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.
Management innovation is the method with which enterprises acquire competitive advantage over their competitors, especially in current fierce competitive industry environment. Simultaneous importance-performance analysis can be used to simultaneously analyze three concepts of management innovation factors including the importance, self-expression, and the performance of competitors, so that enterprises are able to understand the status of their management innovation capability. Decision-making trial-and-evaluation laboratory is the method for enterprises to process and calculate the level of influence and causality between the indicators and subsequently determine the weight of the indicators. This study developed the 14 management innovation-based assessment indicators to evaluate a management innovation capability. In the first stage, simultaneous importance-performance analysis is used to compare the management innovation capabilities of company A and its competitors. In the second stage, decision-making trial-and-evaluation laboratory is used to analyze the influence and causality between the indicators. Finally, the strategies of management innovation are rebuilt based on the simultaneous importance-performance analysis and decision-making trial-and-evaluation laboratory analysis, which has both theoretical and practical contributions.
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