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 |
| Journal | Human Resource Management Review |
| Volume | 33 |
| Issue number | 1 |
| Early online date | 06 Dec 2022 |
| DOIs | |
| Publication status | Published - Mar 2023 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2022 Elsevier Inc.
Keywords
- AI-assisted HRM
- Competencies
- Employee-centric
- Firm-level outcomes
- Organizational impacts
ASJC Scopus subject areas
- Applied Psychology
- Organizational Behavior and Human Resource Management
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