Abstract
The high-technology industry is capital-, technology-, and knowledge-intensive and considerably emphasizes the speed of innovations. Continual updates and upgrades to technology are required for maintaining competitiveness. Research and development (R&D) personnel are core personnel in high-technology industries, but they are insufficient in number. Reducing R&D personnel turnover has become a key topic in the human resource management of innovative enterprises. Numerous studies have verified that low job satisfaction weakens employee morale and organizational commitment, leading to a high turnover rate. To examine the assessment criteria for the job satisfaction of R&D personnel in high-technology industries, fuzzy theory and decision making trial and evaluation laboratory (DEMATEL) were combined into a novel fuzzy–DEMATEL model. First, fuzzy theory was used to examine job satisfaction criteria and fuzzy semantic analysis. Second, the fuzzy–DEMATEL model was used to calculate causal relationships and the degree of influence among all of the criteria. Finally, a model for assessing the job satisfaction of R&D personnel in high-technology industries was developed. The findings of this paper are theoretically innovative and practically applicable to the high-technology industry.
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