Systematic literature review of human–machine collaboration in organizations using bibliometric analysis

Jia Min Li, Tung Ju Wu, Yenchun Jim Wu*, Mark Goh

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

17 Citations (Scopus)

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 languageEnglish
Pages (from-to)2920-2944
Number of pages25
JournalManagement Decision
Volume61
Issue number10
DOIs
Publication statusPublished - 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

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