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

被引:18
|
作者
Li, Jia-Min [1 ]
Wu, Tung-Ju [2 ]
Wu, Yenchun Jim [3 ,4 ]
Goh, Mark [5 ]
机构
[1] Northeastern Univ, Sch Business Adm, Shenyang, Peoples R China
[2] Harbin Inst Technol, Sch Management, Harbin, Peoples R China
[3] Natl Taipei Univ Educ, MBA Program Southeast Asia, Taipei, Taiwan
[4] Natl Taiwan Normal Univ, Grad Inst Global Business & Strategy, Taipei, Taiwan
[5] Natl Univ Singapore, NUS Business Sch & TLI AP, Singapore, Singapore
基金
中国国家自然科学基金;
关键词
Human-machine collaboration; Systematic review; Bibliometric analysis; Literature review; ARTIFICIAL-INTELLIGENCE; INFORMATION-TECHNOLOGY; FIRM PERFORMANCE; USER ACCEPTANCE; BIG DATA; MANAGEMENT; HRM; ANALYTICS; KNOWLEDGE; INNOVATION;
D O I
10.1108/MD-09-2022-1183
中图分类号
F [经济];
学科分类号
02 ;
摘要
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.
引用
收藏
页码:2920 / 2944
页数:25
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