Open AccessUsing a Mixed Model to Evaluate Job Satisfaction in High-Tech Industries
Author(s) -
Sang-Bing Tsai,
Chih-Yao Huang,
Cheng-Kuang Wang,
Quan Chen,
Jingzhou Pan,
Ge Wang,
Jingan Wang,
Tachia Chin,
Li-Chung Chang
Publication year - 2016
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0154071
Subject(s) - economic shortage , job satisfaction , business , human resource management , human resources , knowledge management , high tech , marketing , operations management , process management , computer science , management , engineering , economics , linguistics , philosophy , government (linguistics) , political science , law
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.