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

Ashish Malik; Pawan Budhwar; Bahar Ali Kazmi

doi:10.1016/j.hrmr.2022.100940

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

Ashish Malik^*, Pawan Budhwar, Bahar Ali Kazmi

^*Corresponding author for this work

Research output: Contribution to journal › Editorial › peer-review

51 Citations (Scopus)

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	https://doi.org/10.1016/j.hrmr.2022.100940
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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10.1016/j.hrmr.2022.100940Licence: Unspecified

Cite this

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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.",

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KW - Firm-level outcomes

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

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this