Tiwari, Saurabh and Yadav, Manish (2026) Human–Machine Collaboration for Organizations: A Review. In: Industry 5.0: Pioneering Business and Management Transformations. Emerald Publishing Limited. ISBN 978183608-8271 (In Press)
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Intelligent robots are becoming more and more common in the workplace and in society as a result of the digital economy’s explosive growth. Human–machine collaboration (HM-C) has replaced human–machine coexistence and cooperation in the case of intelligent machines (IM) and humans.The term “human–machine collaboration” describes a relationship in which people work in tandem with intelligent robots to accomplish routine and repetitive activities, freeing up humans to tackle more complicated jobs. Even if intelligent robots are becoming more and more capable of doing a wider range of jobs, workers cannot be entirely replaced by clever machines. Thus, going forward, many organizations will rely heavily on HM-C. This originated from artificial intelligence (AI) when it first came into being as a term, but is now being extended to other fields, such as organizational management and human resource management (HRM), where it has also established the link between workers and robots. To put it briefly, IM work alongside humans as coworkers in the workplace. Next, how employee attitude and behavior are impacted by HM-C. The usage of IM has drawbacks. Employee job instability and psychological stress may rise, yet workload may decrease, and productivity may rise. This chapter uses the literature to help organize recent research advancements in the area of HM-C. It also provides suggestions for further research and draws attention to important knowledge gaps.
| Item Type: | Book Section |
|---|---|
| Subjects: | Physical, Life and Health Sciences > Engineering and Technology |
| JGU School/Centre: | Jindal School of Banking and Finance |
| Depositing User: | Mr. Luckey Pathan |
| Date Deposited: | 20 Feb 2026 09:50 |
| Last Modified: | 20 Feb 2026 09:50 |
| Official URL: | https://doi.org/10.1108/978-1-83608-826-420261008 |
| URI: | https://pure.jgu.edu.in/id/eprint/10940 |
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