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.
Original language | English |
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Pages (from-to) | 2920-2944 |
Number of pages | 25 |
Journal | Management Decision |
Volume | 61 |
Issue number | 10 |
DOIs | |
Publication status | Published - 2023 Oct 24 |
Keywords
- Bibliometric analysis
- Human-machine collaboration
- Literature review
- Systematic review
ASJC Scopus subject areas
- General Business,Management and Accounting
- Management Science and Operations Research