Exploring the ethical implications of AI in talent management: perspectives from medium and large enterprises

Abstract

Purpose The research aims to examine the impacts of Artificial Intelligence (AI) on the talent management (TM) process in an organization. The study also aims to determine how AI support in preselection, AI support in organizational culture (OC), AI support in interviews and AI support in reducing workload impact TM in medium and large-sized sectors and explore how TM impacts Employee performance (EP) in medium-sized sectors. Design/methodology/approach The study used Matlab and the Structured Equation Modelling (SEM) analysis approach to evaluate the data. IBM SPSS Statistics was used for reliability analysis and descriptive statistics. The measurement model was utilized to evaluate reliability and validity, and the SEM was employed to examine the proposed relationship. Findings The study identified a statistically significant positive association between TM, Preselection (PS), OC and Workload (WL). This underscores the pivotal role played by AI in enhancing these facets of TM. This finding suggests that while AI technologies contribute positively to various stages of TM, their impact on the interview process may not be as pronounced or may require further exploration. Originality/value Concluding this, the comprehensive analysis of the impact of AI on the TM technique within medium and large-sized enterprises has revealed intriguing insights. The study identified a statistically significant positive association between TM, PS, OC and WL. Notably, the study did not establish a statistically significant connection between TM and IN (Interviews).

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