Working with robots: trends and future directions

Robots are taking on a prominent role in driving organizational evolution toward industrial revolutions. While research on the role of robots in human resource management (robot-HRM) is proliferating, the literature falls short in providing a state-of-the-art overview of the progress and ways forwar...

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Main Authors: Wang, Siqi, Lim, Weng Marc, Cheah, Jun Hwa, Lim, Xin Jean
Format: Article
Language:English
Published: Elsevier 2025
Online Access:http://psasir.upm.edu.my/id/eprint/118580/
http://psasir.upm.edu.my/id/eprint/118580/1/118580.pdf
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author Wang, Siqi
Lim, Weng Marc
Cheah, Jun Hwa
Lim, Xin Jean
author_facet Wang, Siqi
Lim, Weng Marc
Cheah, Jun Hwa
Lim, Xin Jean
author_sort Wang, Siqi
building UPM Institutional Repository
collection Online Access
description Robots are taking on a prominent role in driving organizational evolution toward industrial revolutions. While research on the role of robots in human resource management (robot-HRM) is proliferating, the literature falls short in providing a state-of-the-art overview of the progress and ways forward for the field. Hence, this study aims to review and consolidate the extant literature on robot-HRM into a unified framework and provide pragmatic ways forward. To do so, this study conducts a framework-based systematic literature review by adopting the SPAR-4-SLR protocol to guide its assembling, arranging, and assessing of theories, contexts, characteristics, and methods (TCCM) of robot-HRM studies identified and retrieved from Scopus and Web of Science. In doing so, this study contributes a seminal overview of the research trends and ways forward for robot-HRM, as well as the implications for professionals to manage the embedding of robots and the interaction with employees in the workplace.
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spelling upm-1185802025-07-18T02:19:35Z http://psasir.upm.edu.my/id/eprint/118580/ Working with robots: trends and future directions Wang, Siqi Lim, Weng Marc Cheah, Jun Hwa Lim, Xin Jean Robots are taking on a prominent role in driving organizational evolution toward industrial revolutions. While research on the role of robots in human resource management (robot-HRM) is proliferating, the literature falls short in providing a state-of-the-art overview of the progress and ways forward for the field. Hence, this study aims to review and consolidate the extant literature on robot-HRM into a unified framework and provide pragmatic ways forward. To do so, this study conducts a framework-based systematic literature review by adopting the SPAR-4-SLR protocol to guide its assembling, arranging, and assessing of theories, contexts, characteristics, and methods (TCCM) of robot-HRM studies identified and retrieved from Scopus and Web of Science. In doing so, this study contributes a seminal overview of the research trends and ways forward for robot-HRM, as well as the implications for professionals to manage the embedding of robots and the interaction with employees in the workplace. Elsevier 2025 Article PeerReviewed text en cc_by_4 http://psasir.upm.edu.my/id/eprint/118580/1/118580.pdf Wang, Siqi and Lim, Weng Marc and Cheah, Jun Hwa and Lim, Xin Jean (2025) Working with robots: trends and future directions. Technological Forecasting and Social Change, 212. art. no. 123648. pp. 1-19. ISSN 0040-1625 https://linkinghub.elsevier.com/retrieve/pii/S0040162524004463 10.1016/j.techfore.2024.123648
spellingShingle Wang, Siqi
Lim, Weng Marc
Cheah, Jun Hwa
Lim, Xin Jean
Working with robots: trends and future directions
title Working with robots: trends and future directions
title_full Working with robots: trends and future directions
title_fullStr Working with robots: trends and future directions
title_full_unstemmed Working with robots: trends and future directions
title_short Working with robots: trends and future directions
title_sort working with robots: trends and future directions
url http://psasir.upm.edu.my/id/eprint/118580/
http://psasir.upm.edu.my/id/eprint/118580/
http://psasir.upm.edu.my/id/eprint/118580/
http://psasir.upm.edu.my/id/eprint/118580/1/118580.pdf