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Cyborging HRM theory: from evolution to revolution – the challenges and trajectories for the future role of HRM

Cyborging HRM theory: from evolution to revolution – the challenges and trajectories for the future role of HRM
Cyborging HRM theory: from evolution to revolution – the challenges and trajectories for the future role of HRM
Purpose: Human Resource Management (HRM) is a critical organizational function, which has continued to evolve. We aim to explore how different HRM will be in the workplace of the future and why, from both strategic and practical perspectives. We present and discuss core HRM practices, such as recruitment, selection and training, as well as peripheral activities, such as monitoring health and safety, and diversity management, reflecting on how they may transform in the workplace of the future.

Design/methodology/approach: this is a conceptual thought piece, building on the Substitution, Augmentation, Modification and Redefinition (SAMR) model, to offer a futuristic view of HRM in the era of AI.

Findings: discussing the contemporary challenges of Artificial Intelligence, which we predict will lead to what we term Cyborging HRM.

Practical implications: this study can help HR managers and practitioners to be prepared for AI-embedded HRM systems in the future. For academics, it offers an innovative framework to establish future writing on HRM in the AI era.

Originality/value: AI is pushing HRM and the profession will have to undergo a revolutionary rather than evolutionary transformation in order to remain a necessary and valuable function for organizations. Our elaboration of the SAMR model and suggested implications for the future transformation of HRM should be worthwhile to organizations, management and the wider society.
Artificial intelligence, ChatGPT, Future workplace, HRM, SAMR model
0048-3486
Rabenu, Edna
c2473aa4-efcd-434d-807b-f402e984a1d6
Baruch, Yehuda
25b89777-def4-4958-afdc-0ceab43efe8a
Rabenu, Edna
c2473aa4-efcd-434d-807b-f402e984a1d6
Baruch, Yehuda
25b89777-def4-4958-afdc-0ceab43efe8a

Rabenu, Edna and Baruch, Yehuda (2024) Cyborging HRM theory: from evolution to revolution – the challenges and trajectories for the future role of HRM. Personnel Review. (doi:10.1108/PR-02-2024-0111).

Record type: Article

Abstract

Purpose: Human Resource Management (HRM) is a critical organizational function, which has continued to evolve. We aim to explore how different HRM will be in the workplace of the future and why, from both strategic and practical perspectives. We present and discuss core HRM practices, such as recruitment, selection and training, as well as peripheral activities, such as monitoring health and safety, and diversity management, reflecting on how they may transform in the workplace of the future.

Design/methodology/approach: this is a conceptual thought piece, building on the Substitution, Augmentation, Modification and Redefinition (SAMR) model, to offer a futuristic view of HRM in the era of AI.

Findings: discussing the contemporary challenges of Artificial Intelligence, which we predict will lead to what we term Cyborging HRM.

Practical implications: this study can help HR managers and practitioners to be prepared for AI-embedded HRM systems in the future. For academics, it offers an innovative framework to establish future writing on HRM in the AI era.

Originality/value: AI is pushing HRM and the profession will have to undergo a revolutionary rather than evolutionary transformation in order to remain a necessary and valuable function for organizations. Our elaboration of the SAMR model and suggested implications for the future transformation of HRM should be worthwhile to organizations, management and the wider society.

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Cyborging HRM in Per Rev As accepted - Accepted Manuscript
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More information

Accepted/In Press date: 20 September 2024
e-pub ahead of print date: 8 October 2024
Keywords: Artificial intelligence, ChatGPT, Future workplace, HRM, SAMR model

Identifiers

Local EPrints ID: 494784
URI: http://eprints.soton.ac.uk/id/eprint/494784
ISSN: 0048-3486
PURE UUID: 4c71a564-cf8f-4cf2-9d6f-43823030bb91
ORCID for Yehuda Baruch: ORCID iD orcid.org/0000-0002-0678-6273

Catalogue record

Date deposited: 15 Oct 2024 16:46
Last modified: 19 Oct 2024 01:46

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Contributors

Author: Edna Rabenu
Author: Yehuda Baruch ORCID iD

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