Employee experience –the missing link for engaging employees: Insights from an MNE's AI-based HR ecosystem

Ashish Malik*, Pawan Budhwar, Hrishi Mohan, Srikanth N. R.

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


Abstract: Analyzing multiple data sources from a global information technology (IT) consulting multinational enterprise (MNE), this research unpacks the configuration of a digitalized HR ecosystem of artificial intelligence(AI)‐assisted human resource management (HRM) applications and HR platforms. This study develops a novel theoretical framework mapping the nature and purpose of a digitalized AI‐assisted HR ecosystem for delivering exceptional employee experience (EX), an antecedent to employee engagement (EE). Employing the theoretical lenses of EX, EE, AI‐mediated social exchange, and engagement platforms, this study's overarching aim of this article is to establish how AI‐assisted HRM fits into an organization's ecosystem and, second, how it impacts EX and EE. Our findings show that AI‐assisted applications for HRM enhance EX and, thus, EE. We also see increases in employee productivity and HR function's effectiveness. Implications for research and practice are also discussed.
Original languageEnglish
Pages (from-to)97-115
JournalHuman Resource Management
Issue number1
Early online date20 Jul 2022
Publication statusPublished - 1 Jan 2023

Bibliographical note

© 2022 The Authors. Human Resource Management published by Wiley Periodicals LLC.

This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.


  • HR ecosystem
  • India
  • artificial intelligence applications
  • employee experience
  • engagement
  • engagement platforms
  • hyper-personalization
  • individualization


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