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Using a Mixed Model to Evaluate Job Satisfaction in High-Tech Industries
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 majo...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4854457/ https://www.ncbi.nlm.nih.gov/pubmed/27139697 http://dx.doi.org/10.1371/journal.pone.0154071 |
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author | Tsai, Sang-Bing Huang, Chih-Yao Wang, Cheng-Kuang Chen, Quan Pan, Jingzhou Wang, Ge Wang, Jingan Chin, Ta-Chia Chang, Li-Chung |
author_facet | Tsai, Sang-Bing Huang, Chih-Yao Wang, Cheng-Kuang Chen, Quan Pan, Jingzhou Wang, Ge Wang, Jingan Chin, Ta-Chia Chang, Li-Chung |
author_sort | Tsai, Sang-Bing |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4854457 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-48544572016-05-07 Using a Mixed Model to Evaluate Job Satisfaction in High-Tech Industries Tsai, Sang-Bing Huang, Chih-Yao Wang, Cheng-Kuang Chen, Quan Pan, Jingzhou Wang, Ge Wang, Jingan Chin, Ta-Chia Chang, Li-Chung PLoS One Research Article 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. Public Library of Science 2016-05-03 /pmc/articles/PMC4854457/ /pubmed/27139697 http://dx.doi.org/10.1371/journal.pone.0154071 Text en © 2016 Tsai et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Tsai, Sang-Bing Huang, Chih-Yao Wang, Cheng-Kuang Chen, Quan Pan, Jingzhou Wang, Ge Wang, Jingan Chin, Ta-Chia Chang, Li-Chung Using a Mixed Model to Evaluate Job Satisfaction in High-Tech Industries |
title | Using a Mixed Model to Evaluate Job Satisfaction in High-Tech Industries |
title_full | Using a Mixed Model to Evaluate Job Satisfaction in High-Tech Industries |
title_fullStr | Using a Mixed Model to Evaluate Job Satisfaction in High-Tech Industries |
title_full_unstemmed | Using a Mixed Model to Evaluate Job Satisfaction in High-Tech Industries |
title_short | Using a Mixed Model to Evaluate Job Satisfaction in High-Tech Industries |
title_sort | using a mixed model to evaluate job satisfaction in high-tech industries |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4854457/ https://www.ncbi.nlm.nih.gov/pubmed/27139697 http://dx.doi.org/10.1371/journal.pone.0154071 |
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