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.
Original language | English |
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Article number | 123648 |
Journal | Technological Forecasting and Social Change |
Volume | 212 |
Early online date | 11 Dec 2024 |
DOIs | |
Publication status | E-pub ahead of print - 11 Dec 2024 |