title: Using a Mixed Model to Evaluate Job Satisfaction in High-Tech Industries.
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.
authors.affiliation: Zhongshan Institute, University of Electronic Science and Technology of China, Guangdong, 528402, China.|College of Business Administration, Dongguan University of Technology, Guangdong, 523808, China.|Law School, Nankai University, Tianjin, 300071, China.|School of Business, Dalian University of Technology, PANJIN, 124221, China.
authors.forename: Sang-Bing
authors.initials: SB
authors.lastname: Tsai
authors.affiliation: Business School, Nankai University, Tianjin, 300071, China.
authors.forename: Chih-Yao
authors.initials: CY
authors.lastname: Huang
authors.affiliation: Zhongshan Institute, University of Electronic Science and Technology of China, Guangdong, 528402, China.|Law School, Nankai University, Tianjin, 300071, China.
authors.forename: Cheng-Kuang
authors.initials: CK
authors.lastname: Wang
authors.affiliation: Zhongshan Institute, University of Electronic Science and Technology of China, Guangdong, 528402, China.
authors.forename: Quan
authors.initials: Q
authors.lastname: Chen
authors.affiliation: College of Management and Economics, Tianjin University, Tianjin, 300072, China.
authors.forename: Jingzhou
authors.initials: J
authors.lastname: Pan
authors.affiliation: Management School, Tianjin Polytechnic University, Tianjin, 300387, China.
authors.forename: Ge
authors.initials: G
authors.lastname: Wang
authors.affiliation: Zhongshan Institute, University of Electronic Science and Technology of China, Guangdong, 528402, China.
authors.forename: Jingan
authors.initials: J
authors.lastname: Wang
authors.affiliation: School of Management, Hangzhou Dianzi University, 310018, Zhejiang, China.
authors.forename: Ta-Chia
authors.initials: TC
authors.lastname: Chin
authors.affiliation: Zhongshan Institute, University of Electronic Science and Technology of China, Guangdong, 528402, China.|Guangzhou Vocational College of Science and Technology, Guangzhou, 510550, China.
authors.forename: Li-Chung
authors.initials: LC
authors.lastname: Chang
mesh_terms: D006801:Humans; D007221:Industry / Q000191:economics / Q000706:statistics & numerical data*; D007588:Job Satisfaction; D015233:Models, Statistical; D012106:Research / Q000191:economics / Q000706:statistics & numerical data; D011795:Surveys and Questionnaires; D013672:Technology