Working with robots: Trends and future directions

Wang, Siqi, Lim, Weng Marc, Cheah, Jun-Hwa ORCID: https://orcid.org/0000-0001-8440-9564 and Lim, Xin-Jean (2025) Working with robots: Trends and future directions. Technological Forecasting and Social Change, 212. ISSN 0040-1625

Preview

PDF (Working with robots: Trends and future directions) - Published Version Available under License Creative Commons Attribution. Download (2MB) | Preview

Abstract

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 robotHRM, as well as the implications for professionals to manage the embedding of robots and the interaction with employees in the workplace.

Item Type:	Article
Faculty \ School:	Faculty of Social Sciences > Norwich Business School
Depositing User:	LivePure Connector
Date Deposited:	13 Dec 2024 01:39
Last Modified:	17 Dec 2024 01:42
URI:	https://ueaeprints.uea.ac.uk/id/eprint/97987
DOI:	10.1016/j.techfore.2024.123648

Downloads

Actions (login required)

View Item