独创性
人力资源
知识管理
构造(python库)
人力资源管理
引用
领域(数学)
分类
计算机科学
工作(物理)
书目耦合
人机系统
探索性分析
数据科学
社会学
管理
人工智能
图书馆学
工程类
社会科学
经济
定性研究
程序设计语言
纯数学
机械工程
数学
作者
Jia-Min Li,Tung‐Ju Wu,Yenchun Jim Wu,Mark Goh
出处
期刊:Management Decision
[Emerald (MCB UP)]
日期:2023-02-14
卷期号:61 (10): 2920-2944
被引量:17
标识
DOI:10.1108/md-09-2022-1183
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.
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