Malik, Ashish, Budhwar, Pawan, Mohan, Hrishi and N. R., Srikanth (2023). Employee experience –the missing link for engaging employees: Insights from an MNE's AI-based HR ecosystem. Human Resource Management, 62 (1), pp. 97-115.
Abstract
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.
Publication DOI: | https://doi.org/10.1002/hrm.22133 |
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Divisions: | College of Business and Social Sciences > Aston Business School > Work & Organisational Psychology College of Business and Social Sciences > Aston Business School > Aston India Centre for Applied Research College of Business and Social Sciences > Aston Business School > Aston India Foundation for Applied Research College of Business and Social Sciences > Aston Business School |
Additional Information: | © 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. |
Uncontrolled Keywords: | HR ecosystem,India,artificial intelligence applications,employee experience,engagement,engagement platforms,hyper-personalization,individualization,Applied Psychology,Strategy and Management,Organizational Behavior and Human Resource Management,Management of Technology and Innovation |
Publication ISSN: | 1099-050X |
Last Modified: | 18 Nov 2024 08:30 |
Date Deposited: | 21 Jul 2022 13:48 |
Full Text Link: | |
Related URLs: |
https://onlinel ... .1002/hrm.22133
(Publisher URL) http://www.scop ... tnerID=8YFLogxK (Scopus URL) |
PURE Output Type: | Article |
Published Date: | 2023-01-01 |
Published Online Date: | 2022-07-20 |
Accepted Date: | 2022-06-09 |
Submitted Date: | 2021-01-01 |
Authors: |
Malik, Ashish
Budhwar, Pawan ( 0000-0001-8915-6172) Mohan, Hrishi N. R., Srikanth |