Working with robots
Trends and future directions
Bibliographic Data
| ID | 21402540 |
|---|---|
| Authors | Siqi Wang (0000-0001-6237-0099, Qingdao University), Weng Marc Lim (0000-0001-7196-1923, Arizona State University, corresponding author), Jun‐hwa Cheah (0000-0001-8440-9564, University of East Anglia), Xin-Jean Lim (0000-0002-6794-3607, Universiti Putra Malaysia) |
| Year | 2025 |
| Volume | 212 |
| Pages | 123648 |
| Publication date | 2025-03-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Technological Forecasting and Social Change (JOURNAL) |
| Journal identifiers | ISSN: 0040-1625 • E-ISSN: 1873-5509 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.techfore.2024.123648 |
| OpenAlex | W4405266487 |
| Language | EN |
| Citations received | 6 |
| References cited | 136 |
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. • Clarifies robot-HRM's advancing role. • Consolidates key robot-HRM studies. • Reveals pathways for robot-HRM's future. • Guides HR on robotic integration
Data science · Robot · AI in Service Interactions · Artificial Intelligence · Artificial Intelligence in Healthcare and Education · Computer Science · Ethics and Social Impacts of AI
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| Citations per year | 6 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |