Artificial intelligence (AI)-assisted HRM: Towards an extended strategic framework

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

		Thumbnail	File	Description	Size	Format