Abstract
Artificial intelligence (AI) affects human resource management (HRM), and in so doing, it is transforming the nature of work, workers and workplaces. While AI-assisted HRM is increasingly considered a strategy for improving organizational productivity, the academic literature has not yet offered a strategic framework to guide HR managers in adopting and implementing it. However, existing research in this area offers an opportunity to build such a framework. This systematic review of 67 peer-reviewed articles helps to achieve this objective. We critically examine the organizational and employee-centric outcomes of AI-assisted HRM and develop a strategic framework to guide its practice and future research.
| Original language | English |
|---|---|
| Article number | 100940 |
| Number of pages | 16 |
| Journal | Human Resource Management Review |
| Volume | 33 |
| Issue number | 1 |
| Early online date | 16 Nov 2022 |
| DOIs | |
| Publication status | Published - Mar 2023 |
Bibliographical note
Copyright © 2022 Elsevier Inc. This accepted manuscript version is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License [https://creativecommons.org/licenses/by-nc-nd/4.0/].Keywords
- AI-assisted HRM
- Competencies
- Employee-centric
- Firm-level outcomes
- Organizational impacts