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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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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. |
format | Online Article Text |
id | pubmed-8202014 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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