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

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 us...

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Detalles Bibliográficos
Autores principales: Menant, Lou, Gilibert, Daniel, Sauvezon, Céline
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8202014/
https://www.ncbi.nlm.nih.gov/pubmed/34135818
http://dx.doi.org/10.3389/fpsyg.2021.659421
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author Menant, Lou
Gilibert, Daniel
Sauvezon, Céline
author_facet Menant, Lou
Gilibert, Daniel
Sauvezon, Céline
author_sort Menant, Lou
collection PubMed
description 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.
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spelling pubmed-82020142021-06-15 The Application of Acceptance Models to Human Resource Information Systems: A Literature Review Menant, Lou Gilibert, Daniel Sauvezon, Céline Front Psychol Psychology 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. Frontiers Media S.A. 2021-05-31 /pmc/articles/PMC8202014/ /pubmed/34135818 http://dx.doi.org/10.3389/fpsyg.2021.659421 Text en Copyright © 2021 Menant, Gilibert and Sauvezon. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Menant, Lou
Gilibert, Daniel
Sauvezon, Céline
The Application of Acceptance Models to Human Resource Information Systems: A Literature Review
title The Application of Acceptance Models to Human Resource Information Systems: A Literature Review
title_full The Application of Acceptance Models to Human Resource Information Systems: A Literature Review
title_fullStr The Application of Acceptance Models to Human Resource Information Systems: A Literature Review
title_full_unstemmed The Application of Acceptance Models to Human Resource Information Systems: A Literature Review
title_short The Application of Acceptance Models to Human Resource Information Systems: A Literature Review
title_sort application of acceptance models to human resource information systems: a literature review
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8202014/
https://www.ncbi.nlm.nih.gov/pubmed/34135818
http://dx.doi.org/10.3389/fpsyg.2021.659421
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