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

Abstract

PurposeThis study aims to systematically map the state of work on human–machine collaboration in organizations using bibliometric analysis.Design/methodology/approachThe 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.FindingsThe 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/valueThis work is the first exploratory piece to assess the extent and depth of research on human–machine collaboration.