Using a Mixed Model to Evaluate Job Satisfaction in High-Tech Industries

Sang-Bing Tsai; Chih-Yao Huang; Cheng-Kuang Wang; Quan Chen; Jingzhou Pan; Ge Wang; Jingan Wang; Ta-Chia Chin; Li-Chung Chang

doi:10.1371/journal.pone.0154071

Using a Mixed Model to Evaluate Job Satisfaction in High-Tech Industries

PLoS One. 2016 May 3;11(5):e0154071. doi: 10.1371/journal.pone.0154071. eCollection 2016.

Authors

Sang-Bing Tsai^{1

2

3

4}, Chih-Yao Huang⁵, Cheng-Kuang Wang^{1

3}, Quan Chen¹, Jingzhou Pan⁶, Ge Wang⁷, Jingan Wang¹, Ta-Chia Chin⁸, Li-Chung Chang^{1

9}

Affiliations

¹ Zhongshan Institute, University of Electronic Science and Technology of China, Guangdong, 528402, China.
² College of Business Administration, Dongguan University of Technology, Guangdong, 523808, China.
³ Law School, Nankai University, Tianjin, 300071, China.
⁴ School of Business, Dalian University of Technology, PANJIN, 124221, China.
⁵ Business School, Nankai University, Tianjin, 300071, China.
⁶ College of Management and Economics, Tianjin University, Tianjin, 300072, China.
⁷ Management School, Tianjin Polytechnic University, Tianjin, 300387, China.
⁸ School of Management, Hangzhou Dianzi University, 310018, Zhejiang, China.
⁹ Guangzhou Vocational College of Science and Technology, Guangzhou, 510550, China.

Abstract

R&D professionals are the impetus behind technological innovation, and their competitiveness and capability drive the growth of a company. However, high-tech industries have a chronic shortage of such indispensable professionals. Accordingly, reducing R&D personnel turnover has become a major human resource management challenge facing innovative companies. This study combined importance-performance analysis (IPA) with the decision-making trial and evaluation laboratory (DEMATEL) method to propose an IPA-DEMATEL model. Establishing this model involved three steps. First, an IPA was conducted to measure the importance of and satisfaction gained from job satisfaction criteria. Second, the DEMATEL method was used to determine the causal relationships of and interactive influence among the criteria. Third, a criteria model was constructed to evaluate job satisfaction of high-tech R&D personnel. On the basis of the findings, managerial suggestions are proposed.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Humans
Industry / economics
Industry / statistics & numerical data*
Job Satisfaction*
Models, Statistical*
Research / economics
Research / statistics & numerical data
Surveys and Questionnaires
Technology*

Grants and funding

This work was supported by the Academic Scientific Research Foundation for High-level Researcher at the University of Electronic Science Technology of China at Zhongshan Institute (415YKQ08). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.