AI-Powered HR: Enhancing Employee Experience and Engagement

DOI

10.2991/978-94-6463-433-4_20How to use a DOI?

Keywords

Artificial Intelligence; HR Technology; Employee Experience; Employee Engagement; Systematic Analysis; Bibliometric Analysis; Workplace Innovation

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.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - K. Jayalakshmi
AU  - N. Jayanthi
PY  - 2024
DA  - 2024/06/03
TI  - AI-Powered HR: Enhancing Employee Experience and Engagement
BT  - Proceedings of the International Conference on Digital Transformation in Business: Navigating the New Frontiers Beyond Boundaries (DTBNNF 2024)
PB  - Atlantis Press
SP  - 281
EP  - 294
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-433-4_20
DO  - 10.2991/978-94-6463-433-4_20
ID  - Jayalakshmi2024
ER  -