Artificial Intelligence in Tactical Human Resource Management: A Systematic Literature Review

• Published in: International journal of information management data insights Vol. 1; no. 2; p. 100047
• Main Authors: Votto, Alexis Megan, Valecha, Rohit, Najafirad, Peyman, Rao, H. Raghav
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.11.2021; Elsevier
• Subjects: Artificial Intelligence; Decision Science; Human Resource Information Systems; Human Resource Management Systems; Machine Learning; Human Resource Management Systems; Machine Learning; Artificial Intelligence; Decision Science; Human Resource Information Systems
• ISSN: 2667-0968; 2667-0968
• DOI: 10.1016/j.jjimei.2021.100047

Digitization within Human Resource Management (HRM) has resulted in Artificial Intelligence (AI) becoming increasingly prevalent in Human Resource Management Systems (HRMS) and HR Information Systems (HRIS). The tactical procedures of recruitment, employee performance evaluation and satisfaction, compensation and benefit analysis, best practice analysis, discipline management, and employee training and development systems have seen a growth in the incorporation of AI. To better understand this evolution, we seek to explore publication sources and literature that feature the application of AI within HRM. By utilizing a systematic literature review methodology, this paper identifies which tactical HRIS (T-HRIS) components are featured in literature and how each T-HRIS component is represented. This paper gives insight to which component of tactical HRM/HRIS receives attention and identifies gaps in research to give direction to future research agendas.