In recent years, the ideas of emotional intelligence and artificial intelligence have gained a lot of traction in the relevant literature. This study investigates the impact of artificial intelligence (AI) and emotional intelligence (EI) on the work-life balance (WLB) of police personnel through a comprehensive secondary data analysis. Utilizing bibliometric analysis, the research systematically and critically examines existing literature on intelligence and WLB. Based on 91 research papers sourced from the Scopus database, the study analyzes publication trends, theoretical foundations, highly referenced publications, and journals, frequently applied keywords, and key topics of inquiry within prominent clusters. Additionally, a thematic overview of the Intelligence and the Work-life Balance body of work developed through bibliographic coupling is provided. Content analysis of recent publications highlights potential research gaps and emerging trends. The findings reveal a blend of established and evolving research themes, broadening knowledge of the useful effects of AI and EI on work-life balance in law enforcement. This article stands out as the first to employ diverse bibliographic mapping techniques, offering a broad perspective on the Intelligence and WLB corpus while suggesting Possible recommendations for further investigation.
dubey et al. (Thu,) studied this question.
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