Job submission and management through web services the experience with the CREAM service

CERN Document Server

Aiftimiei, C; Bertocco, S; Fina, S D; Ronco, S D; Dorigo, A; Gianelle, A; Marzolla, M; Mazzucato, M; Sgaravatto, M; Verlato, M; Zangrando, L; Corvo, M; Miccio, V; Sciabà, A; Cesini, D; Dongiovanni, D; Grandi, C

2008-01-01

Modern Grid middleware is built around components providing basic functionality, such as data storage, authentication, security, job management, resource monitoring and reservation. In this paper we describe the Computing Resource Execution and Management (CREAM) service. CREAM provides a Web service-based job execution and management capability for Grid systems; in particular, it is being used within the gLite middleware. CREAM exposes a Web service interface allowing conforming clients to submit and manage computational jobs to a Local Resource Management System. We developed a special component, called ICE (Interface to CREAM Environment) to integrate CREAM in gLite. ICE transfers job submissions and cancellations from the Workload Management System, allowing users to manage CREAM jobs from the gLite User Interface. This paper describes some recent studies aimed at assessing the performance and reliability of CREAM and ICE; those tests have been performed as part of the acceptance tests for integration of ...

Job submission and management through web services: the experience with the CREAM service

Energy Technology Data Exchange (ETDEWEB)

Aiftimiei, C; Andreetto, P; Bertocco, S; Fina, S D; Ronco, S D; Dorigo, A; Gianelle, A; Marzolla, M; Mazzucato, M; Sgaravatto, M; Verlato, M; Zangrando, L [INFN Sezione di Padova, Via Marzolo 8, 35131 Padova (Italy); Corvo, M; Miccio, V; Sciaba, A [CERN, BAT. 28-1-019, 1211 Geneve (Switzerland); Cesini, D; Dongiovanni, D [INFN CNAF, viale Berti Pichat 6/2, 40127 Bologna (Italy); Grandi, C [INFN Sezione di Bologna, viale Berti Pichat 6/2, 40127 Bologna (Italy)

2008-07-15

Modern Grid middleware is built around components providing basic functionality, such as data storage, authentication, security, job management, resource monitoring and reservation. In this paper we describe the Computing Resource Execution and Management (CREAM) service. CREAM provides a Web service-based job execution and management capability for Grid systems; in particular, it is being used within the gLite middleware. CREAM exposes a Web service interface allowing conforming clients to submit and manage computational jobs to a Local Resource Management System. We developed a special component, called ICE (Interface to CREAM Environment) to integrate CREAM in gLite. ICE transfers job submissions and cancellations from the Workload Management System, allowing users to manage CREAM jobs from the gLite User Interface. This paper describes some recent studies aimed at assessing the performance and reliability of CREAM and ICE; those tests have been performed as part of the acceptance tests for integration of CREAM and ICE in gLite. We also discuss recent work towards enhancing CREAM with a BES and JSDL compliant interface.

Job submission and management through web services: the experience with the CREAM service

International Nuclear Information System (INIS)

Aiftimiei, C; Andreetto, P; Bertocco, S; Fina, S D; Ronco, S D; Dorigo, A; Gianelle, A; Marzolla, M; Mazzucato, M; Sgaravatto, M; Verlato, M; Zangrando, L; Corvo, M; Miccio, V; Sciaba, A; Cesini, D; Dongiovanni, D; Grandi, C

2008-01-01

Modern Grid middleware is built around components providing basic functionality, such as data storage, authentication, security, job management, resource monitoring and reservation. In this paper we describe the Computing Resource Execution and Management (CREAM) service. CREAM provides a Web service-based job execution and management capability for Grid systems; in particular, it is being used within the gLite middleware. CREAM exposes a Web service interface allowing conforming clients to submit and manage computational jobs to a Local Resource Management System. We developed a special component, called ICE (Interface to CREAM Environment) to integrate CREAM in gLite. ICE transfers job submissions and cancellations from the Workload Management System, allowing users to manage CREAM jobs from the gLite User Interface. This paper describes some recent studies aimed at assessing the performance and reliability of CREAM and ICE; those tests have been performed as part of the acceptance tests for integration of CREAM and ICE in gLite. We also discuss recent work towards enhancing CREAM with a BES and JSDL compliant interface

20 CFR 655.185 - Job service complaint system; enforcement of work contracts.

Science.gov (United States)

2010-04-01

... 20 Employees' Benefits 3 2010-04-01 2010-04-01 false Job service complaint system; enforcement of... Job service complaint system; enforcement of work contracts. (a) Filing with DOL. Complaints arising under this subpart must be filed through the Job Service Complaint System, as described in 20 CFR part...

20 CFR 655.1316 - Job Service Complaint System; enforcement of work contracts.

Science.gov (United States)

2010-04-01

... 20 Employees' Benefits 3 2010-04-01 2010-04-01 false Job Service Complaint System; enforcement of... for Temporary Agricultural Employment in the United States (H-2A Workers) § 655.1316 Job Service... through the Job Service Complaint System, as described in 20 CFR part 658, Subpart E. Complaints which...

Efek Management Commitment Terhadap Service on Employee Service Behaviors : Peranan Mediasi Dari Job Satisfaction

OpenAIRE

Agustina, Nina; Diangtyas

2009-01-01

The purpose of this paper is to examine the impact of management commitment to service on employee service behaviors and to develop and test a conceptual model of the antecedents and consequences of job satisfaction in the hospitality industry. The conceptual framework consists of the following constructs: management support, reward, empowerment, training, job satisfaction, extra role customer service behavior and cooperation. Moreover, six hypotheses were developed and tested. Instrument ...

Beyond Batch Processing: Towards Real-Time and Streaming Big Data

OpenAIRE

Shahrivari, Saeed; Jalili, Saeed

2014-01-01

Today, big data is generated from many sources and there is a huge demand for storing, managing, processing, and querying on big data. The MapReduce model and its counterpart open source implementation Hadoop, has proven itself as the de facto solution to big data processing. Hadoop is inherently designed for batch and high throughput processing jobs. Although Hadoop is very suitable for batch jobs but there is an increasing demand for non-batch processes on big data like: interactive jobs, r...

Job Satisfaction and Public Service Motivation

OpenAIRE

Kaiser, Lutz C.

2014-01-01

Based on a unique case study-dataset, the paper analyses job satisfaction and public service motivation in Germany. A special issue of the investigation is related to the evaluation of performance pay scales that were introduced some years ago to German public employees within the frame of fostering New Public Management. The findings display a general dominance of intrinsic motivators. Additionally, this kind of motivators plays an important role with regard to building up and keeping job sa...

Clients’ Perspectives Toward Audit Service Quality of the Big 4 inThailand

OpenAIRE

Sonsa-ardjit, Pitchaya; Vejaratpimol, Ramon

2010-01-01

Purpose The purpose of this thesis is, firstly, to investigate clients’ perspective toward the Big 4’s financial audit service quality. Secondly, the gaps between clients’ perceptions and expectations of audit service quality provided by the Big 4 audit firms will be studied. Finally, factors influencing clients’ expectations of audit service quality will be categorised. Method A combination of qualitative and quantitative approach is used in the form of a web-based self-completion questionna...

Job Sharing: An Employment Alternative for the Career Services Professional.

Science.gov (United States)

Johnson, Louise; Meerdink, Lois A.

1985-01-01

Describes and assesses job sharing as an employment alternative for career services professionals. Discusses the job-sharing format with regard to fringe benefits, scheduling, advantages, client reactions, potential problems, and specific factors that contribute to successful job sharing. (BH)

Job satisfaction and social rewards in the social services

Directory of Open Access Journals (Sweden)

Jorunn Theresia Jessen

2015-03-01

Full Text Available This article investigates the sources of job satisfaction among practitioners and managers employed in the Norwegian public social services and the professionals ´ perception of social rewards in particular. Being valued, receiving praise and positive feedback are considered to be important aspects of job satisfaction. Nevertheless the expertise and competence of social workers is not always acknowledged. A central question raised is whether the workers ´ job satisfaction is influenced by their opportunities for support and recognition, compared to other (intrinsic and organisational rewarding aspects available to social service workers. The empirical data come from a 2004 quantitative survey among social workers in local welfare agencies. Despite conflicting demands and lack of resources in the front line services, findings indicate that managers and practitioners perceive their work as overall equally satisfying. Still, the managers find their job more interesting and challenging due to their position, reporting higher feelings of accomplishment and control over work. Receiving public approval and co-worker support are positively associated with job satisfaction within both work positions, while superior support and client recognition were found to be significantly rewarding aspects to the practitioners only. The final discussion addresses the challenges for an organizational climate that sustain the worth and contribution of social professionals.

Efficient Job Provisioning for a Cloud Service Provider

Directory of Open Access Journals (Sweden)

Sharma Dharmvir

2016-01-01

Full Text Available Cloud Computing is a very fast emerging technology as every enterprise is moving fast towards this system. Cloud Computing is known as a provider of dynamic services. It optimizes a very large, scalable and virtualized resource. So lots of industries have joined this bandwagon nowadays. One of the major research issues is to maintain good Quality of Service (QoS of a Cloud Service Provider (CSP. The QoS encompasses different parameters, like, smart job allocation strategy, efficient load balancing, response time optimization, reduction in wastage of bandwidth, accountability of the overall system, etc. The efficient allocation strategy of the independent computational jobs among different Virtual Machines (VM in a Data center (DC is a distinguishable challenge in the Cloud Computing domain and finding out an optimal job allocation strategy guided by a good scheduling heuristic for such an environment is a mape-k loop problem. So different heuristic approaches may be used for better result and in this result we paper we implement worst fit in mape-k and evaluated the results.

Design of Intelligent Manufacturing Big Data Cloud Service Platform

Directory of Open Access Journals (Sweden)

Cai Danlin

2018-01-01

Full Text Available With the coming of the intelligent manufacturing, the technology and application of industrial big data will be popular in the future. The productivity, competitiveness and innovation of the manufacturing industries will be improved through the integrated innovation of big data technology and industries. Besides, products, production process, management, services, new form and new models will be more intellectualized. They will support the transformation and upgrading of manufacturing industry and the construction of an open, shared and collaborative ecological environment for intelligent manufacturing industry.

On-The-Job Training: A Practical Guide for Food Service Supervisors.

Science.gov (United States)

Hospital Research and Educational Trust, Chicago, IL.

The on-the-job training guide was developed to assist food service supervisors in preparing, presenting, and evaluating a Job Instruction Training (JIT) lesson, a method which employs step-by-step learning of job-related tasks. Part 1, preparing for a JIT lesson, discusses the checklist of duties, the job description, the skills inventory, the…

25 CFR 26.15 - What makes an applicant eligible for Job Placement and Training services?

Science.gov (United States)

2010-04-01

... SERVICES JOB PLACEMENT AND TRAINING PROGRAM General Applicability § 26.15 What makes an applicant eligible for Job Placement and Training services? You are eligible for services if: (a) You meet the definition... show a need for job training or placement services in order to become gainfully and meaningfully...

Antecedents of big data quality : An empirical examination in financial service organizations

NARCIS (Netherlands)

Haryadi, Adiska Fardani; Hulstijn, Joris; Wahyudi, A.; van der Voort, H.G.; Janssen, M.F.W.H.A.

Big data has been acknowledged for its enormous potential. In contrast to the potential, in a recent survey more than half of financial service organizations reported that big data has not delivered the expected value. One of the main reasons for this is related to data quality. The objective of

Antecedents of big data quality : An empirical examination in financial service organizations

NARCIS (Netherlands)

Fardani Haryadi, Adiska; Janssen, Marijn; Hulstijn, Joris; van der Voort, Haiko; Wahyudi, Agung

2016-01-01

Big data has been acknowledged for its enormous potential. In contrast to the potential, in a recent survey more than half of financial service organizations reported that big data has not delivered the expected value. One of the main reasons for this is related to data quality. The objective of

Big Data and HPC collocation: Using HPC idle resources for Big Data Analytics

OpenAIRE

MERCIER , Michael; Glesser , David; Georgiou , Yiannis; Richard , Olivier

2017-01-01

International audience; Executing Big Data workloads upon High Performance Computing (HPC) infrastractures has become an attractive way to improve their performances. However, the collocation of HPC and Big Data workloads is not an easy task, mainly because of their core concepts' differences. This paper focuses on the challenges related to the scheduling of both Big Data and HPC workloads on the same computing platform. In classic HPC workloads, the rigidity of jobs tends to create holes in ...

25 CFR 26.27 - What kind of Job Placement support services can I expect?

Science.gov (United States)

2010-04-01

... resume preparation, interview techniques, job retention, and related living skills. ... 25 Indians 1 2010-04-01 2010-04-01 false What kind of Job Placement support services can I expect? 26.27 Section 26.27 Indians BUREAU OF INDIAN AFFAIRS, DEPARTMENT OF THE INTERIOR HUMAN SERVICES JOB...

Integration of social media with healthcare big data for improved service delivery

Directory of Open Access Journals (Sweden)

Sibulela Mgudlwa

2018-04-01

Full Text Available Background: In the last decade, social media users across the world have crossed 1 billion, making it one of the fastest growing sources of big data. Also, people needing healthcare continue to increase in every society. Through accessibility, communication and interaction between health practitioners and patients, this type of ever-growing, social media subscriber–based platform can be of significant use in improving healthcare delivery to society. However, users encounter serious challenges in their attempts to make use of social media and big data for health-related services. The challenges are primarily caused by factors such as integration, complexity, security and privacy. The challenges are mainly owing to the sensitive nature of the healthcare environment, as a result of personalisation and privacy of information.   Objectives: The objectives of the study were to examine and gain a better understanding of the complexities that are associated with the use of social media and healthcare big data, through influencing factors, and to develop a framework that can be used to improve health-related services to the patients.   Methods: The interpretivist approach was employed, within which qualitative data were collected. This included documents and existing literature in the areas of social media and healthcare big data. To have a good spread of both previous and current state of events within the phenomena being studied, literature published between 2006 and 2016 were gathered. The data were interpretively analysed.   Results: Based on the analysis of the data, factors of influence were found, which were used to develop a model. The model illustrates how the factors of influence can enable and at the same time constrain the use of social media for healthcare services. The factors were interpreted from which a framework was developed. The framework is intended to guide integration of social media with healthcare big data through which

Jobs within a 30-minute transit ride - Service

Data.gov (United States)

U.S. Environmental Protection Agency — This mapping service summarizes the total number of jobs that can be reached within 30 minutes by transit. EPA modeled accessibility via transit by calculating total...

The Ins and Outs of Keeping US Service Jobs at Work

National Research Council Canada - National Science Library

Gorney, Eric D

2006-01-01

The purpose of this research is to discuss employment in the United States (US) service sector. The main concern is not pinpointing numerical estimates, but instead identifying trends which lead to job growth or job loss...

Job Demands and Job Resources in Human Service Managerial Work An External Assessment ThroughWork Content Analysis

Directory of Open Access Journals (Sweden)

Linda Corin

2016-12-01

Full Text Available Managers’ psychosocial working conditions are important for managerial sustainability in the public sector. The job demands-resources (JD-R model is a widely applied and well-recognized framework for measuring psychosocial working conditions. However, there is still a need for methodological contributions including more objective as well as qualitative ways to assess these conditions. In this study, job demands and job resources as well as the balance between them was qualitatively and externally assessed for first-line human service managers using a work content analysis method. Conditions and actions were focused upon with an external perspective. Special attention was paid to concrete examples and consequences of work characteristics with predefined criteria and cut-off points to guide the assessments. The results reveal an imbalance for human service managers between high levels of job demands and the lack of job resources available to meet these demands. Work overload, conflicting and unclear goals and tasks, emotional demands, restricted control, and lack of supervisory and organizational support generally characterized the managerial assignment. The analysis provided concrete explanations of the current work strain in this group of employees, thereby giving both short-term and long-term possibilities for improvement of managerial work and sustainability.

A Practice onto Personnel In-Service Training’s Affect to Job Satisfaction

Directory of Open Access Journals (Sweden)

Emrah Köksal

2011-06-01

Full Text Available The kitchen which is qualified as the hearth of hotels is a department includes kitchen staff whose responsibilities, authority and duties are identified related to an organizational structure and in a hierarchy instead of being merely a physical space with equipment and working areas that are built for food production. The aim of kitchen is to realize food production in the limits of cost, quality and hygiene standards of hotel. Beside many factors which affect job satisfaction and organizational loyalty the training which is going to be received is also important. As knowing the job increases the job satisfaction and self confidence and it also affects the organizational loyalty in a positive way. This study aims that grups hotel, how does in-service training affect kitchen personnel. In this study applied filed technique used in and firstly searched the factors affect job satisfaction and thoughts about in-service training then applied an one-week training to the same personnel. A different survey performed order to measure the affect to job satisfaction of personnel who was in training and to determine is the in-service training suitable.

BigDataBench: a Big Data Benchmark Suite from Internet Services

OpenAIRE

Wang, Lei; Zhan, Jianfeng; Luo, Chunjie; Zhu, Yuqing; Yang, Qiang; He, Yongqiang; Gao, Wanling; Jia, Zhen; Shi, Yingjie; Zhang, Shujie; Zheng, Chen; Lu, Gang; Zhan, Kent; Li, Xiaona; Qiu, Bizhu

2014-01-01

As architecture, systems, and data management communities pay greater attention to innovative big data systems and architectures, the pressure of benchmarking and evaluating these systems rises. Considering the broad use of big data systems, big data benchmarks must include diversity of data and workloads. Most of the state-of-the-art big data benchmarking efforts target evaluating specific types of applications or system software stacks, and hence they are not qualified for serving the purpo...

76 FR 17963 - Renewal of Agency Information Collection for Application for Job Placement and Training Services...

Science.gov (United States)

2011-03-31

... Application for Job Placement and Training Services; Request for Comments AGENCY: Bureau of Indian Affairs... information for the Application for Job Placement and Training Services. The information collection is... training program, which provides vocational/technical training, related counseling, guidance, job placement...

Job involvement of primary healthcare employees: does a service provision model play a role?

Science.gov (United States)

Koponen, Anne M; Laamanen, Ritva; Simonsen-Rehn, Nina; Sundell, Jari; Brommels, Mats; Suominen, Sakari

2010-05-01

To investigate whether the development of job involvement of primary healthcare (PHC) employees in Southern Municipality (SM), where PHC services were outsourced to an independent non-profit organisation, differed from that in the three comparison municipalities (M1, M2, M3) with municipal service providers. Also, the associations of job involvement with factors describing the psychosocial work environment were investigated. A panel mail survey 2000-02 in Finland (n=369, response rates 73% and 60%). The data were analysed by descriptive statistics and multivariate linear regression analysis. Despite the favourable development in the psychosocial work environment, job involvement decreased most in SM, which faced the biggest organisational changes. Job involvement decreased also in M3, where the psychosocial work environment deteriorated most. Job involvement in 2002 was best predicted by high baseline level of interactional justice and work control, positive change in interactional justice, and higher age. Also other factors, such as organisational stability, seemed to play a role; after controlling for the effect of the psychosocial work characteristics, job involvement was higher in M3 than in SM. Outsourcing of PHC services may decrease job involvement at least during the first years. A particular service provision model is better than the others only if it is superior in providing a favourable and stable psychosocial work environment.

34 CFR 692.30 - How does a State administer its community service-learning job program?

Science.gov (United States)

2010-07-01

...-learning job program? 692.30 Section 692.30 Education Regulations of the Offices of the Department of... Administer Its Community Service-Learning Job Program? § 692.30 How does a State administer its community service-learning job program? (a)(1) Each year, a State may use up to 20 percent of its allotment for a...

[Job satisfaction and work impact among providers of a mental health service].

Science.gov (United States)

Rebouças, Denise; Legay, Letícia Fortes; Abelha, Lúcia

2007-04-01

To assess job satisfaction and work impact among providers of a mental health service and their potential association with sociodemographic and job-related variables. A cross-sectional study was carried out in 321 employees of a long-stay mental health service in Rio de Janeiro, Southeastern Brazil, in 2005. The following instruments were applied: the WHO Mental Health Services Satisfaction and Work Impact scales, and a questionnaire on sociodemographic and job features. Variable associations were analysed using the Mann-Whitney, Kruskal-Wallis, Chi-square tests and multiple linear regression. The mean score of satisfaction was 3.29 (SD=0.64) and the mean score for work impact was 1.77 (SD=0.62). Of all respondents, 61.8% reported a moderate level of satisfaction. Job satisfaction was positively associated with increasing age, lower schooling, being a non-governmental organization employee, developing non-patient-related activities, being involved in an innovative project. The highest levels of work impact were observed among civil servants, young people and females. Most features associated to the lowest levels of job satisfaction were associated to the highest levels of work impact. Despite the moderate level of satisfaction among providers, there is an evident need for policy changes, mainly those related to increasing availability of supplies and human resources and building restoration.

ATLAS BigPanDA Monitoring

CERN Document Server

Padolski, Siarhei; The ATLAS collaboration; Klimentov, Alexei; Korchuganova, Tatiana

2017-01-01

BigPanDA monitoring is a web based application which provides various processing and representation of the Production and Distributed Analysis (PanDA) system objects states. Analyzing hundreds of millions of computation entities such as an event or a job BigPanDA monitoring builds different scale and levels of abstraction reports in real time mode. Provided information allows users to drill down into the reason of a concrete event failure or observe system bigger picture such as tracking the computation nucleus and satellites performance or the progress of whole production campaign. PanDA system was originally developed for the Atlas experiment and today effectively managing more than 2 million jobs per day distributed over 170 computing centers worldwide. BigPanDA is its core component commissioned in the middle of 2014 and now is the primary source of information for ATLAS users about state of their computations and the source of decision support information for shifters, operators and managers. In this wor...

ATLAS BigPanDA Monitoring

CERN Document Server

Padolski, Siarhei; The ATLAS collaboration

2017-01-01

BigPanDA monitoring is a web-based application that provides various processing and representation of the Production and Distributed Analysis (PanDA) system objects states. Analysing hundreds of millions of computation entities such as an event or a job BigPanDA monitoring builds different scale and levels of abstraction reports in real time mode. Provided information allows users to drill down into the reason of a concrete event failure or observe system bigger picture such as tracking the computation nucleus and satellites performance or the progress of whole production campaign. PanDA system was originally developed for the Atlas experiment and today effectively managing more than 2 million jobs per day distributed over 170 computing centers worldwide. BigPanDA is its core component commissioned in the middle of 2014 and now is the primary source of information for ATLAS users about state of their computations and the source of decision support information for shifters, operators and managers. In this work...

75 FR 80067 - Renewal of Agency Information Collection for Application for Job Placement and Training Services...

Science.gov (United States)

2010-12-21

... Application for Job Placement and Training Services; Request for Comments AGENCY: Bureau of Indian Affairs... Application for Job Placement and Training Services. The information collection is currently authorized by OMB... information collection conducted under 25 CFR part 26 to administer the job placement and training program...

Value of big data to finance: observations on an internet credit Service Company in China

OpenAIRE

Zhang, Shaofeng; Xiong, Wei; Ni, Wancheng; Li, Xin

2015-01-01

Background: his paper presents a case study on 100Credit, an Internet credit service provider in China. 100Credit began as an IT company specializing in e-commerce recommendation before getting into the credit rating business. The company makes use of Big Data on multiple aspects of individuals' online activities to infer their potential credit risk. Methods: Based on 100Credit's business practices, this paper summarizes four aspects related to the value of Big Data in Internet credit service...

Big Data Discovery and Access Services through NOAA OneStop

Science.gov (United States)

Casey, K. S.; Neufeld, D.; Ritchey, N. A.; Relph, J.; Fischman, D.; Baldwin, R.

2017-12-01

The NOAA OneStop Project was created as a pathfinder effort to to improve the discovery of, access to, and usability of NOAA's vast and diverse collection of big data. OneStop is led by the NOAA/NESDIS National Centers for Environmental Information (NCEI), and is seen as a key NESDIS contribution to NOAA's open data and data stewardship efforts. OneStop consists of an entire framework of services, from storage and interoperable access services at the base, through metadata and catalog services in the middle, to a modern user interface experience at the top. Importantly, it is an open framework where external tools and services can connect at whichever level is most appropriate. Since the beta release of the OneStop user interface at the 2016 Fall AGU meeting, significant progress has been made improving and modernizing many NOAA data collections to optimize their use within the framework. In addition, OneStop has made progress implementing robust metadata management and catalog systems at the collection and granule level and improving the user experience with the web interface. This progress will be summarized and the results of extensive user testing including professional usability studies will be reviewed. Key big data technologies supporting the framework will be presented and a community input sought on the future directions of the OneStop Project.

Big Data in der Cloud

DEFF Research Database (Denmark)

Leimbach, Timo; Bachlechner, Daniel

2014-01-01

Technology assessment of big data, in particular cloud based big data services, for the Office for Technology Assessment at the German federal parliament (Bundestag)......Technology assessment of big data, in particular cloud based big data services, for the Office for Technology Assessment at the German federal parliament (Bundestag)...

Big data a primer

CERN Document Server

Bhuyan, Prachet; Chenthati, Deepak

2015-01-01

This book is a collection of chapters written by experts on various aspects of big data. The book aims to explain what big data is and how it is stored and used. The book starts from  the fundamentals and builds up from there. It is intended to serve as a review of the state-of-the-practice in the field of big data handling. The traditional framework of relational databases can no longer provide appropriate solutions for handling big data and making it available and useful to users scattered around the globe. The study of big data covers a wide range of issues including management of heterogeneous data, big data frameworks, change management, finding patterns in data usage and evolution, data as a service, service-generated data, service management, privacy and security. All of these aspects are touched upon in this book. It also discusses big data applications in different domains. The book will prove useful to students, researchers, and practicing database and networking engineers.

[Current status of job burnout in in-service sailors from 13 provinces and cities in China].

Science.gov (United States)

Shi, L C; Dai, J J; Wang, H R; Wang, J L; Miao, L Q; Yang, L R

2017-12-20

Objective: To investigate the current status of job burnout in in-service sailors, and to provide a basis for the development of intervention measures for job burnout in sailors. Methods: From September 2015 to May 2016, stratified cluster random sampling was used to select 6 172 in-service sailors from 13 provinces and cities as research subjects. General demographic data including age, education background, and household registration and occupational characteristics such as job position, navigating zone, and nature of employment were collected. The Maslach Burnout Inventory-General Survey (MBI-GS) was used to measure the levels of emotional exhaustion, depersonalization, low occupational efficiency, and job burnout, and the influencing factors for job burnout were also analyzed. Results: Of all 6 172 in-service sailors, 112 (1.8%) had a positive result in emotional exhaustion, 870 (14.1%) had a positive result in depersonalization, and 3 517 (57.0%) had a positive result in low occupational efficiency. Of all sailors, 63.3% had job burnout, among whom 54.1% had mild burnout, 8.7% had moderate burnout, and 0.5% had severe burnout. There was a significant difference in the score of job burnout between the sailors with different ages, education backgrounds, types of household registration, job positions, navigating zones, ornature of employment ( P burnout in in-service sailors ( P burnout in the sailors with an age of 30-39 years, education background of junior college or above, urban registration, a job position of second mate/third engineer, a navigating zone of coastal lines, orthe nature of employment of freelance sailor. Conclusion: There is a high incidence rate of job burnout among in-service sailors, and the sailors with a young age, urban registration, a navigating zone of coastal lines, or thenature of employment of freelance sailor tend to have low occupational efficiency. Related measures should be adopted for active intervention.

MERRA Analytic Services: Meeting the Big Data Challenges of Climate Science through Cloud-Enabled Climate Analytics-as-a-Service

Science.gov (United States)

Schnase, J. L.; Duffy, D.; Tamkin, G. S.; Nadeau, D.; Thompson, J. H.; Grieg, C. M.; McInerney, M.; Webster, W. P.

2013-12-01

Climate science is a Big Data domain that is experiencing unprecedented growth. In our efforts to address the Big Data challenges of climate science, we are moving toward a notion of Climate Analytics-as-a-Service (CAaaS). We focus on analytics, because it is the knowledge gained from our interactions with Big Data that ultimately produce societal benefits. We focus on CAaaS because we believe it provides a useful way of thinking about the problem: a specialization of the concept of business process-as-a-service, which is an evolving extension of IaaS, PaaS, and SaaS enabled by Cloud Computing. Within this framework, Cloud Computing plays an important role; however, we see it as only one element in a constellation of capabilities that are essential to delivering climate analytics as a service. These elements are essential because in the aggregate they lead to generativity, a capacity for self-assembly that we feel is the key to solving many of the Big Data challenges in this domain. MERRA Analytic Services (MERRA/AS) is an example of cloud-enabled CAaaS built on this principle. MERRA/AS enables MapReduce analytics over NASA's Modern-Era Retrospective Analysis for Research and Applications (MERRA) data collection. The MERRA reanalysis integrates observational data with numerical models to produce a global temporally and spatially consistent synthesis of 26 key climate variables. It represents a type of data product that is of growing importance to scientists doing climate change research and a wide range of decision support applications. MERRA/AS brings together the following generative elements in a full, end-to-end demonstration of CAaaS capabilities: (1) high-performance, data proximal analytics, (2) scalable data management, (3) software appliance virtualization, (4) adaptive analytics, and (5) a domain-harmonized API. The effectiveness of MERRA/AS has been demonstrated in several applications. In our experience, Cloud Computing lowers the barriers and risk to

MERRA Analytic Services: Meeting the Big Data Challenges of Climate Science Through Cloud-enabled Climate Analytics-as-a-service

Science.gov (United States)

Schnase, John L.; Duffy, Daniel Quinn; Tamkin, Glenn S.; Nadeau, Denis; Thompson, John H.; Grieg, Christina M.; McInerney, Mark A.; Webster, William P.

2014-01-01

Climate science is a Big Data domain that is experiencing unprecedented growth. In our efforts to address the Big Data challenges of climate science, we are moving toward a notion of Climate Analytics-as-a-Service (CAaaS). We focus on analytics, because it is the knowledge gained from our interactions with Big Data that ultimately produce societal benefits. We focus on CAaaS because we believe it provides a useful way of thinking about the problem: a specialization of the concept of business process-as-a-service, which is an evolving extension of IaaS, PaaS, and SaaS enabled by Cloud Computing. Within this framework, Cloud Computing plays an important role; however, we it see it as only one element in a constellation of capabilities that are essential to delivering climate analytics as a service. These elements are essential because in the aggregate they lead to generativity, a capacity for self-assembly that we feel is the key to solving many of the Big Data challenges in this domain. MERRA Analytic Services (MERRAAS) is an example of cloud-enabled CAaaS built on this principle. MERRAAS enables MapReduce analytics over NASAs Modern-Era Retrospective Analysis for Research and Applications (MERRA) data collection. The MERRA reanalysis integrates observational data with numerical models to produce a global temporally and spatially consistent synthesis of 26 key climate variables. It represents a type of data product that is of growing importance to scientists doing climate change research and a wide range of decision support applications. MERRAAS brings together the following generative elements in a full, end-to-end demonstration of CAaaS capabilities: (1) high-performance, data proximal analytics, (2) scalable data management, (3) software appliance virtualization, (4) adaptive analytics, and (5) a domain-harmonized API. The effectiveness of MERRAAS has been demonstrated in several applications. In our experience, Cloud Computing lowers the barriers and risk to

20 CFR 1010.210 - In which Department job training programs do covered persons receive priority of service?

Science.gov (United States)

2010-04-01

... 20 Employees' Benefits 3 2010-04-01 2010-04-01 false In which Department job training programs do... job training programs do covered persons receive priority of service? (a) Priority of service applies to every qualified job training program funded, in whole or in part, by the Department, including: (1...

Service worker dose reduction: whose job is it?

International Nuclear Information System (INIS)

Eaton, J.F.

1993-01-01

Nuclear utilities around the world are scrambling to change radiation protection programmes. In the US there are two reasons: Revised government regulatory requirements lowering radiation dose go into effect in January 1994 with an option for implementation in January 1993. The International Commission on Radiation Protection has recommended not allowing any person to receive greater than 10rem over a five year period. These changes create big challenges not only for the utilities but also for the service companies who receive the bulk of outage radiation exposure. Service companies should anticipate that customer administrative dose limits will be lowered significantly with a goal of 2rem/y or less. Improved worker efficiency, improved equipment reliability, better housekeeping and improved outage planning and management come from more effective field service training and ''as low as reasonably achievable'' ALARA programmes. Service companies should seriously consider expanding and improving these programmes. (Author)

The Great Recession and Job Loss Spillovers : Impact of Tradable Employment Shocks on Supporting Services

OpenAIRE

Nguyen, Ha; Rezaei, Shawheen

2016-01-01

This paper explores the spillover effects of job losses via input linkages during the Great Recession. Exploiting exogenous variation in tradable employment shocks across U.S. counties, the paper finds that job losses in the tradable sectors cause further job losses in local supporting services. The result is not due to reverse causation, construction job losses, or credit shortages. In ad...

Big Data Analysis of Contractor Performance Information for Services Acquisition in DoD: A Proof of Concept

Science.gov (United States)

2016-04-30

qÜáêíÉÉåíÜ=^ååì~ä= ^Åèìáëáíáçå=oÉëÉ~êÅÜ= póãéçëáìã= qÜìêëÇ~ó=pÉëëáçåë= sçäìãÉ=ff= = Big Data Analysis of Contractor Performance Information for Services...Director, Acquisition Career Management, ASN(RD&A) Big Data Analysis of Contractor Performance Information for Services Acquisition in DoD: A Proof of...oÉëÉ~êÅÜ=mêçÖê~ãW= `êÉ~íáåÖ=póåÉêÖó=Ñçê=fåÑçêãÉÇ=`Ü~åÖÉ= - 398 - Big Data Analysis of Contractor Performance Information for Services Acquisition in

THE EFFECT OF SOCIAL CAPITAL LEVEL OF ACCOMMODATION SERVICES EMPLOYEES ON JOB SATISFACTION

Directory of Open Access Journals (Sweden)

Lokman TOPRAK

2015-07-01

Full Text Available The aim of this research is to reveal the social capital level of employees in accommodation services, to measure job satisfaction by a Job Satisfaction Survey and to find out the relationship between social capital and job satisfaction. The sample of the research is 210 workers who work in 2, 3, 4 and 5 star hotels in Mardin and Batman and who are chosen with random sampling. For this aim in this research a scale prepared for researchers with 55 articles named “social capital levels in hotel managements” and again a scale to measure the job satisfaction of employees in accommodation services with 36 questions are used. The scale with 55 articles mentioned above is composed of five sections with titles of; organizational commitment, communication-social interaction, collaboration-social networks and participation, confidence, tolerance towards differences and sharing the norms. At the end of the research it has been found out that there is a positive relation between job satisfaction and social capital except for the aspects of tolerance towards differences and sharing the norms. It has been confirmed that tolerance towards differences and sharing the norms has a slightly negative relationship with job satisfaction. Those results show that to increase the job satisfaction of employees and accordingly to increase their efficiency and to ensure the continuance of the business they should take measures to increase social capital of employees.

Public Service Motivation, User Orientation and Job Satisfaction: A Question of Employment Sector?

DEFF Research Database (Denmark)

Andersen, Lotte Bøgh; Kjeldsen, Anne Mette

2013-01-01

not differ significantly between the private and public sector, while the user orientation/job satisfaction association is strongest for private employees. This suggests that to understand the relationships between pro-social motivation, employment sector and job satisfaction, future studies could fruitfully...... satisfaction. Second, the relationship between job satisfaction and these two types of pro-social motivation, PSM and user orientation, may also be found in the private sector. This study tests whether job satisfaction is associated with PSM and user orientation, and whether these associations differ between......Public service motivation (PSM) has been shown to be positively related to job satisfaction in the public sector, but there are two gaps in the literature. First, not only PSM but also pro-social motivation directed towards helping specific others (called user orientation) may affect job...

Work Engagement in the Public Service Context: The Dual Perceptions of Job Characteristics

DEFF Research Database (Denmark)

Noesgaard, Mette Strange; Hansen, Jesper Rosenberg

2017-01-01

. In this qualitative study, home caregivers’ perceptions of job characteristics are investigated. Semi-structured interviews and observations reveal three main themes: Optimization, helping others and emotional work. These show a dual perception of job characteristics consequently influencing the experienced...... engagement. Using Public Service Motivation literature, these dual perceptions are discussed...

Work Engagement in the Public Service Context: The Dual Perceptions of Job Characteristics

DEFF Research Database (Denmark)

Noesgaard, Mette Strange; Rosenberg Hansen, Jesper

2018-01-01

. In this qualitative study, home caregivers’ perceptions of job characteristics are investigated. Semi-structured interviews and observations reveal three main themes: Optimization, helping others and emotional work. These show a dual perception of job characteristics consequently influencing the experienced...... engagement. Using Public Service Motivation literature, these dual perceptions are discussed...

Telecare service activity analysis using Big Data and Data Mining

Directory of Open Access Journals (Sweden)

Alfredo Moreno Muñoz

2017-01-01

Full Text Available In the current moment that we are living now, the use of Big Data is taken a strength and a very important relevance. The biggest companies of social sector and service sector are using Big Data technologies that allow to store and treat all the information that they have of users and, in a second way, the incorporation of the knowledge of the treatment of this information in the life of the users, in the way of improve the services offered and go to the next step in the relationship of customer/company. In telecare, with the IP technology in Telecare Unit, the communication between the unit and control centre will be done using internet instead of telephony cable. The companies will start to use these technologies to store all the information that the unit will send to the control center. With all this information, the companies will be able to discover patterns of user’s behavior, detect some illnesses like, for example, alzheimer. The most important action that the companies will be able to have is to have more information related to the situation of all devices and sensors installed in user’s home when the emergency alarm is raised.

Big Data: Implications for Health System Pharmacy.

Science.gov (United States)

Stokes, Laura B; Rogers, Joseph W; Hertig, John B; Weber, Robert J

2016-07-01

Big Data refers to datasets that are so large and complex that traditional methods and hardware for collecting, sharing, and analyzing them are not possible. Big Data that is accurate leads to more confident decision making, improved operational efficiency, and reduced costs. The rapid growth of health care information results in Big Data around health services, treatments, and outcomes, and Big Data can be used to analyze the benefit of health system pharmacy services. The goal of this article is to provide a perspective on how Big Data can be applied to health system pharmacy. It will define Big Data, describe the impact of Big Data on population health, review specific implications of Big Data in health system pharmacy, and describe an approach for pharmacy leaders to effectively use Big Data. A few strategies involved in managing Big Data in health system pharmacy include identifying potential opportunities for Big Data, prioritizing those opportunities, protecting privacy concerns, promoting data transparency, and communicating outcomes. As health care information expands in its content and becomes more integrated, Big Data can enhance the development of patient-centered pharmacy services.

The effects of job satisfaction, employee commitment, workplace friendship and team culture on service recovery performance

Directory of Open Access Journals (Sweden)

Abednego Feehi Okoe

2016-11-01

Full Text Available The existing literature has called for more studies to be conducted on how human resource activities affect service recovery performance. This study therefore ascertains the effects of Job Satisfaction, employee Commitment, Workplace Friendship and Team Culture on Service Recovery Performance. The survey research design was used in this study. The participants were frontline employees from the various service sectors in Ghana. The convenience sampling was used as the sampling technique. A total of 372 responses were used in the final analysis. The scale items were adapted from the existing literature. Confirmatory factor analysis was used to assess the fit of the model. Multiple linear regression was used to test the hypotheses. The findings indicate that Job Satisfaction, Employee Commitment, Workplace Friendship and Team Culture significantly exerts positive influence on Service Recovery Performance of frontline employees. The findings from the study imply that there are several antecedents to Service Recovery Performance. Team Culture, Workplace Commitment, and Employee Commitment can influence Job Satisfaction which in turn will affect Service Recovery Performance resulting in customer satisfaction and retention.

The Big Five Personality Factors and Application Fields

Directory of Open Access Journals (Sweden)

Agnė Matuliauskaitė

2011-07-01

Full Text Available The Big five factors are used in many research fields. The literature survey showed that the personality trait theory was used to study and explain relations with different variables. The article focuses on a brief description of methods that can help with identifying the Big five factors and considers the model for applying them in personnel selection. The paper looks at scientific researches assessing relations between the Big five factors and different variables such as job performance, academic performance, student knowledge management and evaluation.Article in Lithuanian

45 CFR 287.125 - What supportive and job retention services may be provided under the NEW Program?

Science.gov (United States)

2010-10-01

... 45 Public Welfare 2 2010-10-01 2010-10-01 false What supportive and job retention services may be provided under the NEW Program? 287.125 Section 287.125 Public Welfare Regulations Relating to Public... Operations § 287.125 What supportive and job retention services may be provided under the NEW Program? The...

Traffic information computing platform for big data

Energy Technology Data Exchange (ETDEWEB)

Duan, Zongtao, E-mail: ztduan@chd.edu.cn; Li, Ying, E-mail: ztduan@chd.edu.cn; Zheng, Xibin, E-mail: ztduan@chd.edu.cn; Liu, Yan, E-mail: ztduan@chd.edu.cn; Dai, Jiting, E-mail: ztduan@chd.edu.cn; Kang, Jun, E-mail: ztduan@chd.edu.cn [Chang' an University School of Information Engineering, Xi' an, China and Shaanxi Engineering and Technical Research Center for Road and Traffic Detection, Xi' an (China)

2014-10-06

Big data environment create data conditions for improving the quality of traffic information service. The target of this article is to construct a traffic information computing platform for big data environment. Through in-depth analysis the connotation and technology characteristics of big data and traffic information service, a distributed traffic atomic information computing platform architecture is proposed. Under the big data environment, this type of traffic atomic information computing architecture helps to guarantee the traffic safety and efficient operation, more intelligent and personalized traffic information service can be used for the traffic information users.

Traffic information computing platform for big data

International Nuclear Information System (INIS)

Duan, Zongtao; Li, Ying; Zheng, Xibin; Liu, Yan; Dai, Jiting; Kang, Jun

2014-01-01

Big data environment create data conditions for improving the quality of traffic information service. The target of this article is to construct a traffic information computing platform for big data environment. Through in-depth analysis the connotation and technology characteristics of big data and traffic information service, a distributed traffic atomic information computing platform architecture is proposed. Under the big data environment, this type of traffic atomic information computing architecture helps to guarantee the traffic safety and efficient operation, more intelligent and personalized traffic information service can be used for the traffic information users

Why should gender differences in hospitality really matter? A study of personnel’s service orientation and job satisfaction in hotels

OpenAIRE

Petrović, Marko D.; Jovanović, Tamara; Marković, Jelica J.; Armenski, Tanja; Marković, Vladimir

2014-01-01

In this article we examine the gender differences among hotel employees in service orientation and job satisfaction. To determine these differences, we used a service orientation scale (SOS), developed by Dienhart, Gregoire, Downey and Knight and a job satisfaction scale developed by Lytle. Our assumptions were that there would be significant gender differences in service orientation and job satisfaction. Our research proved factor structures of the two scales we used. Specifically, we showed...

Dining Services offers new jobs for the new year

OpenAIRE

Gehrt, Katie

2006-01-01

Virginia Tech's Dining Services will hold its first one-stop job fair from 10 a.m. to 7 p.m. Jan. 12, 2007 in Shultz Dining Center. The fair will provide an opportunity for wage and student position applicants to apply, interview, and receive a decision all in the same day. There are a wide variety of positions available at dining locations across campus.

Job Creation by Firms in Denmark

DEFF Research Database (Denmark)

Ibsen, Rikke Falkner; Westergård-Nielsen, Niels

-offs and mergers. The analysis will make it possible to differentiate between net and gross creation of jobs because we can follow each single individual in and out of jobs. We have for Denmark found that size on its own does not have a big impact, but young firms are much more likely to contribute to a positive...... growth. For the U.S. it has been found that the growth in jobs comes from small businesses. A closer analysis though shows that the main factor here is the firm age. Thus, it is found that young firms net create the most jobs, but they are also responsible for the most job destructions.......In this paper we will look at job creation and destruction in firms. We will answer the question if it is the large companies that create jobs, while the smaller companies are contributing much less. Or is it the young companies that create jobs? And who destroys the most jobs? In the crisis...

Analysing admission rules to a service system with two job classes and mandatory pre-emption

DEFF Research Database (Denmark)

Larsen, Christian

, the pre-emptive action will cause a time delay before the server can start the service. Therefoe, the administrator might in some instances deny a class 2 job access to an idle server and instead hold it back in queue. We develop a semi-Markov decision model for this problem. In order to compute......We consider a queueing system consisting of S identical servers and two job classes, where class 1 jobs must always be processed as soon as possible. Therefore, the administrator of the system must, if neccesary, pre-empt a class 2 job and allocate the server to an arriving class 1 job. However...

Differences regarding job satisfaction and job involvement of psychologists with different dominant career anchors.

Science.gov (United States)

Bester, C L; Mouton, T

2006-08-01

In order to contribute to higher levels of job satisfaction, job involvement and productivity, a match or fit should be established between the dominant career anchor associated with a specific occupation and that of the employee. A career anchor is an individual's set of self-perceived talents, abilities, motives, needs and values that form the nucleus of one's occupational self-concept. Psychologists have always been part of the service orientated careers and therefore one would expect that it is likely that their dominant career anchor would be service orientation. If this is the case, psychologists with service as their dominant career anchor are supposed to have greater job satisfaction and job involvement compared to those with different career anchors. However, according to literature, this assumption is not necessarily correct. The primary goals of the current study were to determine whether in fact service is the dominant career anchor of psychologists in the Free State and whether there are significant differences regarding job satisfaction and job involvement between psychologists with and without service as their dominant career anchor. A third goal was to determine whether psychologists with different dominant career anchors differ significantly from one another regarding job satisfaction and job involvement. Questionnaires measuring career orientations, job satisfaction and job involvement were sent to 165 of the 171 registered psychologists in the Free State region. Only 75 psychologists (45,5%) responded which exceeded the traditional return rate of 20 to 30%. Due to the small sample of respondents, a nonparametric statistical test, namely the Mann Whitney U test was conducted to determine possible differences. An analysis of the data showed that 21 respondents had entrepreneurship as their dominant career orientation while 12 fell in the technical/functional, 12 in the challenging, 9 in the service and 8 in the autonomy categories of dominant

Application of Workflow Technology for Big Data Analysis Service

Directory of Open Access Journals (Sweden)

Bin Zhang

2018-04-01

Full Text Available This study presents a lightweight representational state transfer-based cloud workflow system to construct a big data intelligent software-as-a-service (SaaS platform. The system supports the dynamic construction and operation of an intelligent data analysis application, and realizes rapid development and flexible deployment of the business analysis process that can improve the interaction and response time of the process. The proposed system integrates offline-batch and online-streaming analysis models that allow users to conduct batch and streaming computing simultaneously. Users can rend cloud capabilities and customize a set of big data analysis applications in the form of workflow processes. This study elucidates the architecture and application modeling, customization, dynamic construction, and scheduling of a cloud workflow system. A chain workflow foundation mechanism is proposed to combine several analysis components into a chain component that can promote efficiency. Four practical application cases are provided to verify the analysis capability of the system. Experimental results show that the proposed system can support multiple users in accessing the system concurrently and effectively uses data analysis algorithms. The proposed SaaS workflow system has been used in network operators and has achieved good results.

Review of research on teacher's work motivation and job satisfaction

OpenAIRE

山下, 顕史; Yamashita, Kenji

2010-01-01

In this text, the theory was arranged concerning the teacher's job satisfaction and work motivation. The job satisfaction and the work motivation are especially receiving a big influence from the organizational culture. Moreover, when the organization was managed, there are necessities of the payment of special attention to job satisfaction and work motivation. The teacher's job satisfaction and work motivation of are influenced from not only the factor in the school organization but also the...

Employer-provided support services and job dissatisfaction in Canadian registered nurses.

Science.gov (United States)

Wilkins, Kathryn; Shields, Margot

2012-10-01

Previous research indicates that nurses' job dissatisfaction relates to their work organization and environment; rarely has the contribution of employer provided support services been examined while controlling for the influence of other factors. The objective of this study was to examine job dissatisfaction among Canadian registered nurses in relation to employer-provided programs for child care and fitness or recreation. Data are from 2,993 respondents to the 2005 National Survey of the Work and Health of Nurses, weighted to represent Canada's 91,600 registered nurses in full-time, permanent positions who deliver direct care in hospitals or long-term care facilities. Multivariate modeling was used to examine job dissatisfaction in relation to employer-provided support programs, controlling for personal characteristics and variables reflecting work organization and the work environment. Employer-provided child care assistance programs were available to 16% of nurses, and fitness or recreation programs were available to 38%. An estimated 13% of nurses were dissatisfied with their jobs. Even when controlling for personal characteristics, overtime, shift work, shift length, weekly hours, overload, staffing inadequacy, autonomy, nurse-physician relations, and coworker respect, inverse associations with job dissatisfaction emerged for employer-supported child care (odds ratio = 0.49, 95% confidence interval = 0.27-0.88) and fitness programs (odds ratio = 0.65, 95% confidence interval = 0.42-0.99). This study provides new information suggesting that employer-provided support programs are protective against nurses' job dissatisfaction. This is a key finding in view of nursing shortages and the importance of job satisfaction to retention.

Stress markers in relation to job strain in human service organizations.

Science.gov (United States)

Ohlson, C G; Söderfeldt, M; Söderfeldt, B; Jones, I; Theorell, T

2001-01-01

Workers in human service organizations are often confronted with conflicting demands in providing care or education. The aim of this cross-sectional study was to relate levels of endocrine stress markers to perceived job strain in two human service organizations. Employees in two local units of the social insurance organization and two local units of the individual and family care sections of the social welfare in Sweden were selected and 103 employees participated (56% participation rate). The perceived job strain was assessed with a standardized questionnaire containing questions of the demand-control model. Questions specially designed to measure emotional demands were also included. The stress markers cortisol, prolactin, thyroid-stimulating hormone, testosterone and IgA and IgG were analysed in blood samples. The main finding was an association between high emotional strain and increased levels of prolactin. The levels of cortisol, but none of the other four stress markers, increased slightly with emotional strain. Emotional strain experienced in human service work may cause psychological stress. The increase in prolactin was modest but consistent with findings in other published studies on stress-related endocrine alterations. Copyright 2001 S. Karger AG, Basel.

Differences regarding job satisfaction and job involvement of psychologists with different dominant career anchors

Directory of Open Access Journals (Sweden)

CL Bester

2006-09-01

Full Text Available In order to contribute to higher levels of job satisfaction, job involvement , and productivity, a match or fit should be established between the dominant career anchor associated with a specific occupation and that of the employee. A career anchor is an individual’s set of self-perceived talents, abilities, motives, needs and values that form the nucleus of one’s occupational self-concept. Psychologists have always been part of the service orientated careers and therefore one would expect that it is likely that their dominant career anchor would be service orientation. If this is the case, psychologists with service as their dominant career anchor are supposed to have greater job satisfaction and job involvement compared to those with different career anchors. However, according to literature, this assumption is not necessarily correct. The primary goals of the current study were to determine whether in fact service is the dominant career anchor of psychologists in the Free State and whether there are significant differences regarding job satisfaction and job involvement between psychologists with and without service as their dominant career anchor. A third goal was to determine whether psychologists with different dominant career anchors differ significantly from one another regarding job satisfaction and job involvement. Questionnaires measuring career orientations, job satisfaction and job involvement were sent to 165 of the 171 registered psychologists in the Free State region. Only 75 psychologists (45,5% responded which exceeded the traditional return rate of 20 to 30%. Due to the small sample of respondents, a nonparametric statistical test, namely the Mann Whitney U test was conducted to determine possible differences. An analysis of the data showed that 21 respondents had entrepreneurship as their dominant career orientation while 12 fell in the technical/functional, 12 in the challenging, 9 in the service and 8 in the autonomy

Big Data in industry

Science.gov (United States)

Latinović, T. S.; Preradović, D. M.; Barz, C. R.; Latinović, M. T.; Petrica, P. P.; Pop-Vadean, A.

2016-08-01

The amount of data at the global level has grown exponentially. Along with this phenomena, we have a need for a new unit of measure like exabyte, zettabyte, and yottabyte as the last unit measures the amount of data. The growth of data gives a situation where the classic systems for the collection, storage, processing, and visualization of data losing the battle with a large amount, speed, and variety of data that is generated continuously. Many of data that is created by the Internet of Things, IoT (cameras, satellites, cars, GPS navigation, etc.). It is our challenge to come up with new technologies and tools for the management and exploitation of these large amounts of data. Big Data is a hot topic in recent years in IT circles. However, Big Data is recognized in the business world, and increasingly in the public administration. This paper proposes an ontology of big data analytics and examines how to enhance business intelligence through big data analytics as a service by presenting a big data analytics services-oriented architecture. This paper also discusses the interrelationship between business intelligence and big data analytics. The proposed approach in this paper might facilitate the research and development of business analytics, big data analytics, and business intelligence as well as intelligent agents.

Personality as predictor of customer service centre agent performance in the banking industry: An exploratory study

Directory of Open Access Journals (Sweden)

Linda Blignaut

2014-10-01

Research purpose: The aim of the study was to identify personality traits, as measured by the Occupational Personality Questionnaire 32r (item response theory scored version, including the more parsimonious Big Five personality traits, that may act as job performance predictors for customer service centre (CSC agents in the banking industry. Motivation for the study: This study provides an exploratory investigation of whether specific personality traits differ amongst CSC agents in the banking industry, based on their job performance. No published research in this field could be identified. Research design, approach and method: Purposive sampling was used to collect data from the entire CSC agent base of a particular banking group (N = 89. Responses were analysed by means of quantitative techniques. Main findings and practical/managerial implications: Results indicate that parsimonious traits of personality, expressed as the Big Five personality traits, predict job performance. The importance of carefully selecting suitable job performance criteria for a specific environment, however, emerged as a critical issue in performance prediction. Contribution: The study focuses attention on the importance of CSC agents’ performance as frontline staff in the banking industry and identifying valid criteria for selecting the most suitable agents. Providing a one-contact point of service such as a CSC is a fairly new approach in the South African banking industry and this study provides an initial investigation of personality traits that may serve as job performance predictors in this environment.

Scalable Architecture for Personalized Healthcare Service Recommendation using Big Data Lake

OpenAIRE

Rangarajan, Sarathkumar; Liu, Huai; Wang, Hua; Wang, Chuan-Long

2018-01-01

The personalized health care service utilizes the relational patient data and big data analytics to tailor the medication recommendations. However, most of the health care data are in unstructured form and it consumes a lot of time and effort to pull them into relational form. This study proposes a novel data lake architecture to reduce the data ingestion time and improve the precision of healthcare analytics. It also removes the data silos and enhances the analytics by allowing the connectiv...

Determinants of Shift Work impacting Job Satisfaction: A study on Service Sector Organizations in Pakistan

Directory of Open Access Journals (Sweden)

Wasim Abbas Awan

2013-10-01

Full Text Available This study aims to investigate the impact of determinants of shift work on job satisfaction in service sector organizations of Pakistan. History reveals that the invention of Thomas Edison brought the change in working environment and industrial revolution results in the birth of shift works. A great number of theories in Management are there to define Job satisfaction. All of them show the relationship between ability to perform and the productivity. In order to investigate their impact descriptive study is taken in to account in which survey research method is used to collect data. On the basis of quantitative analysis this study reveals that determinants of shift work has positive impact on job satisfaction. Finally recommendations are made to increase shift work in service sector organizations of Pakistan so that people may upraise their standards of living.

Enabling big geoscience data analytics with a cloud-based, MapReduce-enabled and service-oriented workflow framework.

Directory of Open Access Journals (Sweden)

Zhenlong Li

Full Text Available Geoscience observations and model simulations are generating vast amounts of multi-dimensional data. Effectively analyzing these data are essential for geoscience studies. However, the tasks are challenging for geoscientists because processing the massive amount of data is both computing and data intensive in that data analytics requires complex procedures and multiple tools. To tackle these challenges, a scientific workflow framework is proposed for big geoscience data analytics. In this framework techniques are proposed by leveraging cloud computing, MapReduce, and Service Oriented Architecture (SOA. Specifically, HBase is adopted for storing and managing big geoscience data across distributed computers. MapReduce-based algorithm framework is developed to support parallel processing of geoscience data. And service-oriented workflow architecture is built for supporting on-demand complex data analytics in the cloud environment. A proof-of-concept prototype tests the performance of the framework. Results show that this innovative framework significantly improves the efficiency of big geoscience data analytics by reducing the data processing time as well as simplifying data analytical procedures for geoscientists.

Enabling big geoscience data analytics with a cloud-based, MapReduce-enabled and service-oriented workflow framework.

Science.gov (United States)

Li, Zhenlong; Yang, Chaowei; Jin, Baoxuan; Yu, Manzhu; Liu, Kai; Sun, Min; Zhan, Matthew

2015-01-01

Geoscience observations and model simulations are generating vast amounts of multi-dimensional data. Effectively analyzing these data are essential for geoscience studies. However, the tasks are challenging for geoscientists because processing the massive amount of data is both computing and data intensive in that data analytics requires complex procedures and multiple tools. To tackle these challenges, a scientific workflow framework is proposed for big geoscience data analytics. In this framework techniques are proposed by leveraging cloud computing, MapReduce, and Service Oriented Architecture (SOA). Specifically, HBase is adopted for storing and managing big geoscience data across distributed computers. MapReduce-based algorithm framework is developed to support parallel processing of geoscience data. And service-oriented workflow architecture is built for supporting on-demand complex data analytics in the cloud environment. A proof-of-concept prototype tests the performance of the framework. Results show that this innovative framework significantly improves the efficiency of big geoscience data analytics by reducing the data processing time as well as simplifying data analytical procedures for geoscientists.

Enabling Big Geoscience Data Analytics with a Cloud-Based, MapReduce-Enabled and Service-Oriented Workflow Framework

Science.gov (United States)

Li, Zhenlong; Yang, Chaowei; Jin, Baoxuan; Yu, Manzhu; Liu, Kai; Sun, Min; Zhan, Matthew

2015-01-01

Geoscience observations and model simulations are generating vast amounts of multi-dimensional data. Effectively analyzing these data are essential for geoscience studies. However, the tasks are challenging for geoscientists because processing the massive amount of data is both computing and data intensive in that data analytics requires complex procedures and multiple tools. To tackle these challenges, a scientific workflow framework is proposed for big geoscience data analytics. In this framework techniques are proposed by leveraging cloud computing, MapReduce, and Service Oriented Architecture (SOA). Specifically, HBase is adopted for storing and managing big geoscience data across distributed computers. MapReduce-based algorithm framework is developed to support parallel processing of geoscience data. And service-oriented workflow architecture is built for supporting on-demand complex data analytics in the cloud environment. A proof-of-concept prototype tests the performance of the framework. Results show that this innovative framework significantly improves the efficiency of big geoscience data analytics by reducing the data processing time as well as simplifying data analytical procedures for geoscientists. PMID:25742012

An Investigation of Social Factors Affecting on Personnel Job Satisfaction of Remedial Service Insurance Department

Directory of Open Access Journals (Sweden)

Sayyed Yaser Ebrahimian Jolodar

2012-01-01

Full Text Available Because of the paramount importance of job satisfaction and due to its main consequences such as reduction of work absence and resignation, personnel promotion and society‟s health, and more importantly, its role in achievement of organization goals, this study aimed at investigating the effects of six social factors including personnel‟s belief, salary and benefits, participation in organizational decision-making, sense of job security, interaction with colleagues and meeting the basic needs of personnel on job satisfaction. The statistical population of this study was the personnel of Remedial Service Insurance Department in Sari and the questionnaire was distributed among them. The results showed that there is a significant and positive correlation among all these factors and they have meaningful effects on personnel job satisfaction based on multiple regression analysis. Furthermore, findings revealed that personnel‟s belief about their job has the most effects on job satisfaction.

Linking Emotional Labor, Public Service Motivation, and Job Satisfaction: Social Workers in Health Care Settings.

Science.gov (United States)

Roh, Chul-Young; Moon, M Jae; Yang, Seung-Bum; Jung, Kwangho

2016-01-01

This study examines the determinants of emotional laborers'--social workers in health care organizations--job satisfaction and their public service motivation in using a structural equation model and provides empirical evidence regarding what contributes to job satisfaction or burnout in these workers. Among several latent variables, this study confirmed that false face significantly decreases the job satisfaction of social worker and is positively associated with burnout. In addition, commitment to public interest increases social workers' job satisfaction significantly. This study has implications for the management of emotional labor. By educating emotional laborers to reappraise situations to increase their job satisfaction and avoid burnout, reappraisal training and education are expected to result in increases in positive emotions and decreases in negative emotions, and to improve employees' performance in their organizations.

Job Stressors, Emotional Exhaustion and Service Recovery in Independent Quick Service Restaurants in Egypt: An Empirical Investigation

Directory of Open Access Journals (Sweden)

Mohammed ESSAWY

2016-06-01

Full Text Available In this study, antecedents and outcomes of the frontline employees' emotional exhaustion were examined in the context of independent Egyptian Quick Service Restaurants (QSRs. Frontline employees participated in a survey which investigates the relationships amongst job stressors (role ambiguity, role conflict, role overload and interpersonal conflict and emotional exhaustion; as well as emotional exhaustion and service recovery performance. The results from multiple regression analyses identified role ambiguity and role overload as the antecedents of emotional exhaustion. A critical negative relationship was also identified between emotional exhaustion and the service recovery performance of frontline employees.

76 FR 7810 - Big Horn County Resource Advisory Committee

Science.gov (United States)

2011-02-11

..., Wyoming 82801. Comments may also be sent via e-mail to [email protected] , with the words Big... DEPARTMENT OF AGRICULTURE Forest Service Big Horn County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Big Horn County Resource Advisory Committee...

Does Personality Have a Different Impact on Self-Rated Distraction, Job Satisfaction, and Job Performance in Different Office Types?

OpenAIRE

Seddigh, Aram; Berntson, Erik; Platts, Loretta G.; Westerlund, Hugo

2016-01-01

This study investigates the joint effect of office type (cell, shared room, open-plan, and flex) and personality, measured by the Big Five personality traits, on self-rated measures of distraction, job satisfaction, and job performance (measured by professional efficacy). Regression analyses with interactions between personality and office type were conducted on 1205 participants working in 5 organizations from both the private and public sectors. While few interactions were observed in the c...

75 FR 71069 - Big Horn County Resource Advisory Committee

Science.gov (United States)

2010-11-22

....us , with the words Big Horn County RAC in the subject line. Facsimilies may be sent to 307-674-2668... DEPARTMENT OF AGRICULTURE Forest Service Big Horn County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Big Horn County Resource Advisory Committee...

76 FR 26240 - Big Horn County Resource Advisory Committee

Science.gov (United States)

2011-05-06

... words Big Horn County RAC in the subject line. Facsimilies may be sent to 307-674-2668. All comments... DEPARTMENT OF AGRICULTURE Forest Service Big Horn County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Big Horn County Resource Advisory Committee...

Jobs API

Data.gov (United States)

General Services Administration — This Jobs API returns job openings across the federal government and includes all current openings posted on USAJobs.gov that are open to the public and located in...

77 FR 27245 - Big Stone National Wildlife Refuge, Big Stone and Lac Qui Parle Counties, MN

Science.gov (United States)

2012-05-09

... DEPARTMENT OF THE INTERIOR Fish and Wildlife Service [FWS-R3-R-2012-N069; FXRS1265030000S3-123-FF03R06000] Big Stone National Wildlife Refuge, Big Stone and Lac Qui Parle Counties, MN AGENCY: Fish and... plan (CCP) and environmental assessment (EA) for Big Stone National Wildlife Refuge (Refuge, NWR) for...

Delivering good service: personal resources, job satisfaction and nurses' 'customer' (patient) orientation.

Science.gov (United States)

Gountas, Sandra; Gountas, John; Soutar, Geoffrey; Mavondo, Felix

2014-07-01

To explore the complex relationships between nurses' personal resources, job satisfaction and 'customer' (patient) orientation. Previous research has shown that nursing is highly intensive, emotionally charged work, which affects nurses' job performance and their customer orientation as well as patient or 'customer' satisfaction. This study contributes to the literature by examining how nurses' personal resources relate to their personal satisfaction and customer orientation and the relationships between them. Specifically, this study explores the effects of two facets of emotional labour (deep acting and surface acting), empathic concern, self-efficacy and emotional exhaustion on personal job satisfaction and customer orientation. We also test the moderating effects of inauthenticity and emotional contagion. A quantitative survey. Data were collected through a self-completion questionnaire administered to a sample of 159 Australian nurses, in a public teaching hospital, in 2010. The data were analysed using Partial Least Square analysis. Partial Least Square analysis indicates that the final model is a good fit to the data (Goodness of Fit = 0.51). Deep acting and surface acting have different effects (positive and negative) on job satisfaction and 'customer' orientation, self-efficacy has a positive effect on both and emotional exhaustion has a positive effect on customer orientation and a negative effect on job satisfaction. The moderating effects of emotional contagion and empathic concern, in the final model, are discussed. Understanding the complex interactions between personal resources, job satisfaction and customer orientation helps to increase service providers' (nurses in this study) personal satisfaction and 'customer' orientation particularly in difficult contexts. © 2013 John Wiley & Sons Ltd.

A comparison of job descriptions for nurse practitioners working in out-of-hours primary care services: implications for workforce planning, patients and nursing.

Science.gov (United States)

Teare, Jean; Horne, Maria; Clements, Gill; Mohammed, Mohammed A

2017-03-01

To compare and contrast job descriptions for nursing roles in out-of-hours services to obtain a general understanding of what is required for a nurse working in this job. Out-of-hours services provide nursing services to patients either through telephone or face-to-face contact in care centres. Many of these services are newly created giving job opportunities to nurses working in this area. It is vital that nurses know what their role entails but also that patients and other professionals know how out-of-hours nurses function in terms of competence and clinical role. Content analysis of out-of-hours job descriptions. Content analysis of a convenience sample of 16 job descriptions of out-of-hours nurses from five out-of-hours care providers across England was undertaken. The findings were narratively synthesised, supported by tabulation. Key role descriptors were examined in terms of job titles, managerial skills, clinical skills, professional qualifications and previous experience. Content analysis of each out-of-hours job description revealed a lack of consensus in clinical competence and skills required related to job title although there were many similarities in skills across all the roles. This study highlights key differences and some similarities between roles and job titles in out-of-hours nursing but requires a larger study to inform workforce planning. Out-of-hours nursing is a developing area of practice which requires clarity to ensure patient safety and quality care. © 2016 John Wiley & Sons Ltd.

Relationships between personality, emotional labor, work engagement and job satisfaction in service professions.

Science.gov (United States)

Mróz, Justyna; Kaleta, Kinga

2016-01-01

Although there have been studies linking personality to selected aspects of functioning at work, Polish literature reports a shortage of detailed analyses considering, e.g., specific professional groups or certain variables. The aim of our study was to explore the links between personality traits and emotional labor, work engagement and job satisfaction among service workers. The study was based on a cross-sectional, self-report survey of 137 workers representing different service industries in Poland. Each participant received a demographic data sheet and a set of questionnaires: NEO Five-Factor Inventory, the Deep Acting and Surface Acting Scale, the Job Satisfaction Scale and the Utrecht Work Engagement Scale - all in their Polish versions. A correlation analysis revealed numerous relationships between the examined variables. However, results of the regression analysis showed that only some personality traits were related with individual aspects of functioning at work. Neuroticism accounted for the phenomenon of faking emotions. Conscientiousness was significantly related to general work engagement, vigor and dedication. Agreeableness and neuroticism significantly predicted job satisfaction. Individual personality traits account for various aspects of work functioning. Int J Occup Med Environ Health 2016;29(5):767-782. This work is available in Open Access model and licensed under a CC BY-NC 3.0 PL license.

Relationships between personality, emotional labor, work engagement and job satisfaction in service professions

Directory of Open Access Journals (Sweden)

Justyna Mróz

2016-10-01

Full Text Available Objectives: Although there have been studies linking personality to selected aspects of functioning at work, Polish literature reports a shortage of detailed analyses considering, e.g., specific professional groups or certain variables. The aim of our study was to explore the links between personality traits and emotional labor, work engagement and job satisfaction among service workers. Material and Methods: The study was based on a cross-sectional, self-report survey of 137 workers representing different service industries in Poland. Each participant received a demographic data sheet and a set of questionnaires: NEO Five-Factor Inventory, the Deep Acting and Surface Acting Scale, the Job Satisfaction Scale and the Utrecht Work Engagement Scale – all in their Polish versions. Results: A correlation analysis revealed numerous relationships between the examined variables. However, results of the regression analysis showed that only some personality traits were related with individual aspects of functioning at work. Neuroticism accounted for the phenomenon of faking emotions. Conscientiousness was significantly related to general work engagement, vigor and dedication. Agreeableness and neuroticism significantly predicted job satisfaction. Conclusions: Individual personality traits account for various aspects of work functioning. Int J Occup Med Environ Health 2016;29(5:767–782

The impact of intermediate care services on job satisfaction, skills and career development opportunities.

Science.gov (United States)

Nancarrow, Susan

2007-07-01

The purpose of this study was to examine, in depth, the impact of intermediate care services on staff job satisfaction, skills development and career development opportunities. Recruitment and retention difficulties present a major barrier to the effective delivery of intermediate care services in the UK. The limited existing literature is contradictory, but points to the possibility of staff deskilling and suggests that intermediate care is poorly understood and may be seen by other practitioners as being of lower status than hospital work. These factors have the potential to reduce staff morale and limit the possibilities of recruiting staff. The research is based on interviews with 26 staff from case studies of two intermediate care services in South Yorkshire. Participants reported high levels of job satisfaction, which was because of the enabling philosophy of care, increased autonomy, the setting of care and the actual teams within which the workers were employed. For most disciplines, intermediate care facilitated the application of existing skills in a different way; enhancing some skills, while restricting the use of others. Barriers to career development opportunities were attributed to the relative recency of intermediate care services, small size of the services and lack of clear career structures. Career development opportunities in intermediate care could be improved through staff rotations through acute, community and intermediate care to increase their awareness of the roles of intermediate care staff. The non-hierarchical management structures limits management career development opportunities, instead, there is a need to enhance professional growth opportunities through the use of consultant posts and specialization within intermediate care. This study provides insight into the impact of an increasingly popular model of care on the roles and job satisfaction of workers and highlights the importance of this learning for recruitment and retention of

Equality and diversity in jobs and services: City policies for migrants in Europe

NARCIS (Netherlands)

Spencer, S.; Martiniello, M.; Gsir, S.; Perrin, N.; Cangiano, A.; Shutes, I.; Torre, A.; Wirth Forsberg, K.; Heckmann, F.; Bosswick, W.; Lüken-Klaßen, D.; Penninx, R.; van Heelsum, A.; Fassmann, H.; Görgl, P.; Kohlbacher, J.

2008-01-01

European cities are faced with the ongoing challenge of integrating people from very different backgrounds. Access to jobs is recognised as a key dimension of this process, as is the provision of services that migrants can access fully and effectively, without discrimination. This report, published

Database Resources of the BIG Data Center in 2018.

Science.gov (United States)

2018-01-04

The BIG Data Center at Beijing Institute of Genomics (BIG) of the Chinese Academy of Sciences provides freely open access to a suite of database resources in support of worldwide research activities in both academia and industry. With the vast amounts of omics data generated at ever-greater scales and rates, the BIG Data Center is continually expanding, updating and enriching its core database resources through big-data integration and value-added curation, including BioCode (a repository archiving bioinformatics tool codes), BioProject (a biological project library), BioSample (a biological sample library), Genome Sequence Archive (GSA, a data repository for archiving raw sequence reads), Genome Warehouse (GWH, a centralized resource housing genome-scale data), Genome Variation Map (GVM, a public repository of genome variations), Gene Expression Nebulas (GEN, a database of gene expression profiles based on RNA-Seq data), Methylation Bank (MethBank, an integrated databank of DNA methylomes), and Science Wikis (a series of biological knowledge wikis for community annotations). In addition, three featured web services are provided, viz., BIG Search (search as a service; a scalable inter-domain text search engine), BIG SSO (single sign-on as a service; a user access control system to gain access to multiple independent systems with a single ID and password) and Gsub (submission as a service; a unified submission service for all relevant resources). All of these resources are publicly accessible through the home page of the BIG Data Center at http://bigd.big.ac.cn. © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.

78 FR 3911 - Big Stone National Wildlife Refuge, Big Stone and Lac Qui Parle Counties, MN; Final Comprehensive...

Science.gov (United States)

2013-01-17

... DEPARTMENT OF THE INTERIOR Fish and Wildlife Service [FWS-R3-R-2012-N259; FXRS1265030000-134-FF03R06000] Big Stone National Wildlife Refuge, Big Stone and Lac Qui Parle Counties, MN; Final Comprehensive... significant impact (FONSI) for the environmental assessment (EA) for Big Stone National Wildlife Refuge...

Advancements in Big Data Processing

CERN Document Server

Vaniachine, A; The ATLAS collaboration

2012-01-01

The ever-increasing volumes of scientific data present new challenges for Distributed Computing and Grid-technologies. The emerging Big Data revolution drives new discoveries in scientific fields including nanotechnology, astrophysics, high-energy physics, biology and medicine. New initiatives are transforming data-driven scientific fields by pushing Bid Data limits enabling massive data analysis in new ways. In petascale data processing scientists deal with datasets, not individual files. As a result, a task (comprised of many jobs) became a unit of petascale data processing on the Grid. Splitting of a large data processing task into jobs enabled fine-granularity checkpointing analogous to the splitting of a large file into smaller TCP/IP packets during data transfers. Transferring large data in small packets achieves reliability through automatic re-sending of the dropped TCP/IP packets. Similarly, transient job failures on the Grid can be recovered by automatic re-tries to achieve reliable Six Sigma produc...

Job coach factors associated with community-based employment service programme outcome measures for people with disabilities--a Taiwan case study.

Science.gov (United States)

Yun-Tung, Wang

2010-01-01

The aim of this study is to explore whether/which job coach factors were significantly associated with the community-based employment service (CBES) programme outcome measures in Taiwan. This study used the 2003-2005 CBES programme for People with Disabilities Database in Taipei City in Taiwan (n = 3924) to do a secondary data analysis using hierarchical multiple linear regression. This study found that 'occurrences of the services provided by the job coaches' variable was definitely the dominant predictor and explained additional 19.6% and 27.8% of the variances of annual salary and annual working month outcome measures, respectively. In addition, among six composition variables of 'occurrences of the services provided by the job coaches', 'occurrences of follow-up guidance', 'occurrences of intensive guidance', and 'occurrences of consultation before interviews with employer/director of human resources' were more powerful than the other three in predicting outcomes. Job coach factors in this study were significantly correlated with CBES programme outcome measures for people with disabilities in Taiwan after controlling for the socio-demographic variables. It indicates that the more inputs in the people with disabilities made by job coaches equates to better outcomes in this Taiwan case study.

The big data-big model (BDBM) challenges in ecological research

Science.gov (United States)

Luo, Y.

2015-12-01

The field of ecology has become a big-data science in the past decades due to development of new sensors used in numerous studies in the ecological community. Many sensor networks have been established to collect data. For example, satellites, such as Terra and OCO-2 among others, have collected data relevant on global carbon cycle. Thousands of field manipulative experiments have been conducted to examine feedback of terrestrial carbon cycle to global changes. Networks of observations, such as FLUXNET, have measured land processes. In particular, the implementation of the National Ecological Observatory Network (NEON), which is designed to network different kinds of sensors at many locations over the nation, will generate large volumes of ecological data every day. The raw data from sensors from those networks offer an unprecedented opportunity for accelerating advances in our knowledge of ecological processes, educating teachers and students, supporting decision-making, testing ecological theory, and forecasting changes in ecosystem services. Currently, ecologists do not have the infrastructure in place to synthesize massive yet heterogeneous data into resources for decision support. It is urgent to develop an ecological forecasting system that can make the best use of multiple sources of data to assess long-term biosphere change and anticipate future states of ecosystem services at regional and continental scales. Forecasting relies on big models that describe major processes that underlie complex system dynamics. Ecological system models, despite great simplification of the real systems, are still complex in order to address real-world problems. For example, Community Land Model (CLM) incorporates thousands of processes related to energy balance, hydrology, and biogeochemistry. Integration of massive data from multiple big data sources with complex models has to tackle Big Data-Big Model (BDBM) challenges. Those challenges include interoperability of multiple

Job Analysis, Job Descriptions, and Performance Appraisal Systems.

Science.gov (United States)

Sims, Johnnie M.; Foxley, Cecelia H.

1980-01-01

Job analysis, job descriptions, and performance appraisal can benefit student services administration in many ways. Involving staff members in the development and implementation of these techniques can increase commitment to and understanding of the overall objectives of the office, as well as communication and cooperation among colleagues.…

Big data analysis framework for healthcare and social sectors in Korea.

Science.gov (United States)

Song, Tae-Min; Ryu, Seewon

2015-01-01

We reviewed applications of big data analysis of healthcare and social services in developed countries, and subsequently devised a framework for such an analysis in Korea. We reviewed the status of implementing big data analysis of health care and social services in developed countries, and strategies used by the Ministry of Health and Welfare of Korea (Government 3.0). We formulated a conceptual framework of big data in the healthcare and social service sectors at the national level. As a specific case, we designed a process and method of social big data analysis on suicide buzz. Developed countries (e.g., the United States, the UK, Singapore, Australia, and even OECD and EU) are emphasizing the potential of big data, and using it as a tool to solve their long-standing problems. Big data strategies for the healthcare and social service sectors were formulated based on an ICT-based policy of current government and the strategic goals of the Ministry of Health and Welfare. We suggest a framework of big data analysis in the healthcare and welfare service sectors separately and assigned them tentative names: 'health risk analysis center' and 'integrated social welfare service network'. A framework of social big data analysis is presented by applying it to the prevention and proactive detection of suicide in Korea. There are some concerns with the utilization of big data in the healthcare and social welfare sectors. Thus, research on these issues must be conducted so that sophisticated and practical solutions can be reached.

76 FR 47141 - Big Horn County Resource Advisory Committee

Science.gov (United States)

2011-08-04

....us , with the words Big Horn County RAC in the subject line. Facsimilies may be sent to 307-674-2668... DEPARTMENT OF AGRICULTURE Forest Service Big Horn County Resource Advisory Committee AGENCY: Forest Service, USDA. [[Page 47142

Motivating medical information system performance by system quality, service quality, and job satisfaction for evidence-based practice

Science.gov (United States)

2012-01-01

Background No previous studies have addressed the integrated relationships among system quality, service quality, job satisfaction, and system performance; this study attempts to bridge such a gap with evidence-based practice study. Methods The convenience sampling method was applied to the information system users of three hospitals in southern Taiwan. A total of 500 copies of questionnaires were distributed, and 283 returned copies were valid, suggesting a valid response rate of 56.6%. SPSS 17.0 and AMOS 17.0 (structural equation modeling) statistical software packages were used for data analysis and processing. Results The findings are as follows: System quality has a positive influence on service quality (γ11= 0.55), job satisfaction (γ21= 0.32), and system performance (γ31= 0.47). Service quality (β31= 0.38) and job satisfaction (β32= 0.46) will positively influence system performance. Conclusions It is thus recommended that the information office of hospitals and developers take enhancement of service quality and user satisfaction into consideration in addition to placing b on system quality and information quality when designing, developing, or purchasing an information system, in order to improve benefits and gain more achievements generated by hospital information systems. PMID:23171394

Job coding (PCS 2003): feedback from a study conducted in an Occupational Health Service

Science.gov (United States)

Henrotin, Jean-Bernard; Vaissière, Monique; Etaix, Maryline; Malard, Stéphane; Dziurla, Mathieu; Lafon, Dominique

2016-10-19

Aim: To examine the quality of manual job coding carried out by occupational health teams with access to a software application that provides assistance in job and business sector coding (CAPS). Methods: Data from a study conducted in an Occupational Health Service were used to examine the first-level coding of 1,495 jobs by occupational health teams according to the French job classification entitled “PSC- Professions and socio-professional categories” (INSEE, 2003 version). A second level of coding was also performed by an experienced coder and the first and second level codes were compared. Agreement between the two coding systems was studied using the kappa coefficient (κ) and frequencies were compared by Chi2 tests. Results: Missing data or incorrect codes were observed for 14.5% of social groups (1 digit) and 25.7% of job codes (4 digits). While agreement between the first two levels of PCS 2003 appeared to be satisfactory (κ=0.73 and κ=0.75), imbalances in reassignment flows were effectively noted. The divergent job code rate was 48.2%. Variation in the frequency of socio-occupational variables was as high as 8.6% after correcting for missing data and divergent codes. Conclusions: Compared with other studies, the use of the CAPS tool appeared to provide effective coding assistance. However, our results indicate that job coding based on PSC 2003 should be conducted using ancillary data by personnel trained in the use of this tool.

Retention of women accountants: The interaction of job demands and job resources

Directory of Open Access Journals (Sweden)

Stella Ribeiro

2016-05-01

Full Text Available Orientation: Most CEOs in South Africa are chartered accountants (CAs. Retaining women CAs might therefore lead to an increase in women in leadership. The Job Demands-Resources model presents a framework to investigate organisational job-related factors that promote or deter voluntary turnover of women CAs. Research purpose: The primary objective was to investigate which organisational factors promote or reduce the risk of turnover intentions for South African women CAs. The secondary objective was to investigate the moderating potential of job resources on the relationship between job demands and turnover intentions. Motivation for the study: There is a fair amount of research on the problems associated with the retention of women CAs in public practice but very little is known about how those problems interact with each other, and whether there are factors that could buffer them. Research design, approach, and method: The study consisted of a sample (n = 851 of women CAs in public practice firms nationally in South Africa. We used structural equation modelling together with moderated regression analysis. Main findings: Job demands promote turnover intentions, whereas job resources have a negative effect on turnover intentions. Counter-intuitively a negative direct effect was found between job insecurity and turnover intentions. Statistical support was found for the moderating role of all job resources, except financial advancement, on the relationship between work–family conflict and turnover intentions; and growth opportunities, on the relationship between job insecurity and turnover intentions. Practical/managerial implications: No job resource measured could buffer the impact of job overload on turnover intentions. Contribution: This is the first study to investigate factors that may retain women CAs in public practice audit, tax, and advisory firms (Big Four Accountancy Firms using the JD-R model. Few studies have investigated the

Perceived job insecurity, unemployment risk and international trade: A micro-level analysis of employees in German service industries

OpenAIRE

Lurweg, Maren

2010-01-01

The present paper investigates the impact of international trade on individual labour market outcomes in the German service sector for the period 1995-2006. Combiningmicro-level data from the German Socio-Economic Panel (SOEP) and industry-level trade data from input-output tables, we examine the impacts of international trade on (1) the individually reported fear of job loss and (2) job-to-unemployment transitions. We therefore apply both a "subjective" and a more "objective" measure of job ...

5 CFR 532.225 - Nonappropriated fund survey jobs.

Science.gov (United States)

2010-01-01

... agency shall survey the following required jobs: Job title Job grade Janitor (Light) 1 Food Service Worker 1 Food Service Worker 2 Fast Food Worker 2 Janitor 2 Laborer (Light) 2 Laborer (Heavy) 3 Service... Warehouseman 5 Service Station Attendant 5 Truck Driver (Light) 5 Truck Driver (Medium) 6 Truck Driver (Heavy...

20 CFR 653.102 - Job information.

Science.gov (United States)

2010-04-01

... 20 Employees' Benefits 3 2010-04-01 2010-04-01 false Job information. 653.102 Section 653.102... SERVICE SYSTEM Services for Migrant and Seasonal Farmworkers (MSFWs) § 653.102 Job information. All State agencies shall make job order information conspicuous and available to MSFWs in all local offices. This...

Determinants of Shift Work impacting Job Satisfaction: A study on Service Sector Organizations in Pakistan

OpenAIRE

Wasim Abbas Awan

2013-01-01

This study aims to investigate the impact of determinants of shift work on job satisfaction in service sector organizations of Pakistan. History reveals that the invention of Thomas Edison brought the change in working environment and industrial revolution results in the birth of shift works. A great number of theories in Management are there to define Job satisfaction. All of them show the relationship between ability to perform and the productivity. In order to investigate their impact d...

Implications of Work Values to Job Satisfaction in the Maryland Cooperative Extension Service.

Science.gov (United States)

Milliken, W. James; Whaples, Gene C.

A study was done to determine if work values of the Maryland Cooperative Extension Service faculty were related to Herzberg's job satisfaction elements. The design was ex post facto, exploratory field research. Subjects included 273 extension faculty members. A mail questionnaire composed of Hughes and Flowers'"Values for Working" and an…

JAliEn - A new interface between the AliEn jobs and the central services

CERN Document Server

Grigoras, A G; Pedreira, M M; Saiz, P; Schreiner, S

2014-01-01

Since the ALICE experiment began data taking in early 2010, the amount of end user jobs on the AliEn Grid has increased signif icantly. Presently 1/3 of the 40K CPU cores available to ALICE are occupied by jobs submitted by about 400 distinct users, individually or in organized analysis trains. The overall stability of the AliEn middleware has been excellent throughout the 3 years of running, but the massive amount of end-user analysis and its specific requirements and load has revealed few components which can be improved. One of them is the interface between users and central AliEn services (catalogue, job submission system) which we are currently re-implementing in Java . The interface provides persistent connection with enhanced data and job submission authenticity. In this paper we will describe the architecture of the new interface, the ROOT binding which enables the use of a single interface in addition to the standard UN IX-like access shell and the new security-related features.

Change of government: one more big bang health care reform in England's National Health Service.

Science.gov (United States)

Hunter, David J

2011-01-01

Once again the National Health Service (NHS) in England is undergoing major reform, following the election of a new coalition government keen to reduce the role of the state and cut back on big government. The NHS has been undergoing continuous reform since the 1980s. Yet, despite the significant transaction costs incurred, there is no evidence that the claimed benefits have been achieved. Many of the same problems endure. The reforms follow the direction of change laid down by the last Conservative government in the early 1990s, which the recent Labour government did not overturn despite a commitment to do so. Indeed, under Labour, the NHS was subjected to further market-style changes that have paved the way for the latest round of reform. The article considers the appeal of big bang reform, questions its purpose and value, and critically appraises the nature and extent of the proposed changes in this latest round of reform. It warns that the NHS in its current form may not survive the changes, as they open the way to privatization and a weakening of its public service ethos.

Young Generation Network appearance on the job opportunity fair

International Nuclear Information System (INIS)

Kovac, Marko; Zagar, Tomaz; Giacomelli, M.; Bergant, R.; Lengar, Igor; Knez, Simona

2002-01-01

We describe the way in which we have appeared on a job-fair, organised for the connection between employers and students. We have offered jobs in the nuclear branch and by gaining the interest of the participants (mainly students) were able to popularise nuclear energy. In this way we dealt with two big problems: the lack of new young professionals in the field and the public opinion, not generally in favour of the use of nuclear energy. (author)

Young Generation Network appearance on the job opportunity fair

Energy Technology Data Exchange (ETDEWEB)

Kovac, Marko; Zagar, Tomaz; Giacomelli, M; Bergant, R; Lengar, Igor [Institut ' Jozef Stefan' , Jamova 39, 1001 Ljubljana (Slovenia); Knez, Simona [Agencija za radioaktivne odpadke, Parmova 53, 1113 Ljubljana (Slovenia)

2002-07-01

We describe the way in which we have appeared on a job-fair, organised for the connection between employers and students. We have offered jobs in the nuclear branch and by gaining the interest of the participants (mainly students) were able to popularise nuclear energy. In this way we dealt with two big problems: the lack of new young professionals in the field and the public opinion, not generally in favour of the use of nuclear energy. (author)

Identifying Challenging Job and Environmental Demands of Older Nurses Within the National Health Service.

Science.gov (United States)

Durosaiye, Isaiah Oluremi; Hadjri, Karim; Liyanage, Champika Lasanthi

2016-04-01

To explore the existing theoretical contexts of the job and environmental demands of the nursing profession in the National Health Service (NHS) and to investigate how these job and environmental demands impact on the personal constructs of older nurses within the NHS. Nursing is the single most widely practiced profession in the healthcare sector in the United Kingdom. However, nurses contend with challenging job and environmental demands on a daily basis, which deplete them of personal constructs (or resources) required to stay in the profession. A multilevel exploratory qualitative research design was employed. Ten managers were interviewed for the preliminary study, based on which the three characteristics of an age-friendly NHS workplace were established: health, retirement, and flexibility. Then an in-depth literature review revealed that the most adversely affected job within the NHS was the nursing profession. Finally, a focus group study was undertaken with six older nurses working in the NHS. The most compelling finding of this study is that older nurses would generally not want to stay on the job if they had to work in the ward area. The physical, cognitive, and sensory constructs of older nurses are negatively affected by the job and environmental demands of the ward areas. Understanding how these job and environmental demands of the workplace affect an older nurse's personal constructs may help support a better design of nurse work and the wards and help extend the working lives of older nurses in the NHS. © The Author(s) 2015.

JAliEn – A new interface between the AliEn jobs and the central services

International Nuclear Information System (INIS)

Grigoras, A G; Grigoras, C; Pedreira, M M; Saiz, P; Schreiner, S

2014-01-01

Since the ALICE experiment began data taking in early 2010, the amount of end user jobs on the AliEn Grid has increased significantly. Presently 1/3 of the 40K CPU cores available to ALICE are occupied by jobs submitted by about 400 distinct users, individually or in organized analysis trains. The overall stability of the AliEn middleware has been excellent throughout the 3 years of running, but the massive amount of end-user analysis and its specific requirements and load has revealed few components which can be improved. One of them is the interface between users and central AliEn services (catalogue, job submission system) which we are currently re-implementing in Java. The interface provides persistent connection with enhanced data and job submission authenticity. In this paper we will describe the architecture of the new interface, the ROOT binding which enables the use of a single interface in addition to the standard UNIX-like access shell and the new security-related features

Job Demands, Job Resources, Burnout, Work Engagement, and Their Relationships: An Analysis Across Sectors.

Science.gov (United States)

Van den Broeck, Anja; Elst, Tinne Vander; Baillien, Elfi; Sercu, Maarten; Schouteden, Martijn; De Witte, Hans; Godderis, Lode

2017-04-01

The aim of this study was to gain insight in the importance of job demands and resources and the validity of the Job Demands Resources Model across sectors. We used one-way analyses of variance to examine mean differences, and multi-group Structural Equation Modeling analyses to test the strength of the relationships among job demands, resources, burnout, and work engagement across the health care, industry, service, and public sector. The four sectors differed in the experience of job demands, resources, burnout, and work engagement, but they did not vary in how (strongly) job demands and resources associated with burnout and work engagement. More attention is needed to decrease burnout and increase work engagement, particularly in industry, service, and the public sector. The Job Demands-Resources model may be helpful in this regard, as it is valid across sectors.

Management commitment to service quality, job embeddedness, and performance outcomes: A study of hotel employees in Romania

OpenAIRE

Cojocaru, Georgiana

2011-01-01

ABSTRACT: The purpose of this thesis is to develop and test a conceptual model that examines the relationships among management commitment to service quality, job embeddedness, and performance outcomes. Training, empowerment, and rewards are the indicators of management commitment to service quality. Service recovery performance and extra-role customer service are the performance variables. The aforementioned relationships were tested via data obtained from employees in the four- and f...

A personality trait-based interactionist model of job performance.

Science.gov (United States)

Tett, Robert P; Burnett, Dawn D

2003-06-01

Evidence for situational specificity of personality-job performance relations calls for better understanding of how personality is expressed as valued work behavior. On the basis of an interactionist principle of trait activation (R. P. Tett & H. A. Guterman, 2000), a model is proposed that distinguishes among 5 situational features relevant to trait expression (job demands, distracters, constraints, releasers, and facilitators), operating at task, social, and organizational levels. Trait-expressive work behavior is distinguished from (valued) job performance in clarifying the conditions favoring personality use in selection efforts. The model frames linkages between situational taxonomies (e.g., J. L. Holland's [1985] RIASEC model) and the Big Five and promotes useful discussion of critical issues, including situational specificity, personality-oriented job analysis, team building, and work motivation.

THE INFLUENCE OF EMPLOYEE JOB SATISFACTION AND SERVICE QUALITY ON PROFITABILITY IN PT. BANK JATIM: CUSTOMER SATISFACTION AS THE INTERVENING VARIABLE

Directory of Open Access Journals (Sweden)

Finanda Y.D.

2018-02-01

Full Text Available This research aimed to examine the influence of employee job satisfaction and service quality on profitability in PT. Bank Jatim, in which customer satisfaction was the intervening variable. According to literature review, the hypothesis of the research stated that employee job satisfaction and service quality influenced the profitability of the Bank and customer satisfaction as intervening variable proved to affect the relationship between independent variable and dependent variable. The data of the research were collected by using questionnaire from respondents that consisted of 92 permanent employees of PT. Bank Jatim in Gresik City. The technique of hypothesis testing was performed by using Multiple Regression Analysis (MRA and Path Analysis using SPSS 24 statistical application. The findings of the research indicated that employee job satisfaction and service quality have positive effect to profitability and customer satisfaction was shown as intervening variable. Specifically, this research found that employee satisfaction and service quality will improve the profitability of the company.

Job Flow Distribution and Ranked Jobs Scheduling in Grid Virtual Organizations

CERN Document Server

Toporkov, Victor; Tselishchev, Alexey; Yemelyanov, Dmitry; Potekhin, Petr

2015-01-01

In this work, we consider the problems of job flow distribution and ranked job framework forming within a model of cycle scheduling in Grid virtual organizations. The problem of job flow distribution is solved in terms of jobs and computing resource domains compatibility. A coefficient estimating such compatibility is introduced and studied experimentally. Two distribution strategies are suggested. Job framework forming is justified with such quality of service indicators as an average job execution time, a number of required scheduling cycles, and a number of job execution declines. Two methods for job selection and scheduling are proposed and compared: the first one is based on the knapsack problem solution, while the second one utilizes the mentioned compatibility coefficient. Along with these methods we present experimental results demonstrating the efficiency of proposed approaches and compare them with random job selection.

The effects of job satisfaction, employee commitment, workplace friendship and team culture on service recovery performance

OpenAIRE

Abednego Feehi Okoe; Henry Boateng; Tiniwah Deborah Mensah

2016-01-01

The existing literature has called for more studies to be conducted on how human resource activities affect service recovery performance. This study therefore ascertains the effects of Job Satisfaction, employee Commitment, Workplace Friendship and Team Culture on Service Recovery Performance. The survey research design was used in this study. The participants were frontline employees from the various service sectors in Ghana. The convenience sampling was used as the sampling technique. A tot...

Big Five Measurement via Q-Sort

Directory of Open Access Journals (Sweden)

Chris D. Fluckinger

2014-08-01

Full Text Available Socially desirable responding presents a difficult challenge in measuring personality. I tested whether a partially ipsative measure—a normatively scored Q-sort containing traditional Big Five items—would produce personality scores indicative of less socially desirable responding compared with Likert-based measures. Across both instructions to respond honestly and in the context of applying for a job, the Q-sort produced lower mean scores, lower intercorrelations between dimensions, and similar validity in predicting supervisor performance ratings to Likert. In addition, the Q-sort produced a more orthogonal structure (but not fully orthogonal when modeled at the latent level. These results indicate that the Q-sort method did constrain socially desirable responding. Researchers and practitioners should consider Big Five measurement via Q-sort for contexts in which high socially desirable responding is expected.

Computation of a near-optimal service policy for a single-server queue with homogeneous jobs

DEFF Research Database (Denmark)

Johansen, Søren Glud; Larsen, Christian

2001-01-01

We present an algorithm for computing a near-optimal service policy for a single-server queueing system when the service cost is a convex function of the service time. The policy has state-dependent service times, and it includes the options to remove jobs from the system and to let the server...... be off. The systems' semi-Markov decision model has infinite action sets for the positive states. We design a new tailor-made policy-iteration algorithm for computing a policy for which the long-run average cost is at most a positive tolerance above the minimum average cost. For any positive tolerance...

Computation of a near-optimal service policy for a single-server queue with homogeneous jobs

DEFF Research Database (Denmark)

Johansen, Søren Glud; Larsen, Christian

2000-01-01

We present an algorithm for computing a near optimal service policy for a single-server queueing system when the service cost is a convex function of the service time. The policy has state-dependent service times, and it includes the options to remove jobs from the system and to let the server...... be off. The system's semi-Markov decision model has infinite action sets for the positive states. We design a new tailor-made policy iteration algorithm for computing a policy for which the long-run average cost is at most a positive tolerance above the minimum average cost. For any positive tolerance...

Big data and software defined networks

CERN Document Server

Taheri, Javid

2018-01-01

Big Data Analytics and Software Defined Networking (SDN) are helping to drive the management of data usage of the extraordinary increase of computer processing power provided by Cloud Data Centres (CDCs). This new book investigates areas where Big-Data and SDN can help each other in delivering more efficient services.

Costs and benefits of employment transportation for low-wage workers: an assessment of job access public transportation services.

Science.gov (United States)

Thakuriah Vonu, Piyushimita; Persky, Joseph; Soot, Siim; Sriraj, P S

2013-04-01

This paper focuses on an evaluation of public transportation-based employment transportation (ET) services to transport low-wage workers to jobs in the US. We make an attempt to capture a more comprehensive range of intended and unintended outcomes of ET services than those traditionally considered in the case of public transportation services. Using primary data from 23 locations across the country, we present a framework to evaluate how transportation improvements, in interaction with labor markets, can affect users' short-run economic welfare, users' long-run human capital accumulation and non-users' short-run economic welfare. These services were partially funded by a specialized program - the Job Access and Reverse Commute (JARC) program - which was consolidated into larger transit funding programs by recent legislation. In the sites examined, we found that low wage users benefited from self-reported increased access to jobs, improvements in earnings potential, as well as from savings in transport cost and time. Simulations show the potential of users to accrue long-term worklife benefits. At the same time, users may have accrued changes in leisure time as a result of transitioning from unemployment to employment, and generated a range of societal impacts on three classes of non-users: the general tax-paying public, the general commuting public in the service operating area and other low-wage workers in local labor markets. Copyright © 2012 Elsevier Ltd. All rights reserved.

Employability of offshore service sector workers in the Philippines: opportunities for upward labour mobility or dead-end jobs?

NARCIS (Netherlands)

Beerepoot, N.; Hendriks, M.

2013-01-01

Critical concerns have been raised about the quality of employment in the offshore service sector in developing countries, suggesting that many activities have an inherent paradox of highly educated workers performing low-skilled jobs. Based on empirical data collected in the offshore service sector

Does Personality Have a Different Impact on Self-Rated Distraction, Job Satisfaction, and Job Performance in Different Office Types?

Directory of Open Access Journals (Sweden)

Aram Seddigh

Full Text Available This study investigates the joint effect of office type (cell, shared room, open-plan, and flex and personality, measured by the Big Five personality traits, on self-rated measures of distraction, job satisfaction, and job performance (measured by professional efficacy. Regression analyses with interactions between personality and office type were conducted on 1205 participants working in 5 organizations from both the private and public sectors. While few interactions were observed in the cases of professional efficacy and job satisfaction, several were observed between personality traits and office type on the level of distraction reported. Specifically, more emotionally stable participants reported lower distraction, particularly those working in flex offices. Both agreeableness and openness to experience were associated with higher levels of distraction among participants in open-plan compared to cell offices.

Does Personality Have a Different Impact on Self-Rated Distraction, Job Satisfaction, and Job Performance in Different Office Types?

Science.gov (United States)

Seddigh, Aram; Berntson, Erik; Platts, Loretta G; Westerlund, Hugo

2016-01-01

This study investigates the joint effect of office type (cell, shared room, open-plan, and flex) and personality, measured by the Big Five personality traits, on self-rated measures of distraction, job satisfaction, and job performance (measured by professional efficacy). Regression analyses with interactions between personality and office type were conducted on 1205 participants working in 5 organizations from both the private and public sectors. While few interactions were observed in the cases of professional efficacy and job satisfaction, several were observed between personality traits and office type on the level of distraction reported. Specifically, more emotionally stable participants reported lower distraction, particularly those working in flex offices. Both agreeableness and openness to experience were associated with higher levels of distraction among participants in open-plan compared to cell offices.

The real leadership lessons of Steve Jobs.

Science.gov (United States)

Isaacson, Walter

2012-04-01

The author, whose biography of Steve Jobs was an instant best seller after the Apple CEO's death in October 2011, sets out here to correct what he perceives as an undue fixation by many commentators on the rough edges of Jobs's personality. That personality was integral to his way of doing business, Isaacson writes, but the real lessons from Steve Jobs come from what he actually accomplished. He built the world's most valuable company, and along the way he helped to transform a number of industries: personal computing, animated movies, music, phones, tablet computing, retail stores, and digital publishing. In this essay Isaacson describes the 14 imperatives behind Jobs's approach: focus; simplify; take responsibility end to end; when behind, leapfrog; put products before profits; don't be a slave to focus groups; bend reality; impute; push for perfection; know both the big picture and the details; tolerate only "A" players; engage face-to-face; combine the humanities with the sciences; and "stay hungry, stay foolish."

A Survey of the Duties and Job Performance of Student Assistants in Access Services

Science.gov (United States)

Tolppanen, Bradley P.; Derr, Janice

2009-01-01

The results of a recently conducted Web-based survey of Access Services department supervisors are presented in this article. The survey, which was completed by 94 respondents, identified 19 core tasks completed by student assistants and further found a high overall approval of student assistant job performance. The information generated by the…

Improving Service Delivery: Investigating the Role of Information Sharing, Job Characteristics, and Employee Satisfaction

Science.gov (United States)

Bontis, Nick; Richards, David; Serenko, Alexander

2011-01-01

Purpose: The purpose of this study is to propose and test a model designed to investigate the impact of job characteristics, employee satisfaction, and information sharing on two key indicators of quality service delivery, such as worker perceptions of their efficiency and customer focus. Design/methodology/approach: During the project, 9,060…

Scaling Big Data Cleansing

KAUST Repository

Khayyat, Zuhair

2017-07-31

Data cleansing approaches have usually focused on detecting and fixing errors with little attention to big data scaling. This presents a serious impediment since identify- ing and repairing dirty data often involves processing huge input datasets, handling sophisticated error discovery approaches and managing huge arbitrary errors. With large datasets, error detection becomes overly expensive and complicated especially when considering user-defined functions. Furthermore, a distinctive algorithm is de- sired to optimize inequality joins in sophisticated error discovery rather than na ̈ıvely parallelizing them. Also, when repairing large errors, their skewed distribution may obstruct effective error repairs. In this dissertation, I present solutions to overcome the above three problems in scaling data cleansing. First, I present BigDansing as a general system to tackle efficiency, scalability, and ease-of-use issues in data cleansing for Big Data. It automatically parallelizes the user’s code on top of general-purpose distributed platforms. Its programming inter- face allows users to express data quality rules independently from the requirements of parallel and distributed environments. Without sacrificing their quality, BigDans- ing also enables parallel execution of serial repair algorithms by exploiting the graph representation of discovered errors. The experimental results show that BigDansing outperforms existing baselines up to more than two orders of magnitude. Although BigDansing scales cleansing jobs, it still lacks the ability to handle sophisticated error discovery requiring inequality joins. Therefore, I developed IEJoin as an algorithm for fast inequality joins. It is based on sorted arrays and space efficient bit-arrays to reduce the problem’s search space. By comparing IEJoin against well- known optimizations, I show that it is more scalable, and several orders of magnitude faster. BigDansing depends on vertex-centric graph systems, i.e., Pregel

Quality service delivery for the community, by the community: an innovative Eastern Cape infrastructure and job creation success

CSIR Research Space (South Africa)

Wall, K

2013-10-01

Full Text Available ; and service delivery; through O/&M activities that increase the availability and utility of infrastructure, and the quality and reliability of services. ... of Municipal Engineering of Southern Africa Annual (IMIESA) Conference, Port Elizabeth, October 2013 Quality service delivery for the community, by the community: an innovative Eastern Cape infrastructure and job creation success Wall K, Ive O, Bhagwan J...

Experimental evaluation of job provenance in ATLAS environment

International Nuclear Information System (INIS)

Krenek, A; Sitera, J; Chudoba, J; Dvorak, F; Filipovic, J; KmunIcek, J; Matyska, L; Mulas, M; Ruda, M; Sustr, Z; Campana, S; Molinari, E; Rebatto, D

2008-01-01

Grid middleware stacks, including gLite, matured into the state of being able to process up to millions of jobs per day. Logging and Bookkeeping, the gLite job-tracking service, keeps pace with this rate; however, it is not designed to provide a long-term archive of information on executed jobs. ATLAS - representative of a large user community - addresses this issue with its own job catalogue (ProdDB). Development of such a customized service, not easily reusable, took considerable effort which is not affordable by smaller communities. On the contrary, Job Provenance (JP), a generic gLite service designed for long-term archiving of information on executed jobs focusing on scalability, extensibility, uniform data view, and configurability, allows more specialized catalogues to be easily built. We present the first results of an experimental JP deployment for the ATLAS production infrastructure where a JP installation was fed with a part of ATLAS jobs, and also stress tested with real production data. The main outcome of this work is a demonstration that JP can complement large-scale application-specific job catalogue services, while serving a similar purpose where there are none available

Big data analytics as-a-service: Issues and challenges

OpenAIRE

Damiani, Ernesto; Ardagna, Claudio Agostino; Ceravolo, Paolo

2017-01-01

Big Data domain is one of the most promising ICT sectors with substantial expectations both on the side of market growing and design shift in the area of data storage managment and analytics. However, today, the level of complexity achieved and the lack of standardisation of Big Data management architectures represent a huge barrier towards the adoption and execution of analytics especially for those organizations and SMEs not including a sufficient amount of competences and knowledge. The fu...

Big Data Strategy for Telco: Network Transformation

OpenAIRE

F. Amin; S. Feizi

2014-01-01

Big data has the potential to improve the quality of services; enable infrastructure that businesses depend on to adapt continually and efficiently; improve the performance of employees; help organizations better understand customers; and reduce liability risks. Analytics and marketing models of fixed and mobile operators are falling short in combating churn and declining revenue per user. Big Data presents new method to reverse the way and improve profitability. The benefits of Big Data and ...

Final Progress Report for 'An Abstract Job Handling Grid Service for Dataset Analysis'

International Nuclear Information System (INIS)

David A Alexander

2005-01-01

For Phase I of the Job Handling project, Tech-X has built a Grid service for processing analysis requests, as well as a Graphical User Interface (GUI) client that uses the service. The service is designed to generically support High-Energy Physics (HEP) experimental analysis tasks. It has an extensible, flexible, open architecture and language. The service uses the Solenoidal Tracker At RHIC (STAR) experiment as a working example. STAR is an experiment at the Relativistic Heavy Ion Collider (RHIC) at the Brookhaven National Laboratory (BNL). STAR and other experiments at BNL generate multiple Petabytes of HEP data. The raw data is captured as millions of input files stored in a distributed data catalog. Potentially using thousands of files as input, analysis requests are submitted to a processing environment containing thousands of nodes. The Grid service provides a standard interface to the processing farm. It enables researchers to run large-scale, massively parallel analysis tasks, regardless of the computational resources available in their location

A Model-Driven Methodology for Big Data Analytics-as-a-Service

OpenAIRE

Damiani, Ernesto; Ardagna, Claudio Agostino; Ceravolo, Paolo; Bellandi, Valerio; Bezzi, Michele; Hebert, Cedric

2017-01-01

The Big Data revolution has promised to build a data-driven ecosystem where better decisions are supported by enhanced analytics and data management. However, critical issues still need to be solved in the road that leads to commodization of Big Data Analytics, such as the management of Big Data complexity and the protection of data security and privacy. In this paper, we focus on the first issue and propose a methodology based on Model Driven Engineering (MDE) that aims to substantially lowe...

Big Data for Business Ecosystem Players

Directory of Open Access Journals (Sweden)

Perko Igor

2016-06-01

Full Text Available In the provided research, some of the Big Data most prospective usage domains connect with distinguished player groups found in the business ecosystem. Literature analysis is used to identify the state of the art of Big Data related research in the major domains of its use-namely, individual marketing, health treatment, work opportunities, financial services, and security enforcement. System theory was used to identify business ecosystem major player types disrupted by Big Data: individuals, small and mid-sized enterprises, large organizations, information providers, and regulators. Relationships between the domains and players were explained through new Big Data opportunities and threats and by players’ responsive strategies. System dynamics was used to visualize relationships in the provided model.

Principals' Leadership Style and Staff Job Performance in Selected ...

African Journals Online (AJOL)

Nneka Umera-Okeke

data. The study findings identified 10 different leadership styles adopted by different ... or non-academic staff, and staff job performance is assessed based on the .... perspectives, firstly as a “process”, which implies that leadership requires ... changes, focusing on the long-term and the big picture, not always doing to save.

Big Data Analytics, Infectious Diseases and Associated Ethical Impacts

OpenAIRE

Garattini, C.; Raffle, J.; Aisyah, D. N.; Sartain, F.; Kozlakidis, Z.

2017-01-01

The exponential accumulation, processing and accrual of big data in healthcare are only possible through an equally rapidly evolving field of big data analytics. The latter offers the capacity to rationalize, understand and use big data to serve many different purposes, from improved services modelling to prediction of treatment outcomes, to greater patient and disease stratification. In the area of infectious diseases, the application of big data analytics has introduced a number of changes ...

An Investigation of Job Stress and Job Burnout in Iranian Clinical Pharmacist

Directory of Open Access Journals (Sweden)

Armaghan Eslami

2016-05-01

Full Text Available Background: Stress is an important element of organization ineffectiveness and since it leads to sickness, eventually it reduces quality and quantity of health care, lead to expansion of it costs and low job satisfaction. Stress comes along with consequences, one of this reactions which comes along with horrible effects is job burnout. Health care are more exposed for job burnout. We examined the relationship between job stress and job burnout in Iranian clinical pharmacist.Methods: Sample was 50 of men and women of clinical pharmacist. Parker and De cotiis  scale (1983 and Maslach Burnout Inventory (MBI, 1981 were used to asses clinical pharmacist stress and burnout. Data were analyzed by applying regression method.Results: Results indicated that there is strong relationship between stress and burnout and its three dimensions. The result also indicated that stress have the highest impact on emotional exhaustion and the least on the depersonalization.Conclusion: Burnout is a result of stress in human services career. Human service needs are vary from other professions since in these jobs in order to fulfill the clients’ needs, employees should use themselves as the required technology, and in return they do not receive gratitude or appreciation.

Effectiveness of various public private partnership pavement rehabilitation treatments: A big data informatics survival analysis of pavement service life : final report.

Science.gov (United States)

2017-09-29

Past research efforts have used a wide variety of methodological approaches to analyze pavement performance indicators, pavement rehabilitation treatments, and pavement service life. Using big data informatics methods, the intent of this study is to ...

Job schedulers for Big data processing in Hadoop environment: testing real-life schedulers using benchmark programs

OpenAIRE

Mohd Usama; Mengchen Liu; Min Chen

2017-01-01

At present, big data is very popular, because it has proved to be much successful in many fields such as social media, E-commerce transactions, etc. Big data describes the tools and technologies needed to capture, manage, store, distribute, and analyze petabyte or larger-sized datasets having different structures with high speed. Big data can be structured, unstructured, or semi structured. Hadoop is an open source framework that is used to process large amounts of data in an inexpensive and ...

Big data processing in the cloud - Challenges and platforms

Science.gov (United States)

Zhelev, Svetoslav; Rozeva, Anna

2017-12-01

Choosing the appropriate architecture and technologies for a big data project is a difficult task, which requires extensive knowledge in both the problem domain and in the big data landscape. The paper analyzes the main big data architectures and the most widely implemented technologies used for processing and persisting big data. Clouds provide for dynamic resource scaling, which makes them a natural fit for big data applications. Basic cloud computing service models are presented. Two architectures for processing big data are discussed, Lambda and Kappa architectures. Technologies for big data persistence are presented and analyzed. Stream processing as the most important and difficult to manage is outlined. The paper highlights main advantages of cloud and potential problems.

Experience with Remote Job Execution

International Nuclear Information System (INIS)

Lynch, Vickie E.; Cobb, John W; Green, Mark L.; Kohl, James Arthur; Miller, Stephen D.; Ren, Shelly; Smith, Bradford C.; Vazhkudai, Sudharshan S.

2008-01-01

The Neutron Science Portal at Oak Ridge National Laboratory submits jobs to the TeraGrid for remote job execution. The TeraGrid is a network of high performance computers supported by the US National Science Foundation. There are eleven partner facilities with over a petaflop of peak computing performance and sixty petabytes of long-term storage. Globus is installed on a local machine and used for job submission. The graphical user interface is produced by java coding that reads an XML file. After submission, the status of the job is displayed in a Job Information Service window which queries globus for the status. The output folder produced in the scratch directory of the TeraGrid machine is returned to the portal with globus-url-copy command that uses the gridftp servers on the TeraGrid machines. This folder is copied from the stage-in directory of the community account to the user's results directory where the output can be plotted using the portal's visualization services. The primary problem with remote job execution is diagnosing execution problems. We have daily tests of submitting multiple remote jobs from the portal. When these jobs fail on a computer, it is difficult to diagnose the problem from the globus output. Successes and problems will be presented

Gender differences in job quality and job satisfaction among doctors in rural western China.

Science.gov (United States)

Miao, Yang; Li, Lingui; Bian, Ying

2017-12-28

Few studies about gender differences in job quality and job satisfaction among medical professionals have been carried out in China. So the objectives of this study were to examine whether and to what extent gender differences existed in job quality and job satisfaction of doctors in rural western China. From 2009 to 2011, a total of 1472 doctors from 103 selected county-level health care facilities in rural western China were recruited into the study. Information about the doctors' demographic characteristics, job quality, and job satisfaction was collected through a designed questionnaire. Besides examining gender differences in single dimensions of job quality and job satisfaction, principal component analysis was used to construct a composite job quality index to measure the differences in the comprehensive job quality, and exploratory factor analysis was applied to evaluate the differences in the overall job satisfaction. Chi-square test was used to calculate differences between proportions, and t-test was used to compare differences between means. Among the doctors, there were 705 males and 767 females (ratio 1:1.09). Male doctors had significantly higher monthly salaries, longer working hours, more times of night shifts per month, longer continuous working hours, and longer years of service at current facilities, and marginally significantly higher hourly wage and longer years of service in current professions. However, female doctors showed greater overall job qualities. Significant and marginally significant gender differences were only found in satisfaction with remuneration compared to workload, the chance of promotion and working environment. But female showed greater satisfaction in the overall job satisfaction and the factor including sub-aspects of working environment, remuneration compared to workload, the chance of promotion, utilization of subjective initiative, and sense of achievement. Gender differences in job quality and job satisfaction did

Branding McJobs

DEFF Research Database (Denmark)

Noppeney, Claus; Endrissat, Nada; Kärreman, Dan

Traditionally, employer branding has been considered relevant for knowledge intensive firms that compete in a ‘war for talent’. However, the continuous rise in service sector jobs and the negative image of these so-called McJobs has motivated a trend in rebranding service work. Building on critical...... oriented branding literature, our contribution to this stream of research is twofold: We provide an empirical account of employer branding of a grocery chain, which has repeatedly been voted among the ‘100 best companies to work for’. Second, we outline the role of symbolic compensation that employees...... of employer branding....

An Analysis of Job Satisfaction among Iranian Pharmacists through Various Job Characteristics.

Science.gov (United States)

Foroughi Moghadam, Mohamad Javad; Peiravian, Farzad; Naderi, Azadeh; Rajabzadeh, Ali; Rasekh, Hamid Reza

2014-01-01

Pharmacists and pharmaceutical services are among the most important resources and programs in providing health for a society. Pharmacists as the key players in presenting health services, greatly impact on the health of a society and if they suffer low job satisfaction, their dissatisfaction may relatively threaten health in a society. This study was conducted to determine Iranian pharmacists' job satisfaction and additionally, some causes of dissatisfaction among pharmacists have been diagnosed. A job satisfaction questionnaire was developed and reliability tests were done by some experts in field of pharmacy practice. A sample of 700 pharmacists was selected among ten leading provinces of the country and questionnaires were distributed at the continuing pharmacy education conferences. Three essential factors named "Endogenous Satisfaction", "Exogenous Satisfaction" and "Current Sense of Being Pharmacists" was considered as the main job satisfaction factors. Generally low scores of exogenous and endogenous job satisfaction were concluded among pharmacists while most of them were highly satisfied with being pharmacist. Male pharmacists were more satisfied than their female colleagues and a positive relationship between age and work experience with exogenous job satisfaction was found. Low levels of job satisfaction which were found among Iranian pharmacists could be considered as a deficiency of health system in Iran. Fortunately, inherent interest in the pharmacy profession found among Iranian pharmacists is an optimistic point at which policy-makers could develop their modifying policies. Health policy-makers must endeavor to take other steps to issue solutions for this current problem.

Relationships between personality, emotional labor, work engagement and job satisfaction in service professions

OpenAIRE

Justyna Mróz; Kinga Kaleta

2016-01-01

Objectives: Although there have been studies linking personality to selected aspects of functioning at work, Polish literature reports a shortage of detailed analyses considering, e.g., specific professional groups or certain variables. The aim of our study was to explore the links between personality traits and emotional labor, work engagement and job satisfaction among service workers. Material and Methods: The study was based on a cross-sectional, self-report survey of 137 workers represen...

Job Offers to Individuals With Severe Mental Illness After Participation in Virtual Reality Job Interview Training.

Science.gov (United States)

Smith, Matthew J; Fleming, Michael F; Wright, Michael A; Jordan, Neil; Humm, Laura Boteler; Olsen, Dale; Bell, Morris D

2015-11-01

Individuals with severe mental illness have low employment rates, and the job interview presents a critical barrier for them to obtain competitive employment. Prior randomized controlled trials (RCTs) indicated that virtual reality job interview training (VR-JIT) improved job interviewing skills among trainees. This study assessed whether VR-JIT participation was associated with greater odds of receiving job offers in the six-months after completion of training. To assess the efficacy of VR-JIT, trainees (N=39) in the method and a comparison group (N=12) completed a brief survey approximately six months after participating in the RCTs. Primary vocational outcome measures included receiving a job offer and number of weeks searching for employment. A larger proportion of trainees than comparison participants received a job offer (51% versus 25%, respectively). Trainees were more likely to receive a job offer than comparison participants (odds ratio=9.64, p=.02) after analyses accounted for cognition, recency of last job, and diagnosis. Trainees had greater odds of receiving a job offer for each completed VR-JIT trial (odds ratio=1.41, p=.04), and a greater number of completed VR-JIT trials predicted fewer weeks of searching for employment (β=-.74, p=.02). Results provide preliminary support that VR-JIT is a promising intervention associated with enhanced vocational outcomes among individuals with severe mental illness. Given that participants had minimal access to standardized vocational services, future research could evaluate the effectiveness of VR-JIT among individuals with and without access to standardized vocational services as well as evaluate strategies to implement VR-JIT within a large community mental health service provider.

The effect of internal marketing on job satisfaction in health services: a pilot study in public hospitals in Northern Greece

Science.gov (United States)

2011-01-01

Background The purpose of this study was to explore the effect of internal marketing on job satisfaction in health services, particularly in public hospitals in Northern Greece. Methods A questionnaire with three sections was used. The first one referred to internal marketing by using Foreman and Money's scale, while the second one contained questions on job satisfaction based on Stamps and Piermonte's work. The last section included demographic questions. Three categories of health care professionals, nurses, doctors and paramedic personnel working in public hospitals have participated. Results Doctors tend to be more satisfied with their job than nurses in the same hospitals. Male personnel also tend to be more satisfied with their job than female. Time-defined work contract personnel have a greater level of job satisfaction than permanent personnel. Marital status, position, and educational level have no statistically significant impact on job satisfaction. A slight decline in job satisfaction occurs as the personnel age. Conclusions Internal marketing has a positive effect on the job satisfaction of hospital staff in Northern Greece. Also, doctors and male personnel seem to have greater levels of job satisfaction. Staff with time-defined work contracts with the hospital are more satisfied than permanent staff, and as the staff age, there is a slight decline in job satisfaction. PMID:21981753

The effect of internal marketing on job satisfaction in health services: a pilot study in public hospitals in Northern Greece.

Science.gov (United States)

Iliopoulos, Efthymios; Priporas, Constantinos-Vasilios

2011-10-09

The purpose of this study was to explore the effect of internal marketing on job satisfaction in health services, particularly in public hospitals in Northern Greece. A questionnaire with three sections was used. The first one referred to internal marketing by using Foreman and Money's scale, while the second one contained questions on job satisfaction based on Stamps and Piermonte's work. The last section included demographic questions. Three categories of health care professionals, nurses, doctors and paramedic personnel working in public hospitals have participated. Doctors tend to be more satisfied with their job than nurses in the same hospitals. Male personnel also tend to be more satisfied with their job than female. Time-defined work contract personnel have a greater level of job satisfaction than permanent personnel. Marital status, position, and educational level have no statistically significant impact on job satisfaction. A slight decline in job satisfaction occurs as the personnel age. Internal marketing has a positive effect on the job satisfaction of hospital staff in Northern Greece. Also, doctors and male personnel seem to have greater levels of job satisfaction. Staff with time-defined work contracts with the hospital are more satisfied than permanent staff, and as the staff age, there is a slight decline in job satisfaction.

Big sized players on the European Union’s financial advisory market

Directory of Open Access Journals (Sweden)

Nicolae, C.

2013-06-01

Full Text Available The paper presents the activity and the objectives of “The Big Four” Group of Financial Advisory Firms. The “Big Four” are the four largest international professional services networks in accountancy and professional services, offering audit, assurance, tax, consulting, advisory, actuarial, corporate finance and legal services. They handle the vast majority of audits for publicly traded companies as well as many private companies, creating an oligopoly in auditing large companies. It is reported that the Big Four audit all but one of the companies that constitute the FTSE 100, and 240 of the companies in the FTSE 250, an index of the leading mid-cap listing companies.

Symmetrical compression distance for arrhythmia discrimination in cloud-based big-data services.

Science.gov (United States)

Lillo-Castellano, J M; Mora-Jiménez, I; Santiago-Mozos, R; Chavarría-Asso, F; Cano-González, A; García-Alberola, A; Rojo-Álvarez, J L

2015-07-01

The current development of cloud computing is completely changing the paradigm of data knowledge extraction in huge databases. An example of this technology in the cardiac arrhythmia field is the SCOOP platform, a national-level scientific cloud-based big data service for implantable cardioverter defibrillators. In this scenario, we here propose a new methodology for automatic classification of intracardiac electrograms (EGMs) in a cloud computing system, designed for minimal signal preprocessing. A new compression-based similarity measure (CSM) is created for low computational burden, so-called weighted fast compression distance, which provides better performance when compared with other CSMs in the literature. Using simple machine learning techniques, a set of 6848 EGMs extracted from SCOOP platform were classified into seven cardiac arrhythmia classes and one noise class, reaching near to 90% accuracy when previous patient arrhythmia information was available and 63% otherwise, hence overcoming in all cases the classification provided by the majority class. Results show that this methodology can be used as a high-quality service of cloud computing, providing support to physicians for improving the knowledge on patient diagnosis.

The impact of public service motivation in an international organization : job satisfaction and organizational commitment in the European Commission. Paper

OpenAIRE

Vandenabeele, W.V.; Ban, C.

2009-01-01

Public service motivation has increasingly been accepted as a central construct in public personnel management and public HRM research. In recent years, research on public service motivation has grown substantially (Perry and Hondeghem, 2008) and has now reached a point where it finally lives up to its status of being ‘one of the big questions of public management’ (Behn 1995). In the existing body of literature, public service motivation has been linked to various HRM outcomes (Vandenabeele ...

Ethics and Epistemology in Big Data Research.

Science.gov (United States)

Lipworth, Wendy; Mason, Paul H; Kerridge, Ian; Ioannidis, John P A

2017-12-01

Biomedical innovation and translation are increasingly emphasizing research using "big data." The hope is that big data methods will both speed up research and make its results more applicable to "real-world" patients and health services. While big data research has been embraced by scientists, politicians, industry, and the public, numerous ethical, organizational, and technical/methodological concerns have also been raised. With respect to technical and methodological concerns, there is a view that these will be resolved through sophisticated information technologies, predictive algorithms, and data analysis techniques. While such advances will likely go some way towards resolving technical and methodological issues, we believe that the epistemological issues raised by big data research have important ethical implications and raise questions about the very possibility of big data research achieving its goals.

20 CFR 628.420 - Job training plan.

Science.gov (United States)

2010-04-01

... 20 Employees' Benefits 3 2010-04-01 2010-04-01 false Job training plan. 628.420 Section 628.420... THE JOB TRAINING PARTNERSHIP ACT Local Service Delivery System § 628.420 Job training plan. (a) The Governor shall issue instructions and schedules to assure that job training plans and plan modifications...

Balancing workload, motivation and job satisfaction in Rwanda: assessing the effect of adding family planning service provision to community health worker duties.

Science.gov (United States)

Chin-Quee, Dawn; Mugeni, Cathy; Nkunda, Denis; Uwizeye, Marie Rose; Stockton, Laurie L; Wesson, Jennifer

2016-01-06

Task shifting from higher cadre providers to CHWs has been widely adopted to address healthcare provider shortages, but the addition of any service can potentially add to an already considerable workload for CHWs. Objective measures of workload alone, such as work-related time and travel may not reflect howCHWs actually perceive and react to their circumstances. This study combined perception and objectivemeasures of workload to examine their effect on quality of services, worker performance, and job and clientsatisfaction. Three hundred eighty-three CHWs from control and intervention districts, where the intervention group was trained to provide contraceptive resupply, completed diaries of work-related activities for one month. Interviews were also conducted with a subset of CHWs and their clients. CHW diaries did not reveal significant differences between intervention and control groups in time spent on service provision or travel. Over 90% of CHWs reported workload manageability, job satisfaction, and motivation to perform their jobs. Clients were highly satisfied with CHW services and most stated preference for future services from CHWs. The study demonstrated that adding resupply of hormonal contraceptives to CHWs' tasks would not place undue burden on them. Accordingly, the initiative was scaled up in all 30 districts in the country.

The Relationship between Managerial Satisfaction and Job Turnover Intention: The Mediating Role of Job Satisfaction

Directory of Open Access Journals (Sweden)

Rüveyda Öztürk Basol

2017-09-01

Full Text Available The growth of service sector in Turkey occurs faster than the other sectors and the number of shopping malls increases correspondingly. The rapid growth of the number of shopping malls has necessitated the measurement of the attitudes of the employees in this sector. This study demonstrated that the gender, marital status and age were not the significant variables on job satisfaction, managerial satisfaction and job turnover intention; however, education status and income status were found to be significant variables on job satisfaction and job turnover intention. In addition, job satisfaction fully mediated the relationship between managerial satisfaction and job turnover intention.

Big data analytics turning big data into big money

CERN Document Server

Ohlhorst, Frank J

2012-01-01

Unique insights to implement big data analytics and reap big returns to your bottom line Focusing on the business and financial value of big data analytics, respected technology journalist Frank J. Ohlhorst shares his insights on the newly emerging field of big data analytics in Big Data Analytics. This breakthrough book demonstrates the importance of analytics, defines the processes, highlights the tangible and intangible values and discusses how you can turn a business liability into actionable material that can be used to redefine markets, improve profits and identify new business opportuni

More Differences or More Similarities Regarding Education in Big, Middle-sized and Small Companies

Directory of Open Access Journals (Sweden)

Marjana Merkač

2001-12-01

Full Text Available The article presents the results of research of education and qualifying of employees in small, middle-sized and big Slovenian companies. The research shows some differences regarding the attitude to the development of employees as a part of a company's business strategy, some obstacles for developing their abilities, and connections between job satisfaction and motivation for learning. It also shows how important it is for the subjects concerning education and qualifying if an individual works for a big, middle-sized, or small company.

The One-Stop Job Shop.

Science.gov (United States)

Kiser, Kim

1998-01-01

Minnesota's WorkForce Centers are a model of state employment services. The centers assist those in need of initiatives such as dislocated worker programs, welfare-to-work services, services for the blind, employment-and-training programs, veterans' services, and job-search assistance. (JOW)

Job share a consultant post.

OpenAIRE

Thornicroft, G.; Strathdee, G.

1992-01-01

Job sharing offers advantages to both employer and employee but it is still uncommon in medicine. Based on the experiences of two psychiatrists sharing a consultant post this article describes some of the problems in obtaining a job share. The most difficult part can be getting an interview, and once a post has been obtained the terms and conditions of service may have to be modified to suit job sharing. Getting on well with your job sharing partner and good communication will not only help o...

attitudinal and motivational factors influencing job performance of ...

African Journals Online (AJOL)

p2333147

Key words: Attitude, motivation, female extension agents, job performance. ... profession as factors limiting their job performance include lack of incentives, irregular ... Organization (FAO) survey reports that 95% of agricultural extension services ... Several studies also report the problems with male extension services as ...

Big Opportunities and Big Concerns of Big Data in Education

Science.gov (United States)

Wang, Yinying

2016-01-01

Against the backdrop of the ever-increasing influx of big data, this article examines the opportunities and concerns over big data in education. Specifically, this article first introduces big data, followed by delineating the potential opportunities of using big data in education in two areas: learning analytics and educational policy. Then, the…

[Job satisfaction and its influential factors in oil production workers].

Science.gov (United States)

He, Ya-hui; Meng, Xian-hai; Yu, Shan-fa; Qi, Xiu-ying

2008-03-01

To investigate the job satisfaction and its influential factors in oil production workers. 423 oil production workers were investigated using the Occupational Stress Instrument. The job satisfaction, job organization satisfaction, job itself satisfaction in the workers aged or = 30 years old (49.34 +/- 10.12, 24.60 +/- 5.40, 24.74 +/- 5.36 respectively) (P job satisfaction in the groups of different service length was significantly different. The job satisfaction in the workers of service length 5-10 years was the lowest compared with those of service length 10 years (P job satisfaction. The relationship between psychological health, work locus of control, coping strategies, affective balance and social support showed a statistical significance difference (P job satisfaction as strain and personal characters, occupational stress factors, coping as independent variables. Five variables entered regression equation. They were work locus of control, affective balance, social support, psychological health and coping strategies. The job satisfaction of oil production workers is affected by multiple factors such as the age, work length and social support.

'Big data' in mental health research: current status and emerging possibilities.

Science.gov (United States)

Stewart, Robert; Davis, Katrina

2016-08-01

'Big data' are accumulating in a multitude of domains and offer novel opportunities for research. The role of these resources in mental health investigations remains relatively unexplored, although a number of datasets are in use and supporting a range of projects. We sought to review big data resources and their use in mental health research to characterise applications to date and consider directions for innovation in future. A narrative review. Clear disparities were evident in geographic regions covered and in the disorders and interventions receiving most attention. We discuss the strengths and weaknesses of the use of different types of data and the challenges of big data in general. Current research output from big data is still predominantly determined by the information and resources available and there is a need to reverse the situation so that big data platforms are more driven by the needs of clinical services and service users.

Evaluating the effectiveness of Washington state repeated job search services on the employment rate of prime-age female welfare recipients☆

Science.gov (United States)

Hsiao, Cheng; Shen, Yan; Wang, Boqing; Weeks, Greg

2014-01-01

This paper uses an unbalanced panel dataset to evaluate how repeated job search services (JSS) and personal characteristics affect the employment rate of the prime-age female welfare recipients in the State of Washington. We propose a transition probability model to take into account issues of sample attrition, sample refreshment and duration dependence. We also generalize Honoré and Kyriazidou’s [Honoré, B.E., Kyriazidou, E., 2000. Panel data discrete choice models with lagged dependent variables. Econometrica 68 (4), 839–874] conditional maximum likelihood estimator to allow for the presence of individual-specific effects. A limited information test is suggested to test for selection issues in non-experimental data. The specification tests indicate that the (conditional on the set of the confounding variables considered) assumptions of no selection due to unobservables and/or no unobserved individual-specific effects are not violated. Our findings indicate that the first job search service does have positive and significant impacts on the employment rate. However, providing repeated JSS to the same client has no significant impact. Further, we find that there are significant experience-enhancing effects. These findings suggest that providing one job search services training to individuals may have a lasting impact on raising their employment rates. PMID:26052178

Work Demands-Burnout and Job Engagement-Job Satisfaction Relationships: Teamwork as a Mediator and Moderator.

Science.gov (United States)

Mijakoski, Dragan; Karadzinska-Bislimovska, Jovanka; Basarovska, Vera; Minov, Jordan; Stoleski, Sasho; Angeleska, Nada; Atanasovska, Aneta

2015-03-15

Few studies have examined teamwork as mediator and moderator of work demands-burnout and job engagement-job satisfaction relationships in healthcare workers (HCWs) in South-East Europe. To assess mediation and moderation effect of teamwork on the relationship between independent (work demands or job engagement) and dependent (burnout or job satisfaction) variables. Work demands, burnout, job engagement, and job satisfaction were measured with Hospital Experience Scale, Maslach Burnout Inventory, Utrecht Work Engagement Scale, and Job Satisfaction Survey, respectively. Hospital Survey on Patient Safety Culture was used for assessment of teamwork. In order to examine role of teamwork as a mediating variable we fit series of regression models for burnout and job satisfaction. We also fit regression models predicting outcome (burnout or job satisfaction) from predictor (work demands or job engagement) and moderator (teamwork) variable. Teamwork was partial mediator of work demands-burnout relationship and full mediator of job engagement-job satisfaction relationship. We found that only job engagement-job satisfaction relationship was moderated by teamwork. Occupational health services should target detection of burnout in HCWs and implementation of organizational interventions in hospitals, taking into account findings that teamwork predicted reduced burnout and higher job satisfaction.

Dams. Bulletin of the Technical Service of Electric Power and Big Dams; Barrages. Bulletin du Service Technique de l`Energie Electrique et des Grands Barrages

Energy Technology Data Exchange (ETDEWEB)

NONE

1996-12-31

Three papers were selected in this issue of the bulletin of the Technical Service of Electric Power and Big Dams. The first one concerns the experience feedback gained from the accident of the Drac river near Grenoble (France) due to a spillover at the Notre-Dame-de-Commiers` dam and which led to the death of 6 children and their teacher. The second one is a report of the conclusions of decennial and annual safety inspections of French dams, while the third one is a report of the Control Services activities for the third quarter of the year 1996 concerning the French dams in operation. (J.S.)

Job satisfaction and job content in Dutch dental hygienists.

Science.gov (United States)

Jerković-Ćosić, K; van Offenbeek, M A G; van der Schans, C P

2012-08-01

This study compares the scope of practice of Dutch dental hygienists (DHs) educated through a 2- or 3-year curriculum ('old-style DHs') with that of hygienists educated through a new extended 4-year curriculum leading to a bachelor's degree ('new-style DHs'), with the aim to investigate whether an extended scope of practice positively affects perceived skill variety, autonomy and job satisfaction. The questionnaires were obtained from old- and new-style DHs (n = 413, response 38%; n = 219, response 59%, respectively), in which respondents had recorded their dental tasks, perceived skill variety, autonomy and job satisfaction. T -tests were used to analyse differences between old- and new-style DHs, and regression analyses were performed to assess the relation between scope of practice and skill variety, autonomy and job satisfaction. New-style DHs have a more extended scope of practice compared with old-style DHs. Despite their more complex jobs, which are theoretically related to higher job satisfaction, new-style DHs perceive lower autonomy and job satisfaction (P job satisfaction (β = 0.462), followed by autonomy (β = 0.202) and caries decisive tasks, the last affecting job satisfaction negatively (β = -0.149). Self-employment is the strongest significant predictor for autonomy (β = 0.272). The core business of DHs remains the prevention and periodontology services. New-style DHs combine these tasks with extended tasks in the caries field, which can lead to comparatively less job satisfaction, because of a lower experienced autonomy in performing these extended tasks. © 2012 John Wiley & Sons A/S.

Big five personality traits reflected in job applicants' social media postings.

Science.gov (United States)

Stoughton, J William; Thompson, Lori Foster; Meade, Adam W

2013-11-01

Job applicants and incumbents often use social media for personal communications allowing for direct observation of their social communications "unfiltered" for employer consumption. As such, these data offer a glimpse of employees in settings free from the impression management pressures present during evaluations conducted for applicant screening and research purposes. This study investigated whether job applicants' (N=175) personality characteristics are reflected in the content of their social media postings. Participant self-reported social media content related to (a) photos and text-based references to alcohol and drug use and (b) criticisms of superiors and peers (so-called "badmouthing" behavior) were compared to traditional personality assessments. Results indicated that extraverted candidates were prone to postings related to alcohol and drugs. Those low in agreeableness were particularly likely to engage in online badmouthing behaviors. Evidence concerning the relationships between conscientiousness and the outcomes of interest was mixed.

20 CFR 670.945 - Are Job Corps operators and service providers authorized to pay State or local taxes on gross...

Science.gov (United States)

2010-04-01

... provider to pay such taxes, the center operator or service provider may pay the taxes with Federal funds... 20 Employees' Benefits 3 2010-04-01 2010-04-01 false Are Job Corps operators and service providers authorized to pay State or local taxes on gross receipts? 670.945 Section 670.945 Employees' Benefits...

Development of job standards for clinical nutrition therapy for dyslipidemia patients.

Science.gov (United States)

Kang, Min-Jae; Seo, Jung-Sook; Kim, Eun-Mi; Park, Mi-Sun; Woo, Mi-Hye; Ju, Dal-Lae; Wie, Gyung-Ah; Lee, Song-Mi; Cha, Jin-A; Sohn, Cheong-Min

2015-04-01

Dyslipidemia has significantly contributed to the increase of death and morbidity rates related to cardiovascular diseases. Clinical nutrition service provided by dietitians has been reported to have a positive effect on relief of medical symptoms or reducing the further medical costs. However, there is a lack of researches to identify key competencies and job standard for clinical dietitians to care patients with dyslipidemia. Therefore, the purpose of this study was to analyze the job components of clinical dietitian and develop the standard for professional practice to provide effective nutrition management for dyslipidemia patients. The current status of clinical nutrition therapy for dyslipidemia patients in hospitals with 300 or more beds was studied. After duty tasks and task elements of nutrition care process for dyslipidemia clinical dietitians were developed by developing a curriculum (DACUM) analysis method. The developed job standards were pretested in order to evaluate job performance, difficulty, and job standards. As a result, the job standard included four jobs, 18 tasks, and 53 task elements, and specific job description includes 73 basic services and 26 recommended services. When clinical dietitians managing dyslipidemia patients performed their practice according to this job standard for 30 patients the job performance rate was 68.3%. Therefore, the job standards of clinical dietitians for clinical nutrition service for dyslipidemia patients proposed in this study can be effectively used by hospitals.

Fuzzy VIKOR approach for selection of big data analyst in procurement management

Directory of Open Access Journals (Sweden)

Surajit Bag

2016-07-01

Full Text Available Background: Big data and predictive analysis have been hailed as the fourth paradigm of science. Big data and analytics are critical to the future of business sustainability. The demand for data scientists is increasing with the dynamic nature of businesses, thus making it indispensable to manage big data, derive meaningful results and interpret management decisions. Objectives: The purpose of this study was to provide a brief conceptual review of big data and analytics and further illustrate the use of a multicriteria decision-making technique in selecting the right skilled candidate for big data and analytics in procurement management. Method: It is important for firms to select and recruit the right data analyst, both in terms of skills sets and scope of analysis. The nature of such a problem is complex and multicriteria decision-making, which deals with both qualitative and quantitative factors. In the current study, an application of the Fuzzy VIsekriterijumska optimizacija i KOmpromisno Resenje (VIKOR method was used to solve the big data analyst selection problem. Results: From this study, it was identified that Technical knowledge (C1, Intellectual curiosity (C4 and Business acumen (C5 are the strongest influential criteria and must be present in the candidate for the big data and analytics job. Conclusion: Fuzzy VIKOR is the perfect technique in this kind of multiple criteria decisionmaking problematic scenario. This study will assist human resource managers and procurement managers in selecting the right workforce for big data analytics.

THE EFFECTS OF EMOTIONAL LABOR ON JOB ATTITUDES OF HOTEL EMPLOYEES: MEDIATING AND MODERATING ROLES OF SOCIAL SUPPORT AND JOB AUTONOMY

Directory of Open Access Journals (Sweden)

Fatma Nur IPLIK

2014-07-01

Full Text Available With increasing competition among hotels, managing employees seems to be important issue in delivering services to customers effectively. This issue also affects the firms’ outcomes and incomes. Thus, hotels as service providing firms must be able to manage the emotions of employees in order to increase the quality of services and to create value for customers. Controlling emotions of employees also contribute to gain competitive advantage across rivals. The objective of this paper is to reveal the effects of emotional labor on job attitudes of hotel employees by considering the mediating and moderating roles of social support and job autonomy. To this end, a questionnaire was employed to employees of hotels operating in Antalya Province. Results of the analyses support that emotional labor has a negative effect on emotional exhaustion. Emotional labor also has a positive effect on job satisfaction. In addition mediating and moderating roles of job autonomy and social support between emotional exhaustion and emotional labor, and emotional labor and job satisfaction.

The accidental data scientist big data applications and opportunities for librarians and information professionals

CERN Document Server

Affelt, Amy

2015-01-01

Harvard Business Review recently named the data scientist described as a high-ranking professional with the training and curiosity to make discoveries in the world of Big Data as "the sexiest job of the 21st century." Librarians and information professionals have always worked with data in order to meet the information needs of their constituents, thus "Big Data" is not a new concept for them though it is spawning new approaches along with a language all its own. InThe Accidental Data Scientist, Amy Affelt shows information professionals how to leverage their skills and training to master emerging tools, techniques, and vocabulary; create mission-critical Big Data research deliverables; and discover rewarding new career opportunities by embracing their inner Data Scientist.

One big happy family? Interdisciplinary variation in job satisfaction among hospice providers.

Science.gov (United States)

Casarett, David J; Spence, Carol; Haskins, Matthew; Teno, Joan

2011-08-01

Job satisfaction is particularly important in the hospice industry, given the emotional and interpersonal challenges that hospice staff face in providing care to patients near the end of life and their families. However, little is known about the job satisfaction of hospice providers, or about variation in satisfaction among disciplines. Staff at participating hospices completed the Survey of Team Attitudes and Relationships (STAR) using an online user interface. The STAR has 6 domains that comprise 45 items. Results were submitted for 8,495 staff from 177 hospices in 41 states. The mean total score was 28 on a 0-100 scale (range, 0-100; interquartile range, 8-45) and hospice-level scores ranged from 15 to 44. Nonclinical staff (n = 3260) and clinical staff (n = 5235) had similar total scores (28 for both). Among clinical staff, in a mixed effects model adjusting for individual and hospice characteristics, physicians had the highest total scores (adjusted mean 42; 95% confidence interval: 35-46) compared to chaplains (30; 28-33), bereavement coordinators (27; 24-30), nurses' aides (29; 27-33); nurses (26; 28-33), and social workers (25; 23-26). There is significant variation in job satisfaction both among hospices and disciplines.

Jobs for girls?

DEFF Research Database (Denmark)

Krogsgaard-Hansen, Lone; Hudson, Ray; Schech, Susanne

1992-01-01

, it was argued that "the majority of the area's prevailing social and economic difficulties are traced to the massive decline which the coal industry has suffered" (Durham County Council 1990, 41). Despite the devastation resulting from past colliery closures, these went largely uncontested, in part because...... of promises of alternative jobs. But these earlier efforts to counter the collapse of coal mining via the construction of an alternative branch plant economy had only had a limited effect. Thus the not entirely unexpected closure of the Consett works, which despite previous employment reductions was still far...... manufacturing to services, it was to service activities that were also dominated by the public sector, with central and local government and the services that these controlled and supplied providing the majority of such jobs. This was very much a legacy of both local and national political histories. At local...

Job satisfaction in psychiatric nursing.

Science.gov (United States)

Ward, M; Cowman, S

2007-08-01

In recent years, mental health services across Europe have undergone major organizational change with a move from institutional to community care. In such a context, the impact of change on the job satisfaction of psychiatric nurses has received little attention in the literature. This paper reports on the job satisfaction of psychiatric nurses and data were collected in 2003. The population of qualified psychiatric nurses (n = 800) working in a defined geographical health board area was surveyed. Methodological triangulation with a between-methods approach was used in the study. Data were collected on job satisfaction using a questionnaire adopted from the Occupational Stress Indicator. A response rate of 346 (43%) was obtained. Focus groups were used to collect qualitative data. Factors influencing levels of job satisfaction predominantly related to the nurses work location. Other factors influencing job satisfaction included choice of work location, work routine, off duty/staff allocation arrangements, teamwork and working environment. The results of the study highlight to employers of psychiatric nurses the importance of work location, including the value of facilitating staff with choices in their working environment, which may influence the recruitment and retention of nurses in mental health services.

Big data analytics as a service infrastructure: challenges, desired properties and solutions

CERN Document Server

Martín-Márquez, Manuel

2015-01-01

CERN's accelerator complex generates a very large amount of data. A large volumen of heterogeneous data is constantly generated from control equipment and monitoring agents. These data must be stored and analysed. Over the decades, CERN's researching and engineering teams have applied different approaches, techniques and technologies for this purpose. This situation has minimised the necessary collaboration and, more relevantly, the cross data analytics over different domains. These two factors are essential to unlock hidden insights and correlations between the underlying processes, which enable better and more efficient daily-based accelerator operations and more informed decisions. The proposed Big Data Analytics as a Service Infrastructure aims to: (1) integrate the existing developments, (2) centralise and standardise the complex data analytics needs for CERN's research and engineering community, (3) deliver real-time, batch data analytics and information discovery capabilities, and (4) provide transpare...

Big data and analytics strategic and organizational impacts

CERN Document Server

Morabito, Vincenzo

2015-01-01

This book presents and discusses the main strategic and organizational challenges posed by Big Data and analytics in a manner relevant to both practitioners and scholars. The first part of the book analyzes strategic issues relating to the growing relevance of Big Data and analytics for competitive advantage, which is also attributable to empowerment of activities such as consumer profiling, market segmentation, and development of new products or services. Detailed consideration is also given to the strategic impact of Big Data and analytics on innovation in domains such as government and education and to Big Data-driven business models. The second part of the book addresses the impact of Big Data and analytics on management and organizations, focusing on challenges for governance, evaluation, and change management, while the concluding part reviews real examples of Big Data and analytics innovation at the global level. The text is supported by informative illustrations and case studies, so that practitioners...

Grid Service for User-Centric Job

Energy Technology Data Exchange (ETDEWEB)

Lauret, Jerome

2009-07-31

The User Centric Monitoring (UCM) project was aimed at developing a toolkit that provides the Virtual Organization (VO) with tools to build systems that serve a rich set of intuitive job and application monitoring information to the VO’s scientists so that they can be more productive. The tools help collect and serve the status and error information through a Web interface. The proposed UCM toolkit is composed of a set of library functions, a database schema, and a Web portal that will collect and filter available job monitoring information from various resources and present it to users in a user-centric view rather than and administrative-centric point of view. The goal is to create a set of tools that can be used to augment grid job scheduling systems, meta-schedulers, applications, and script sets in order to provide the UCM information. The system provides various levels of an application programming interface that is useful through out the Grid environment and at the application level for logging messages, which are combined with the other user-centric monitoring information in a abstracted “data store”. A planned monitoring portal will also dynamically present the information to users in their web browser in a secure manor, which is also easily integrated into any JSR-compliant portal deployment that a VO might employ. The UCM is meant to be flexible and modular in the ways that it can be adopted to give the VO many choices to build a solution that works for them with special attention to the smaller VOs that do not have the resources to implement home-grown solutions.

Big Data Analytics Solutions: The Implementation Challenges in the Financial Services Industry

Science.gov (United States)

Ojo, Michael O.

2016-01-01

The challenges of Big Data (BD) and Big Data Analytics (BDA) have attracted disproportionately less attention than the overwhelmingly espoused benefits and game-changing promises. While many studies have examined BD challenges across multiple industry verticals, very few have focused on the challenges of implementing BDA solutions. Fewer of these…

White Collar Displacement: Job Erosion in the Service Sector.

Science.gov (United States)

Golden, Lonnie; Danann, Sharon

The National Commission for Employment Policy estimates that 19 million workers--17 percent of the work force--are in jobs directly threatened by office automation, and the consequences of the displacement of clerical workers due to increasing office computerization are as serious as those from manufacturing job loss. Between 1983 and 1988, almost…

Diagnosing Job Satisfaction in Mental Health Institutions.

Science.gov (United States)

Buffum, William E.; Konick, Andrew

Job satisfaction in mental health organizations has been a neglected research topic, in spite of the fact that mental health organizations themselves are concerned with quality of life issues. To study job satisfaction at three long-term public psychiatric hospitals, the Job Satisfaction Index was administered to 44 direct service employees. In…

25 CFR 26.33 - How do I show I need job training?

Science.gov (United States)

2010-04-01

... 25 Indians 1 2010-04-01 2010-04-01 false How do I show I need job training? 26.33 Section 26.33 Indians BUREAU OF INDIAN AFFAIRS, DEPARTMENT OF THE INTERIOR HUMAN SERVICES JOB PLACEMENT AND TRAINING PROGRAM Training Services § 26.33 How do I show I need job training? The need for Job Placement and...

Dams. Bulletin of the Technical Service of Electric Power and Big Dams; Barrages. Bulletin du Service Technique de l`Energie Electrique et des Grands Barrages

Energy Technology Data Exchange (ETDEWEB)

NONE

1996-12-31

Four papers were selected in this issue of the bulletin of the Technical Service of Electric Power and Big Dams. The first one concerns the `Catastrophe Medicine` congress which took place in Amiens (France) in December 5 to 7 1996 and during which the analysis of experience feedbacks and lessons gained after dam accidents and organisation of emergency plans was discussed. The second one is a report of the conclusions of the decennial and annual inspections of French dams. The third paper describes the reinforcement of the Lavaud-Gelade dam embankment and the last paper reports on the Control Services activities concerning the French dams in operation for the forth quarter of the year 1996. (J.S.)

[Big Data- challenges and risks].

Science.gov (United States)

Krauß, Manuela; Tóth, Tamás; Hanika, Heinrich; Kozlovszky, Miklós; Dinya, Elek

2015-12-06

The term "Big Data" is commonly used to describe the growing mass of information being created recently. New conclusions can be drawn and new services can be developed by the connection, processing and analysis of these information. This affects all aspects of life, including health and medicine. The authors review the application areas of Big Data, and present examples from health and other areas. However, there are several preconditions of the effective use of the opportunities: proper infrastructure, well defined regulatory environment with particular emphasis on data protection and privacy. These issues and the current actions for solution are also presented.

Understanding the Performance of Low Power Raspberry Pi Cloud for Big Data

Directory of Open Access Journals (Sweden)

Wajdi Hajji

2016-06-01

Full Text Available Nowadays, Internet-of-Things (IoT devices generate data at high speed and large volume. Often the data require real-time processing to support high system responsiveness which can be supported by localised Cloud and/or Fog computing paradigms. However, there are considerably large deployments of IoT such as sensor networks in remote areas where Internet connectivity is sparse, challenging the localised Cloud and/or Fog computing paradigms. With the advent of the Raspberry Pi, a credit card-sized single board computer, there is a great opportunity to construct low-cost, low-power portable cloud to support real-time data processing next to IoT deployments. In this paper, we extend our previous work on constructing Raspberry Pi Cloud to study its feasibility for real-time big data analytics under realistic application-level workload in both native and virtualised environments. We have extensively tested the performance of a single node Raspberry Pi 2 Model B with httperf and a cluster of 12 nodes with Apache Spark and HDFS (Hadoop Distributed File System. Our results have demonstrated that our portable cloud is useful for supporting real-time big data analytics. On the other hand, our results have also unveiled that overhead for CPU-bound workload in virtualised environment is surprisingly high, at 67.2%. We have found that, for big data applications, the virtualisation overhead is fractional for small jobs but becomes more significant for large jobs, up to 28.6%.

The Study of “big data” to support internal business strategists

Science.gov (United States)

Ge, Mei

2018-01-01

How is big data different from previous data analysis systems? The primary purpose behind traditional small data analytics that all managers are more or less familiar with is to support internal business strategies. But big data also offers a promising new dimension: to discover new opportunities to offer customers high-value products and services. The study focus to introduce some strategists which big data support to. Business decisions using big data can also involve some areas for analytics. They include customer satisfaction, customer journeys, supply chains, risk management, competitive intelligence, pricing, discovery and experimentation or facilitating big data discovery.

Big fish in small pond or small fish in big pond? An analysis of job mobility

OpenAIRE

Cardoso, Ana Rute

2005-01-01

The statement that individuals care for status and for their position within a hierarchy has been subject to sparse economic analysis. I check this assertion by analyzing wages and status within the firm, with status measured as the worker rank in the firm wage hierarchy. More precisely, I focus on worker mobility between jobs, to compare movers and stayers in terms of gains/losses in wage level versus gains/losses in rank position. The following questions are addressed: Upon switching firm, ...

Privacy Challenges of Genomic Big Data.

Science.gov (United States)

Shen, Hong; Ma, Jian

2017-01-01

With the rapid advancement of high-throughput DNA sequencing technologies, genomics has become a big data discipline where large-scale genetic information of human individuals can be obtained efficiently with low cost. However, such massive amount of personal genomic data creates tremendous challenge for privacy, especially given the emergence of direct-to-consumer (DTC) industry that provides genetic testing services. Here we review the recent development in genomic big data and its implications on privacy. We also discuss the current dilemmas and future challenges of genomic privacy.

The Food Service Worker and the Travis Air Force Base Experimental Food System: Worker Opinion and Job Satisfaction

Science.gov (United States)

1975-04-01

Surveys and interviews were administered to both civilian and military food service workers at Travis Air Force Base, both before and after dining system changes, to assess job satisfaction, opinions about additional training, and opinions about environmental and equipment features relevant to potential human factors problems.

Big Data, Smart Homes and Ambient Assisted Living

Science.gov (United States)

Wass, S.

2014-01-01

Summary Objectives To discuss how current research in the area of smart homes and ambient assisted living will be influenced by the use of big data. Methods A scoping review of literature published in scientific journals and conference proceedings was performed, focusing on smart homes, ambient assisted living and big data over the years 2011-2014. Results The health and social care market has lagged behind other markets when it comes to the introduction of innovative IT solutions and the market faces a number of challenges as the use of big data will increase. First, there is a need for a sustainable and trustful information chain where the needed information can be transferred from all producers to all consumers in a structured way. Second, there is a need for big data strategies and policies to manage the new situation where information is handled and transferred independently of the place of the expertise. Finally, there is a possibility to develop new and innovative business models for a market that supports cloud computing, social media, crowdsourcing etc. Conclusions The interdisciplinary area of big data, smart homes and ambient assisted living is no longer only of interest for IT developers, it is also of interest for decision makers as customers make more informed choices among today’s services. In the future it will be of importance to make information usable for managers and improve decision making, tailor smart home services based on big data, develop new business models, increase competition and identify policies to ensure privacy, security and liability. PMID:25123734

Big data, smart homes and ambient assisted living.

Science.gov (United States)

Vimarlund, V; Wass, S

2014-08-15

To discuss how current research in the area of smart homes and ambient assisted living will be influenced by the use of big data. A scoping review of literature published in scientific journals and conference proceedings was performed, focusing on smart homes, ambient assisted living and big data over the years 2011-2014. The health and social care market has lagged behind other markets when it comes to the introduction of innovative IT solutions and the market faces a number of challenges as the use of big data will increase. First, there is a need for a sustainable and trustful information chain where the needed information can be transferred from all producers to all consumers in a structured way. Second, there is a need for big data strategies and policies to manage the new situation where information is handled and transferred independently of the place of the expertise. Finally, there is a possibility to develop new and innovative business models for a market that supports cloud computing, social media, crowdsourcing etc. The interdisciplinary area of big data, smart homes and ambient assisted living is no longer only of interest for IT developers, it is also of interest for decision makers as customers make more informed choices among today's services. In the future it will be of importance to make information usable for managers and improve decision making, tailor smart home services based on big data, develop new business models, increase competition and identify policies to ensure privacy, security and liability.

Job-related tension, self-esteem and psychological distress in rehabilitation professionals.

Science.gov (United States)

Flett, R; Biggs, H; Alpass, F

1995-06-01

We examined perceptions of job-related tension among a non-random sample of 52 New Zealand rehabilitation service providers. We considered the relations between job tension and psychological distress and the extent to which feelings of self-esteem moderated this relationship. Major findings are that (a) there is a consistent positive relationship between job tension and general psychological distress; (b) there is a consistent negative relationship between self-esteem and both job tension and general distress; (c) self-esteem moderates the effect of job tension on general distress in that high levels of job tension were associated with increases in psychological distress among respondents with low self-esteem while among respondents with high-self esteem, job-related tension had little negative impact on feelings of psychological distress. Despite a number of limitations, the findings have a number of important implications for professional functioning among rehabilitation service providers and highlight the need for appropriate staff development and training initiatives which focus specifically on service provider wellbeing.

The relationship between job satisfaction and job loyalty among municipal sports officers

OpenAIRE

C. Mafini; J. Surujlal; M. Dhurup

2013-01-01

The purpose of this study was to examine the relationship between job satisfaction and job loyalty among municipal sports officers in South Africa. With the rise in the popularity of sport in South Africa, municipalities throughout the country face the challenge of providing improved sports services. To meet this challenge, municipalities employ a variety of sports professionals, among whom are municipal sport officers. In order for them to function effectively, it is necessary for municipali...

Transformational leadership in the consumer service workgroup: competing models of job satisfaction, change commitment, and cooperative conflict resolution.

Science.gov (United States)

Yang, Yi-Feng

2014-02-01

This paper discusses the effects of transformational leadership on cooperative conflict resolution (management) by evaluating several alternative models related to the mediating role of job satisfaction and change commitment. Samples of data from customer service personnel in Taiwan were analyzed. Based on the bootstrap sample technique, an empirical study was carried out to yield the best fitting model. The procedure of hierarchical nested model analysis was used, incorporating the methods of bootstrapping mediation, PRODCLIN2, and structural equation modeling (SEM) comparison. The analysis suggests that leadership that promotes integration (change commitment) and provides inspiration and motivation (job satisfaction), in the proper order, creates the means for cooperative conflict resolution.

Stress amongst nurses working in a healthcare telephone-advice service: relationship with job satisfaction, intention to leave, sickness absence, and performance.

Science.gov (United States)

Farquharson, Barbara; Allan, Julia; Johnston, Derek; Johnston, Marie; Choudhary, Carolyn; Jones, Martyn

2012-07-01

This paper is a report of a study, which assessed levels of stress amongst nurses working in a healthcare telephone-advice service. We explored whether stress related to performance, sickness absence, and intention to leave. Nurses report high levels of stress, as do call-centre workers. The emergence of telephone health advice services means many nurses now work in call-centres, doing work that differs markedly from traditional nursing roles. Stress associated with these roles could have implications for nurses, patients, and service provision. This paper reports cross-sectional survey results. The design of the overall study included longitudinal elements. A comprehensive study of stress was conducted amongst nurses working for a telephone-advice service in Scotland (2008-2010). All nurse-advisors were approached by letter and invited to participate. A total of 152 participants (33%) completed a questionnaire including General Health Questionnaire-12, Work Family Conflict Questionnaire, Job Satisfaction Scale and a measure of intention to leave the telephone-advice service and rated the perceived stress of 2 working shifts. Nurses' employers provided data on sickness absence and performance. Overall levels of psychological distress were similar to those found amongst Scottish women generally. In multiple regression, work-family conflict was identified as a significant predictor of job satisfaction and intention to leave, and significantly related to sickness absence. There were significant correlations between General Health Questionnaire scores and perceived stress of shifts and some performance measures. Work-family conflict is a significant predictor of job satisfaction, intention to leave, and sickness absence amongst telephone helpline nurses. Minimizing the impact of nurses' work on their home lives might reduce turnover and sickness absence. © 2012 Blackwell Publishing Ltd.

The Role of Personality in Job Satisfaction Among Collegiate Athletic Trainers.

Science.gov (United States)

Eason, Christianne M; Mazerolle, Stephanie M; Monsma, Eva V; Mensch, James M

2015-12-01

The degree to which an individual likes his or her job is known as job satisfaction. A person with higher job satisfaction is less likely to depart from a profession than a person with lower job satisfaction. Researchers studying job satisfaction among other allied health professionals suggest a personality component could explain why the reasons for departure can be so individual. Collegiate institutions. To determine the relationship between job satisfaction and personality among collegiate athletic trainers (ATs). A total of 202 ATs (68 [33.7%] men and 134 [66.3%] women), were recruited using the National Athletic Trainers' Association e-mail database. We excluded any AT from this study who worked outside of the collegiate setting. The response rate was 20.2%. Data were collected using a Web-based survey instrument consisting of 3 sections: (1) demographics, (2) job satisfaction survey, and (3) Big Five Personality Inventory. Independent t tests were run to determine sex differences, and correlations were run to evaluate relationships between demographics and job satisfaction and between job satisfaction and personality. Women reported higher levels of neuroticism than men. Extroversion and conscientiousness showed a weak positive relationship with job satisfaction. A moderate positive relationship was found between agreeableness and job satisfaction. A moderate negative relationship was noted between neuroticism and job satisfaction. Based on our findings, head ATs or other organizational leaders may consider using personality assessments during interview processes, or athletic training program directors may be able to better guide students interested in athletic training based on knowledge of their personalities.

Disabled Veterans on the Job Front.

Science.gov (United States)

Walker, Michael J.

1978-01-01

The Disabled Veterans Outreach Program (DVOP) administered by the Department of Labor's Employment and Training Administration arranges training and placement for disabled veterans in local job service offices. These employees then assist in placing other disabled veterans on jobs. Some typical DVOP success stories are described. (MF)

Can Job Control Ameliorate Work-family Conflict and Enhance Job Satisfaction among Chinese Registered Nurses? A Mediation Model.

Science.gov (United States)

Ding, Xiaotong; Yang, Yajuan; Su, Dan; Zhang, Ting; Li, Lunlan; Li, Huiping

2018-04-01

Low job satisfaction is the most common cause of nurses' turnover and influences the quality of nursing service. Moreover, we have no idea regarding whether job control, as an individual factor, can play a role in the relationship. To explore the relationship between work-family conflict and job satisfaction among Chinese registered nurses and the mediating role of job control in this relationship. From August 2015 to November 2016, 487 Chinese registered nurses completed a survey. The study used work-family conflict scale, job control scale, job satisfaction scale, as well as general information. Multiple regression analysis was used to explore the independent factors of job satisfaction. Structural equation model was used to explore the mediating role of job control. Work-family conflict was negatively correlated with job satisfaction (r ‑0.432, pjob control was positively related to job satisfaction (r 0.567, pjob control had significant predictive effects on job satisfaction. Job control partially mediated the relationship between work-family conflict and job satisfaction. Work-family conflict affected job satisfaction and job control was a mediator in this relationship among Chinese registered nurses. Job control could potentially improve nurses' job satisfaction.

Job stress and productivity increase.

Science.gov (United States)

Adaramola, Samson Sunday

2012-01-01

This paper examines mental and physical pressures that workers bear at work. The authors discuss how on the-job stress affects a person's capabilities and productivity, and how such pressures lend to higher incidences of accidents at work. The paper also discuss methods of reducing job-related stress and increasing productivity. An intervention was conducted amongst workers in a private firm. It shows mental and emotional pressure can affect performance and productivity of a worker on the job. One of the biggest influences of today's worker is on the-job stress. Job stress occurs when the requirements of the job do not match the capabilities, resources, or needs of the worker. This consequently affects how a person would normally deal with customer service problems, grievances, violence, conflict, and decisions on the job. Stress is an inevitable part of everyday life, and is therefore a distinct part of a person's job. To properly control the outcome of stress, there are certain precautions and methods that should be taken that will boost productivity.

Optimizing Bus Passenger Complaint Service through Big Data Analysis: Systematized Analysis for Improved Public Sector Management

Directory of Open Access Journals (Sweden)

Weng-Kun Liu

2016-12-01

Full Text Available With the advances in industry and commerce, passengers have become more accepting of environmental sustainability issues; thus, more people now choose to travel by bus. Government administration constitutes an important part of bus transportation services as the government gives the right-of-way to transportation companies allowing them to provide services. When these services are of poor quality, passengers may lodge complaints. The increase in consumer awareness and developments in wireless communication technologies have made it possible for passengers to easily and immediately submit complaints about transportation companies to government institutions, which has brought drastic changes to the supply–demand chain comprised of the public sector, transportation companies, and passengers. This study proposed the use of big data analysis technology including systematized case assignment and data visualization to improve management processes in the public sector and optimize customer complaint services. Taichung City, Taiwan, was selected as the research area. There, the customer complaint management process in public sector was improved, effectively solving such issues as station-skipping, allowing the public sector to fully grasp the service level of transportation companies, improving the sustainability of bus operations, and supporting the sustainable development of the public sector–transportation company–passenger supply chain.

Upward Mobility Through Job Restructuring. Personnel Management Series No. 26.

Science.gov (United States)

Civil Service Commission, Washington, DC.

The May, 1974, bulletin issued by the Civil Service Commission deals with job restructuring, the process of realigning job duties to develop technician-type or "bridge" jobs in Federal agencies, as a means to provide upward mobility for employees. Besides being highly beneficial to employees in dead end jobs at low grade levels, job restructuring…

BIDAMARK Project Results: Recommendations for EU Policymakers and Enterprises

OpenAIRE

Suoniemi, Samppa

2017-01-01

Executive summary Big data analysis has become a source of competitive advantage for businesses and even whole economies. Big data is indeed a critical issue for the digital economy, innovation and services that are expected to drive growth and job creation in the EU. Compared to the USA, however, the EU has been slow in the adoption of big data analysis. In particular, performance may be improved by investing in and making use of big customer data to offer goods and services that better ...

Can Job Control Ameliorate Work-family Conflict and Enhance Job Satisfaction among Chinese Registered Nurses? A Mediation Model

Directory of Open Access Journals (Sweden)

Xiaotong Ding

2018-04-01

Full Text Available Background: Low job satisfaction is the most common cause of nurses' turnover and influences the quality of nursing service. Moreover, we have no idea regarding whether job control, as an individual factor, can play a role in the relationship. Objective: To explore the relationship between work-family conflict and job satisfaction among Chinese registered nurses and the mediating role of job control in this relationship. Methods: From August 2015 to November 2016, 487 Chinese registered nurses completed a survey. The study used work-family conflict scale, job control scale, job satisfaction scale, as well as general information. Multiple regression analysis was used to explore the independent factors of job satisfaction. Structural equation model was used to explore the mediating role of job control. Results: Work-family conflict was negatively correlated with job satisfaction (r ‑0.432, p<0.01. In addition, job control was positively related to job satisfaction (r 0.567, p<0.01. Work-family conflict and job control had significant predictive effects on job satisfaction. Job control partially mediated the relationship between work-family conflict and job satisfaction. Conclusion: Work-family conflict affected job satisfaction and job control was a mediator in this relationship among Chinese registered nurses. Job control could potentially improve nurses' job satisfaction.

Does aging make employees more resilient to job stress? Age as a moderator in the job stressor-well-being relationship in three Finnish occupational samples.

Science.gov (United States)

Mauno, Saija; Ruokolainen, Mervi; Kinnunen, Ulla

2013-01-01

This study examined whether an employee's age moderates the relationships between job stressors (i.e. job insecurity, workload, work-family conflict) and self-rated well-being (i.e. work-family enrichment, life satisfaction, job satisfaction, vigor at work). Analysis of covariance and moderated hierarchical regression analysis were used to examine the cross-sectional Finnish data collected among service sector employees (N = 1037), nurses (N = 1719), and academic employees (N = 945). In a situation of high job insecurity, the younger nurses reported higher work-family enrichment, job satisfaction, and vigor compared to their older colleagues. A similar result was also found among the service sector workers in relation to vigor at work. Thus, young age buffered against negative outcomes related to job insecurity. Moreover, older age buffered against the negative effect of high workload on job satisfaction among the service sector and against high work-family conflict on life satisfaction among the academic employees. More attention should be paid to the ability of younger employees to manage problems related to work-family imbalance and high workload, and to older employees' ability to cope with job insecurity. The findings of this study recommend different stress management interventions for older and younger employees.

[Relationships amongst work values, job characteristics and job involvement in "net generation" nurses].

Science.gov (United States)

Chen, Sue-Hui; Chiou, Chii-Jun

2010-04-01

Children of the so-called "net generation" began joining the nurse workforce from the mid-1990s. Studies on the characteristics of this generation have been done primarily outside of Taiwan, and results may not adequately reflect conditions in Taiwan due to cultural differences. This study aimed to investigate the relationships amongst work values, job characteristics and job involvement in "net generation" nurses. This study employed a cross-sectional design. A randomized sample of 370 nurses born between 1977 and 1985 working in a medical center or a community hospital in Southern Taiwan accepted our invitation to join this study. A structured questionnaire was used to collect data. (1) Variables including work values, job characteristics, head nurse leadership qualities, job structure and opportunities for in-service education all correlated significantly with job involvement. (2) Regression analysis showed work values, job characteristics, head nurse leadership and religious belief to be significant predictors of job involvement, explaining 22.6% of the variance. This study provides insights that may be of potential value to nursing administrators. We suggest that administrators adopt democratic management practices, build diverse learning methods, strengthen autonomy, completeness, and feedback, and provide appropriate work guidance for nurses to increase job involvement.

Analyzing Big Data with the Hybrid Interval Regression Methods

Directory of Open Access Journals (Sweden)

Chia-Hui Huang

2014-01-01

Full Text Available Big data is a new trend at present, forcing the significant impacts on information technologies. In big data applications, one of the most concerned issues is dealing with large-scale data sets that often require computation resources provided by public cloud services. How to analyze big data efficiently becomes a big challenge. In this paper, we collaborate interval regression with the smooth support vector machine (SSVM to analyze big data. Recently, the smooth support vector machine (SSVM was proposed as an alternative of the standard SVM that has been proved more efficient than the traditional SVM in processing large-scale data. In addition the soft margin method is proposed to modify the excursion of separation margin and to be effective in the gray zone that the distribution of data becomes hard to be described and the separation margin between classes.

Psychological morbidity and job satisfaction among teachers in ...

African Journals Online (AJOL)

Background: Teachers are an inseparable corner stone of the society and their satisfaction will affect the quality of service they render. Poor job satisfaction could result in job stress and this could affect their psychological health. This study aims to ascertain the level, causes of job dissatisfaction, intentions to quit and ...

How Big Are "Martin's Big Words"? Thinking Big about the Future.

Science.gov (United States)

Gardner, Traci

"Martin's Big Words: The Life of Dr. Martin Luther King, Jr." tells of King's childhood determination to use "big words" through biographical information and quotations. In this lesson, students in grades 3 to 5 explore information on Dr. King to think about his "big" words, then they write about their own…

Utility of a Job-Person Match for Personnel Selection.

Science.gov (United States)

Camara, Wayne J.

A backlog of applicants for civil service positions and a work overload on selection and classification specialists at one civil service office prompted a study of the usefulness of a job-person match for personnel selection. An instrument measuring applicants' match to a large number of professional and technical jobs within a state civil service…

Big Data solutions on a small scale: Evaluating accessible high-performance computing for social research

OpenAIRE

Murthy, Dhiraj; Bowman, S. A.

2014-01-01

Though full of promise, Big Data research success is often contingent on access to the newest, most advanced, and often expensive hardware systems and the expertise needed to build and implement such systems. As a result, the accessibility of the growing number of Big Data-capable technology solutions has often been the preserve of business analytics. Pay as you store/process services like Amazon Web Services have opened up possibilities for smaller scale Big Data projects. There is high dema...

Job Demand and Job Resources related to the turnover intention of public health nurses: An analysis using a Job Demands-Resources model.

Science.gov (United States)

Iguchi, Aya

2016-01-01

Objectives The purpose of this study was to investigate the job demands and job resources of public health nurses based on the Job Demands-Resources (JD-R) model, and to build a model that can estimate turnover intention based on job demands and job resources.Method By adding 12 items to the existing questionnaire, the author created a questionnaire consisting of 10 factors and 167 items, and used statistical analysis to examine job demands and job resources in relation to turnover intention.Results Out of 2,668 questionnaires sent, 1993 (72.5%) were returned. Considering sex-based differences in occupational stress, I analyzed women's answers in 1766 (66.2%) mails among the 1798 valid responses. The average age of respondents was 41.0±9.8 years, and the mean service duration was 17.0±10.0 years. For public health nurses, there was a turnover intention of 9.2%. The "job demands" section consisted of 29 items and 10 factors, while the "job resources" section consisted of 54 items and 22 factors. The result of examining the structure of job demands and job resources, leading to turnover intention was supported by the JD-R model. Turnover intention was strong and the Mental Component Summary (MCS) is low in those who had many job demands and few job resources (experiencing 'burn-out'). Enhancement of work engagement and turnover intention was weak in those who had many job resources. This explained approximately 60% of the dispersion to "burn-out", and approximately 40% to "work engagement", with four factors: work suitability, work significance, positive work self-balance, and growth opportunity of job resources.Conclusion This study revealed that turnover intention is strong in those who are burned out because of many job demands. Enhancement of work engagement and turnover intention is weak in those with many job resources. This suggests that suitable staffing and organized efforts to raise awareness of job significance are effective in reducing

Improving Healthcare Using Big Data Analytics

Directory of Open Access Journals (Sweden)

Revanth Sonnati

2017-03-01

Full Text Available In daily terms we call the current era as Modern Era which can also be named as the era of Big Data in the field of Information Technology. Our daily lives in todays world are rapidly advancing never quenching ones thirst. The fields of science engineering and technology are producing data at an exponential rate leading to Exabytes of data every day. Big data helps us to explore and re-invent many areas not limited to education health and law. The primary purpose of this paper is to provide an in-depth analysis in the area of Healthcare using the big data and analytics. The main purpose is to emphasize on the usage of the big data which is being stored all the time helping to look back in the history but this is the time to emphasize on the analyzation to improve the medication and services. Although many big data implementations happen to be in-house development this proposed implementation aims to propose a broader extent using Hadoop which just happen to be the tip of the iceberg. The focus of this paper is not limited to the improvement and analysis of the data it also focusses on the strengths and drawbacks compared to the conventional techniques available.

Reorganisation of healthcare services for children and families: Improving collaboration, service quality, and worker well-being.

Science.gov (United States)

Martinussen, Monica; Kaiser, Sabine; Adolfsen, Frode; Patras, Joshua; Richardsen, Astrid M

2017-07-01

This study is an evaluation of a reorganisation of different services for children and their families in a Norwegian municipality. The main aim of the reorganisation was to improve interprofessional collaboration through integrating different social services for children and their parents. The evaluation was guided by the Job Demands-Resources Model with a focus on social and healthcare workers' experiences of their work, including job demands and resources, service quality, and well-being at work. The survey of the employees was conducted at three measurement points: before (T 1 ) and after (T 2 , T 3 ) the reorganisation took place, and included between 87 and 122 employees. A secondary aim was to examine the impact of different job resources and job demands on well-being (burnout, engagement, job satisfaction), and service quality. A one-way ANOVA indicated a positive development on many scales, such as collaboration, work conflict, leadership, and perceived service quality, especially from T 1 to T 2 . No changes were detected in burnout, engagement, or job satisfaction over time. Moderated regression analyses (at T 3 ) indicated that job demands were particularly associated with burnout, and job resources with engagement and job satisfaction. Perceived service quality was predicted by both job demands and resources, in addition to the interaction between workload and collaboration. The reorganisation seems to have contributed to a positive development in how collaboration, work conflict, leadership, and service quality were evaluated, but that other changes are needed to increase worker well-being. The value of the study rests on the findings that support co-locating and merging services for children and their families, and that collaboration is an important resource for healthcare professionals.

The Use of the Performance Diagnostic Checklist-Human Services to Assess and Improve the Job Performance of Individuals with Intellectual Disabilities.

Science.gov (United States)

Smith, Madison; Wilder, David A

2018-06-01

The Performance Diagnostic Checklist-Human Services (PDC-HS) is an informant-based tool designed to identify the variables responsible for performance problems. To date, the PDC-HS has not been examined with individuals with intellectual disabilities. In the current study, two supervisors with intellectual disabilities completed the PDC-HS to assess the productivity of two supervisees with disabilities who performed a pricing task in a thrift store. The PDC-HS suggested that performance deficits were due to a lack of training; a PDC-HS-indicated intervention was effective to increase accurate pricing. • The PDC-HS is an informant-based tool designed to identify the variables responsible for employee performance problems in human service settings. • The PDC-HS can be completed by some individuals with intellectual disabilities in a supervisory position to identify the variables responsible for problematic job performance among their supervisees. • A PDC-HS indicated intervention was demonstrated to be effective to improve the job performance of individuals with disabilities. • The PDC-HS may be a useful tool to support performance improvement and job maintenance among individuals with intellectual disabilities.

76 FR 35909 - Temporary Concession Contract for Big South Fork National Recreation Area, TN/KY

Science.gov (United States)

2011-06-20

... Recreation Area, TN/KY. SUMMARY: Pursuant to 36 CFR 51.24, public notice is hereby given that the National... Concession Contract for Big South Fork National Recreation Area, TN/KY AGENCY: National Park Service... services within Big South Fork National Recreation Area, Tennessee and Kentucky, for a term not to exceed 3...

Research on the development of scientific and technological intelligence in big data environment

Directory of Open Access Journals (Sweden)

Wu Qiong

2018-01-01

development of scientific and technological intelligence and problems faced by the big data intelligence system. Finally, the author has predicted the opportunities and challenges for scientific and technological intelligence service agency posed by the big data.

Ethical sensitivity, burnout, and job satisfaction in emergency nurses.

Science.gov (United States)

Palazoğlu, Cansu Atmaca; Koç, Zeliha

2017-01-01

Rising levels of burnout and decreasing job satisfaction can inhibit healthcare professionals from providing high-quality care due to a corresponding decrease in their ethical sensitivity. This study aimed to determine the relationship between the level of ethical sensitivity in emergency service nurses and their levels of burnout and job satisfaction. This research employed a descriptive and cross-sectional design. Participants and research context: This study was conducted with a sample of 236 nurses, all of whom worked in emergency service between 24 July 2015 and 28 April 2016. Data were collected using the Moral Sensitivity Questionnaire, Maslach Burnout Inventory, and Minnesota Job Satisfaction Scale. Ethical considerations: This study was approved by the Institutional Ethics Review Board of Ondokuz Mayıs University. There was a weak and negative correlation (r = -0.158, p = 0.015) between Moral Sensitivity Questionnaire and Maslach Burnout Inventory scores. There was also a weak and negative correlation (r = -0.335, p Burnout Inventory and Minnesota Job Satisfaction Scale scores. Decreased job satisfaction and increased burnout levels among emergency service nurses might result in them indulging in improper practices, frequently facing ethical problems, and a decrease in the overall quality of service in hospitals. In order for emergency service nurses to recognize ethical problems and make the most accurate decisions, a high level of ethical sensitivity is critical. In this respect, it is suggested that continuing education after graduation and training programs should be organized.

The big five personality dimensions and job performance

Directory of Open Access Journals (Sweden)

S. Rothmann

2003-10-01

Full Text Available The objective of this research was to determine the relationship between personality dimensions and job performance. A cross-sectional survey design was used. The study population consisted of 159 employees of a pharmaceutical company. The NEO-Personality Inventory – Revised and Performance Appraisal Questionnaire were used as measuring instruments. The results showed that Emotional Stability, Extraversion, Openness to Experience and Conscientiousness were related to task performance and creativity. Three personality dimensions, namely Emotional Stability, Openness to Experience and Agreeableness, explained 28% of the variance in participants’ management performance. Opsomming Die doelstelling van hierdie navorsing was om die verband tussen persoonlikheidsdimensies en werksprestasie te bepaal. ‘n Eenmalige dwarsdeursnee-ontwerp is gebruik. Die ondersoekgroep het bestaan uit 159 werknemers binne ‘n farmaseutiese organisasie. Die NEO-Personality Inventory – Revised en die Prestasiebeoordelingsvraelys is as meetinstrumente gebruik. Die resultate het aangetoon dat Emosionele Stabiliteit, Ekstroversie en Konsensieusheid met taakverrigting en kreatiwiteit verband hou. Drie persoonlikheidsdimensies, naamlik Emosionele Stabiliteit, Openheid vir Ervaring en Inskiklikheid, het 28% van die variansie in bestuursprestasie (soos beoordeel deur toesighouers voorspel.

Big Data, Big Problems: A Healthcare Perspective.

Science.gov (United States)

Househ, Mowafa S; Aldosari, Bakheet; Alanazi, Abdullah; Kushniruk, Andre W; Borycki, Elizabeth M

2017-01-01

Much has been written on the benefits of big data for healthcare such as improving patient outcomes, public health surveillance, and healthcare policy decisions. Over the past five years, Big Data, and the data sciences field in general, has been hyped as the "Holy Grail" for the healthcare industry promising a more efficient healthcare system with the promise of improved healthcare outcomes. However, more recently, healthcare researchers are exposing the potential and harmful effects Big Data can have on patient care associating it with increased medical costs, patient mortality, and misguided decision making by clinicians and healthcare policy makers. In this paper, we review the current Big Data trends with a specific focus on the inadvertent negative impacts that Big Data could have on healthcare, in general, and specifically, as it relates to patient and clinical care. Our study results show that although Big Data is built up to be as a the "Holy Grail" for healthcare, small data techniques using traditional statistical methods are, in many cases, more accurate and can lead to more improved healthcare outcomes than Big Data methods. In sum, Big Data for healthcare may cause more problems for the healthcare industry than solutions, and in short, when it comes to the use of data in healthcare, "size isn't everything."

A big data geospatial analytics platform - Physical Analytics Integrated Repository and Services (PAIRS)

Science.gov (United States)

Hamann, H.; Jimenez Marianno, F.; Klein, L.; Albrecht, C.; Freitag, M.; Hinds, N.; Lu, S.

2015-12-01

A big data geospatial analytics platform:Physical Analytics Information Repository and Services (PAIRS)Fernando Marianno, Levente Klein, Siyuan Lu, Conrad Albrecht, Marcus Freitag, Nigel Hinds, Hendrik HamannIBM TJ Watson Research Center, Yorktown Heights, NY 10598A major challenge in leveraging big geospatial data sets is the ability to quickly integrate multiple data sources into physical and statistical models and be run these models in real time. A geospatial data platform called Physical Analytics Information and Services (PAIRS) is developed on top of open source hardware and software stack to manage Terabyte of data. A new data interpolation and re gridding is implemented where any geospatial data layers can be associated with a set of global grid where the grid resolutions is doubling for consecutive layers. Each pixel on the PAIRS grid have an index that is a combination of locations and time stamp. The indexing allow quick access to data sets that are part of a global data layers and allowing to retrieve only the data of interest. PAIRS takes advantages of parallel processing framework (Hadoop) in a cloud environment to digest, curate, and analyze the data sets while being very robust and stable. The data is stored on a distributed no-SQL database (Hbase) across multiple server, data upload and retrieval is parallelized where the original analytics task is broken up is smaller areas/volume, analyzed independently, and then reassembled for the original geographical area. The differentiating aspect of PAIRS is the ability to accelerate model development across large geographical regions and spatial resolution ranging from 0.1 m up to hundreds of kilometer. System performance is benchmarked on real time automated data ingestion and retrieval of Modis and Landsat data layers. The data layers are curated for sensor error, verified for correctness, and analyzed statistically to detect local anomalies. Multi-layer query enable PAIRS to filter different data

Big Five Personality Traits and Assertiveness do not Affect Mastery of Communication Skills

OpenAIRE

Kuntze, Jeroen; van der Molen, Henk T.; Born, Marise Ph.

2016-01-01

Background: Mastering communication skills is often emphasized as an important aspect of job or academic performance. However, research into the relationships between personality factors and these skills is scarce. Purpose: This study investigated whether the big-five personality factors and assertiveness predict mastery of communication skills before and after following communication skills training. Method: The skills level of 143 psychology students was assessed after two communicati...

Designing Cloud Infrastructure for Big Data in E-government

Directory of Open Access Journals (Sweden)

Jelena Šuh

2015-03-01

Full Text Available The development of new information services and technologies, especially in domains of mobile communications, Internet of things, and social media, has led to appearance of the large quantities of unstructured data. The pervasive computing also affects the e-government systems, where big data emerges and cannot be processed and analyzed in a traditional manner due to its complexity, heterogeneity and size. The subject of this paper is the design of the cloud infrastructure for big data storage and processing in e-government. The goal is to analyze the potential of cloud computing for big data infrastructure, and propose a model for effective storing, processing and analyzing big data in e-government. The paper provides an overview of current relevant concepts related to cloud infrastructure design that should provide support for big data. The second part of the paper gives a model of the cloud infrastructure based on the concepts of software defined networks and multi-tenancy. The final goal is to support projects in the field of big data in e-government

Using Distributed Data over HBase in Big Data Analytics Platform for Clinical Services

Directory of Open Access Journals (Sweden)

Dillon Chrimes

2017-01-01

Full Text Available Big data analytics (BDA is important to reduce healthcare costs. However, there are many challenges of data aggregation, maintenance, integration, translation, analysis, and security/privacy. The study objective to establish an interactive BDA platform with simulated patient data using open-source software technologies was achieved by construction of a platform framework with Hadoop Distributed File System (HDFS using HBase (key-value NoSQL database. Distributed data structures were generated from benchmarked hospital-specific metadata of nine billion patient records. At optimized iteration, HDFS ingestion of HFiles to HBase store files revealed sustained availability over hundreds of iterations; however, to complete MapReduce to HBase required a week (for 10 TB and a month for three billion (30 TB indexed patient records, respectively. Found inconsistencies of MapReduce limited the capacity to generate and replicate data efficiently. Apache Spark and Drill showed high performance with high usability for technical support but poor usability for clinical services. Hospital system based on patient-centric data was challenging in using HBase, whereby not all data profiles were fully integrated with the complex patient-to-hospital relationships. However, we recommend using HBase to achieve secured patient data while querying entire hospital volumes in a simplified clinical event model across clinical services.

Using Distributed Data over HBase in Big Data Analytics Platform for Clinical Services.

Science.gov (United States)

Chrimes, Dillon; Zamani, Hamid

2017-01-01

Big data analytics (BDA) is important to reduce healthcare costs. However, there are many challenges of data aggregation, maintenance, integration, translation, analysis, and security/privacy. The study objective to establish an interactive BDA platform with simulated patient data using open-source software technologies was achieved by construction of a platform framework with Hadoop Distributed File System (HDFS) using HBase (key-value NoSQL database). Distributed data structures were generated from benchmarked hospital-specific metadata of nine billion patient records. At optimized iteration, HDFS ingestion of HFiles to HBase store files revealed sustained availability over hundreds of iterations; however, to complete MapReduce to HBase required a week (for 10 TB) and a month for three billion (30 TB) indexed patient records, respectively. Found inconsistencies of MapReduce limited the capacity to generate and replicate data efficiently. Apache Spark and Drill showed high performance with high usability for technical support but poor usability for clinical services. Hospital system based on patient-centric data was challenging in using HBase, whereby not all data profiles were fully integrated with the complex patient-to-hospital relationships. However, we recommend using HBase to achieve secured patient data while querying entire hospital volumes in a simplified clinical event model across clinical services.

Using Distributed Data over HBase in Big Data Analytics Platform for Clinical Services

Science.gov (United States)

Zamani, Hamid

2017-01-01

Big data analytics (BDA) is important to reduce healthcare costs. However, there are many challenges of data aggregation, maintenance, integration, translation, analysis, and security/privacy. The study objective to establish an interactive BDA platform with simulated patient data using open-source software technologies was achieved by construction of a platform framework with Hadoop Distributed File System (HDFS) using HBase (key-value NoSQL database). Distributed data structures were generated from benchmarked hospital-specific metadata of nine billion patient records. At optimized iteration, HDFS ingestion of HFiles to HBase store files revealed sustained availability over hundreds of iterations; however, to complete MapReduce to HBase required a week (for 10 TB) and a month for three billion (30 TB) indexed patient records, respectively. Found inconsistencies of MapReduce limited the capacity to generate and replicate data efficiently. Apache Spark and Drill showed high performance with high usability for technical support but poor usability for clinical services. Hospital system based on patient-centric data was challenging in using HBase, whereby not all data profiles were fully integrated with the complex patient-to-hospital relationships. However, we recommend using HBase to achieve secured patient data while querying entire hospital volumes in a simplified clinical event model across clinical services. PMID:29375652

Job profile research for the purchasing profession

NARCIS (Netherlands)

Mulder, M.; Wesselink, R.; Bruijstens, H.Chr.J.

2005-01-01

The study reported in this article is based on theories about job and competence analysis and a project in which job profiles were developed that were aimed at providing a framework of reference for evaluating in-service training programmes for purchasing professionals (professional buyers of goods

32 CFR 1656.11 - Job performance standards and sanctions.

Science.gov (United States)

2010-07-01

... 32 National Defense 6 2010-07-01 2010-07-01 false Job performance standards and sanctions. 1656.11... ALTERNATIVE SERVICE § 1656.11 Job performance standards and sanctions. (a) Standards of Performance. An ASW is..., appearance or performance violates reasonable employer standards; or (4) He quits or leaves his job without...

25 CFR 26.34 - What type of job training assistance may be approved?

Science.gov (United States)

2010-04-01

... 25 Indians 1 2010-04-01 2010-04-01 false What type of job training assistance may be approved? 26.34 Section 26.34 Indians BUREAU OF INDIAN AFFAIRS, DEPARTMENT OF THE INTERIOR HUMAN SERVICES JOB PLACEMENT AND TRAINING PROGRAM Training Services § 26.34 What type of job training assistance may be...

Big Surveys, Big Data Centres

Science.gov (United States)

Schade, D.

2016-06-01

Well-designed astronomical surveys are powerful and have consistently been keystones of scientific progress. The Byurakan Surveys using a Schmidt telescope with an objective prism produced a list of about 3000 UV-excess Markarian galaxies but these objects have stimulated an enormous amount of further study and appear in over 16,000 publications. The CFHT Legacy Surveys used a wide-field imager to cover thousands of square degrees and those surveys are mentioned in over 1100 publications since 2002. Both ground and space-based astronomy have been increasing their investments in survey work. Survey instrumentation strives toward fair samples and large sky coverage and therefore strives to produce massive datasets. Thus we are faced with the "big data" problem in astronomy. Survey datasets require specialized approaches to data management. Big data places additional challenging requirements for data management. If the term "big data" is defined as data collections that are too large to move then there are profound implications for the infrastructure that supports big data science. The current model of data centres is obsolete. In the era of big data the central problem is how to create architectures that effectively manage the relationship between data collections, networks, processing capabilities, and software, given the science requirements of the projects that need to be executed. A stand alone data silo cannot support big data science. I'll describe the current efforts of the Canadian community to deal with this situation and our successes and failures. I'll talk about how we are planning in the next decade to try to create a workable and adaptable solution to support big data science.

Recht voor big data, big data voor recht

NARCIS (Netherlands)

Lafarre, Anne

Big data is een niet meer weg te denken fenomeen in onze maatschappij. Het is de hype cycle voorbij en de eerste implementaties van big data-technieken worden uitgevoerd. Maar wat is nu precies big data? Wat houden de vijf V's in die vaak genoemd worden in relatie tot big data? Ter inleiding van

A Survey of Scholarly Data: From Big Data Perspective

DEFF Research Database (Denmark)

Khan, Samiya; Liu, Xiufeng; Shakil, Kashish A.

2017-01-01

of which, this scholarly reserve is popularly referred to as big scholarly data. In order to facilitate data analytics for big scholarly data, architectures and services for the same need to be developed. The evolving nature of research problems has made them essentially interdisciplinary. As a result......, there is a growing demand for scholarly applications like collaborator discovery, expert finding and research recommendation systems, in addition to several others. This research paper investigates the current trends and identifies the existing challenges in development of a big scholarly data platform......Recently, there has been a shifting focus of organizations and governments towards digitization of academic and technical documents, adding a new facet to the concept of digital libraries. The volume, variety and velocity of this generated data, satisfies the big data definition, as a result...

A proposed framework of big data readiness in public sectors

Science.gov (United States)

Ali, Raja Haslinda Raja Mohd; Mohamad, Rosli; Sudin, Suhizaz

2016-08-01

Growing interest over big data mainly linked to its great potential to unveil unforeseen pattern or profiles that support organisation's key business decisions. Following private sector moves to embrace big data, the government sector has now getting into the bandwagon. Big data has been considered as one of the potential tools to enhance service delivery of the public sector within its financial resources constraints. Malaysian government, particularly, has considered big data as one of the main national agenda. Regardless of government commitment to promote big data amongst government agencies, degrees of readiness of the government agencies as well as their employees are crucial in ensuring successful deployment of big data. This paper, therefore, proposes a conceptual framework to investigate perceived readiness of big data potentials amongst Malaysian government agencies. Perceived readiness of 28 ministries and their respective employees will be assessed using both qualitative (interview) and quantitative (survey) approaches. The outcome of the study is expected to offer meaningful insight on factors affecting change readiness among public agencies on big data potentials and the expected outcome from greater/lower change readiness among the public sectors.

Building a Smarter University: Big Data, Innovation, and Analytics. Critical Issues in Higher Education

Science.gov (United States)

Lane, Jason E., Ed.

2014-01-01

The Big Data movement and the renewed focus on data analytics are transforming everything from healthcare delivery systems to the way cities deliver services to residents. Now is the time to examine how this Big Data could help build smarter universities. While much of the cutting-edge research that is being done with Big Data is happening at…

25 CFR 26.29 - What is the scope of the Job Training Program?

Science.gov (United States)

2010-04-01

... 25 Indians 1 2010-04-01 2010-04-01 false What is the scope of the Job Training Program? 26.29 Section 26.29 Indians BUREAU OF INDIAN AFFAIRS, DEPARTMENT OF THE INTERIOR HUMAN SERVICES JOB PLACEMENT AND TRAINING PROGRAM Training Services § 26.29 What is the scope of the Job Training Program? A...

How Many Danish Jobs Can (Potentially) Be Done Elsewhere?

DEFF Research Database (Denmark)

Eriksson, Tor Viking

This paper employs a new survey technique to arrive at estimates of the proportion of jobs with the characteristic that they can be performed elsewhere than currently, in particular in other countries. The results from the survey which was carried out in November 2008 indicate that the proportion...... of current jobs with offshorability characteristics in Denmark is in the 20 to 30 percent range. Danish jobs that could potentially be carried out elsewhere are primarily found in the services sector (financial and business services) and they are typically performed by employees from the middle of the wage...

The Role of Personality in Job Satisfaction Among Collegiate Athletic Trainers

Science.gov (United States)

Eason, Christianne M.; Mazerolle, Stephanie M.; Monsma, Eva V.; Mensch, James M.

2015-01-01

Context  The degree to which an individual likes his or her job is known as job satisfaction. A person with higher job satisfaction is less likely to depart from a profession than a person with lower job satisfaction. Researchers studying job satisfaction among other allied health professionals suggest a personality component could explain why the reasons for departure can be so individual. Setting  Collegiate institutions. Objective  To determine the relationship between job satisfaction and personality among collegiate athletic trainers (ATs). Patients or Other Participants  A total of 202 ATs (68 [33.7%] men and 134 [66.3%] women), were recruited using the National Athletic Trainers' Association e-mail database. We excluded any AT from this study who worked outside of the collegiate setting. The response rate was 20.2%. Intervention(s)  Data were collected using a Web-based survey instrument consisting of 3 sections: (1) demographics, (2) job satisfaction survey, and (3) Big Five Personality Inventory. Main Outcome Measure(s)  Independent t tests were run to determine sex differences, and correlations were run to evaluate relationships between demographics and job satisfaction and between job satisfaction and personality. Results  Women reported higher levels of neuroticism than men. Extroversion and conscientiousness showed a weak positive relationship with job satisfaction. A moderate positive relationship was found between agreeableness and job satisfaction. A moderate negative relationship was noted between neuroticism and job satisfaction. Conclusions  Based on our findings, head ATs or other organizational leaders may consider using personality assessments during interview processes, or athletic training program directors may be able to better guide students interested in athletic training based on knowledge of their personalities. PMID:26599958

A Big Data Platform for Storing, Accessing, Mining and Learning Geospatial Data

Science.gov (United States)

Yang, C. P.; Bambacus, M.; Duffy, D.; Little, M. M.

2017-12-01

Big Data is becoming a norm in geoscience domains. A platform that is capable to effiently manage, access, analyze, mine, and learn the big data for new information and knowledge is desired. This paper introduces our latest effort on developing such a platform based on our past years' experiences on cloud and high performance computing, analyzing big data, comparing big data containers, and mining big geospatial data for new information. The platform includes four layers: a) the bottom layer includes a computing infrastructure with proper network, computer, and storage systems; b) the 2nd layer is a cloud computing layer based on virtualization to provide on demand computing services for upper layers; c) the 3rd layer is big data containers that are customized for dealing with different types of data and functionalities; d) the 4th layer is a big data presentation layer that supports the effient management, access, analyses, mining and learning of big geospatial data.

The Effect of Quality Circles on Nurses Job Satisfaction Working Emergency Medical Service

Directory of Open Access Journals (Sweden)

Reza Hossein abadi

2012-12-01

Full Text Available Introduction: Quality circle are considered an important approach to improving behavior, increasing motivation, and reducing stress. The aim of this study was to determining the effect of training and applying quality control circles on the nurses’ level of occupation satisfaction.Material and Methods: This research is a two-group quasi-experimental study that after selection of two EMS stations, by simple randomization method 25 nurses worked in central station of Hamden emergency medical service were chosen as the quality circle group and 16 nurses of central station of Malayer emergency medical service formed the control group. The tools was used in this research was the occupation satisfaction questionnaire that was made on Herzburg Two factor theory. After training and performing of quality circle in trial group the occupation satisfaction test was carried out on both groups to get the change taken place in their level of job satisfactions. Then statistical analysis was performed using SPSS.Results: The analysis of data showed that before and after intervention there was significant differences in scores of health (P<0.001 and motivation factors (P<0.001 and also in global scores of occupation satisfaction in quality circle group (P<0.001, but there was no significant differences before and after intervention in scores of health (P=0.069 and motivation factors (P=0.094 and also in global scores of occupation satisfaction in control group (P=0.495. After intervention, the analysis of data showed significant differences in scores motivation factors (P=0.001 and global scores of occupation satisfaction (P=0.003 whereas there was no significant differences in scores of health factors between two groups (P=0.089.Conclusion: This study confirmed the effectiveness of training and applying quality circle in improving EMS nurses job satisfaction and offered as management method for use by EMS managers.

Factors Effecting Job Satisfaction Among Academic Staff

Directory of Open Access Journals (Sweden)

Nezih Dağdeviren

2011-03-01

Full Text Available Objective: In this paper, we aimed to investigate the job satisfaction levels of all the academic staff in Trakya University, along with their socioeconomic features.Material and Methods: We used a questionnaire including the Minnesota Satisfaction Questionnaire Short Form. Frequency tables, cross tabulations, Pearson Chi-square, Exact Chi-square, Kruskal-Wallis, Dunn’s Multiple Comparison and Chi-squared Automatic Interaction Detector (CHAID tests were used for statistical analysis.Results: The mean age of 560 participants was 33.86±7.33 years, of whom 47% (n=263 were female and 53% (n=297 male. Of the participants, the mean levels were 63.06±10.96 for general, 44.79±7.49 for intrinsic, and 18.27±4.64 for extrinsic job satisfaction. 85.4% of the academic staff (n=478 had a moderate level of satisfaction, whereas 14.6% (n=82 had a higher level. There was a significant relationship between income and job satisfaction levels. With the CHAID analysis, it was determined that job satisfaction had a relationship with age, educational status, total years of service and years of service in the current department. Conclusion: Job satisfaction can reflect the general emotional status of employees. It has a greater importance for the jobs that can affect the extraoccupational lives directly and require constant devotion. Employers should take some measures to increase job satisfaction in order to improve efficiency.

Differences regarding job satisfaction and job involvement of psychologists with different dominant career anchors

OpenAIRE

CL Bester; T Mouton

2006-01-01

In order to contribute to higher levels of job satisfaction, job involvement , and productivity, a match or fit should be established between the dominant career anchor associated with a specific occupation and that of the employee. A career anchor is an individual’s set of self-perceived talents, abilities, motives, needs and values that form the nucleus of one’s occupational self-concept. Psychologists have always been part of the service orientated careers and therefore one would expect th...

The moderating role of employee positive well being on the relation between job satisfaction and job performance.

Science.gov (United States)

Wright, Thomas A; Cropanzano, Russell; Bonett, Douglas G

2007-04-01

This research provides further clarification to the age-old quest to better understand the happy/productive worker thesis. Using data from 109 managers employed by a large (over 5000 employees) customer services organization on the West Coast of the United States, both job satisfaction (r=.36, pjob satisfaction and job performance. Consistent with Fredrickson's model, performance was highest when employees reported high scores on both PWB and job satisfaction. This moderating effect of PWB may account for some of the inconsistent results of previous studies. Copyright (c) 2007 APA, all rights reserved.

Offshoring and Job Stability : Evidence from Italian Manufacturing

NARCIS (Netherlands)

Lo Turco, A.; Maggioni, D.; Picchio, M.

2012-01-01

Abstract: We study the relationship between offshoring and job stability in Italy in the period 1995–2001 by using an administrative dataset on manufacturing workers. We find that the international fragmentation of production negatively affects job stability. Service offshoring and material

Job satisfaction, burnout and turnover intention in occupational therapists working in mental health.

Science.gov (United States)

Scanlan, Justin Newton; Still, Megan

2013-10-01

Employee wellbeing is an important issue for mental health services. Poor employee wellbeing (i.e., high levels of burnout or low job satisfaction) is associated with poorer consumer outcomes and higher staff turnover. This study set out to examine factors related to job satisfaction, turnover intention and burnout in a group of occupational therapists in mental health. Thirty-four occupational therapists (response rate approximately 60%) in a metropolitan public mental health service participated in a whole-of-service workforce survey. The survey included measures of job satisfaction, turnover intention, burnout, job hindrances, job challenges and job resources and questions about positive and negative aspects of positions and factors that attracted employees to their current position. Burnout was associated with lower job satisfaction and higher turnover intention. Higher job satisfaction was associated with rewards (remuneration and recognition) as well as cognitively challenging work. The variables most significantly associated with poorer wellbeing (higher turnover intention and burnout) were recipient contact demands (perception that contact with service users or families was demanding), and feelings of stress or fatigue. This study provides a detailed analysis of factors associated with job satisfaction, turnover intention and burnout in a group of occupational therapists working in mental health. To promote workforce wellbeing and enhanced retention, interventions to minimise burnout should be implemented and evaluated. These strategies should focus on enhancing job resources such as supervisor support, feedback and participation in decision making as well as building the personal resilience of occupational therapists working in mental health. © 2013 Occupational Therapy Australia.

Job strain: a cross-sectional survey of dementia care specialists and other staff in Swedish home care services

Directory of Open Access Journals (Sweden)

Sandberg L

2018-05-01

first language and SDCS factor 5 (lack of recognition and stagnated organizational climate. Conclusion: The study indicates that home care staff and particularly dementia care specialists perceived high job strain. Future studies are needed to confirm or reject findings from this study. Keywords: aging-in-place, home care services, work situation, language, organization, stress

Sustainable Investment in a Supply Chain in the Big Data Era: An Information Updating Approach

Directory of Open Access Journals (Sweden)

Yanping Cheng

2018-02-01

Full Text Available We are now living in the big data era, where firms can improve their decision makings by adopting big data technology to utilize mass information. To explore the effects of the big data technology, we build an analytical model to study the sustainable investment in a supply chain, consisting of one manufacturer and one retailer, by using Bayesian information updating approach. We derive the optimal sustainable investment level for the manufacturer and the optimal order quantity for the retailer. Comparing the results with and without the big data technology, we find that whether the manufacturer should make more sustainable investment when the retailer adopts the big data technology depends on the service level at the retailer side. Interestingly, it is not always optimal for the retailer to adopt the big data technology. We identify the conditions under which the manufacturer and retailer are better off with the big data technology. In addition, we investigate the impact of the number of observations regarding the market information and find that the optimal decisions and profits increase in the number of the observations, if and only if the service level is low.

The Relationship between Managerial Satisfaction and Job Turnover Intention: The Mediating Role of Job Satisfaction

OpenAIRE

Rüveyda Öztürk Basol; Harun Demirkaya

2017-01-01

The growth of service sector in Turkey occurs faster than the other sectors and the number of shopping malls increases correspondingly. The rapid growth of the number of shopping malls has necessitated the measurement of the attitudes of the employees in this sector. This study demonstrated that the gender, marital status and age were not the significant variables on job satisfaction, managerial satisfaction and job turnover intention; however, education status and income...

Social Services programs for social inclusion through employment: facing challenges of transverslity, multidimensionality and creation of job opportunities

Directory of Open Access Journals (Sweden)

Lucía Martínez-Virto

2017-12-01

Full Text Available In a context without employment and with high labour precarity it is necessary to rethink the activation commitments linked to the inclusion policies of social services. The main goal of this paper is to debate about the limitations, potentialities and differences in terms of inclusion capacity, about 9 socio labour programs of social services. The analysis identifies three key outcomes: the need of collaboration between social services and employment departments, the importance of creating employment opportunities for people at risk of social exclusion and guaranty the multidimensionality of the intervention. Especially in a context of high unemployment and low quality jobs. These results highlight the need to reconsider the care system that, in line of European recommendations, must focus on social investment policies.

Steve Jobs: Nobel Laureate

Directory of Open Access Journals (Sweden)

Garry Jacobs

2013-05-01

Full Text Available The remarkable achievements of one of the world's greatest entrepreneurs offer profound insights into the fundamental nature of economy and essential missing links in prevailing economic theory. The career of Steve Jobs dramatically illustrates the central importance of human capital in modern economy and the almost incalculable contribution that a single individual can make to technological advancement, social innovation and wealth creation, while enhancing the lifestyle of hundreds of millions of people. Jobs demonstrated that the real basis of economic value is providing valuable products and services that fulfill human needs and aspirations, not unregulated markets and financial speculation. His apparent failures point to the dual nature of uncertainty that presides over all human activity - both the ever present threat of error and the untold opportunities hidden behind the veil. Widely regarded as a genius for inventing better products, his greatest commercial achievement has been in recognizing the central importance of services in modern society and fashioning integrated social service systems within which products act as an enabling technology.

The job demands-resources model of burnout.

Science.gov (United States)

Demerouti, E; Bakker, A B; Nachreiner, F; Schaufeli, W B

2001-06-01

The job demands-resources (JD-R) model proposes that working conditions can be categorized into 2 broad categories, job demands and job resources. that are differentially related to specific outcomes. A series of LISREL analyses using self-reports as well as observer ratings of the working conditions provided strong evidence for the JD-R model: Job demands are primarily related to the exhaustion component of burnout, whereas (lack of) job resources are primarily related to disengagement. Highly similar patterns were observed in each of 3 occupational groups: human services, industry, and transport (total N = 374). In addition, results confirmed the 2-factor structure (exhaustion and disengagement) of a new burnout instrument--the Oldenburg Burnout Inventory--and suggested that this structure is essentially invariant across occupational groups.

Using CREAM and CEMonitor for job submission and management in the gLite middleware

Energy Technology Data Exchange (ETDEWEB)

Aiftimiei, C; Andreetto, P; Bertocco, S; Dalla Fina, S; Dorigo, A; Frizziero, E; Gianelle, A; Mazzucato, M; Sgaravatto, M; Traldi, S; Zangrando, L [INFN Padova, Via Marzolo 8, I-35131 Padova (Italy); Marzolla, M [Dipartimento di Scienze dell' Informazione, Universita di Bologna, Mura A. Zamboni 7, I-40127 Bologna (Italy); Lorenzo, P Mendez; Miccio, V [CERN, BAT. 28-1-019, 1211 Geneve (Switzerland)

2010-04-01

In this paper we describe the use of CREAM and CEMonitor services for job submission and management within the gLite Grid middleware. Both CREAM and CEMonitor address one of the most fundamental operations of a Grid middleware, that is job submission and management. Specifically, CREAM is a job management service used for submitting, managing and monitoring computational jobs. CEMonitor is an event notification framework, which can be coupled with CREAM to provide the users with asynchronous job status change notifications. Both components have been integrated in the gLite Workload Management System by means of ICE (Interface to CREAM Environment). These software components have been released for production in the EGEE Grid infrastructure and, for what concerns the CEMonitor service, also in the OSG Grid. In this paper we report the current status of these services, the achieved results, and the issues that still have to be addressed.

Using CREAM and CEMonitor for job submission and management in the gLite middleware

International Nuclear Information System (INIS)

Aiftimiei, C; Andreetto, P; Bertocco, S; Dalla Fina, S; Dorigo, A; Frizziero, E; Gianelle, A; Mazzucato, M; Sgaravatto, M; Traldi, S; Zangrando, L; Marzolla, M; Lorenzo, P Mendez; Miccio, V

2010-01-01

In this paper we describe the use of CREAM and CEMonitor services for job submission and management within the gLite Grid middleware. Both CREAM and CEMonitor address one of the most fundamental operations of a Grid middleware, that is job submission and management. Specifically, CREAM is a job management service used for submitting, managing and monitoring computational jobs. CEMonitor is an event notification framework, which can be coupled with CREAM to provide the users with asynchronous job status change notifications. Both components have been integrated in the gLite Workload Management System by means of ICE (Interface to CREAM Environment). These software components have been released for production in the EGEE Grid infrastructure and, for what concerns the CEMonitor service, also in the OSG Grid. In this paper we report the current status of these services, the achieved results, and the issues that still have to be addressed.

Military Simulation Big Data: Background, State of the Art, and Challenges

Directory of Open Access Journals (Sweden)

Xiao Song

2015-01-01

Full Text Available Big data technology has undergone rapid development and attained great success in the business field. Military simulation (MS is another application domain producing massive datasets created by high-resolution models and large-scale simulations. It is used to study complicated problems such as weapon systems acquisition, combat analysis, and military training. This paper firstly reviewed several large-scale military simulations producing big data (MS big data for a variety of usages and summarized the main characteristics of result data. Then we looked at the technical details involving the generation, collection, processing, and analysis of MS big data. Two frameworks were also surveyed to trace the development of the underlying software platform. Finally, we identified some key challenges and proposed a framework as a basis for future work. This framework considered both the simulation and big data management at the same time based on layered and service oriented architectures. The objective of this review is to help interested researchers learn the key points of MS big data and provide references for tackling the big data problem and performing further research.

Tuning Organizational Values on Job Satisfaction: The Case of International Manufacturing Corporation

OpenAIRE

Elina KALLAS; Pille MOTSMEES; Anne REINO

2010-01-01

The aim of the article is to find how perception of values is related to job satisfaction on an example of international manufacturing service corporation providing provides manufacturing services for the global customers. The study was carried out in 2009 and 1180 employees from seven factories located in six countries participated in the survey that focused on different aspects of job satisfaction and perceived organizational values. Results imply that job satisfaction of employees from dif...

Health worker performance in the management of paediatric fevers following in-service training and exposure to job aids in Kenya.

Science.gov (United States)

Wasunna, Beatrice; Zurovac, Dejan; Bruce, Jane; Jones, Caroline; Webster, Jayne; Snow, Robert W

2010-09-18

Improving the way artemether-lumefantrine (AL) is provided to patients attending clinics is critical to maximize the benefit of this new medicine. In 2007, a new initiative was launched in one part of Kenya to improve malaria case-management through enhanced in-service training and provision of job aids. An evaluation of the intervention using pre- and post-intervention cross sectional health facility surveys was conducted in Bondo district. The surveys included: audit of government health facilities, health worker structured interviews and exit interviews with caretakers of sick children below five years of age. The outcome indicators were the proportions of febrile children who had AL prescribed, AL dispensed, and four different dispensing and counseling tasks performed. At baseline 33 government health facilities, 48 health workers and 386 febrile child consultations were evaluated. At follow-up the same health facilities were surveyed and 36 health workers and 390 febrile child consultations evaluated. The findings show: 1) no health facility or health worker was exposed to all components of the intervention; 2) the proportion of health workers who received the enhanced in-service training was 67%; 3) the proportion of febrile children with uncomplicated malaria treated with the first-line anti-malarial drug, artemether-lumefantrine (AL), at health facilities where AL was in stock increased from 76.9% (95%CI: 69.4, 83.1) to 87.6% (95% CI: 82.5, 91.5); 4) there were modest but non-significant improvements in dispensing and counseling practices; and 5) when the analyses were restricted to health workers who received the enhanced in-service training and/or had received new guidelines and job aids, no significant improvements in reported case-management tasks were observed compared to baseline. In-service training and provision of job aids alone may not be adequate to improve the prescribing, dispensing and counseling tasks necessary to change malaria case

Health worker performance in the management of paediatric fevers following in-service training and exposure to job aids in Kenya

Directory of Open Access Journals (Sweden)

Bruce Jane

2010-09-01

Full Text Available Abstract Background Improving the way artemether-lumefantrine (AL is provided to patients attending clinics is critical to maximize the benefit of this new medicine. In 2007, a new initiative was launched in one part of Kenya to improve malaria case-management through enhanced in-service training and provision of job aids. Methods An evaluation of the intervention using pre- and post-intervention cross sectional health facility surveys was conducted in Bondo district. The surveys included: audit of government health facilities, health worker structured interviews and exit interviews with caretakers of sick children below five years of age. The outcome indicators were the proportions of febrile children who had AL prescribed, AL dispensed, and four different dispensing and counseling tasks performed. Results At baseline 33 government health facilities, 48 health workers and 386 febrile child consultations were evaluated. At follow-up the same health facilities were surveyed and 36 health workers and 390 febrile child consultations evaluated. The findings show: 1 no health facility or health worker was exposed to all components of the intervention; 2 the proportion of health workers who received the enhanced in-service training was 67%; 3 the proportion of febrile children with uncomplicated malaria treated with the first-line anti-malarial drug, artemether-lumefantrine (AL, at health facilities where AL was in stock increased from 76.9% (95%CI: 69.4, 83.1 to 87.6% (95% CI: 82.5, 91.5; 4 there were modest but non-significant improvements in dispensing and counseling practices; and 5 when the analyses were restricted to health workers who received the enhanced in-service training and/or had received new guidelines and job aids, no significant improvements in reported case-management tasks were observed compared to baseline. Conclusion In-service training and provision of job aids alone may not be adequate to improve the prescribing, dispensing and

BigOP: Generating Comprehensive Big Data Workloads as a Benchmarking Framework

OpenAIRE

Zhu, Yuqing; Zhan, Jianfeng; Weng, Chuliang; Nambiar, Raghunath; Zhang, Jinchao; Chen, Xingzhen; Wang, Lei

2014-01-01

Big Data is considered proprietary asset of companies, organizations, and even nations. Turning big data into real treasure requires the support of big data systems. A variety of commercial and open source products have been unleashed for big data storage and processing. While big data users are facing the choice of which system best suits their needs, big data system developers are facing the question of how to evaluate their systems with regard to general big data processing needs. System b...

Effect of Job Specialization on the Hospital Stay and Job Satisfaction of ED Nurses.

Science.gov (United States)

Shamsi, Vahid; Mahmoudi, Hosein; Sirati Nir, Masoud; Babatabar Darzi, Hosein

2016-02-01

In recent decades, the increasing crowdedness of the emergency departments has posed various problems for patients and healthcare systems worldwide. These problems include prolonged hospital stay, patient dissatisfaction and nurse burnout or job dissatisfaction. The aim of this study was to investigate the effect of emergency department (ED) nurses' job specialization on their job satisfaction and the length of patient stay in the ED. This before-after quasi-experimental study was conducted from April to May 2014 at the Baqiyatallah Hospital, Tehran, Iran. Initially, 35 patients were recruited as controls and the length of their stay in the ED was measured in minutes via a chronometer; Moreover, nurses' job satisfaction was evaluated using the Mohrman-Cooke-Mohrman job satisfaction scale. Then, a job specialization intervention was developed based on the stabilization model. After that, 35 new patients were recruited to the treatment group and received specialized care services. Accordingly, the length of their stay in the ED was measured. Moreover, the same nurses' job satisfaction was re-evaluated after the study. The study intervention lasted one month. Data were analyzed using the SPSS software version 20 and statistical tests such as the Kolmogrov-Smirnov, the paired and the independent t, and chi-square tests. There was a significant difference between the two groups of patients concerning the length of their stay in the ED (P nurses had greater job satisfaction after the study (P job specialization intervention can improve nurses' satisfaction and relieve the crowdedness of the EDs.

Combined effects of positive and negative affectivity and job satisfaction on job performance and turnover intentions.

Science.gov (United States)

Bouckenooghe, Dave; Raja, Usman; Butt, Arif Nazir

2013-01-01

Capturing data from employee-supervisor dyads (N = 321) from eight organizations in Pakistan, including human service organizations, an electronics assembly plant, a packaging material manufacturing company, and a small food processing plant, we used moderated regression analysis to examine whether the relationships between trait affect (positive affectivity [PA] and negative affectivity [NA]) and two key work outcome variables (job performance and turnover) are contingent upon the level of job satisfaction. We applied the Trait Activation Theory to explain the moderating effect of job satisfaction on the relationship between affect and performance and between affect and turnover. Overall, the data supported our hypotheses. Positive and negative affectivity influenced performance and the intention to quit, and job satisfaction moderated these relationships. We discuss in detail the results of these findings and their implications for research and practice.

Work Demands-Burnout and Job Engagement-Job Satisfaction Relationships: Teamwork as a Mediator and Moderator

Directory of Open Access Journals (Sweden)

Dragan Mijakoski

2015-03-01

CONCLUSIONS: Occupational health services should target detection of burnout in HCWs and implementation of organizational interventions in hospitals, taking into account findings that teamwork predicted reduced burnout and higher job satisfaction.

A Grid job monitoring system

Energy Technology Data Exchange (ETDEWEB)

Dumitrescu, Catalin [Fermi National Accelerator Laboratory (United States); Nowack, Andreas [RWTH Aachen (Germany); Padhi, Sanjay [University of California San Diego (United States); Sarkar, Subir, E-mail: subir.sarkar@cern.c [INFN, Sezione di Pisa and Scuola Normale Superiore, Pisa (Italy)

2010-04-01

This paper presents a web-based Job Monitoring framework for individual Grid sites that allows users to follow in detail their jobs in quasi-real time. The framework consists of several independent components : (a) a set of sensors that run on the site CE and worker nodes and update a database, (b) a simple yet extensible web services framework and (c) an Ajax powered web interface having a look-and-feel and control similar to a desktop application. The monitoring framework supports LSF, Condor and PBS-like batch systems. This is one of the first monitoring systems where an X.509 authenticated web interface can be seamlessly accessed by both end-users and site administrators. While a site administrator has access to all the possible information, a user can only view the jobs for the Virtual Organizations (VO) he/she is a part of. The monitoring framework design supports several possible deployment scenarios. For a site running a supported batch system, the system may be deployed as a whole, or existing site sensors can be adapted and reused with the web services components. A site may even prefer to build the web server independently and choose to use only the Ajax powered web interface. Finally, the system is being used to monitor a glideinWMS instance. This broadens the scope significantly, allowing it to monitor jobs over multiple sites.

A grid job monitoring system

International Nuclear Information System (INIS)

Dumitrescu, Catalin; Nowack, Andreas; Padhi, Sanjay; Sarkar, Subir

2010-01-01

This paper presents a web-based Job Monitoring framework for individual Grid sites that allows users to follow in detail their jobs in quasi-real time. The framework consists of several independent components: (a) a set of sensors that run on the site CE and worker nodes and update a database, (b) a simple yet extensible web services framework and (c) an Ajax powered web interface having a look-and-feel and control similar to a desktop application. The monitoring framework supports LSF, Condor and PBS-like batch systems. This is one of the first monitoring systems where an X.509 authenticated web interface can be seamlessly accessed by both end-users and site administrators. While a site administrator has access to all the possible information, a user can only view the jobs for the Virtual Organizations (VO) he/she is a part of. The monitoring framework design supports several possible deployment scenarios. For a site running a supported batch system, the system may be deployed as a whole, or existing site sensors can be adapted and reused with the web services components. A site may even prefer to build the web server independently and choose to use only the Ajax powered web interface. Finally, the system is being used to monitor a glideinWMS instance. This broadens the scope significantly, allowing it to monitor jobs over multiple sites.

The Affective Consequences of Service Work: Managing Emotions on the Job.

Science.gov (United States)

Wharton, Amy S.

1993-01-01

Data from 622 workers (83% in hospitals, 17% banks) showed that workers who perform emotional labor (requiring public contact and production of emotional state in customers) are no more likely to suffer emotional exhaustion, especially those with higher job autonomy. Women and those with high autonomy express more job satisfaction. Self-selection…

How Big Is Too Big?

Science.gov (United States)

Cibes, Margaret; Greenwood, James

2016-01-01

Media Clips appears in every issue of Mathematics Teacher, offering readers contemporary, authentic applications of quantitative reasoning based on print or electronic media. This issue features "How Big is Too Big?" (Margaret Cibes and James Greenwood) in which students are asked to analyze the data and tables provided and answer a…

Adapting Job Analysis Methodology to Improve Evaluation Practice

Science.gov (United States)

Jenkins, Susan M.; Curtin, Patrick

2006-01-01

This article describes how job analysis, a method commonly used in personnel research and organizational psychology, provides a systematic method for documenting program staffing and service delivery that can improve evaluators' knowledge about program operations. Job analysis data can be used to increase evaluators' insight into how staffs…

Job task characteristics of Australian emergency services volunteers during search and rescue operations.

Science.gov (United States)

Silk, Aaron; Lenton, Gavin; Savage, Robbie; Aisbett, Brad

2018-02-01

Search and rescue operations are necessary in locating, assisting and recovering individuals lost or in distress. In Australia, land-based search and rescue roles require a range of physically demanding tasks undertaken in dynamic and challenging environments. The aim of the current research was to identify and characterise the physically demanding tasks inherent to search and rescue operation personnel within Australia. These aims were met through a subjective job task analysis approach. In total, 11 criterion tasks were identified by personnel. These tasks were the most physically demanding, frequently occurring and operationally important tasks to these specialist roles. Muscular strength was the dominant fitness component for 7 of the 11 tasks. In addition to the discrete criterion tasks, an operational scenario was established. With the tasks and operational scenario identified, objective task analysis procedures can be undertaken so that practitioners can implement evidence-based strategies, such as physical selection procedures and task-based physical training programs, commensurate with the physical demands of search and rescue job roles. Practitioner Summary: The identification of physically demanding tasks amongst specialist emergency service roles predicates health and safety strategies which can be incorporated into organisations. Knowledge of physical task parameters allows employers to mitigate injury risk through the implementation of strategies modelled on the precise physical demands of the role.

Strengthen the servant leadership to enhance the nurses’ job satisfaction

Directory of Open Access Journals (Sweden)

Yun-xia HAO

2014-11-01

Full Text Available Objective: Continue to improve and implement the service concept of "taking patients as the center" through enhancing nurses’ job satisfaction. Methods: Strengthen clinic functions of nursing department, which is guided by the demands of clinical nurses. Results: Clinical nurses’ job satisfaction keeps at a high level. Conclusion: Service-oriented mode of nursing management can make the nurses to keep good work experience and satisfaction.

Crisis-counselor perceptions of job training, stress, and satisfaction during disaster recovery.

Science.gov (United States)

Bellamy, Nikki D; Wang, Min Qi; McGee, Lori A; Liu, Julie S; Robinson, Maryann E

2018-05-03

The United States Crisis Counseling Assistance and Training Program (CCP; authorized by the Robert T. Stafford Disaster Relief and Emergency Assistance Act, 1974/2013) aims to provide disaster-recovery support to communities following natural or human-caused disasters through outreach. Job satisfaction among the crisis counselors the CCP employs may affect the delivery of outreach services to survivors and their communities. The present study was conducted to gain insight into CCP crisis counselors' experiences with job training and work-related stress as predictors of job satisfaction. Data was collected from 47 CCP service-provider agencies, including 532 completed service-provider feedback surveys to examine the usefulness of the CCP training they had received, the support and supervision provided by program management, the workload and its duration, resources provided, and the stress experienced. Quantitative and qualitative data were examined, and a multiple linear regression was calculated to predict job satisfaction based on training usefulness, job stress, gender, age, race, full- or part-time status, highest level of education achieved, and supervisory position. The overall regression equation was significant, F(8, 341) = 8.428, p job training was rated as useful (p job stress (p job satisfaction. Findings suggest that proper training and management of stress among crisis counselors are necessary for influencing levels of staff job satisfaction. Where self-care and stress management were not adequately emphasized, more stress was reported. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Meta-analytic of the relationship between employee job satisfaction and customer satisfaction

OpenAIRE

Marlena León Mendoza; Carlos Ortega Maldonado

2014-01-01

A meta-analysis of the relationship between employee job satisfaction and customer satisfaction was conducted. This analysis produced statistically significant correlation for this relationship. Results suggest that the service context is a moderator of the employee job satisfaction – customer satisfaction relationship in a way that in personal services this correlation is stronger than in non-personal services. Some implications for future research are presented

77 FR 76861 - Removal of Job Training Partnership Act Implementing Regulations

Science.gov (United States)

2012-12-31

..., 633, 634, 636, 637, and 638 RIN 1205-AB68 Removal of Job Training Partnership Act Implementing...=FR . SUPPLEMENTARY INFORMATION: I. Direct Final Rule Procedure Since removal of the Job Training... barriers to employment for participation in the labor force by providing job training and other services...

Assessing the relationship between pharmacists' job satisfaction and over-the-counter counselling at community pharmacies.

Science.gov (United States)

Urbonas, Gvidas; Kubilienė, Loreta

2016-04-01

Community pharmacies have an increasing role in self-medication and community health is dependent on the quality of counselling services provided to patients. Some studies show that pharmacists' job satisfaction affects their work quality; other studies found that higher involvement in clinical services increases pharmacists' job satisfaction. To test the relationship between job satisfaction and over-the-counter counselling practice at community pharmacies. Community pharmacies in Lithuania. A convenience sample (n = 305) of community pharmacists participated in the cross-sectional survey where they expressed satisfaction with job and reported on their over-the-counter counselling behaviour on self-report scales. The Partial Least Squares Structural Equation Modelling approach was employed for data analysis. The strength of the relationship between job satisfaction and over-the-counter counselling service. A bidirectional relationship between job satisfaction and over-the-counter counselling service was found. In addition, job satisfaction and over-the-counter counselling quality depended on pharmacists' age. Organizations were recommended to create a counselling friendly environment that would increase pharmacists' job satisfaction and, in return, counselling quality. Also, additional motivation of the retired pharmacists, as well as development of counselling skills of the younger pharmacy workforce, were seen as a means to improve both organizational climate and counselling quality over the counter.

Relationship between hospital pharmacists' job satisfaction and involvement in clinical activities.

Science.gov (United States)

Olson, D S; Lawson, K A

1996-02-01

Job satisfaction among hospital pharmacists employed by a national hospital pharmacy management company was measured by using a mail questionnaire. A previously validated survey that measured pharmacists' job satisfaction was adapted for use in this study. Additional questions determined the pharmacist's clinical pharmacy training and participation in clinical pharmacy services. Questionnaires were mailed to all full-time hospital pharmacists employed by the pharmacy management company. Of the 606 mailed, deliverable questionnaires, 354 usable responses were returned, for a response rate of 58.4%. The respondent hospital pharmacists' level of job satisfaction showed a positive association with clinical pharmacy involvement. Of the nine items in the questionnaire that measured the pharmacists' involvement in clinical pharmacy services, seven items showed a positive relationship between involvement in that clinical activity and job satisfaction. Mean job satisfaction increased as the percentage of time spent performing clinical pharmacy activities increased. Job satisfaction decreased as time spent performing distributive functions increased. The percentage of time hospital pharmacists were engaged in clinical activities was significantly associated with job satisfaction.

Emotional labour strategies as mediators of the relationship between public service motivation and job satisfaction in Chinese teachers.

Science.gov (United States)

Li, Mingjun; Wang, Zhenhong

2016-06-01

The purpose of this study was to examine the relationship between teachers' public service motivation (PSM) and their job satisfaction levels and to investigate the mediating effects of surface acting (SA) and deep acting (DA) on that relationship. The teacher PSM scale, as well as emotional labour strategies and intrinsic satisfaction (IS) and extrinsic satisfaction (ES) scales, were administered to 317 primary and middle school teachers. Results indicated that PSM among Chinese teachers was significantly and positively related to both IS and ES. Furthermore, structural equation modelling analysis showed that SA and DA played mediating roles in the PSM-IS and PSM-ES relationships, respectively. These findings provide a new perspective that explains the mechanism underlying the association between PSM among teachers and their job satisfaction levels. Finally, the possible explanations and implications are discussed. © 2014 International Union of Psychological Science.

Towards cloud based big data analytics for smart future cities

OpenAIRE

Khan, Zaheer; Anjum, Ashiq; Soomro, Kamran; Tahir, Muhammad

2015-01-01

A large amount of land-use, environment, socio-economic, energy and transport data is generated in cities. An integrated perspective of managing and analysing such big data can answer a number of science, policy, planning, governance and business questions and support decision making in enabling a smarter environment. This paper presents a theoretical and experimental perspective on the smart cities focused big data management and analysis by proposing a cloud-based analytics service. A proto...

The U.S. Forest Service Job Corps 28 Civilian Conservation Centers

Science.gov (United States)

Larry J. Dawson; Alicia D. Bennett

2011-01-01

In 1964, President Lyndon B. Johnson laid out his plan for the Great Society. His vision for America was one in which all segments of society could participate equally. To this end, the Economic Opportunity Act, which created Job Corps, was passed. The Job Corps program provides economically disadvantaged youth, ages 16-24, with the academic, vocational, and social...

Dams. Bulletin of the technical service of electric power and big dams; Barrages. Bulletin du service technique de l`energie electrique et des grands barrages

Energy Technology Data Exchange (ETDEWEB)

Davard, J.

1997-12-31

The Dams bulletin reports on technical news concerning big French dams in operation. This issue comprises 5 papers. Two of them are examples of granting problems which led to the dismantling of the dams of Kernansquillec (Cotes d`Armor, France) and Maisons-Rouges (Indre-et-Loire, France) for economical and environmental reasons. The 3 other papers concern the life of French dams (technical control reports of the French dams in operation), the activities of the control service (annual inspections, preparation of draining operations, renewing of granting), and some general information (organisation of competent authorities, colloquium reports, hydro-power production during the first quarter of 1997). (J.S.)

Job Creation and Job Types

DEFF Research Database (Denmark)

Kuhn, Johan M.; Malchow-Møller, Nikolaj; Sørensen, Anders

We extend earlier analyses of the job creation of start-ups vs. established firms by taking into consideration the educational content of the jobs created and destroyed. We define educationspecific measures of job creation and job destruction at the firm level, and we use these to construct...... a measure of “surplus job creation” defined as jobs created on top of any simultaneous destruction of similar jobs in incumbent firms in the same region and industry. Using Danish employer-employee data from 2002-7, which identify the start-ups and which cover almost the entire private sector......, these measures allow us to provide a more nuanced assessment of the role of entrepreneurial firms in the job-creation process than previous studies. Our findings show that while start-ups are responsible for the entire overall net job creation, incumbents account for more than a third of net job creation within...

From Franchise to Programming: Jobs in Cable Television.

Science.gov (United States)

Stanton, Michael

1985-01-01

This article takes a look at some of the key jobs at every level of the cable industry. It discusses winning a franchise, building and running the system, and programing and production. Job descriptions include engineer, market analyst, programers, financial analysts, strand mappers, customer service representatives, access coordinator, and studio…

Job satisfaction among radiation therapy educators.

Science.gov (United States)

Swafford, Larry G; Legg, Jeffrey S

2007-01-01

Job satisfaction is one of the most consistent variables related to employee retention and is especially relevant considering the shortage of radiation therapists and radiation therapy educators in the United States. To investigate job satisfaction levels among radiation therapy educators certified by the American Registry of Radiologic Technologists and employed in programs accredited by the Joint Review Committee on Education in Radiologic Technology. The long form of the Minnesota Satisfaction Questionnaire (MSQ) was mailed to 158 radiation therapy educators to measure job satisfaction. Overall job satisfaction and subscales were calculated based on MSQ methodology. A total of 90 usable surveys were returned for a 56.9% response rate. With a "general satisfaction" score of 69.64, radiation therapy educators ranked in the lowest 25th percentile of the nondisabled norm scale for job satisfaction. Respondents reported higher degrees of job satisfaction on the moral values, social service and achievement subscales. Lower job satisfaction levels were associated with the company policies and practices, advancement and compensation subscales. Radiation therapy educators report low job satisfaction. Educational institutions must tailor recruitment and retention efforts to better reflect the positive aspects of being a radiation therapy educator. Furthermore, improving retention and recruitment efforts might help offset the current shortages of radiation therapy educators and, ultimately, clinical radiation therapists.

Virtual Reality Job Interview Training for Individuals with Psychiatric Disabilities

Science.gov (United States)

Smith, Matthew J.; Ginger, Emily J.; Wright, Michael; Wright, Katherine; Humm, Laura Boteler; Olsen, Dale; Bell, Morris D.; Fleming, Michael F.

2014-01-01

Services are available to help support existing employment for individual with psychiatric disabilities; however, there is a gap in services targeting job interview skills that can help obtain employment. We assessed the feasibility and efficacy of Virtual Reality Job Interview Training (VR-JIT) in a randomized controlled trial. Participants were randomized to VR-JIT (n=25) or treatment as usual (TAU) (n=12) groups. VR-JIT consisted of 10 hours of simulated job interviews with a virtual character and didactic online training. Participants attended 95% of lab-based training sessions and found VR-JIT easy-to-use and felt prepared for future interviews. The VR-JIT group improved their job interview role-play performance (pinterview skills and self-confidence. Future research may help clarify whether this intervention is efficacious in community-based settings. PMID:25099298

questions as engagement strategies in nigerian job portals online

African Journals Online (AJOL)

rotimi

2012-09-13

Sep 13, 2012 ... Key words: questions, engagement strategy, job portal, Nigeria, unemployment .... Job portals offer different services, such as ..... softer disciplines (philosophy, sociology, applied linguistics and marketing) than the .... constructed based on a hypothetical case and used to bring readers into an imaginary.

The effect of quality circles on job satisfaction and quality of work-life of staff in emergency medical services.

Science.gov (United States)

Hosseinabadi, Reza; Karampourian, Arezou; Beiranvand, Shoorangiz; Pournia, Yadollah

2013-10-01

Quality circles, as a participatory management technique, offer one alternative for dealing with frustration and discontent of today's workers. This study was conducted to investigate the effect of implementation of quality circles on nurses' quality of work-life and job satisfaction. In this study, two emergency medical services (EMS) of Hamedan province were selected and randomly assigned as the experimental and control groups. After the experimental group was trained and quality circles were established in this group, the levels of quality of work-life and job satisfaction were measured in the two groups. Then, the statistical analyses were performed using t-test. After the intervention, the results showed significant differences between the scores of motivational factors (p=0.001), the total scores of job satisfaction (p=0.003), and the scores of some quality of work life (QWL) conceptual categories including the use and development of capacities (p=0.008), the total space of life (p=0.003), and the total scores of QWL (p=0.031) in the experimental group compared to those in the control group. This study confirms the effectiveness of quality circles in improving quality of work-life and job satisfaction of nurses working in EMS, and offers their application as a management method that can be used by EMS managers. Copyright © 2012 Elsevier Ltd. All rights reserved.

Nursing Needs Big Data and Big Data Needs Nursing.

Science.gov (United States)

Brennan, Patricia Flatley; Bakken, Suzanne

2015-09-01

Contemporary big data initiatives in health care will benefit from greater integration with nursing science and nursing practice; in turn, nursing science and nursing practice has much to gain from the data science initiatives. Big data arises secondary to scholarly inquiry (e.g., -omics) and everyday observations like cardiac flow sensors or Twitter feeds. Data science methods that are emerging ensure that these data be leveraged to improve patient care. Big data encompasses data that exceed human comprehension, that exist at a volume unmanageable by standard computer systems, that arrive at a velocity not under the control of the investigator and possess a level of imprecision not found in traditional inquiry. Data science methods are emerging to manage and gain insights from big data. The primary methods included investigation of emerging federal big data initiatives, and exploration of exemplars from nursing informatics research to benchmark where nursing is already poised to participate in the big data revolution. We provide observations and reflections on experiences in the emerging big data initiatives. Existing approaches to large data set analysis provide a necessary but not sufficient foundation for nursing to participate in the big data revolution. Nursing's Social Policy Statement guides a principled, ethical perspective on big data and data science. There are implications for basic and advanced practice clinical nurses in practice, for the nurse scientist who collaborates with data scientists, and for the nurse data scientist. Big data and data science has the potential to provide greater richness in understanding patient phenomena and in tailoring interventional strategies that are personalized to the patient. © 2015 Sigma Theta Tau International.

Bioinformatics clouds for big data manipulation.

Science.gov (United States)

Dai, Lin; Gao, Xin; Guo, Yan; Xiao, Jingfa; Zhang, Zhang

2012-11-28

As advances in life sciences and information technology bring profound influences on bioinformatics due to its interdisciplinary nature, bioinformatics is experiencing a new leap-forward from in-house computing infrastructure into utility-supplied cloud computing delivered over the Internet, in order to handle the vast quantities of biological data generated by high-throughput experimental technologies. Albeit relatively new, cloud computing promises to address big data storage and analysis issues in the bioinformatics field. Here we review extant cloud-based services in bioinformatics, classify them into Data as a Service (DaaS), Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS), and present our perspectives on the adoption of cloud computing in bioinformatics. This article was reviewed by Frank Eisenhaber, Igor Zhulin, and Sandor Pongor.

BIG Data - BIG Gains? Understanding the Link Between Big Data Analytics and Innovation

OpenAIRE

Niebel, Thomas; Rasel, Fabienne; Viete, Steffen

2017-01-01

This paper analyzes the relationship between firms’ use of big data analytics and their innovative performance for product innovations. Since big data technologies provide new data information practices, they create new decision-making possibilities, which firms can use to realize innovations. Applying German firm-level data we find suggestive evidence that big data analytics matters for the likelihood of becoming a product innovator as well as the market success of the firms’ product innovat...

Emotion Analysis on Social Big Data

Institute of Scientific and Technical Information of China (English)

REN Fuji; Kazuyuki Matsumoto

2017-01-01

In this paper, we describe a method of emotion analysis on social big data. Social big data means text data that is emerging on In-ternet social networking services.We collect multilingual web corpora and annotated emotion tags to these corpora for the purpose of emotion analysis. Because these data are constructed by manual annotation, their quality is high but their quantity is low. If we create an emotion analysis model based on this corpus with high quality and use the model for the analysis of social big data, we might be able to statistically analyze emotional sensesand behavior of the people in Internet communications, which we could not know before. In this paper, we create an emotion analysis model that integrate the high-quality emotion corpus and the automatic-constructed corpus that we created in our past studies, and then analyze a large-scale corpus consisting of Twitter tweets based on the model. As the result of time-series analysis on the large-scale corpus and the result of model evaluation, we show the effective-ness of our proposed method.

Networking for big data

CERN Document Server

Yu, Shui; Misic, Jelena; Shen, Xuemin (Sherman)

2015-01-01

Networking for Big Data supplies an unprecedented look at cutting-edge research on the networking and communication aspects of Big Data. Starting with a comprehensive introduction to Big Data and its networking issues, it offers deep technical coverage of both theory and applications.The book is divided into four sections: introduction to Big Data, networking theory and design for Big Data, networking security for Big Data, and platforms and systems for Big Data applications. Focusing on key networking issues in Big Data, the book explains network design and implementation for Big Data. It exa

Big data analytics as a service infrastructure: challenges, desired properties and solutions

International Nuclear Information System (INIS)

Martín-Márquez, Manuel

2015-01-01

CERN's accelerator complex generates a very large amount of data. A large volumen of heterogeneous data is constantly generated from control equipment and monitoring agents. These data must be stored and analysed. Over the decades, CERN's researching and engineering teams have applied different approaches, techniques and technologies for this purpose. This situation has minimised the necessary collaboration and, more relevantly, the cross data analytics over different domains. These two factors are essential to unlock hidden insights and correlations between the underlying processes, which enable better and more efficient daily-based accelerator operations and more informed decisions. The proposed Big Data Analytics as a Service Infrastructure aims to: (1) integrate the existing developments; (2) centralise and standardise the complex data analytics needs for CERN's research and engineering community; (3) deliver real-time, batch data analytics and information discovery capabilities; and (4) provide transparent access and Extract, Transform and Load (ETL), mechanisms to the various and mission-critical existing data repositories. This paper presents the desired objectives and properties resulting from the analysis of CERN's data analytics requirements; the main challenges: technological, collaborative and educational and; potential solutions. (paper)

Global fluctuation spectra in big-crunch-big-bang string vacua

International Nuclear Information System (INIS)

Craps, Ben; Ovrut, Burt A.

2004-01-01

We study big-crunch-big-bang cosmologies that correspond to exact world-sheet superconformal field theories of type II strings. The string theory spacetime contains a big crunch and a big bang cosmology, as well as additional 'whisker' asymptotic and intermediate regions. Within the context of free string theory, we compute, unambiguously, the scalar fluctuation spectrum in all regions of spacetime. Generically, the big crunch fluctuation spectrum is altered while passing through the bounce singularity. The change in the spectrum is characterized by a function Δ, which is momentum and time dependent. We compute Δ explicitly and demonstrate that it arises from the whisker regions. The whiskers are also shown to lead to 'entanglement' entropy in the big bang region. Finally, in the Milne orbifold limit of our superconformal vacua, we show that Δ→1 and, hence, the fluctuation spectrum is unaltered by the big-crunch-big-bang singularity. We comment on, but do not attempt to resolve, subtleties related to gravitational back reaction and light winding modes when interactions are taken into account

Towards Geo-spatial Information Science in Big Data Era

Directory of Open Access Journals (Sweden)

LI Deren

2016-04-01

Full Text Available Since the 1990s, with the advent of worldwide information revolution and the development of internet, geospatial information science have also come of age, which pushed forward the building of digital Earth and cyber city. As we entered the 21st century, with the development and integration of global information technology and industrialization, internet of things and cloud computing came into being, human society enters into the big data era. This article covers the key features (ubiquitous, multi-dimension and dynamics, internet+networking, full automation and real-time, from sensing to recognition, crowdsourcing and VGI, and service-oriented of geospatial information science in the big data era and addresses the key technical issues (non-linear four dimensional Earth reference frame system, space based enhanced GNSS, space-air and land unified network communication techniques, on board processing techniques for multi-sources image data, smart interface service techniques for space-borne information, space based resource scheduling and network security, design and developing of a payloads based multi-functional satellite platform. That needs to be resolved to provide a new definition of geospatial information science in big data era. Based on the discussion in this paper, the author finally proposes a new definition of geospatial information science (geomatics, i.e. Geomatics is a multiple discipline science and technology which, using a systematic approach, integrates all the means for spatio-temporal data acquisition, information extraction, networked management, knowledge discovering, spatial sensing and recognition, as well as intelligent location based services of any physical objects and human activities around the earth and its environment. Starting from this new definition, geospatial information science will get much more chances and find much more tasks in big data era for generation of smart earth and smart city . Our profession

Characterizing Energy per Job in Cloud Applications

Directory of Open Access Journals (Sweden)

Thi Thao Nguyen Ho

2016-12-01

Full Text Available Energy efficiency is a major research focus in sustainable development and is becoming even more critical in information technology (IT with the introduction of new technologies, such as cloud computing and big data, that attract more business users and generate more data to be processed. While many proposals have been presented to optimize power consumption at a system level, the increasing heterogeneity of current workloads requires a finer analysis in the application level to enable adaptive behaviors and in order to reduce the global energy usage. In this work, we focus on batch applications running on virtual machines in the context of data centers. We analyze the application characteristics, model their energy consumption and quantify the energy per job. The analysis focuses on evaluating the efficiency of applications in terms of performance and energy consumed per job, in particular when shared resources are used and the hosts on which the virtual machines are running are heterogeneous in terms of energy profiles, with the aim of identifying the best combinations in the use of resources.

Job-Structure and Job-Related Information

OpenAIRE

川上, 善郎

1981-01-01

The requirements of job-related information in many domain, such as personnel selection, placement, training, personnel appraisal, job evaluation, job design etc, have developed many techniques of job analysis.In this paper, several approaches to analyze the job characteristics are reviewed; (a) conventional approach, (b) worker-oriented approach, and (c) perceived job characteristics approach.In addition, new direction of job-related information is discussed.

Big Argumentation?

Directory of Open Access Journals (Sweden)

Daniel Faltesek

2013-08-01

Full Text Available Big Data is nothing new. Public concern regarding the mass diffusion of data has appeared repeatedly with computing innovations, in the formation before Big Data it was most recently referred to as the information explosion. In this essay, I argue that the appeal of Big Data is not a function of computational power, but of a synergistic relationship between aesthetic order and a politics evacuated of a meaningful public deliberation. Understanding, and challenging, Big Data requires an attention to the aesthetics of data visualization and the ways in which those aesthetics would seem to depoliticize information. The conclusion proposes an alternative argumentative aesthetic as the appropriate response to the depoliticization posed by the popular imaginary of Big Data.

Inbound Call Centers and Emotional Dissonance in the Job Demands – Resources Model

Directory of Open Access Journals (Sweden)

Monica Molino

2016-07-01

Full Text Available Background: Emotional labor, defined as the process of regulating feelings and expressions as part of the work role, is a major characteristic in call centers. In particular, interacting with customers, agents are required to show certain emotions that are considered acceptable by the organization, even though these emotions may be different from their true feelings. This kind of experience is defined as emotional dissonance and represents a feature of the job especially for call center inbound activities. Aim: The present study was aimed at investigating whether emotional dissonance mediates the relationship between job demands (workload and customer verbal aggression and job resources (supervisor support, colleague support and job autonomy on the one hand, and, on the other, affective discomfort, using the job demands-resources model as a framework. The study also observed differences between two different types of inbound activities: customer assistance service and information service.Method: The study involved agents of an Italian Telecommunication Company, 352 of whom worked in the customer assistance service and 179 in the information service. The hypothesized model was tested across the two groups through multi-group structural equation modeling.Results: Analyses showed that customer assistance service agents experience greater customer verbal aggression and emotional dissonance than information service agents. Results also showed, only for the customer assistance service group, a full mediation of emotional dissonance between workload and affective discomfort, and a partial mediation of customer verbal aggression and job autonomy, and affective discomfort.Conclusion: This study’s findings contributed both to the emotional labor literature, investigating the mediational role of emotional dissonance in the job demands-resources model, and to call center literature, considering differences between two specific kinds of inbound activities

[Applications of eco-environmental big data: Progress and prospect].

Science.gov (United States)

Zhao, Miao Miao; Zhao, Shi Cheng; Zhang, Li Yun; Zhao, Fen; Shao, Rui; Liu, Li Xiang; Zhao, Hai Feng; Xu, Ming

2017-05-18

With the advance of internet and wireless communication technology, the fields of ecology and environment have entered a new digital era with the amount of data growing explosively and big data technologies attracting more and more attention. The eco-environmental big data is based airborne and space-/land-based observations of ecological and environmental factors and its ultimate goal is to integrate multi-source and multi-scale data for information mining by taking advantages of cloud computation, artificial intelligence, and modeling technologies. In comparison with other fields, the eco-environmental big data has its own characteristics, such as diverse data formats and sources, data collected with various protocols and standards, and serving different clients and organizations with special requirements. Big data technology has been applied worldwide in ecological and environmental fields including global climate prediction, ecological network observation and modeling, and regional air pollution control. The development of eco-environmental big data in China is facing many problems, such as data sharing issues, outdated monitoring facilities and techno-logies, and insufficient data mining capacity. Despite all this, big data technology is critical to solving eco-environmental problems, improving prediction and warning accuracy on eco-environmental catastrophes, and boosting scientific research in the field in China. We expected that the eco-environmental big data would contribute significantly to policy making and environmental services and management, and thus the sustainable development and eco-civilization construction in China in the coming decades.

The Influence of Sex, Marital Status, and Tenure of Service on Job ...

African Journals Online (AJOL)

Toshiba

The study examined some demographic factors that interact to influencing the ... England (1967) were employed to assess job stress and satisfaction respectively. ... existing literature on the influence of demographic variables on job satisfaction. ... satisfaction has become a critical challenge to all health care organizations.

25 CFR 26.32 - What constitutes a complete Job Training Program application?

Science.gov (United States)

2010-04-01

... 25 Indians 1 2010-04-01 2010-04-01 false What constitutes a complete Job Training Program... JOB PLACEMENT AND TRAINING PROGRAM Training Services § 26.32 What constitutes a complete Job Training Program application? A request for training includes: (a) Intake and application data; (b) Feasible...

Relationship between work-family balance and job satisfaction among employees in China: A moderated mediation model.

Science.gov (United States)

Yu, Yue; Wang, Yuchen; Zhang, Jianxin

2017-09-01

Previous studies have revealed the association between work-family balance and job satisfaction. The present research further explored the underlying mechanism of this association and aimed to provide a moderated mediation model to explain if personality traits moderate the relationship between work-family balance and job satisfaction through work engagement. A cross-sectional study was conducted in which 263 employees from a petrochemical enterprise in China completed self-report questionnaires including the Work-Family Balance Scale, the Utrecht Work Engagement Scale, the Big Five Inventory-10, and the Job Satisfaction Scale. Hierarchical regression analysis and structural equation modeling showed that work engagement partially mediated the relationship between work-family balance and job satisfaction, and the indirect effect was further moderated only by extraversion. Therefore, an integrative moderated mediation model was proposed wherein work-family balance boosts job satisfaction by first enhancing employees' work engagement, while the indirect effect was in turn moderated by extraversion. The results suggest that interventions for improving job satisfaction may be enhanced by targeting work engagement, especially for employees with higher extraversion. © 2017 The Institute of Psychology, Chinese Academy of Sciences and John Wiley & Sons Australia, Ltd.

Factors that influence nurses' job satisfaction.

Science.gov (United States)

Ma, Chen-Chung; Samuels, Michael E; Alexander, Judith W

2003-05-01

To examine factors affecting the job satisfaction of registered nurses (RNs). A growing recognition of job dissatisfaction among RNs in South Carolina hospitals has contributed to current problems with recruitment and retention. If administrators identify factors influencing RNs' job satisfaction in hospitals and implement strategies to address these factors, RN turnover rates will decrease and recruiting and retention rates will increase. A cross-sectional study of secondary data was designed to identify the individual, work, and geographic factors that impact nursing job satisfaction at the state level. A 27-question self-administered survey was sent to 17,500 RNs in South Carolina with postage-paid envelopes for their responses. Surveys from 3472 nurses were completed anonymously. Univariate statistics were used to describe the study sample. One-way and multivariable Analysis of Variance were used to determine which variables contributed the most to job satisfaction. For about two thirds of the RNs, job satisfaction remained the same or had lessened over the past 2 years. In addition, statistically significant differences were found between job satisfaction and years of service, job position, hospital retirement plan, and geographic area. The findings have implications for nurse managers and hospital administrators for planning and implementing effective health policies that will meet the unique needs of their staffs and organizations. Such research is particularly relevant in this difficult time of nursing shortages throughout the healthcare industry.

Solving the Selective Multi-Category Parallel-Servicing Problem

DEFF Research Database (Denmark)

Range, Troels Martin; Lusby, Richard Martin; Larsen, Jesper

In this paper we present a new scheduling problem and describe a shortest path based heuristic as well as a dynamic programming based exact optimization algorithm to solve it. The Selective Multi-Category Parallel-Servicing Problem (SMCPSP) arises when a set of jobs has to be scheduled on a server...... (machine) with limited capacity. Each job requests service in a prespecified time window and belongs to a certain category. Jobs may be serviced partially, incurring a penalty; however, only jobs of the same category can be processed simultaneously. One must identify the best subset of jobs to process...

Solving the selective multi-category parallel-servicing problem

DEFF Research Database (Denmark)

Range, Troels Martin; Lusby, Richard Martin; Larsen, Jesper

2015-01-01

In this paper, we present a new scheduling problem and describe a shortest path-based heuristic as well as a dynamic programming-based exact optimization algorithm to solve it. The selective multi-category parallel-servicing problem arises when a set of jobs has to be scheduled on a server (machine......) with limited capacity. Each job requests service in a prespecified time window and belongs to a certain category. Jobs may be serviced partially, incurring a penalty; however, only jobs of the same category can be processed simultaneously. One must identify the best subset of jobs to process in each time...

Bioinformatics clouds for big data manipulation

Directory of Open Access Journals (Sweden)

Dai Lin

2012-11-01

Full Text Available Abstract As advances in life sciences and information technology bring profound influences on bioinformatics due to its interdisciplinary nature, bioinformatics is experiencing a new leap-forward from in-house computing infrastructure into utility-supplied cloud computing delivered over the Internet, in order to handle the vast quantities of biological data generated by high-throughput experimental technologies. Albeit relatively new, cloud computing promises to address big data storage and analysis issues in the bioinformatics field. Here we review extant cloud-based services in bioinformatics, classify them into Data as a Service (DaaS, Software as a Service (SaaS, Platform as a Service (PaaS, and Infrastructure as a Service (IaaS, and present our perspectives on the adoption of cloud computing in bioinformatics. Reviewers This article was reviewed by Frank Eisenhaber, Igor Zhulin, and Sandor Pongor.

Bioinformatics clouds for big data manipulation

KAUST Repository

Dai, Lin

2012-11-28

As advances in life sciences and information technology bring profound influences on bioinformatics due to its interdisciplinary nature, bioinformatics is experiencing a new leap-forward from in-house computing infrastructure into utility-supplied cloud computing delivered over the Internet, in order to handle the vast quantities of biological data generated by high-throughput experimental technologies. Albeit relatively new, cloud computing promises to address big data storage and analysis issues in the bioinformatics field. Here we review extant cloud-based services in bioinformatics, classify them into Data as a Service (DaaS), Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS), and present our perspectives on the adoption of cloud computing in bioinformatics.This article was reviewed by Frank Eisenhaber, Igor Zhulin, and Sandor Pongor. 2012 Dai et al.; licensee BioMed Central Ltd.

Climate Analytics-As-a-Service (CAaas), Advanced Information Systems, and Services to Accelerate the Climate Sciences.

Science.gov (United States)

McInerney, M.; Schnase, J. L.; Duffy, D.; Tamkin, G.; Nadeau, D.; Strong, S.; Thompson, J. H.; Sinno, S.; Lazar, D.

2014-12-01

The climate sciences represent a big data domain that is experiencing unprecedented growth. In our efforts to address the big data challenges of climate science, we are moving toward a notion of Climate Analytics-as-a-Service (CAaaS). We focus on analytics, because it is the knowledge gained from our interactions with big data that ultimately product societal benefits. We focus on CAaaS because we believe it provides a useful way of thinking about the problem: a specialization of the concept of business process-as-a-service, which is an evolving extension of IaaS, PaaS, and SaaS enabled by cloud computing. Within this framework, cloud computing plays an important role; however, we see it as only one element in a constellation of capabilities that are essential to delivering climate analytics-as-a-service. These elements are essential because in the aggregate they lead to generativity, a capacity for self-assembly that we feel is the key to solving many of the big data challenges in this domain. This poster will highlight specific examples of CAaaS using climate reanalysis data, high-performance cloud computing, map reduce, and the Climate Data Services API.

Job insecurity , work-based support, job satisfaction, organisational commitment and general health of human resources professionals in a chemical industry / by Florence Nomhlangano Rani

OpenAIRE

Rani, Nomhlangano Florence

2005-01-01

The work environment in which South African employees have to function is highly demanding, offering them little in terms of job security, but simultaneously expecting them to give more in terms of inter alia flexibility, competency, and effort. Tracking and addressing chemical industry employees' functioning in areas that could affect their general health and consequent standard of service is essential. Job insecurity, work-based support, job satisfaction, organisational commitment and gener...

IDENTIFYING AND ANALYZING THE TRANSIENT AND PERMANENT BARRIERS FOR BIG DATA

OpenAIRE

SARFRAZ NAWAZ BROHI; MERVAT ADIB BAMIAH; MUHAMMAD NAWAZ BROHI

2016-01-01

Auspiciously, big data analytics had made it possible to generate value from immense amounts of raw data. Organizations are able to seek incredible insights which assist them in effective decision making and providing quality of service by establishing innovative strategies to recognize, examine and address the customers’ preferences. However, organizations are reluctant to adopt big data solutions due to several barriers such as data storage and transfer, scalability, data quality, data c...

Virtual reality job interview training for individuals with psychiatric disabilities.

Science.gov (United States)

Smith, Matthew J; Ginger, Emily J; Wright, Michael; Wright, Katherine; Boteler Humm, Laura; Olsen, Dale; Bell, Morris D; Fleming, Michael F

2014-09-01

Services are available to help support existing employment for individuals with psychiatric disabilities; however, there is a gap in services targeting job interview skills that can help obtain employment. We assessed the feasibility and efficacy of Virtual Reality Job Interview Training (VR-JIT) in a randomized controlled trial. Participants were randomized to VR-JIT (n = 25) or treatment-as-usual (TAU) (n = 12) groups. VR-JIT consisted of 10 hours of simulated job interviews with a virtual character and didactic online training. The participants attended 95% of laboratory-based training sessions and found VR-JIT easy to use and felt prepared for future interviews. The VR-JIT group improved their job interview role-play performance (p ≤ 0.05) and self-confidence (p ≤ 0.05) between baseline and follow-up as compared with the TAU group. VR-JIT performance scores increased over time (R = 0.65). VR-JIT demonstrated initial feasibility and efficacy at improving job interview skills and self-confidence. Future research may help clarify whether this intervention is efficacious in community-based settings.

ANALISIS PENGARUH THE BIG FIVE PERSONALITY TERHADAP ORGANIZATIONAL CITIZENSHIP BEHAVIOR (OCB DAN KINERJA PERAWAT DI RS SANTA CLARA MADIUN

Directory of Open Access Journals (Sweden)

Desi Natalia Soepono

2017-04-01

Full Text Available Nurse performance shows the magnitude of the contribution made by nurses to hospital and reflects the performance of a hospital because patient will often relates and meets the nurse. One factor that affect the nurses performance is organizational citizenship behavior (OCB. OCB is extra-role behavior that nurses are willing to do tasks outside of their job discription and the big five personality is one of the factors that significantly influence the OCB. This study aims to examine the direct and indirect influence of the big five personality to the performance of nurses at Santa Clara Madiun Hospital through OCB as intervening variable. The sampel of this research were all nurses at Santa Clara Madiun Hospital. Data collection instruments using questionnaires. Data analysis techniques in this study included descriptive statistics, test data quality, classical assumption, hierarchical regression analysis, and path analysis using SPSS 17.0. The result showed that the big five personality significant positive effect on nurses performance, the big five personality significant positive effect on OCB, and OCB significant positive effect on the nurses performance. OCB has a full mediation effect to influence of the big five personality to the nurses performance

The Changing Nature of Jobs: A Paraprofessional Time Series.

Science.gov (United States)

Johnson, Carol P.

1996-01-01

This study examined job descriptions (1975, 1981, 1990) of three paraprofessional jobs in an academic library technical services department at a small, private liberal arts college to determine changes occurring as a result of automation. It found no significant differences. Although changes were more idiosyncratic than expected, they may indicate…

Domestic supply, job-specialisation and sex-differences in pay

OpenAIRE

Polavieja, Javier G.

2008-01-01

This paper proposes an explanation of sex-differences in job-allocation and pay. Job allocation calculations are considered to be related to 1) the distribution of housework and 2) the skill-specialization requirements of jobs. Both elements combined generate a particular incentive structure for each sex. Welfare policies and services can, however, lower the risks of skill-depreciation for women as well as increase their intra-household bargaining power, hence reducing the economic pay-offs o...

Big data

DEFF Research Database (Denmark)

Madsen, Anders Koed; Flyverbom, Mikkel; Hilbert, Martin

2016-01-01

is to outline a research agenda that can be used to raise a broader set of sociological and practice-oriented questions about the increasing datafication of international relations and politics. First, it proposes a way of conceptualizing big data that is broad enough to open fruitful investigations......The claim that big data can revolutionize strategy and governance in the context of international relations is increasingly hard to ignore. Scholars of international political sociology have mainly discussed this development through the themes of security and surveillance. The aim of this paper...... into the emerging use of big data in these contexts. This conceptualization includes the identification of three moments contained in any big data practice. Second, it suggests a research agenda built around a set of subthemes that each deserve dedicated scrutiny when studying the interplay between big data...

Paper-and-Pencil and Web-Based Testing: The Measurement Invariance of the Big Five Personality Tests in Applied Settings

Science.gov (United States)

Vecchione, Michele; Alessandri, Guido; Barbaranelli, Claudio

2012-01-01

This study investigates the measurement equivalence of a five-factor measure of personality across two groups applying for jobs, who completed the same questionnaire using either a paper-and-pencil (n = 429) or a web online answer format (n = 651). The data were collected using the Big Five Questionnaire-2 (BFQ-2; which is a measure of the Five…

Job Creation and Job Types

DEFF Research Database (Denmark)

Kuhn, Johan Moritz; Malchow-Møller, Nikolaj; Sørensen, Anders

2016-01-01

We extend earlier analyses of the job creation of start-ups versus established firms by considering the educational content of the jobs created and destroyed. We define education-specific measures of job creation and job destruction at the firm level, and we use these measures to construct a meas...

Job Creation and Job Types

DEFF Research Database (Denmark)

Kuhn, Johan M.; Malchow-Møller, Nikolaj; Sørensen, Anders

We extend earlier analyses of the job creation of start-ups vs. established firms by taking into consideration the educational content of the jobs created and destroyed. We define educationspecific measures of job creation and job destruction at the firm level, and we use these to construct a mea...

Big data computing

CERN Document Server

Akerkar, Rajendra

2013-01-01

Due to market forces and technological evolution, Big Data computing is developing at an increasing rate. A wide variety of novel approaches and tools have emerged to tackle the challenges of Big Data, creating both more opportunities and more challenges for students and professionals in the field of data computation and analysis. Presenting a mix of industry cases and theory, Big Data Computing discusses the technical and practical issues related to Big Data in intelligent information management. Emphasizing the adoption and diffusion of Big Data tools and technologies in industry, the book i

Job satisfaction survey among health centers staff.

Science.gov (United States)

Shahnazi, Hossein; Daniali, Seyede Shahrbanoo; Sharifirad, Gholamreza

2014-01-01

Due to the importance of health care organizations with significant responsibility for prevention and care, assessment of job satisfaction among health care staff is essential. Quality of health services will be decreased provided they are not satisfied. This study was a cross-sectional analysis of health care staff in Khomeinishahr (centers, buildings, and networks) If they had at least 6 months work experience, they could enter the study. Data included a two-part questionnaire with a standardized questionnaire, demographic variables, and Smith job descriptive index, which is a questionnaire with six domains. Reliability was obtained for each domain and its validity was reported 0.93. The results showed an overall satisfaction score averages 43.55 ± 12.8 (from 100). Job satisfaction score was not significantly different between the sexes. However, within the current attitude toward job satisfaction, men scores was better than women (P = 0.001). Highest score in job satisfaction was related to relationships with colleagues and lowest score was related to the income, benefits, and job promotion. The more the years of work, the less the job satisfaction was. The attitude toward the current job had a direct relationship with income (P = 0.01). There was a significant inverse relationship between educational level and job satisfaction in domains promotion, income, and benefits (P = 0.01). The staff with higher education levels was less satisfied with income and job promotion qualification. Managers should focus on job qualification to increase job satisfaction and improve the quality of work.

[Application of job demands-resources model in research on relationships between job satisfaction, job resources, individual resources and job demands].

Science.gov (United States)

Potocka, Adrianna; Waszkowska, Małgorzata

2013-01-01

The aim of this study was to explore the relationships between job demands, job resourses, personal resourses and job satisfaction and to assess the usefulness of the Job Demands-Resources (JD-R) model in the explanation of these phenomena. The research was based on a sample of 500 social workers. The "Psychosocial Factors" and "Job satisfaction" questionnaires were used to test the hypothesis. The results showed that job satisfaction increased with increasing job accessibility and personal resources (r = 0.44; r = 0.31; p job resources and job demands [F(1.474) = 4.004; F(1.474) = 4.166; p job satisfaction. Moreover, interactions between job demands and job resources [F(3,474) = 2.748; p job demands and personal resources [F(3.474) = 3.021; p job satisfaction. The post hoc tests showed that 1) in low job demands, but high job resources employees declared higher job satisfaction, than those who perceived them as medium (p = 0.0001) or low (p = 0.0157); 2) when the level of job demands was perceived as medium, employees with high personal resources declared significantly higher job satisfaction than those with low personal resources (p = 0.0001). The JD-R model can be used to investigate job satisfaction. Taking into account fundamental factors of this model, in organizational management there are possibilities of shaping job satisfaction among employees.

Performance Analysis Tool for HPC and Big Data Applications on Scientific Clusters

Energy Technology Data Exchange (ETDEWEB)

Yoo, Wucherl [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Koo, Michelle [Univ. of California, Berkeley, CA (United States); Cao, Yu [California Inst. of Technology (CalTech), Pasadena, CA (United States); Sim, Alex [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Nugent, Peter [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Univ. of California, Berkeley, CA (United States); Wu, Kesheng [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

2016-09-17

Big data is prevalent in HPC computing. Many HPC projects rely on complex workflows to analyze terabytes or petabytes of data. These workflows often require running over thousands of CPU cores and performing simultaneous data accesses, data movements, and computation. It is challenging to analyze the performance involving terabytes or petabytes of workflow data or measurement data of the executions, from complex workflows over a large number of nodes and multiple parallel task executions. To help identify performance bottlenecks or debug the performance issues in large-scale scientific applications and scientific clusters, we have developed a performance analysis framework, using state-ofthe- art open-source big data processing tools. Our tool can ingest system logs and application performance measurements to extract key performance features, and apply the most sophisticated statistical tools and data mining methods on the performance data. It utilizes an efficient data processing engine to allow users to interactively analyze a large amount of different types of logs and measurements. To illustrate the functionality of the big data analysis framework, we conduct case studies on the workflows from an astronomy project known as the Palomar Transient Factory (PTF) and the job logs from the genome analysis scientific cluster. Our study processed many terabytes of system logs and application performance measurements collected on the HPC systems at NERSC. The implementation of our tool is generic enough to be used for analyzing the performance of other HPC systems and Big Data workows.

25 CFR 26.30 - Does the Job Training Program provide part-time training or short-term training?

Science.gov (United States)

2010-04-01

... 25 Indians 1 2010-04-01 2010-04-01 false Does the Job Training Program provide part-time training or short-term training? 26.30 Section 26.30 Indians BUREAU OF INDIAN AFFAIRS, DEPARTMENT OF THE INTERIOR HUMAN SERVICES JOB PLACEMENT AND TRAINING PROGRAM Training Services § 26.30 Does the Job Training...

From big bang to big crunch and beyond

International Nuclear Information System (INIS)

Elitzur, Shmuel; Rabinovici, Eliezer; Giveon, Amit; Kutasov, David

2002-01-01

We study a quotient Conformal Field Theory, which describes a 3+1 dimensional cosmological spacetime. Part of this spacetime is the Nappi-Witten (NW) universe, which starts at a 'big bang' singularity, expands and then contracts to a 'big crunch' singularity at a finite time. The gauged WZW model contains a number of copies of the NW spacetime, with each copy connected to the preceding one and to the next one at the respective big bang/big crunch singularities. The sequence of NW spacetimes is further connected at the singularities to a series of non-compact static regions with closed timelike curves. These regions contain boundaries, on which the observables of the theory live. This suggests a holographic interpretation of the physics. (author)

BIG data - BIG gains? Empirical evidence on the link between big data analytics and innovation

OpenAIRE

Niebel, Thomas; Rasel, Fabienne; Viete, Steffen

2017-01-01

This paper analyzes the relationship between firms’ use of big data analytics and their innovative performance in terms of product innovations. Since big data technologies provide new data information practices, they create novel decision-making possibilities, which are widely believed to support firms’ innovation process. Applying German firm-level data within a knowledge production function framework we find suggestive evidence that big data analytics is a relevant determinant for the likel...

The Effects of Employees’ Individual Characteristics on Job Satisfaction: A Public Bank Case

Directory of Open Access Journals (Sweden)

Mehmet Merve Özaydın

2014-03-01

Full Text Available The raising importance of rivalry between the employees in the relations of producti on nowadays, makes the adaptation between worker and work more substantial. The job satisfaction which expresses the employee’s contentment about his/her job becomes a target for the employee and also for the firm based on the provided material/ moral satiety. In the services sector which consists of human resources as itsmost leading and determinant input, building a relationship between the specialties of work and intelligence, skills and abilities of workers depending on job satisfaction is decisive for individual and organizational success also. In the banking sector which is a crucial member of services sector because of the dimensions of the usage of high technology, the need of quality services production and the competition, satisfaction of employees becomes significant. This study aims to investigate the effects of individual factors (age, gender, marital status, education level, operating status of branch/operating status of head office, title, service time, the existence or nonexistence of other bankers in the family, expectations for the future on job satisfaction. In the consequence of a field work about a public bank, it’s found out that the level of bank personnel’s job satisfaction is changed by the effect of individual factors.

Big Data Goes Personal: Privacy and Social Challenges

Science.gov (United States)

Bonomi, Luca

2015-01-01

The Big Data phenomenon is posing new challenges in our modern society. In addition to requiring information systems to effectively manage high-dimensional and complex data, the privacy and social implications associated with the data collection, data analytics, and service requirements create new important research problems. First, the high…

PENGARUH CARING CLIMATE TERHADAP JOB SATISFACTION DAN AFFECTIVE COMMITMENT YANG BERDAMPAK PADA JOB PERFORMANCE KARYAWAN RESTORAN STEAK DI JAKARTA SELATAN

Directory of Open Access Journals (Sweden)

Aginta Chairunnisa Sinulingga

2018-03-01

Full Text Available The aim of this research is to exmaining the effects of caring climate, job satisfaction, and affective commitment on job performance in steak restaurant in Tebet, South Jakarta. This study were developed and tested 5 hypotheses, by using Structural Equation Model. Data were collected from 145 employees working on the food, beverage, hygiene, security, service and cashier in steak restaurant in Tebet, South Jakarta. Finding and contribution in this research shown that there is positive and significant effect of caring climate on job satisfaction and affective commitment that effect on job performance. The limitationin in this research was that this study focused only on restaurant as a hospitality industry, only at steak restaurant in Tebet, South Jakarta, and was limited for only four variables.

Big Data Analytics Platforms analyze from startups to traditional database players

Directory of Open Access Journals (Sweden)

Ionut TARANU

2015-07-01

Full Text Available Big data analytics enables organizations to analyze a mix of structured, semi-structured and unstructured data in search of valuable business information and insights. The analytical findings can lead to more effective marketing, new revenue opportunities, better customer service, improved operational efficiency, competitive advantages over rival organizations and other business benefits. With so many emerging trends around big data and analytics, IT organizations need to create conditions that will allow analysts and data scientists to experiment. "You need a way to evaluate, prototype and eventually integrate some of these technologies into the business," says Chris Curran[1]. In this paper we are going to review 10 Top Big Data Analytics Platforms and compare the key-features.

Relational energy at work: Implications for job engagement and job performance.

Science.gov (United States)

Owens, Bradley P; Baker, Wayne E; Sumpter, Dana McDaniel; Cameron, Kim S

2016-01-01

Energy is emerging as a topic of importance to organizations, yet we have little understanding of how energy can be useful at an interpersonal level toward achieving workplace goals. We present the results of 4 studies aimed at developing, validating, and testing the relational energy construct. In Study 1, we report qualitative insights from 64 individuals about the experience and functioning of relational energy in the workplace. Study 2 draws from 3 employee samples to conduct exploratory and confirmatory factor analyses on a measure of relational energy, differentiating relational energy from related constructs. To test the predictive validity of the new relational energy scale, Study 3 comprises data from employees rating the level of relational energy they experienced during interactions with their leaders in a health services context. Results showed that relational energy employees experienced with their leaders at Time 1 predicted job engagement at Time 2 (1 month later), while controlling for the competing construct of perceived social support. Study 4 shows further differentiation of relational energy from leader-member exchange (LMX), replicates the positive relationship between relational energy (Time 1) and job engagement (Time 2), and shows that relational energy is positively associated with employee job performance (Time 3) through the mechanism of job engagement. We discuss the theoretical implications of our findings and highlight areas for future research. (c) 2016 APA, all rights reserved).

77 FR 5628 - Requested Administrative Waiver of the Coastwise Trade Laws: Vessel BIG GAME; Invitation for...

Science.gov (United States)

2012-02-03

... Administrative Waiver of the Coastwise Trade Laws: Vessel BIG GAME; Invitation for Public Comments AGENCY....gov . SUPPLEMENTARY INFORMATION: As described by the applicant the intended service of the vessel BIG GAME is: Intended Commercial Use of Vessel: ``Fishing charter boat.'' Geographic Region: ``Rhode Island...

Reducing Racial Disparities in Breast Cancer Care: The Role of 'Big Data'.

Science.gov (United States)

Reeder-Hayes, Katherine E; Troester, Melissa A; Meyer, Anne-Marie

2017-10-15

Advances in a wide array of scientific technologies have brought data of unprecedented volume and complexity into the oncology research space. These novel big data resources are applied across a variety of contexts-from health services research using data from insurance claims, cancer registries, and electronic health records, to deeper and broader genomic characterizations of disease. Several forms of big data show promise for improving our understanding of racial disparities in breast cancer, and for powering more intelligent and far-reaching interventions to close the racial gap in breast cancer survival. In this article we introduce several major types of big data used in breast cancer disparities research, highlight important findings to date, and discuss how big data may transform breast cancer disparities research in ways that lead to meaningful, lifesaving changes in breast cancer screening and treatment. We also discuss key challenges that may hinder progress in using big data for cancer disparities research and quality improvement.

Big data integration: scalability and sustainability

KAUST Repository

Zhang, Zhang

2016-01-26

Integration of various types of omics data is critically indispensable for addressing most important and complex biological questions. In the era of big data, however, data integration becomes increasingly tedious, time-consuming and expensive, posing a significant obstacle to fully exploit the wealth of big biological data. Here we propose a scalable and sustainable architecture that integrates big omics data through community-contributed modules. Community modules are contributed and maintained by different committed groups and each module corresponds to a specific data type, deals with data collection, processing and visualization, and delivers data on-demand via web services. Based on this community-based architecture, we build Information Commons for Rice (IC4R; http://ic4r.org), a rice knowledgebase that integrates a variety of rice omics data from multiple community modules, including genome-wide expression profiles derived entirely from RNA-Seq data, resequencing-based genomic variations obtained from re-sequencing data of thousands of rice varieties, plant homologous genes covering multiple diverse plant species, post-translational modifications, rice-related literatures, and community annotations. Taken together, such architecture achieves integration of different types of data from multiple community-contributed modules and accordingly features scalable, sustainable and collaborative integration of big data as well as low costs for database update and maintenance, thus helpful for building IC4R into a comprehensive knowledgebase covering all aspects of rice data and beneficial for both basic and translational researches.

Job Change: A Practitioner's View.

Science.gov (United States)

Lenz, Janet G.; Reardon, Robert C.

1990-01-01

Suggests ways that career counselors can use Loughead and Black's "job change thermostat" in working with clients. Program and policy issues include service delivery settings, crisis-oriented versus long-term client needs, individual versus group approaches, staff competence, and availability of resources. (34 references) (SK)

The impact of job crafting on job demands, job resources, and well-being.

Science.gov (United States)

Tims, Maria; Bakker, Arnold B; Derks, Daantje

2013-04-01

This longitudinal study examined whether employees can impact their own well-being by crafting their job demands and resources. Based on the job demands-resources model, we hypothesized that employee job crafting would have an impact on work engagement, job satisfaction, and burnout through changes in job demands and job resources. Data was collected in a chemical plant at three time points with one month in between the measurement waves (N = 288). The results of structural equation modeling showed that employees who crafted their job resources in the first month of the study showed an increase in their structural and social resources over the course of the study (2 months). This increase in job resources was positively related to employee well-being (increased engagement and job satisfaction, and decreased burnout). Crafting job demands did not result in a change in job demands, but results revealed direct effects of crafting challenging demands on increases in well-being. We conclude that employee job crafting has a positive impact on well-being and that employees therefore should be offered opportunities to craft their own jobs.

IDENTIFYING AND ANALYZING THE TRANSIENT AND PERMANENT BARRIERS FOR BIG DATA

Directory of Open Access Journals (Sweden)

SARFRAZ NAWAZ BROHI

2016-12-01

Full Text Available Auspiciously, big data analytics had made it possible to generate value from immense amounts of raw data. Organizations are able to seek incredible insights which assist them in effective decision making and providing quality of service by establishing innovative strategies to recognize, examine and address the customers’ preferences. However, organizations are reluctant to adopt big data solutions due to several barriers such as data storage and transfer, scalability, data quality, data complexity, timeliness, security, privacy, trust, data ownership, and transparency. Despite the discussion on big data opportunities, in this paper, we present the findings of our in-depth review process that was focused on identifying as well as analyzing the transient and permanent barriers for adopting big data. Although, the transient barriers for big data can be eliminated in the near future with the advent of innovative technical contributions, however, it is challenging to eliminate the permanent barriers enduringly, though their impact could be recurrently reduced with the efficient and effective use of technology, standards, policies, and procedures.

Developing a Big Game for Financial Education Using Service Design Approach

Science.gov (United States)

Kang, Myunghee; Yoon, Seonghye; Kang, Minjeng; Jang, JeeEun; Lee, Yujung

2018-01-01

The purpose of this study was to design and develop an educational game which facilitates building adolescents' knowledge and attitudes in financial principles of a daily life. To achieve this purpose, the authors designed a learner-centered big game for financial education by applying an experience-based triple-diamond instructional design model…

Application of Job Demands-Resources model in research on relationships between job satisfaction, job resources, individual resources and job demands

Directory of Open Access Journals (Sweden)

Adrianna Potocka

2013-04-01

Full Text Available Background: The aim of this study was to explore the relationships between job demands, job resourses, personal resourses and job satisfaction and to assess the usefulness of the Job Demands-Resources (JD-R model in the explanation of these phenomena. Materials and Methods: The research was based on a sample of 500 social workers. The "Psychosocial Factors" and "Job satisfaction" questionnaires were used to test the hypothesis. Results: The results showed that job satisfaction increased with increasing job accessibility and personal resources (r = 0.44; r = 0.31; p < 0.05. The analysis of variance (ANOVA indicated that job resources and job demands [F(1.474 = 4.004; F(1.474 = 4.166; p < 0.05] were statistically significant sources of variation in job satisfaction. Moreover, interactions between job demands and job resources [F(3,474 = 2.748; p < 0.05], as well as between job demands and personal resources [F(3.474 = 3.021; p < 0.05] had a significant impact on job satisfaction. The post hoc tests showed that 1 in low job demands, but high job resources employees declared higher job satisfaction, than those who perceived them as medium (p = 0.0001 or low (p = 0.0157; 2 when the level of job demands was perceived as medium, employees with high personal resources declared significantly higher job satisfaction than those with low personal resources (p = 0.0001. Conclusion: The JD-R model can be used to investigate job satisfaction. Taking into account fundamental factors of this model, in organizational management there are possibilities of shaping job satisfaction among employees. Med Pr 2013;64(2:217–225

Job Satisfaction Among Gerontological Social Workers in Ontario, Canada.

Science.gov (United States)

Simons, Kelsey; An, Sofiya

2015-01-01

Little is known about job satisfaction among Canada's social work workforce in aging, although social workers remain a key component of interdisciplinary care in health and social service settings. This study begins to address this gap in knowledge by examining individual, interpersonal, and job-design factors influencing the job satisfaction of gerontological social workers in Ontario. Data were collected via two online surveys with a sample drawn from the Ontario Association of Social Workers' membership list (N = 104). A multiple regression model explained 37% of the variance in job satisfaction, F = 5.47[10, 93], p social work clinicians, and providing educational and clinical supports to clinicians.

Study of LBS for characterization and analysis of big data benchmarks

International Nuclear Information System (INIS)

Chandio, A.A.; Zhang, F.; Memon, T.D.

2014-01-01

In the past few years, most organizations are gradually diverting their applications and services to Cloud. This is because Cloud paradigm enables (a) on-demand accessed and (b) large data processing for their applications and users on Internet anywhere in the world. The rapid growth of urbanization in developed and developing countries leads a new emerging concept called Urban Computing, one of the application domains that is rapidly deployed to the Cloud. More precisely, in the concept of Urban Computing, sensors, vehicles, devices, buildings, and roads are used as a component to probe city dynamics. Their data representation is widely available including GPS traces of vehicles. However, their applications are more towards data processing and storage hungry, which is due to their data increment in large volume starts from few dozen of TB (Tera Bytes) to thousands of PT (Peta Bytes) (i.e. Big Data). To increase the development and the assessment of the applications such as LBS (Location Based Services), a benchmark of Big Data is urgently needed. This research is a novel research on LBS to characterize and analyze the Big Data benchmarks. We focused on map-matching, which is being used as pre-processing step in many LBS applications. In this preliminary work, this paper also describes current status of Big Data benchmarks and our future direction. (author)

Study on LBS for Characterization and Analysis of Big Data Benchmarks

Directory of Open Access Journals (Sweden)

Aftab Ahmed Chandio

2014-10-01

Full Text Available In the past few years, most organizations are gradually diverting their applications and services to Cloud. This is because Cloud paradigm enables (a on-demand accessed and (b large data processing for their applications and users on Internet anywhere in the world. The rapid growth of urbanization in developed and developing countries leads a new emerging concept called Urban Computing, one of the application domains that is rapidly deployed to the Cloud. More precisely, in the concept of Urban Computing, sensors, vehicles, devices, buildings, and roads are used as a component to probe city dynamics. Their data representation is widely available including GPS traces of vehicles. However, their applications are more towards data processing and storage hungry, which is due to their data increment in large volume starts from few dozen of TB (Tera Bytes to thousands of PT (Peta Bytes (i.e. Big Data. To increase the development and the assessment of the applications such as LBS (Location Based Services, a benchmark of Big Data is urgently needed. This research is a novel research on LBS to characterize and analyze the Big Data benchmarks. We focused on map-matching, which is being used as pre-processing step in many LBS applications. In this preliminary work, this paper also describes current status of Big Data benchmarks and our future direction

Urban Big Data and the Development of City Intelligence

Directory of Open Access Journals (Sweden)

Yunhe Pan

2016-06-01

Full Text Available This study provides a definition for urban big data while exploring its features and applications of China's city intelligence. The differences between city intelligence in China and the “smart city” concept in other countries are compared to highlight and contrast the unique definition and model for China's city intelligence in this paper. Furthermore, this paper examines the role of urban big data in city intelligence by showing that it not only serves as the cornerstone of this trend as it also plays a core role in the diffusion of city intelligence technology and serves as an inexhaustible resource for the sustained development of city intelligence. This study also points out the challenges of shaping and developing of China's urban big data. Considering the supporting and core role that urban big data plays in city intelligence, the study then expounds on the key points of urban big data, including infrastructure support, urban governance, public services, and economic and industrial development. Finally, this study points out that the utility of city intelligence as an ideal policy tool for advancing the goals of China's urban development. In conclusion, it is imperative that China make full use of its unique advantages—including using the nation's current state of development and resources, geographical advantages, and good human relations—in subjective and objective conditions to promote the development of city intelligence through the proper application of urban big data.

Inbound Call Centers and Emotional Dissonance in the Job Demands - Resources Model.

Science.gov (United States)

Molino, Monica; Emanuel, Federica; Zito, Margherita; Ghislieri, Chiara; Colombo, Lara; Cortese, Claudio G

2016-01-01

Emotional labor, defined as the process of regulating feelings and expressions as part of the work role, is a major characteristic in call centers. In particular, interacting with customers, agents are required to show certain emotions that are considered acceptable by the organization, even though these emotions may be different from their true feelings. This kind of experience is defined as emotional dissonance and represents a feature of the job especially for call center inbound activities. The present study was aimed at investigating whether emotional dissonance mediates the relationship between job demands (workload and customer verbal aggression) and job resources (supervisor support, colleague support, and job autonomy) on the one hand, and, on the other, affective discomfort, using the job demands-resources model as a framework. The study also observed differences between two different types of inbound activities: customer assistance service (CA) and information service. The study involved agents of an Italian Telecommunication Company, 352 of whom worked in the CA and 179 in the information service. The hypothesized model was tested across the two groups through multi-group structural equation modeling. Analyses showed that CA agents experience greater customer verbal aggression and emotional dissonance than information service agents. RESULTS also showed, only for the CA group, a full mediation of emotional dissonance between workload and affective discomfort, and a partial mediation of customer verbal aggression and job autonomy, and affective discomfort. This study's findings contributed both to the emotional labor literature, investigating the mediational role of emotional dissonance in the job demands-resources model, and to call center literature, considering differences between two specific kinds of inbound activities. Suggestions for organizations and practitioners emerged in order to identify practical implications useful both to support

The Effect of Aptitude and Experience on Mechanical Job Performance.

Science.gov (United States)

Mayberry, Paul W.; Carey, Neil B.

1997-01-01

The validity of the Armed Services Vocational Aptitude Battery (ASVAB) in predicting mechanical job performance was studied with 891 automotive and 522 helicopter mechanics. The mechanical maintenance component of the ASVAB predicted hands-on performance, job knowledge, and training grades quite well, but experience was more predictive of…

Understanding Big Data for Industrial Innovation and Design: The Missing Information Systems Perspective

Directory of Open Access Journals (Sweden)

Miguel Baptista Nunes

2017-12-01

Full Text Available This paper identifies a need to complement the current rich technical and mathematical research agenda on big data with a more information systems and information science strand, which focuses on the business value of big data. An agenda of research for information systems would explore motives for using big data in real organizational contexts, and consider proposed benefits, such as increased effectiveness and efficiency, production of high-quality products/services, creation of added business value, and stimulation of innovation and design. Impacts of such research on the academic community, the industrial and business world, and policy-makers are discussed.

Population and harvest trends of big game and small game species: a technical document supporting the USDA Forest Service Interim Update of the 2000 RPA Assessment

Science.gov (United States)

Curtis H. Flather; Michael S. Knowles; Stephen J. Brady

2009-01-01

This technical document supports the Forest Service's requirement to assess the status of renewable natural resources as mandated by the Forest and Rangeland Renewable Resources Planning Act of 1974 (RPA). It updates past reports on national and regional trends in population and harvest estimates for species classified as big game and small game. The trends...

Modelling job support, job fit, job role and job satisfaction for school of nursing sessional academic staff.

Science.gov (United States)

Cowin, Leanne S; Moroney, Robyn

2018-01-01

Sessional academic staff are an important part of nursing education. Increases in casualisation of the academic workforce continue and satisfaction with the job role is an important bench mark for quality curricula delivery and influences recruitment and retention. This study examined relations between four job constructs - organisation fit, organisation support, staff role and job satisfaction for Sessional Academic Staff at a School of Nursing by creating two path analysis models. A cross-sectional correlational survey design was utilised. Participants who were currently working as sessional or casual teaching staff members were invited to complete an online anonymous survey. The data represents a convenience sample of Sessional Academic Staff in 2016 at a large school of Nursing and Midwifery in Australia. After psychometric evaluation of each of the job construct measures in this study we utilised Structural Equation Modelling to better understand the relations of the variables. The measures used in this study were found to be both valid and reliable for this sample. Job support and job fit are positively linked to job satisfaction. Although the hypothesised model did not meet model fit standards, a new 'nested' model made substantive sense. This small study explored a new scale for measuring academic job role, and demonstrated how it promotes the constructs of job fit and job supports. All four job constructs are important in providing job satisfaction - an outcome that in turn supports staffing stability, retention, and motivation.

Impact of In-Service Training and Staff Development on Workers' Job Performance and Optimal Productivity in Public Secondary Schools in Osun State, Nigeria

Science.gov (United States)

Fejoh, Johnson; Faniran, Victoria Loveth

2016-01-01

This study investigated the impact of in-service training and staff development on workers' job performance and optimal productivity in public secondary schools in Osun State, Nigeria. The study used the ex-post-facto research design. Three research questions and three hypotheses were generated and tested using questionnaire items adapted from…

Big Data Challenges

Directory of Open Access Journals (Sweden)

Alexandru Adrian TOLE

2013-10-01

Full Text Available The amount of data that is traveling across the internet today, not only that is large, but is complex as well. Companies, institutions, healthcare system etc., all of them use piles of data which are further used for creating reports in order to ensure continuity regarding the services that they have to offer. The process behind the results that these entities requests represents a challenge for software developers and companies that provide IT infrastructure. The challenge is how to manipulate an impressive volume of data that has to be securely delivered through the internet and reach its destination intact. This paper treats the challenges that Big Data creates.

Profile of job coaches in supported employment

Directory of Open Access Journals (Sweden)

Esther MERCADO GARCÍA

2017-02-01

Full Text Available This study analyzes the figure of the job coach in various Supported Employment services in Spain. A quality-oriented study carried out, based on the case study. Twenty-three semi-structured interviews held with professionals, along with thirtysix participant observations at different stages of Supported Employment. The results show disparity in the profiles associated with various areas of knowledge, as well as a diversity of functions related to the roles performed by the job coach depending on the number of staff taken on. The most significant competencies combined with personal skills and communicative abilities. It recommended that employment programs improve vocational retraining programs to make up for training deficiencies and provide professional skills for intervention in each service.

Examining law enforcement officer job satisfaction and burnout through the lens of empowerment theory

OpenAIRE

Biggs, Bruce A

2016-01-01

This exploratory cross-sectional study examined the organizational factors that influence law enforcement officers’ perception of job stress and perception of job satisfaction. The extant literature is replete with the finding that organizational factors (job context) rather than the aspects of providing police service (job content) cause law enforcement officers the largest amount of stress and job dissatisfaction. However, the literature also shows that the exact organizational factors that...

Benchmarking Big Data Systems and the BigData Top100 List.

Science.gov (United States)

Baru, Chaitanya; Bhandarkar, Milind; Nambiar, Raghunath; Poess, Meikel; Rabl, Tilmann

2013-03-01

"Big data" has become a major force of innovation across enterprises of all sizes. New platforms with increasingly more features for managing big datasets are being announced almost on a weekly basis. Yet, there is currently a lack of any means of comparability among such platforms. While the performance of traditional database systems is well understood and measured by long-established institutions such as the Transaction Processing Performance Council (TCP), there is neither a clear definition of the performance of big data systems nor a generally agreed upon metric for comparing these systems. In this article, we describe a community-based effort for defining a big data benchmark. Over the past year, a Big Data Benchmarking Community has become established in order to fill this void. The effort focuses on defining an end-to-end application-layer benchmark for measuring the performance of big data applications, with the ability to easily adapt the benchmark specification to evolving challenges in the big data space. This article describes the efforts that have been undertaken thus far toward the definition of a BigData Top100 List. While highlighting the major technical as well as organizational challenges, through this article, we also solicit community input into this process.

34 CFR 361.53 - Comparable services and benefits.

Science.gov (United States)

2010-07-01

... this part. (4) Job-related services, including job search and placement assistance, job retention... employment outcome identified in the individualized plan for employment; (2) An immediate job placement; or...

Big data, big knowledge: big data for personalized healthcare.

Science.gov (United States)

Viceconti, Marco; Hunter, Peter; Hose, Rod

2015-07-01

The idea that the purely phenomenological knowledge that we can extract by analyzing large amounts of data can be useful in healthcare seems to contradict the desire of VPH researchers to build detailed mechanistic models for individual patients. But in practice no model is ever entirely phenomenological or entirely mechanistic. We propose in this position paper that big data analytics can be successfully combined with VPH technologies to produce robust and effective in silico medicine solutions. In order to do this, big data technologies must be further developed to cope with some specific requirements that emerge from this application. Such requirements are: working with sensitive data; analytics of complex and heterogeneous data spaces, including nontextual information; distributed data management under security and performance constraints; specialized analytics to integrate bioinformatics and systems biology information with clinical observations at tissue, organ and organisms scales; and specialized analytics to define the "physiological envelope" during the daily life of each patient. These domain-specific requirements suggest a need for targeted funding, in which big data technologies for in silico medicine becomes the research priority.

Transformational Leadership and its Relationship to Employee Job Motivation at the TACOM LCMC

Science.gov (United States)

2016-05-25

UNCLASSIFIED Transformational Leadership and its Relationship to Employee Job Motivation at the TACOM-LCMC...Service College Fellowship Transformational Leadership and its Relationship to Employee Job Motivation at the TACOM- LCMC ii UNCLASSIFIED...Approval Page Title: Transformational Leadership and its Relationship to Employee Job Motivation at the TACOM-LCMC Author: Craig Coger

INTEGRATING THE TRANSACTIONAL ANALYSIS AS AN ASSESSMENT TECHNIQUE TO THETRIANGLE OF PERSONALITY, JOB SATISFACTION AND ORGANIZATIONAL COMMITMENT

OpenAIRE

Canan Muter Şengül

2015-01-01

A successful job environment is believed to be created when individual interestsare put aside forthe sake of obtaining mutual benefits. At this point, providing jobsatisfaction and organizational commitment is essential. The present research isconducted through thehypothesis that personality predicts these two factors andthen seeks to reveal this effect.Big Five Personality Model and TransactionalAnalysis are used for evaluatingthe personality factor.The...

Conociendo Big Data

Directory of Open Access Journals (Sweden)

Juan José Camargo-Vega

2014-12-01

Full Text Available Teniendo en cuenta la importancia que ha adquirido el término Big Data, la presente investigación buscó estudiar y analizar de manera exhaustiva el estado del arte del Big Data; además, y como segundo objetivo, analizó las características, las herramientas, las tecnologías, los modelos y los estándares relacionados con Big Data, y por último buscó identificar las características más relevantes en la gestión de Big Data, para que con ello se pueda conocer todo lo concerniente al tema central de la investigación.La metodología utilizada incluyó revisar el estado del arte de Big Data y enseñar su situación actual; conocer las tecnologías de Big Data; presentar algunas de las bases de datos NoSQL, que son las que permiten procesar datos con formatos no estructurados, y mostrar los modelos de datos y las tecnologías de análisis de ellos, para terminar con algunos beneficios de Big Data.El diseño metodológico usado para la investigación fue no experimental, pues no se manipulan variables, y de tipo exploratorio, debido a que con esta investigación se empieza a conocer el ambiente del Big Data.

BigBurgh Social Service Listings

Data.gov (United States)

Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Information on social services in the City of Pittsburgh and Allegheny County for individuals experiencing homeless and for those in dire need, including crisis...

Introducing Public Libraries to The Big Read: Final Report on the Audio Guide Distribution

Science.gov (United States)

Sloan, Kay; Randall, Michelle

2009-01-01

In July 2008, over 14,000 public libraries throughout the U.S. received, free of charge, a set of fourteen Audio Guides introducing them to The Big Read. Since 2007, when the National Endowment for the Arts and the Institute of Museum and Library Services, in partnership with Arts Midwest, debuted The Big Read, the program has awarded grants to…

BigDansing

KAUST Repository

Khayyat, Zuhair

2015-06-02

Data cleansing approaches have usually focused on detecting and fixing errors with little attention to scaling to big datasets. This presents a serious impediment since data cleansing often involves costly computations such as enumerating pairs of tuples, handling inequality joins, and dealing with user-defined functions. In this paper, we present BigDansing, a Big Data Cleansing system to tackle efficiency, scalability, and ease-of-use issues in data cleansing. The system can run on top of most common general purpose data processing platforms, ranging from DBMSs to MapReduce-like frameworks. A user-friendly programming interface allows users to express data quality rules both declaratively and procedurally, with no requirement of being aware of the underlying distributed platform. BigDansing takes these rules into a series of transformations that enable distributed computations and several optimizations, such as shared scans and specialized joins operators. Experimental results on both synthetic and real datasets show that BigDansing outperforms existing baseline systems up to more than two orders of magnitude without sacrificing the quality provided by the repair algorithms.

An evaluation of a family planning mobile job aid for community health workers in Tanzania.

Science.gov (United States)

Braun, Rebecca; Lasway, Christine; Agarwal, Smisha; L'Engle, Kelly; Layer, Erica; Silas, Lucy; Mwakibete, Anna; Kudrati, Mustafa

2016-07-01

The global rapid growth in mobile technology provides unique opportunities to support community health workers (CHWs) in providing family planning (FP) services. FHI 360, Pathfinder International and D-tree International developed an evidence-based mobile job aid to support CHW counseling, screening, service provision and referrals, with mobile forms for client and service data, and text-message reporting and reminders. The purpose of this study is to evaluate the acceptability and potential benefits to service quality from the perspective of CHWs and their clients. The mobile job aid was piloted in Dar es Salaam, Tanzania. Data collection tools included a demographic survey of all 25 CHWs trained to use the mobile job aid, in-depth interviews with 20 of the CHWs after 3 months and a survey of 176 clients who received FP services from a CHW using the mobile job aid after 6 months. Both CHWs and their clients reported that the mobile job aid was a highly acceptable FP support tool. CHWs perceived benefits to service quality, including timelier and more convenient care; better quality of information; increased method choice; and improved privacy, confidentiality and trust with clients. Most clients discussed multiple FP methods with CHWs; only 1 in 10 clients reported discussion of all 9 methods. This research suggests that mobile phones can be effective tools to support CHWs with FP counseling, screening and referrals, data collection and reporting, and communication. Challenges remain to support informed contraceptive choice. Future research should focus on implementation, including scale-up and sustainability. Mobile job aids can uniquely enhance FP service provision at the community level through adherence to standard protocols, real-time feedback and technical assistance, and provision of confidential care. This study can inform future efforts to support and expand the role of CHWs in increasing FP access and informed contraceptive choice. Copyright © 2016

Job design and job stress in office workers.

Science.gov (United States)

Carayon, P

1993-05-01

A model to look at various job components that affect individual well-being and health was developed drawing from the job design and job stress literature. Briefly stated, the model proposes job control to be a primary causal determinant of the stress outcomes. The effects of perceived demands, job content, and career/future concerns were hypothesized to influence the stress outcomes only to the extent of their influence on job control. This was tested in a population of government office employees in various clerical, professional, and managerial jobs all of which involve the use of computers. Results indicated that job control was not a crucial determinant of the stress outcomes, that job demands and career/future concerns were consistent determinants of the stress outcomes, and that job content, demands, and career/future concerns did not influence the stress outcomes through job control as described by the proposed model. The differentiation of job control levels to define specific relationships with stress outcomes and other job elements was shown to be useful because different levels of job control were associated with different stress outcomes and job elements.

Motivation, Job Satisfaction and Service Delivery: The Case of ...

African Journals Online (AJOL)

This is a study on motivation and job satisfaction of middle level staff in Kenneth Dike Library (KDL), University of Ibadan, Nigeria. Survey method was adopted where responses were elicited through a questionnaire administered on the staff. Answers were sought to questions on staff welfare, satisfaction and productivity.

Use of DAGMan in CRAB3 to Improve the Splitting of CMS User Jobs

Energy Technology Data Exchange (ETDEWEB)

Wolf, M. [Notre Dame U.; Mascheroni, M. [Fermilab; Woodard, A. [Notre Dame U.; Belforte, S. [INFN, Trieste; Bockelman, B. [Nebraska U.; Hernandez, J. M. [Madrid, CIEMAT; Vaandering, E. [Fermilab

2017-11-22

CRAB3 is a workload management tool used by CMS physicists to analyze data acquired by the Compact Muon Solenoid (CMS) detector at the CERN Large Hadron Collider (LHC). Research in high energy physics often requires the analysis of large collections of files, referred to as datasets. The task is divided into jobs that are distributed among a large collection of worker nodes throughout the Worldwide LHC Computing Grid (WLCG). Splitting a large analysis task into optimally sized jobs is critical to efficient use of distributed computing resources. Jobs that are too big will have excessive runtimes and will not distribute the work across all of the available nodes. However, splitting the project into a large number of very small jobs is also inefficient, as each job creates additional overhead which increases load on infrastructure resources. Currently this splitting is done manually, using parameters provided by the user. However the resources needed for each job are difficult to predict because of frequent variations in the performance of the user code and the content of the input dataset. As a result, dividing a task into jobs by hand is difficult and often suboptimal. In this work we present a new feature called “automatic splitting” which removes the need for users to manually specify job splitting parameters. We discuss how HTCondor DAGMan can be used to build dynamic Directed Acyclic Graphs (DAGs) to optimize the performance of large CMS analysis jobs on the Grid. We use DAGMan to dynamically generate interconnected DAGs that estimate the processing time the user code will require to analyze each event. This is used to calculate an estimate of the total processing time per job, and a set of analysis jobs are run using this estimate as a specified time limit. Some jobs may not finish within the alloted time; they are terminated at the time limit, and the unfinished data is regrouped into smaller jobs and resubmitted.

Use of DAGMan in CRAB3 to improve the splitting of CMS user jobs

Science.gov (United States)

Wolf, M.; Mascheroni, M.; Woodard, A.; Belforte, S.; Bockelman, B.; Hernandez, J. M.; Vaandering, E.

2017-10-01

CRAB3 is a workload management tool used by CMS physicists to analyze data acquired by the Compact Muon Solenoid (CMS) detector at the CERN Large Hadron Collider (LHC). Research in high energy physics often requires the analysis of large collections of files, referred to as datasets. The task is divided into jobs that are distributed among a large collection of worker nodes throughout the Worldwide LHC Computing Grid (WLCG). Splitting a large analysis task into optimally sized jobs is critical to efficient use of distributed computing resources. Jobs that are too big will have excessive runtimes and will not distribute the work across all of the available nodes. However, splitting the project into a large number of very small jobs is also inefficient, as each job creates additional overhead which increases load on infrastructure resources. Currently this splitting is done manually, using parameters provided by the user. However the resources needed for each job are difficult to predict because of frequent variations in the performance of the user code and the content of the input dataset. As a result, dividing a task into jobs by hand is difficult and often suboptimal. In this work we present a new feature called “automatic splitting” which removes the need for users to manually specify job splitting parameters. We discuss how HTCondor DAGMan can be used to build dynamic Directed Acyclic Graphs (DAGs) to optimize the performance of large CMS analysis jobs on the Grid. We use DAGMan to dynamically generate interconnected DAGs that estimate the processing time the user code will require to analyze each event. This is used to calculate an estimate of the total processing time per job, and a set of analysis jobs are run using this estimate as a specified time limit. Some jobs may not finish within the alloted time; they are terminated at the time limit, and the unfinished data is regrouped into smaller jobs and resubmitted.

Applying fuzzy integral for evaluating intensity of knowledge work in jobs

Directory of Open Access Journals (Sweden)

Jalil Heidary Dahooie

2013-10-01

Full Text Available In this article, a framework is proposed to define and identify knowledge work intensity in jobs, quantitatively. For determining the Knowledge Work Intensity Score (KWIS of a job, it is supposed that the job comprises some tasks and KWIS of the job is determined based on knowledge intensity of these tasks. Functional Job Analysis (FJA method is applied to determine tasks of jobs and then Task’s Knowledge Intensity Score (TKIS is computed by using Fuzzy integral method. Besides, importance weight and time weight of tasks are determined by utilizing appropriate methods. Finally, KWIS is calculated by a formula composed of tasks’ TKISs and the weights. For evaluating applicability of the framework, it is applied to calculate KWISs of two jobs (Deputy of Finance and service, Laboratory technician.

Organisational Commitment, Job Satisfaction and Turnover ...

African Journals Online (AJOL)

This study investigated organisational commitment, job satisfaction and turnover intentions among records management personnel in Ondo State Civil Service, Akure, Nigeria. Simple random sampling technique was used to draw 240 subjects from a population size of 275 records management personnel.

Measuring Teacher Job Satisfaction: Assessing Invariance in the Teacher Job Satisfaction Scale (TJSS) Across Six Countries

Science.gov (United States)

Pepe, Alessandro; Addimando, Loredana; Veronese, Guido

2017-01-01

Work and organizational psychology has long been concerned with measuring job satisfaction in organizational contexts, and this has carried across to the field of education, leading to a research focus on the work-related satisfaction of teachers. Today, a myriad of organizations continue to assess employees’ job satisfaction on a routine basis (Liu, Borg, & Spector, 2004). Unfortunately, a sort of balkanization of the field has resulted in the production of dozens of specific measurement tools, making it difficult to cross-compare samples and contexts. The present paper tested the measurement invariance of the Teacher Job Satisfaction Scale (TJSS) in six international cohorts (Netherlands, United States, Russia China, Italy and Palestine) of in-service teachers (N = 2,819). Confirmatory factor analysis and multi-group invariance tests were applied. The TJSS-9 displayed robust psychometric proprieties and no substantial departures from measurement invariance (configural and metric). Future research is required to further test equivalence across additional countries, with view to developing a truly international tool for measuring job satisfaction in teaching. PMID:28904592

Measuring Teacher Job Satisfaction: Assessing Invariance in the Teacher Job Satisfaction Scale (TJSS) Across Six Countries.

Science.gov (United States)

Pepe, Alessandro; Addimando, Loredana; Veronese, Guido

2017-08-01

Work and organizational psychology has long been concerned with measuring job satisfaction in organizational contexts, and this has carried across to the field of education, leading to a research focus on the work-related satisfaction of teachers. Today, a myriad of organizations continue to assess employees' job satisfaction on a routine basis (Liu, Borg, & Spector, 2004). Unfortunately, a sort of balkanization of the field has resulted in the production of dozens of specific measurement tools, making it difficult to cross-compare samples and contexts. The present paper tested the measurement invariance of the Teacher Job Satisfaction Scale (TJSS) in six international cohorts (Netherlands, United States, Russia China, Italy and Palestine) of in-service teachers (N = 2,819). Confirmatory factor analysis and multi-group invariance tests were applied. The TJSS-9 displayed robust psychometric proprieties and no substantial departures from measurement invariance (configural and metric). Future research is required to further test equivalence across additional countries, with view to developing a truly international tool for measuring job satisfaction in teaching.

Measuring Teacher Job Satisfaction: Assessing Invariance in the Teacher Job Satisfaction Scale (TJSS Across Six Countries

Directory of Open Access Journals (Sweden)

Alessandro Pepe

2017-08-01

Full Text Available Work and organizational psychology has long been concerned with measuring job satisfaction in organizational contexts, and this has carried across to the field of education, leading to a research focus on the work-related satisfaction of teachers. Today, a myriad of organizations continue to assess employees’ job satisfaction on a routine basis (Liu, Borg, & Spector, 2004. Unfortunately, a sort of balkanization of the field has resulted in the production of dozens of specific measurement tools, making it difficult to cross-compare samples and contexts. The present paper tested the measurement invariance of the Teacher Job Satisfaction Scale (TJSS in six international cohorts (Netherlands, United States, Russia China, Italy and Palestine of in-service teachers (N = 2,819. Confirmatory factor analysis and multi-group invariance tests were applied. The TJSS-9 displayed robust psychometric proprieties and no substantial departures from measurement invariance (configural and metric. Future research is required to further test equivalence across additional countries, with view to developing a truly international tool for measuring job satisfaction in teaching.

Job satisfaction of occupational medicine nurses in Poland.

Science.gov (United States)

Sakowski, Piotr

2012-03-01

The study aimed at assessment of the Polish occupational medicine service system after over ten years of functioning in the current shape, made by occupational nurses. The article focuses on the job satisfaction level among Polish occupational medicine nurses. The survey was performed among 600 randomly selected occupational medicine nurses, registered in the regional occupational medicine centers. A questionnaire, designed by the research team, containing several questions concerning different aspects of OMS system assessment, including a part dedicated to job satisfaction assessment, was sent to the selected occupational nurses. The response rate was 33.3% (200 questionnaires). The survey shows a relatively high satisfaction level in case of five out of eleven investigated job aspects, and a very low satisfaction level in case of two of them ("Possibility of professional promotion", "Salary"). 26% of the OMS nurses had considered going abroad to work as a nurse in the general health care system, and 17% in the OHS system. Almost 25% of them would not choose a profession of an occupational nurse once again, including 10% who would not choose a nurse job at all. There is a statistically significant correlation between the general job satisfaction and satisfaction with other aspects of nursing work. A strong correlation was observed in case of "Scope of performed tasks" and "Cooperation with employers (clients of the occupational medicine service units)". There is a statistically significant correlation of average strength between the decision concerning choosing an occupational nurse job in case of taking a decision on professional carrier once again and "General job satisfaction". Polish occupational nurses are satisfied with their job, however only 26% are fully satisfied. In their work there is place for improvement. The areas which definitely need attention and improvement are "Possibility of professional promotion" and "Salary". Improvements in cooperation

Characterizing Big Data Management

Directory of Open Access Journals (Sweden)

Rogério Rossi

2015-06-01

Full Text Available Big data management is a reality for an increasing number of organizations in many areas and represents a set of challenges involving big data modeling, storage and retrieval, analysis and visualization. However, technological resources, people and processes are crucial to facilitate the management of big data in any kind of organization, allowing information and knowledge from a large volume of data to support decision-making. Big data management can be supported by these three dimensions: technology, people and processes. Hence, this article discusses these dimensions: the technological dimension that is related to storage, analytics and visualization of big data; the human aspects of big data; and, in addition, the process management dimension that involves in a technological and business approach the aspects of big data management.

Big science

CERN Multimedia

Nadis, S

2003-01-01

" "Big science" is moving into astronomy, bringing large experimental teams, multi-year research projects, and big budgets. If this is the wave of the future, why are some astronomers bucking the trend?" (2 pages).

Oil jobs have big impact on heavily populated Middle East.

Science.gov (United States)

Omran, A R; Roudi, F

1993-09-01

Labor force interdependence creates a complex pattern among countries in the Middle East. Oil-rich countries (Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates) must import two-thirds of their labor force, including 80% of their professional and technical workers. These migrant workers come from Egypt (60%), Jordan, Yemen, Sudan, and South Asia, and the money they send home is a major factor in the economies of their native lands. Many Arabs who are considered foreign laborers have spent their entire lives, or have even been born, in the oil-rich countries; they have no hope of attaining citizenship. South Asians compete with Arabs for work in the Gulf States and tend to accept less-desirable jobs and lower wages. South Asian workers migrate from Bangladesh, India, Pakistan, Sri Lanka, Indonesia, Korea, the Philippines, and Thailand. Middle Eastern women have social constraints on labor force participation, and most of the women working n the Gulf States are Asian; they often work as domestics. The women of the Middle East are an untapped resource for this labor market.

Improved nurse job satisfaction and job retention with the transition from a "mandatory consultation" model to a "semiclosed" surgical intensive care unit: a 1-year prospective evaluation.

Science.gov (United States)

Haut, Elliott R; Sicoutris, Corinna P; Meredith, Denise M; Sonnad, Seema S; Reilly, Patrick M; Schwab, C William; Hanson, C William; Gracias, Vicente H

2006-02-01

The change from a "mandatory consultation" to a "semiclosed" surgical intensive care unit (SICU) model will impact nurses considerably. We hypothesize that nurse job satisfaction, job turnover rates, and hospital costs for temporary agency nurses will improve and these improvements will be more dramatic in SICU sections with greater involvement of a dedicated surgical critical care service (SCCS). Prospective longitudinal survey. Tertiary-care university hospital. SICU staff nurses. Change from mandatory consultation to semiclosed SICU. We surveyed SICU nurses during the year-long transition to a semiclosed SICU service (five time points, 3-month intervals). The first four surveys included ten questions on nurse job satisfaction. The final survey included two additional questions. All questions were on a 5-point Likert scale (1 = strongly disagree to 5 = strongly agree). Nurse job turnover rates and money spent on agency nurses were compared over time; 503 of a possible 914 surveys were completed (55% overall return rate). Nurse job satisfaction scores significantly improved over time for all questions (p job turnover rate dropped from 25% to 16% (p = .15). The scores for both year-end statements ("I am more satisfied with my job now than 1 year ago" and "The SCCS management of all orders has improved my job satisfaction") were significantly higher in sections with greater SCCS involvement (p = .0070 and p job satisfaction improved significantly with the transition to a semiclosed SICU. This higher satisfaction was associated with a significant decrease in spending on temporary agency nurses and a trend toward increased staff nurse job retention. SICU sections with greater SCCS involvement had more dramatic improvements. This semiclosed SICU model may help retain SICU nurses in a competitive job market in which experienced nurses are in short supply.

Jobs

DEFF Research Database (Denmark)

Schubart, Rikke

2013-01-01

Review of the movie Jobs (Joshua Michael Stern, 2013), a drama about Steve Jobs, the founder of Apple.......Review of the movie Jobs (Joshua Michael Stern, 2013), a drama about Steve Jobs, the founder of Apple....

What Comes First, Job Burnout or Secondary Traumatic Stress? Findings from Two Longitudinal Studies from the U.S. and Poland.

Science.gov (United States)

Shoji, Kotaro; Lesnierowska, Magdalena; Smoktunowicz, Ewelina; Bock, Judith; Luszczynska, Aleksandra; Benight, Charles C; Cieslak, Roman

2015-01-01

This longitudinal research examined the directions of the relationships between job burnout and secondary traumatic stress (STS) among human services workers. In particular, using cross-lagged panel design, we investigated whether job burnout predicts STS at 6-month follow up or whether the level of STS symptoms explains job burnout at 6-month follow-up. Participants in Study 1 were behavioral or mental healthcare providers (N = 135) working with U.S. military personnel suffering from trauma. Participants in Study 2 were healthcare providers, social workers, and other human services professions (N = 194) providing various types of services for civilian trauma survivors in Poland. The cross-lagged analyses showed consistent results for both longitudinal studies; job burnout measured at Time 1 led to STS at Time 2, but STS assessed at Time 1 did not lead to job burnout at Time 2. These results contribute to a discussion on the origins of STS and job burnout among human services personnel working in highly demanding context of work-related secondary exposure to traumatic events and confirm that job burnout contributes to the development of STS.

5 CFR 532.217 - Appropriated fund survey jobs.

Science.gov (United States)

2010-01-01

... Laundry Worker 1 Food Service Worker 2 Cook 8 (e) A lead agency must obtain prior approval of OPM to add a... 5 Administrative Personnel 1 2010-01-01 2010-01-01 false Appropriated fund survey jobs. 532.217 Section 532.217 Administrative Personnel OFFICE OF PERSONNEL MANAGEMENT CIVIL SERVICE REGULATIONS...

Job autonomy and job satisfaction: new evidence

OpenAIRE

Taylor, J; Bradley, S; Nguyen, A N

2003-01-01

This paper investigates the impact of perceived job autonomy on job satisfaction. We use the fifth sweep of the National Educational Longitudinal Study (1988-2000), which contains personally reported job satisfaction data for a sample of individuals eight years after the end of compulsory education. After controlling for a wide range of personal and job-related variables, perceived job autonomy is found to be a highly significant determinant of five separate domains of job satisfaction (pay, ...

The Big Data Tools Impact on Development of Simulation-Concerned Academic Disciplines

Directory of Open Access Journals (Sweden)

A. A. Sukhobokov

2015-01-01

Full Text Available The article gives a definition of Big Data on the basis of 5V (Volume, Variety, Velocity, Veracity, Value as well as shows examples of tasks that require using Big Data tools in a diversity of areas, namely: health, education, financial services, industry, agriculture, logistics, retail, information technology, telecommunications and others. An overview of Big Data tools is delivered, including open source products, IBM Bluemix and SAP HANA platforms. Examples of architecture of corporate data processing and management systems using Big Data tools are shown for big Internet companies and for enterprises in traditional industries. Within the overview, a classification of Big Data tools is proposed that fills gaps of previously developed similar classifications. The new classification contains 19 classes and allows embracing several hundreds of existing and emerging products.The uprise and use of Big Data tools, in addition to solving practical problems, affects the development of scientific disciplines concerning the simulation of technical, natural or socioeconomic systems and the solution of practical problems based on developed models. New schools arise in these disciplines. These new schools decide peculiar to each discipline tasks, but for systems with a much bigger number of internal elements and connections between them. Characteristics of the problems to be solved under new schools, not always meet the criteria for Big Data. It is suggested to identify the Big Data as a part of the theory of sorting and searching algorithms. In other disciplines the new schools are called by analogy with Big Data: Big Calculation in numerical methods, Big Simulation in imitational modeling, Big Management in the management of socio-economic systems, Big Optimal Control in the optimal control theory. The paper shows examples of tasks and methods to be developed within new schools. The educed tendency is not limited to the considered disciplines: there are

The job of 'ethics committees'.

Science.gov (United States)

Moore, Andrew; Donnelly, Andrew

2015-11-13

What should authorities establish as the job of ethics committees and review boards? Two answers are: (1) review of proposals for consistency with the duly established and applicable code and (2) review of proposals for ethical acceptability. The present paper argues that these two jobs come apart in principle and in practice. On grounds of practicality, publicity and separation of powers, it argues that the relevant authorities do better to establish code-consistency review and not ethics-consistency review. It also rebuts bad code and independence arguments for the opposite view. It then argues that authorities at present variously specify both code-consistency and ethics-consistency jobs, but most are also unclear on this issue. The paper then argues that they should reform the job of review boards and ethics committees, by clearly establishing code-consistency review and disestablishing ethics-consistency review, and through related reform of the basic orientation, focus, name, and expertise profile of these bodies and their actions. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Social capital and job satisfaction among substance abuse treatment employees.

Science.gov (United States)

Tsounis, Andreas; Niakas, Dimitris; Sarafis, Pavlos

2017-02-15

Job satisfaction is an important predictor for management and clinical ratios. Although it is accepted that is affected by many aspects, the influence of social capital remains to be determined. The main purpose of the article is to examine the relationship between job satisfaction and individual social capital for employees offering services in the treatment of addiction. A cross-sectional study was conducted on 239 employees from 14 therapeutic programs at KETEA (Therapy Center for Dependent Individuals in Greece) (KETHEA). A revised Greek Version of the Social Capital Questionnaire (SCQ-G) for the individual social capital measurement, and of the Job Satisfaction Survey (JSS) for the job satisfaction measurement, were used. Individual Social Capital ranged in medium levels. We observed a significant positive association between social capital and its' different aspects and gender, age, place of residence and working experience. Men, older employees, those who lived in smaller places, and those working more years, reached higher levels of individual social capital. Concerning overall job satisfaction most of the participants were ambivalent (61.5%), while 21.8% were satisfied and 16.7% were dissatisfied. Concerning its separate aspects, 77% were least satisfied with pay, 69.9% were least satisfied with advancement opportunities, 60.3% were least satisfied with fringe benefits, 85.8% were most satisfied with the nature of their work, 80.8% with their relationship with colleagues, and 77.8% were satisfied with supervision. Total Job Satisfaction was positively associated with place of residence and monthly salary. A significant positive correlation between social capital and job satisfaction was also observed. Early evidence suggests that social capital is associated with job satisfaction of employees providing services in the treatment of substance abuse. Further research, regarding social capital on job satisfaction, is suggested. We need to design and implement

Expert ratings of job demand and job control as predictors of injury and musculoskeletal disorder risk in a manufacturing cohort.

Science.gov (United States)

Cantley, Linda F; Tessier-Sherman, Baylah; Slade, Martin D; Galusha, Deron; Cullen, Mark R

2016-04-01

To examine associations between workplace injury and musculoskeletal disorder (MSD) risk and expert ratings of job-level psychosocial demand and job control, adjusting for job-level physical demand. Among a cohort of 9260 aluminium manufacturing workers in jobs for which expert ratings of job-level physical and psychological demand and control were obtained during the 2 years following rating obtainment, multivariate mixed effects models were used to estimate relative risk (RR) of minor injury and minor MSD, serious injury and MSD, minor MSD only and serious MSD only by tertile of demand and control, adjusting for physical demand as well as other recognised risk factors. Compared with workers in jobs rated as having low psychological demand, workers in jobs with high psychological demand had 49% greater risk of serious injury and serious MSD requiring medical treatment, work restrictions or lost work time (RR=1.49; 95% CI 1.10 to 2.01). Workers in jobs rated as having low control displayed increased risk for minor injury and minor MSD (RR=1.45; 95% CI 1.12 to 1.87) compared with those in jobs rated as having high control. Using expert ratings of job-level exposures, this study provides evidence that psychological job demand and job control contribute independently to injury and MSD risk in a blue-collar manufacturing cohort, and emphasises the importance of monitoring psychosocial workplace exposures in addition to physical workplace exposures to promote worker health and safety. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Big Data solutions on a small scale: Evaluating accessible high-performance computing for social research

Directory of Open Access Journals (Sweden)

Dhiraj Murthy

2014-11-01

Full Text Available Though full of promise, Big Data research success is often contingent on access to the newest, most advanced, and often expensive hardware systems and the expertise needed to build and implement such systems. As a result, the accessibility of the growing number of Big Data-capable technology solutions has often been the preserve of business analytics. Pay as you store/process services like Amazon Web Services have opened up possibilities for smaller scale Big Data projects. There is high demand for this type of research in the digital humanities and digital sociology, for example. However, scholars are increasingly finding themselves at a disadvantage as available data sets of interest continue to grow in size and complexity. Without a large amount of funding or the ability to form interdisciplinary partnerships, only a select few find themselves in the position to successfully engage Big Data. This article identifies several notable and popular Big Data technologies typically implemented using large and extremely powerful cloud-based systems and investigates the feasibility and utility of development of Big Data analytics systems implemented using low-cost commodity hardware in basic and easily maintainable configurations for use within academic social research. Through our investigation and experimental case study (in the growing field of social Twitter analytics, we found that not only are solutions like Cloudera’s Hadoop feasible, but that they can also enable robust, deep, and fruitful research outcomes in a variety of use-case scenarios across the disciplines.

Big bang and big crunch in matrix string theory

OpenAIRE

Bedford, J; Papageorgakis, C; Rodríguez-Gómez, D; Ward, J

2007-01-01

Following the holographic description of linear dilaton null Cosmologies with a Big Bang in terms of Matrix String Theory put forward by Craps, Sethi and Verlinde, we propose an extended background describing a Universe including both Big Bang and Big Crunch singularities. This belongs to a class of exact string backgrounds and is perturbative in the string coupling far away from the singularities, both of which can be resolved using Matrix String Theory. We provide a simple theory capable of...

Job control and coworker support improve employee job performance.

Science.gov (United States)

Nagami, Makiko; Tsutsumi, Akizumi; Tsuchiya, Masao; Morimoto, Kanehisa

2010-01-01

We examined the prospective association of psychosocial job characteristics with employee job performance among 777 full-time employees at a manufacturing company in Japan, using data from a one-year follow-up survey. Psychosocial job characteristics were measured by the Job Content Questionnaire in 2008; job performance was evaluated using the item from the World Mental Health Survey Instrument in 2008 and 2009. The association between psychosocial job characteristics and job performance was tested using multiple regression analysis, controlling for demographic variables, work status, average working hours per day, job type and job performance in 2008. Job control and coworker support in 2008 were positively related to job performance in 2009. Stratified analyses revealed that job control for staff and coworker support for managers were positively related to job performance in 2009. These associations were prominent among men; however, supervisor support in 2008 was negatively related to job performance in 2009 among men. Job demand was not significantly related to job performance. Our findings suggest that it is worthwhile to enhance employees' job control and provide a mutually supportive environment to ensure positive employee job performance.

Inbound Call Centers and Emotional Dissonance in the Job Demands – Resources Model

Science.gov (United States)

Molino, Monica; Emanuel, Federica; Zito, Margherita; Ghislieri, Chiara; Colombo, Lara; Cortese, Claudio G.

2016-01-01

Background: Emotional labor, defined as the process of regulating feelings and expressions as part of the work role, is a major characteristic in call centers. In particular, interacting with customers, agents are required to show certain emotions that are considered acceptable by the organization, even though these emotions may be different from their true feelings. This kind of experience is defined as emotional dissonance and represents a feature of the job especially for call center inbound activities. Aim: The present study was aimed at investigating whether emotional dissonance mediates the relationship between job demands (workload and customer verbal aggression) and job resources (supervisor support, colleague support, and job autonomy) on the one hand, and, on the other, affective discomfort, using the job demands-resources model as a framework. The study also observed differences between two different types of inbound activities: customer assistance service (CA) and information service. Method: The study involved agents of an Italian Telecommunication Company, 352 of whom worked in the CA and 179 in the information service. The hypothesized model was tested across the two groups through multi-group structural equation modeling. Results: Analyses showed that CA agents experience greater customer verbal aggression and emotional dissonance than information service agents. Results also showed, only for the CA group, a full mediation of emotional dissonance between workload and affective discomfort, and a partial mediation of customer verbal aggression and job autonomy, and affective discomfort. Conclusion: This study’s findings contributed both to the emotional labor literature, investigating the mediational role of emotional dissonance in the job demands-resources model, and to call center literature, considering differences between two specific kinds of inbound activities. Suggestions for organizations and practitioners emerged in order to identify

The effects of family support and work engagement on organizationally valued job outcomes

OpenAIRE

Karatepe, Osman M.

2015-01-01

There are calls for more empirical research about the antecedents and outcomes of work engagement in frontline service jobs in the hospitality management literature. With this realization, using the precepts of the motivational process of the Job Demands-Resources model, the present study aims to develop and test a conceptual model that examines work engagement as a mediator of the effect of family support on organizationally relevant and valued job outcomes. Turnover intentions, job performa...

25 CFR 26.5 - Who may be eligible for Job Placement and Training?

Science.gov (United States)

2010-04-01

... 25 Indians 1 2010-04-01 2010-04-01 false Who may be eligible for Job Placement and Training? 26.5 Section 26.5 Indians BUREAU OF INDIAN AFFAIRS, DEPARTMENT OF THE INTERIOR HUMAN SERVICES JOB PLACEMENT AND TRAINING PROGRAM General Applicability § 26.5 Who may be eligible for Job Placement and Training? You may...

Bliver big data til big business?

DEFF Research Database (Denmark)

Ritter, Thomas

2015-01-01

Danmark har en digital infrastruktur, en registreringskultur og it-kompetente medarbejdere og kunder, som muliggør en førerposition, men kun hvis virksomhederne gør sig klar til næste big data-bølge.......Danmark har en digital infrastruktur, en registreringskultur og it-kompetente medarbejdere og kunder, som muliggør en førerposition, men kun hvis virksomhederne gør sig klar til næste big data-bølge....

Job satisfaction: An analysis of middle managers in the South African Police Service

Directory of Open Access Journals (Sweden)

Renate Bellingan-Timmer

2004-12-01

Full Text Available The organised crime units in the South African Police Service (SAPS have experienced major restructuring over the past two years. The impact which the restructuring would have on the middle managers was never determined This unique organisational situation provided the foundation for the consideration of measuring which factors would impact on the job satisfaction of middle managers. The middle manager serves as an intermediary between top management and lower levels, and is influenced by organisational factors (the organisational climate, policies, and procedures and individual factors (i.e. needs, abilities, role perception, and values. These factors cause the middle manager to develop a certain attitude towards his work and, given the effort he exerts, a certain level of performance will be reached. This performance is rewarded intrinsically and/or extrinsically and, if the reward is equitably perceived, the middle manager will experience feelings of satisfaction which would impact positively on the management of lower levels in the organisation, thereby increasing overall work efficiency.

Big data uncertainties.

Science.gov (United States)

Maugis, Pierre-André G

2018-07-01

Big data-the idea that an always-larger volume of information is being constantly recorded-suggests that new problems can now be subjected to scientific scrutiny. However, can classical statistical methods be used directly on big data? We analyze the problem by looking at two known pitfalls of big datasets. First, that they are biased, in the sense that they do not offer a complete view of the populations under consideration. Second, that they present a weak but pervasive level of dependence between all their components. In both cases we observe that the uncertainty of the conclusion obtained by statistical methods is increased when used on big data, either because of a systematic error (bias), or because of a larger degree of randomness (increased variance). We argue that the key challenge raised by big data is not only how to use big data to tackle new problems, but to develop tools and methods able to rigorously articulate the new risks therein. Copyright © 2016. Published by Elsevier Ltd.

Organizational and individual factors influencing job satisfaction and burnout of mental health workers.

Science.gov (United States)

Martin, U; Schinke, S P

1998-01-01

Job satisfaction and burnout are important areas of study because of the financial and social effects of job satisfaction and the damaging physical/psychological impacts of burnout. Two hundred family/children and psychiatric workers of seven social service organizations were surveyed. Instruments used were the Minnesota Satisfaction Questionnaire, the Maslach Burnout Inventory, and the Staff Burnout Scale for Health Professionals. Reported levels of job satisfaction and burnout are within normal limits. Psychiatric and family/children workers report equal job satisfaction levels, but the latter group reports significantly higher burnout levels. Both groups are particularly satisfied with the amount of praise delivered by supervisors and are reportedly dissatisfied with salary levels and promotional opportunities. These three factors are strongly associated with job satisfaction and burnout levels of both groups. Findings have practical implications for social service administrators and practitioners. Correlates of satisfaction and burnout can be altered in order to maintain employee satisfaction and reduce burnout, absenteeism and turnover.

Job satisfaction and turnover intentions among health care staff providing services for prevention of mother-to-child transmission of HIV in Dar es Salaam, Tanzania.

Science.gov (United States)

Naburi, Helga; Mujinja, Phares; Kilewo, Charles; Orsini, Nicola; Bärnighausen, Till; Manji, Karim; Biberfeld, Gunnel; Sando, David; Geldsetzer, Pascal; Chalamila, Guerino; Ekström, Anna Mia

2017-09-06

Option B+ for the prevention of mother-to-child transmission (PMTCT) of HIV (i.e., lifelong antiretroviral treatment for all pregnant and breastfeeding mothers living with HIV) was initiated in Tanzania in 2013. While there is evidence that this policy has benefits for the health of the mother and the child, Option B+ may also increase the workload for health care providers in resource-constrained settings, possibly leading to job dissatisfaction and unwanted workforce turnover. From March to April 2014, a questionnaire asking about job satisfaction and turnover intentions was administered to all nurses at 36 public-sector health facilities offering antenatal and PMTCT services in Dar es Salaam, Tanzania. Multivariable logistic regression models were used to identify factors associated with job dissatisfaction and intention to quit one's job. Slightly over half (54%, 114/213) of the providers were dissatisfied with their current job, and 35% (74/213) intended to leave their job. Most of the providers were dissatisfied with low salaries and high workload, but satisfied with workplace harmony and being able to follow their moral values. The odds of reporting to be globally dissatisfied with one's job were high if the provider was dissatisfied with salary (adjusted odds ratio (aOR) 5.6, 95% CI 1.2-26.8), availability of protective gear (aOR 4.0, 95% CI 1.5-10.6), job description (aOR 4.3, 95% CI 1.2-14.7), and working hours (aOR 3.2, 95% CI 1.3-7.6). Perceiving clients to prefer PMTCT Option B+ reduced job dissatisfaction (aOR 0.2, 95% CI 0.1-0.8). The following factors were associated with providers' intention to leave their current job: job stability dissatisfaction (aOR 3.7, 95% CI 1.3-10.5), not being recognized by one's superior (aOR 3.6, 95% CI 1.7-7.6), and poor feedback on the overall unit performance (aOR 2.7, 95% CI 1.3-5.8). Job dissatisfaction and turnover intentions are comparatively high among nurses in Dar es Salaam's public-sector maternal care

Basic personality dimensions and vocational orientation with pupils of fourth grade of secondary school

OpenAIRE

Ranđelović Dušan; Kašić Kristina

2009-01-01

The main goal of this research was to explore relationship between basic personality dimensions of 'Big Five' model of personality (neuroticism, extraversion, opennes, agreeableness and conscientiousness) and thirteen different groups of activities which orienting pupils toward some vocations (administration, security, electrotechnics, creativity, culture, literature, science, helping jobs, agriculture, practical jobs, sport and management and services). The participants were 219 pupils of fo...

Welfare to Work: Effectiveness of Tribal JOBS Programs Unknown. Briefing Report to Congressional Committees.

Science.gov (United States)

General Accounting Office, Washington, DC. Div. of Human Resources.

This report presents the results of a study of the Job Opportunities and Basic Skills Training (JOBS) programs operated by Indian tribes and Alaska Native organizations. Congress established the JOBS program to give recipients of Aid to Families with Dependent Children (AFDC) the education, training, work experience, and supportive services they…

Relationship Of Core Job Characteristics To Job Satisfaction And ...

African Journals Online (AJOL)

In order to clarify the conceptual and empirical distinction between job satisfaction and job involvement constructs, this study investigates the relationship between construction workers core job characteristics, job satisfaction and job involvement. It also investigates the mediating role of job satisfaction between core job ...

Pencarian Lowongan Pekerjaan Berbasis Agen Berdasarkan Profil Pencari Kerja dengan Pendekatan Semantic Web Service

Directory of Open Access Journals (Sweden)

Teguh Susyanto

2016-01-01

The designing of the prototype used a multiagent technology whose capability was to call job service provider and run matching process of the job vacancy appropriate with the job seeker’s profile automatically. Algorithm of the service selection used service matching and Simple Additive Weighting. The similary between the job offer and the job seeker’s profile was calculated by using semantic algorithm. Based on the testing carried out to the respondents, it’s stated that this prototype has been able to give recommendation of job appropriate with the job seeker’s.

25 CFR 26.10 - When will I find out if I have been selected for Job Placement and Training assistance?

Science.gov (United States)

2010-04-01

... INTERIOR HUMAN SERVICES JOB PLACEMENT AND TRAINING PROGRAM General Applicability § 26.10 When will I find out if I have been selected for Job Placement and Training assistance? (a) Your servicing office will notify you in writing within 30 calendar days once it receives a completed job training application...

20 CFR 638.523 - Food service.

Science.gov (United States)

2010-04-01

... 20 Employees' Benefits 3 2010-04-01 2010-04-01 false Food service. 638.523 Section 638.523 Employees' Benefits EMPLOYMENT AND TRAINING ADMINISTRATION, DEPARTMENT OF LABOR JOB CORPS PROGRAM UNDER TITLE IV-B OF THE JOB TRAINING PARTNERSHIP ACT Center Operations § 638.523 Food service. (a) The center...

Job satisfaction and associated factors among healthcare staff: a cross-sectional study in Guangdong Province, China.

Science.gov (United States)

Lu, Yong; Hu, Xiao-Min; Huang, Xiao-Liang; Zhuang, Xiao-Dong; Guo, Pi; Feng, Li-Fen; Hu, Wei; Chen, Long; Hao, Yuan-Tao

2016-07-19

This cross-sectional study aimed to explore job satisfaction among healthcare staff in Guangdong following the health system reforms in 2009, and to investigate the association between job satisfaction and work stress, work-family conflict and doctor-patient relationship. Cross-sectional survey. The Fifth National Health Service Survey was carried out in Guangdong, China. All participants in this study were healthcare staff including physicians, nurses and public health staff from hospitals, health service centres and health clinics. A total of 6583 questionnaires were distributed and collected. After excluding the incomplete questionnaires, 5845 questionnaires were included for the analysis. Sociodemographic information and scores for evaluating job satisfaction, work stress, work-family conflict and doctor-patient relationship were obtained using the questionnaire developed by the National Health and Family Planning Commission of the People's Republic of China. To assess the significantly associated factors on job satisfaction of the healthcare staff in Guangdong, a binary logistic regression model was used. Based on the 5845 valid responses of the healthcare staff who worked in Guangdong, the mean score of overall perception of job satisfaction was 3.99 on a scale of 1-6. Among the sociodemographic variables, occupation, educational background, professional status, years of service, annual income and night shift frequency significantly influenced the level of job satisfaction. Work stress, work-family conflict and doctor-patient relationship also had significant effect on job satisfaction. The overall job satisfaction exceeded slightly dissatisfied (score 3) and approached slightly satisfied (score 4). Measures to enhance job satisfaction include the reduction of workload, increase of welfare, maintaining moderate stress and balancing work-family conflict. Moreover, relevant laws should be issued to protect the healthcare staff from violent acts. Published by

HARNESSING BIG DATA VOLUMES

Directory of Open Access Journals (Sweden)

Bogdan DINU

2014-04-01

Full Text Available Big Data can revolutionize humanity. Hidden within the huge amounts and variety of the data we are creating we may find information, facts, social insights and benchmarks that were once virtually impossible to find or were simply inexistent. Large volumes of data allow organizations to tap in real time the full potential of all the internal or external information they possess. Big data calls for quick decisions and innovative ways to assist customers and the society as a whole. Big data platforms and product portfolio will help customers harness to the full the value of big data volumes. This paper deals with technical and technological issues related to handling big data volumes in the Big Data environment.

Job Satisfaction and Job Performance at the Work Place

OpenAIRE

Vanden Berghe, Jae Hyung

2011-01-01

The topic of the thesis is job satisfaction and job performance at the work place. The aim is to define the determinants for job satisfaction and to investigate the relationship between job satisfaction and job performance and the influence of job satisfaction on job performance. First we look into the Theory of Reasoned Action and the Theory of Planned Behaviour to account for the relationship between attitudes and behaviour. Job satisfaction is then explained as a function of job feature...

The Relationship between Authentic Leadership and Job Satisfaction in a University Setting

Science.gov (United States)

Williams, Leonard C.

2014-01-01

This study examined the relationship between career services staff member job satisfaction and the career services staff member-perceived authentic leadership characteristics of university career services leaders in a southeastern state. Career services offices are vital to building and maintaining employer partnerships, career development for…

Big bang and big crunch in matrix string theory

International Nuclear Information System (INIS)

Bedford, J.; Ward, J.; Papageorgakis, C.; Rodriguez-Gomez, D.

2007-01-01

Following the holographic description of linear dilaton null cosmologies with a big bang in terms of matrix string theory put forward by Craps, Sethi, and Verlinde, we propose an extended background describing a universe including both big bang and big crunch singularities. This belongs to a class of exact string backgrounds and is perturbative in the string coupling far away from the singularities, both of which can be resolved using matrix string theory. We provide a simple theory capable of describing the complete evolution of this closed universe

Pengaruh Konflik Peran, Ketidakjelasan Peran, Dan Kelebihan Peran Terhadap Kepuasan Kerja Dan Kinerja Auditor (Penelitian Pada Kantor Akuntan Publik Yang Bermitra Dengan Kantor Akuntan Publik Big Four Di Wilayah DKI Jakarta)

OpenAIRE

Agustina, Lidya

2009-01-01

The purpose of this research is to analyze and examine the hypothesis The Effect of Role Conflict, Role Ambiguity, and Role Overload on Job Satisfaction & Performance of junior auditor who work at Public Accountant Firm that has cooperation with big four Public Accountant Firms in DKI Jakarta simultaneously or partiality. This research performed at 93 junior auditors who work in between one until three years at public accountant firm that has cooperation with big four public accounting fi...

Relationship between job stress, occupational position and job satisfaction using a brief job stress questionnaire (BJSQ).

Science.gov (United States)

Kawada, Tomoyuki; Otsuka, Toshiaki

2011-01-01

Subjects with higher occupational position are speculated to have higher ability to handle with stress, and they were less affected by job stress. This study focused on the relationship between job satisfaction and three sub-scales of a brief job stress questionnaire (BJSQ) related to workload. This self-administered questionnaire was distributed to 371 employees of a company, and all the workers sent back their responses. Among the 57 items graded on a 4-point Likert-type scale to measure job stressors, psycho-physical complaints, and support for workers, the authors studied the influence of quantitative and qualitative job overload (six items), job control (three items), and support port (six items). The job satisfaction score estimated on a 4-point Likert-type scale was also used in relation to job stress determined using a 15-item scale from the BJSQ based on demand-control-support model. Occupational positions were classified into directors, managers, and general workers, and the content of job was classified into clerical workers, skilled technicians, and unskilled manual workers. All the scales on job stress presented acceptable alpha coefficients reflecting high internal consistency (job demand: 0.855, job control: 0.644, and support: 0.878, respectively). Principal axis factor analysis was conducted, and three factors were extracted; support, job demand and job control. There was a significant difference in the mean score among four groups divided by the job satisfaction level as evaluated by Dunnett's multiple comparison, and members who were dissatisfied with their job showed a high job demand, limited job control, and poor support. The mean score of support for managers were significantly higher (lower support) than that for general workers. The logistic regression analysis revealed that job control and support contributed significantly to job satisfaction. In addition, unskilled manual workers showed significantly higher job dissatisfaction compared

Application of Job Demands-Resources model in research on relationships between job satisfaction, job resources, individual resources and job demands

OpenAIRE

Adrianna Potocka; Małgorzata Waszkowska

2013-01-01

Background: The aim of this study was to explore the relationships between job demands, job resourses, personal resourses and job satisfaction and to assess the usefulness of the Job Demands-Resources (JD-R) model in the explanation of these phenomena. Materials and Methods: The research was based on a sample of 500 social workers. The "Psychosocial Factors" and "Job satisfaction" questionnaires were used to test the hypothesis. Results: The results showed that job satisfaction increased with...