A manufacturing-oriented model for evaluating the satisfaction of workers - Evidence from Turkey
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Date
2016
Authors
Ömer Öztürkoǧlu
Ebru E. Saygılı
Yucel Yilmaz Ozturkoglu
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier B.V.
Open Access Color
Green Open Access
Yes
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
Job satisfaction in terms of worker's satisfaction is one of the intensively studied areas in human resource and management. However there is little information available on how ergonomics and the manufacturing environment affect job satisfaction. This study analyzes the extent of the relationship between job satisfaction and work and workplace related conditions. A conceptual model is proposed to evaluate job satisfaction that considers 34 elements in four categories: manufacturing systems facility design safety and ergonomics and human resources and management. A survey of 169 blue-collar workers working in the automotive industry was conducted to investigate the applicability of the model. A comprehensive exploratory factor analysis was used to determine inter-related elements their underlying factors and their effects on job satisfaction. The analysis revealed 6 factors with 18 related elements. From a multi linear regression analysis we develop a job satisfaction model built on factors of human resource policies safety ergonomics air quality thermal comfort and disturbing equipment. The results reveal that ergonomics plays the most important role in workers' satisfaction for the respondent Turkish automotive workers. In contrast human resource policies seem not play a critical role in job satisfaction because of higher standards in automotive industry compared to other industries in Turkey. © 2017 Elsevier B.V. All rights reserved.
Description
Keywords
Auto Industry, Ergonomics, Job Satisfaction, Manufacturing, Safety, Accident Prevention, Air Quality, Automotive Industry, Ergonomics, Factor Analysis, Job Satisfaction, Manufacture, Personnel, Quality Control, Regression Analysis, Auto Industry, Blue Collar Workers, Exploratory Factor Analysis, Facility Designs, Manufacturing Environments, Multi-linear Regression, Satisfaction Model, Underlying Factors, Human Resource Management, Air Quality, Article, Automobile Industry, Blue Collar Worker, Ergonomics, Factorial Analysis, Human, Job Satisfaction, Manpower, Occupational Safety, Personnel Management, Priority Journal, Turkey (republic), Work Environment, Workplace, Accident prevention, Air quality, Automotive industry, Ergonomics, Factor analysis, Job satisfaction, Manufacture, Personnel, Quality control, Regression analysis, Auto industry, Blue collar workers, Exploratory factor analysis, Facility designs, Manufacturing environments, Multi-linear regression, Satisfaction model, Underlying factors, Human resource management, air quality, Article, automobile industry, blue collar worker, ergonomics, factorial analysis, human, job satisfaction, manpower, occupational safety, personnel management, priority journal, Turkey (republic), work environment, workplace
Fields of Science
0502 economics and business, 05 social sciences, 0501 psychology and cognitive sciences
Citation
WoS Q
Scopus Q

OpenCitations Citation Count
9
Source
International Journal of Industrial Ergonomics
Volume
54
Issue
Start Page
73
End Page
82
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Citations
CrossRef : 1
Scopus : 17
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Mendeley Readers : 76
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