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Article
Publication date: 3 May 2021

Vijay Pereira, Cary L. Cooper, Rajesh Chandwani, Arup Varma and Shlomo Yedidia Y. Tarba

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Journal of Knowledge Management, vol. 25 no. 3
Type: Research Article
ISSN: 1367-3270

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Open Access
Article
Publication date: 28 July 2021

Ahmad Arslan, Cary Cooper, Zaheer Khan, Ismail Golgeci and Imran Ali

This paper aims to specifically focus on the challenges that human resource management (HRM) leaders and departments in contemporary organisations face due to close interaction…

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Abstract

Purpose

This paper aims to specifically focus on the challenges that human resource management (HRM) leaders and departments in contemporary organisations face due to close interaction between artificial intelligence (AI) (primarily robots) and human workers especially at the team level. It further discusses important potential strategies, which can be useful to overcome these challenges based on a conceptual review of extant research.

Design/methodology/approach

The current paper undertakes a conceptual work where multiple streams of literature are integrated to present a rather holistic yet critical overview of the relationship between AI (particularly robots) and HRM in contemporary organisations.

Findings

We highlight that interaction and collaboration between human workers and robots is visible in a range of industries and organisational functions, where both are working as team members. This gives rise to unique challenges for HRM function in contemporary organisations where they need to address workers' fear of working with AI, especially in relation to future job loss and difficult dynamics associated with building trust between human workers and AI-enabled robots as team members. Along with these, human workers' task fulfilment expectations with their AI-enabled robot colleagues need to be carefully communicated and managed by HRM staff to maintain the collaborative spirit, as well as future performance evaluations of employees. The authors found that organisational support mechanisms such as facilitating environment, training opportunities and ensuring a viable technological competence level before organising human workers in teams with robots are important. Finally, we found that one of the toughest challenges for HRM relates to performance evaluation in teams where both humans and AI (including robots) work side by side. We referred to the lack of existing frameworks to guide HRM managers in this concern and stressed the possibility of taking insights from the computer gaming literature, where performance evaluation models have been developed to analyse humans and AI interactions while keeping the context and limitations of both in view.

Originality/value

Our paper is one of the few studies that go beyond a rather general or functional analysis of AI in the HRM context. It specifically focusses on the teamwork dimension, where human workers and AI-powered machines (robots) work together and offer insights and suggestions for such teams' smooth functioning.

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International Journal of Manpower, vol. 43 no. 1
Type: Research Article
ISSN: 0143-7720

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Abstract

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Journal of Managerial Psychology, vol. 39 no. 3
Type: Research Article
ISSN: 0268-3946

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Abstract

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Journal of Organizational Effectiveness: People and Performance, vol. 10 no. 4
Type: Research Article
ISSN: 2051-6614

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Cross Cultural & Strategic Management, vol. 30 no. 1
Type: Research Article
ISSN: 2059-5794

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Article
Publication date: 20 April 2010

Ben Moss

55

Abstract

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Strategic HR Review, vol. 9 no. 3
Type: Research Article
ISSN: 1475-4398

Abstract

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Journal of Managerial Psychology, vol. 15 no. 1
Type: Research Article
ISSN: 0268-3946

Keywords

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Book part
Publication date: 22 November 2012

Abstract

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Advances in Mergers and Acquisitions
Type: Book
ISBN: 978-1-78190-460-2

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Book part
Publication date: 1 January 2012

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Advances in Mergers and Acquisitions
Type: Book
ISBN: 978-1-78052-196-1

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Book part
Publication date: 24 August 2023

Abstract

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Advances in Mergers and Acquisitions
Type: Book
ISBN: 978-1-83753-861-4

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