Artificial Intelligence Integration for Employee Engagement: A Review to Redefine Predictors

DOI

10.2991/978-94-6463-544-7_13How to use a DOI?

Keywords

Artificial Intelligence; Employee engagement; Technology; HRM; Gamification

Abstract

The breath-taking pace of advancements in information technology has reflected profound transformation in the way firms operate. Artificial Intelligence (AI), a novel technology, is fundamentally modifying corporate operations; as an outcome of these advances, Human Resource Management (HRM) has undergone paradigm shift in light of these advancements. However, implementing these technologies would be quite challenging with the absence of engagement levels of employee. Employee engagement is a key driver that contributes to employee’s productivity as disengagement of employees has a negative effect on business’s financial success. The incorporation of AI facilitates increased employee engagement in the workplace. The present study utilised the combination of narrative review method and word cloud based on selected 156 research papers to conduct the review. The outcomes of the study demonstrate word cloud that assist to identify the AI technologies and predictors of employee engagement. With the help of narrative review, the research investigates the transformed definitions of predictors of employee engagement in the age of AI.

Implementing AI with HR functions has redefined the determinants of employee engagement including learning, motivation, workplace communication, employee performance, and employee retention, create an impact on engagements levels of employees by giving them a swift and fantastic experience while carrying their specific responsibilities.

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  - Sakshi Kheterpal
AU  - Ashita Chadha
AU  - Afia Shabi
PY  - 2024
DA  - 2024/10/17
TI  - Artificial Intelligence Integration for Employee Engagement: A Review to Redefine Predictors
BT  - Proceedings of the 2nd International Conference on Emerging Technologies and Sustainable Business Practices-2024 (ICETSBP 2024)
PB  - Atlantis Press
SP  - 189
EP  - 205
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-544-7_13
DO  - 10.2991/978-94-6463-544-7_13
ID  - Kheterpal2024
ER  -