独创性
知识管理
人力资源管理
领域(数学分析)
质量(理念)
价值(数学)
管理科学
计算机科学
人工智能应用
人力资源
数据科学
资源(消歧)
工程类
人工智能
管理
社会学
社会科学
定性研究
数学
认识论
经济
计算机网络
哲学
数学分析
机器学习
作者
Yusra Qamar,Rakesh Agrawal,Taab Ahmad Samad,Charbel José Chiappetta Jabbour
出处
期刊:Journal of Enterprise Information Management
[Emerald (MCB UP)]
日期:2021-07-27
卷期号:34 (5): 1339-1370
被引量:103
标识
DOI:10.1108/jeim-11-2020-0436
摘要
Purpose An original systematic review of the academic literature on applications of artificial intelligence (AI) in the human resource management (HRM) domain is carried out to capture the current state-of-the-art and prepare an original research agenda for future studies. Design/methodology/approach Fifty-nine journal articles are selected based on a holistic search and quality evaluation criteria. By using content analysis and structural concept analysis, this study elucidates the extent and impact of AI application in HRM functions, which is followed by synthesizing a concept map that illustrates how the usage of various AI techniques aids HRM decision-making. Findings A comprehensive review of the AI-HRM domain’s existing literature is presented. A concept map is synthesized to present a taxonomical overview of the AI applications in HRM. Research implications/limitations An original research agenda comprising relevant research questions is put forward to assist further developments in the AI-HRM domain. An indicative preliminary framework to help transition toward ethical AI is also presented. Originality/value This study contributes to the literature through a holistic discussion on the current state of the domain, the extent of AI application in HRM, and its current and perceived future impact on HRM functions. A preliminary ethical framework and an extensive future research agenda are developed to open new research avenues.
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