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In light of the rapid advancement of AI technology, it is crucial to monitor the impact of AI technology on organizational structure and operations, internal business processes, customer interactions, and the business model. This paper offers a comprehensive examination of the current state of AI in talent management, exploring its impact on recruitment and selection, training and development, and performance appraisal. Despite the prevalence of AI in various industries, there is a paucity of empirical research investigating the impact of AI-driven talent management on the performance of small and medium-sized retail organisations. In order to delve deeper into the cutting-edge developments in this field, this study draws on Scopus, the leading database in the subject areas of business, management, and accounting, and applies bibliographic analysis, an advanced and rigorous research methodology for scientific data. We carefully screened the relevant literature published between 2019 and 2023 and identified the core literature groups for the study through specific keywords (artificial intelligence, recruitment and selection, training and development, performance appraisal, employee engagement). Consequently, this study examines the potential impact of AI-driven talent management on the performance of small and medium-sized retailers. Furthermore, it offers insights and recommendations for organisations and HR professionals considering the introduction of AI technologies in the workplace.
Gao et al. (Wed,) studied this question.