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

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Publicly Funded

No
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Average
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Average
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Top 10%

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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.

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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

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OpenCitations Citation Count
9

Source

International Journal of Industrial Ergonomics

Volume

54

Issue

Start Page

73

End Page

82
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CrossRef : 1

Scopus : 17

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Mendeley Readers : 76

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