Integration of emotional intelligence and artificial intelligence for generation Z workforce: A bibliometric analysis and conceptual review

Background Grounded in conceptual review and bibliometric analysis, this study examines the emerging intersection of Artificial Intelligence adoption and Emotional Intelligence as in the workplace, with particular attention to generation Z employees. Objective The purpose of this research is to examine the mechanism, structural pattern dominating the integrated framework of AI adoption and EI and their relevance to Generation Z work outcomes and well-being. Method This scientific review integrated conceptual review of 45 studies and Bibliometric analysis of 103 Scopus data published during 2015–2026, through secondary data collection from electronic data-bases including Scopus, Science Direct, and Google Scholar. Bibliometrix package and Biblioshiny in R package were used for data visualization and Scientometric analysis. Result The review highlights the emerging themes, contributions, and structural patterns linking AI, EI, organizational support, and workplace outcomes, revealing that context of generation Z remains almost under explored with in AI-EI literature. An integrated conceptual framework proposed based on combined evidences. Conclusion This study provides a theoretical basis for AI-EI workplace literature and identifies generation Z as an under explored contextual dimension and encourage future empirical research while providing actionable advice for HR leaders and policymakers within tech-enabled workplaces.

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Publication Details

Journal
Human Systems Management
Published
2026-10-18
DOI
https://doi.org/10.1177/01672533261500023
Primary Topic
AI and HR Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Integration of emotional intelligence and artificial intelligence for generation Z workforce: A bibliometric analysis and conceptual review

R. Lathangi, Lopamudra Behera
Human Systems Management
AI and HR Technologies
article

Integration of emotional intelligence and artificial intelligence for generation Z workforce: A bibliometric analysis and conceptual review

R. Lathangi, Lopamudra Behera
article en

Abstract

Background Grounded in conceptual review and bibliometric analysis, this study examines the emerging intersection of Artificial Intelligence adoption and Emotional Intelligence as in the workplace, with particular attention to generation Z employees. Objective The purpose of this research is to examine the mechanism, structural pattern dominating the integrated framework of AI adoption and EI and their relevance to Generation Z work outcomes and well-being. Method This scientific review integrated conceptual review of 45 studies and Bibliometric analysis of 103 Scopus data published during 2015–2026, through secondary data collection from electronic data-bases including Scopus, Science Direct, and Google Scholar. Bibliometrix package and Biblioshiny in R package were used for data visualization and Scientometric analysis. Result The review highlights the emerging themes, contributions, and structural patterns linking AI, EI, organizational support, and workplace outcomes, revealing that context of generation Z remains almost under explored with in AI-EI literature. An integrated conceptual framework proposed based on combined evidences. Conclusion This study provides a theoretical basis for AI-EI workplace literature and identifies generation Z as an under explored contextual dimension and encourage future empirical research while providing actionable advice for HR leaders and policymakers within tech-enabled workplaces.

Human Systems Management
Presidency University (IN), Presidency University
Openalex Percentile: Top 6%
AI and HR Technologies
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