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

Area of Science:

• Human Resource Management
• Organizational Psychology
• Innovation Management

Background:

• High-tech industries face a persistent shortage of R&D professionals, critical for technological innovation and company growth.
• R&D personnel turnover presents a significant human resource management challenge for innovative companies.
• Retaining skilled R&D staff is essential for sustained competitiveness and development.

Purpose of the Study:

• To propose and validate an integrated model for evaluating the job satisfaction of R&D personnel in high-tech sectors.
• To identify key drivers of job satisfaction and their interrelationships.
• To provide data-driven managerial recommendations for reducing R&D personnel turnover.

Main Methods:

• Combined Importance-Performance Analysis (IPA) and Decision-Making Trial and Evaluation Laboratory (DEMATEL) methods.
• IPA was used to assess the importance and satisfaction levels of job satisfaction criteria.
• DEMATEL was employed to analyze the causal relationships and interactive influences among these criteria.

Main Results:

• The study established an IPA-DEMATEL model to systematically evaluate job satisfaction for R&D personnel.
• Identified specific job satisfaction criteria and their relative importance and performance.
• Uncovered the complex causal and interactive relationships influencing R&D personnel job satisfaction.

Conclusions:

• The developed IPA-DEMATEL model offers a robust framework for understanding and improving R&D personnel job satisfaction.
• Findings provide actionable insights for human resource management strategies aimed at mitigating turnover.
• Recommendations focus on enhancing job satisfaction to foster a more stable and productive R&D workforce.