The Application of Acceptance Models to Human Resource Information Systems: A Literature Review

• Published in: Frontiers in psychology 2021-05, Vol.12, p.659421-659421
• Main Authors: Menant, Lou, Gilibert, Daniel, Sauvezon, Céline
• Format: Article
• Language: English
• Subjects: acceptability; human resource information system; Humanities and Social Sciences; Life Sciences; Neurons and Cognition; Psychology; Psychology and behavior; technology acceptance model; unified theory of acceptance and use of technology; user acceptance
• ISSN: 1664-1078; 1664-1078
• DOI: 10.3389/fpsyg.2021.659421

Technology acceptance by users has been extensively studied in recent years in various fields such as technologies for learning, e-commerce, and business technologies. This review focuses specifically on Human Resource Information Systems (HRIS) and its acceptance by users. Given their widespread use in organisations, HRIS acceptance has been researched but not synthesised in any way. This article aims to review the effectiveness of the classical TAM and UTAUT models commonly used for new technologies and to identify the variables added to these models to better predict HRIS acceptance by employees. It also highlights the importance of the human-machine-organisation relationship to contribute to the understanding of HRIS acceptance in professional environments. This review confirms the effectiveness of the TAM and UTAUT models and proposes to develop them by (a) variables reffering to technological characteristics (security, system response time, and the data quality implemented in the system), (b) user satisfaction with the system, and (c) organisational variables (expected role of the HR department). The discussion focuses on the retroaction possibilities between the different Human-Machine-Organisation relation levels.