- Title
- Artificial intelligence (AI)-assisted HRM: Towards an extended strategic framework
- Creator
- Malik, Ashish; Budhwar, Pawan; Kazmi, Bahar Ali
- Relation
- Human Resource Management Review Vol. 33, Issue 1, no. 100940
- Publisher Link
- http://dx.doi.org/10.1016/j.hrmr.2022.100940
- Publisher
- Elsevier
- Resource Type
- journal article
- Date
- 2023
- Description
- 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.
- Subject
- AI-assisted HRM; firm-level outcomes; employee-centric; organizational impacts; competencies
- Identifier
- http://hdl.handle.net/1959.13/1478233
- Identifier
- uon:50137
- Identifier
- ISSN:1053-4822
- Language
- eng
- Reviewed
- Hits: 876
- Visitors: 875
- Downloads: 0
| Thumbnail | File | Description | Size | Format |
|---|