Systematic literature review of human–machine collaboration in organizations using bibliometric analysis
ISSN: 0025-1747
Article publication date: 14 February 2023
Issue publication date: 24 October 2023
Abstract
Purpose
This study aims to systematically map the state of work on human–machine collaboration in organizations using bibliometric analysis.
Design/methodology/approach
The authors used a systematic literature review to survey 111 articles on human–machine collaboration published in leading journals to categorize the theories used and to construct a framework of human–machine collaboration in organizations. A bibliometric analysis is applied to statistically evaluate the published materials and measure the influence of the publications using co-citation, coupling and keyword analyses.
Findings
The results inform that the research on human–machine collaboration in the organizational field is targeted at four aspects: performance, innovation, human resource management and information technology (IT).
Originality/value
This work is the first exploratory piece to assess the extent and depth of research on human–machine collaboration.
Keywords
Acknowledgements
This research was funded by the Natural Science Foundation of Heilongjiang Province (No: YQ2021G004), the National Natural Science Foundation of China (No: 72131005, 71972062 and 71702059), the Fundamental Research Funds for the Central Universities in Harbin Institute of Technology and National College Student Innovation and Entrepreneurship Training Program of China (No: CY2023002).
Citation
Li, J.-M., Wu, T.-J., Wu, Y.J. and Goh, M. (2023), "Systematic literature review of human–machine collaboration in organizations using bibliometric analysis", Management Decision, Vol. 61 No. 10, pp. 2920-2944. https://doi.org/10.1108/MD-09-2022-1183
Publisher
:Emerald Publishing Limited
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