Display options
Cite
Tsai SB, Huang CY, Wang CK, et al. Using a Mixed Model to Evaluate Job Satisfaction in High-Tech Industries. PLoS One. 2016;11(5):e0154071doi: 10.1371/journal.pone.0154071.
Tsai, S. B., Huang, C. Y., Wang, C. K., Chen, Q., Pan, J., Wang, G., Wang, J., Chin, T. C., & Chang, L. C. (2016). Using a Mixed Model to Evaluate Job Satisfaction in High-Tech Industries. PloS one, 11(5), e0154071. https://doi.org/10.1371/journal.pone.0154071
Tsai, Sang-Bing, et al. "Using a Mixed Model to Evaluate Job Satisfaction in High-Tech Industries." PloS one vol. 11,5 (2016): e0154071. doi: https://doi.org/10.1371/journal.pone.0154071
Tsai SB, Huang CY, Wang CK, Chen Q, Pan J, Wang G, Wang J, Chin TC, Chang LC. Using a Mixed Model to Evaluate Job Satisfaction in High-Tech Industries. PLoS One. 2016 May 03;11(5):e0154071. doi: 10.1371/journal.pone.0154071. eCollection 2016. PMID: 27139697; PMCID: PMC4854457.
Copy Download .nbib Format: NLM
Share it on

PLoS One. 2016 May 03;11(5):e0154071. doi: 10.1371/journal.pone.0154071. eCollection 2016.

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

PloS one

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

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.

PMID: 27139697 PMCID: PMC4854457 DOI: 10.1371/journal.pone.0154071

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.

References

  1. PLoS One. 2015;10(6):e0129153 - PubMed
  2. Hist Human Sci. 2011;24(2):103-19 - PubMed

MeSH terms

Publication Types