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Bibliometric analysis reveals shifts in employee retention strategies in the context of digital transformation and AI.
In the context of widespread digital transformation, retaining talent, especially technical personnel, has become a strategic challenge for global enterprises. This study applies bibliometric analysis on 471 academic publications extracted from the Scopus database for the period 2020 to 2025, processed using the Bibliometrix/Biblioshiny tool. The results indicate a clear shift in the research landscape from traditional theoretical frameworks such as job satisfaction, organizational commitment, and turnover intention toward more multidimensional approaches, where digital transformation, artificial intelligence, ESG, and employee experience play central roles. Keyword mapping, co-occurrence analysis, and thematic evolution mapping confirm the convergence of interdisciplinary research, while also highlighting a significant gap in studies related to the retention of technical personnel, a labor group directly impacted by automation and Industry 4.0 technologies yet insufficiently explored in current literature. Based on these findings, the study proposes an integrated approach that connects digital technology, sustainable development, and employee wellbeing to build new theoretical frameworks and empirical evidence for talent retention in the digital age.
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Mung et al. (2025) studied this question.
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