AI-Powered HR: Enhancing Employee Experience and Engagement

K. Jayalakshmi () and N. Jayanthi
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K. Jayalakshmi: Vels Institution of Science Technology & Advanced Studies (VISTAS), Research Scholar (MBA Department)
N. Jayanthi: Vels Institution of Science Technology & Advanced Studies (VISTAS), Assistant Professor (MBA department)

A chapter in Proceedings of the International Conference on Digital Transformation in Business: Navigating the New Frontiers Beyond Boundaries (DTBNNF 2024), 2024, pp 281-294 from Springer

Abstract: Abstract Human Resources (HR) to optimize employee experience (EX) and engagement within organizations. Leveraging implications systematic analysis and bibliometric methodologies, this research aims to elucidate the current landscape, trends, and of AI-driven HR interventions on employee-centric outcomes. The systematic analysis delves into the existing literature, identifying and synthesizing studies that highlight the multifaceted roles of AI in reshaping HR functions to foster enriched employee experiences. Furthermore, the bibliometric analysis offers a quantitative assessment of the scholarly publications, revealing patterns, key thematic clusters, and influential works in the domain of AI-powered HR and its impact on employee engagement. Findings from this study demonstrate the evolving landscape of AI applications within HR, emphasizing its potential to revolutionize talent acquisition, performance management, learning and development, and overall workplace culture. Insights gleaned from the systematic review and bibliometric analysis offer a nuanced understanding of the prevalent trends, emergent themes, and future directions for research and practical implementation. In conclusion, this research underscores the transformative capacity of AI-driven HR initiatives in cultivating a more engaging and fulfilling work environment for employees, providing valuable insights for HR professionals, researchers, and organizational leaders seeking to leverage technological advancements to enhance the employee experience.

Keywords: Artificial Intelligence; HR Technology; Employee Experience; Employee Engagement; Systematic Analysis; Bibliometric Analysis; Workplace Innovation (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-433-4_20

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DOI: 10.2991/978-94-6463-433-4_20

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