Enhancing Talent Retention in Work 4.0 Era: An Improved Fuzzy Analytical Hierarchy Process and Fuzzy Decision-Making Trial and Evaluation Laboratory Methodology

This study addresses the critical need for effective Talent Retention (TR) strategies in the context of Work 4.0, which is characterized by rapid technological advances and significant demographic changes. It identifies a gap in the existing literature regarding the complex factors influencing TR in a digitalized and globalized work environment. To bridge this gap, the research employs a hybrid Multi-Criteria Decision-Making (MCDM) approach, integrating the Fuzzy Analytical Hierarchy Process (FAHP), the Decision-Making Trial and Evaluation Laboratory (DEMATEL), and Similarity Aggregation Method (SAM). This methodological framework enables a nuanced evaluation of TR criteria and the exploration of their causal relationships. The study reveals key TR criteria such as "compensation and benefits", "competency mapping", "work-life balance", "reward and recognition", and "promotion and opportunity for growth". These criteria are critically analyzed for their influence on TR in the evolving workplace. Additionally, three tailored algorithms were developed to enhance the implementation of the FAHP-SAM and fuzzy DEMATEL methods, providing clear, efficient criteria evaluation and effective visualization of inter-criteria relationships. Key results from the study indicate that these TR criteria are pivotal in shaping organizational strategies for talent management in Work 4.0. The findings contribute substantially to human resource development, offering empirical insights that aid in crafting forward-looking policies and strategies for maintaining a resilient and competent workforce in a continuously shifting environment.