Please use this identifier to cite or link to this item: doi:10.22028/D291-43827
Title: Consolidating the theoretical foundations of digital human resource management acceptance and use research: a meta-analytic validation of UTAUT
Author(s): Theres, Christian Marc
Strohmeier, Stefan
Language: English
Title: Management Review Quarterly
Volume: 74
Pages: 2683–2715
Publisher/Platform: Springer Nature
Year of Publication: 2023
Free key words: Digital HRM
Meta-analysis
e-HRM
Meta-analytic structural equation modeling
UTAUT
DDC notations: 650 Management
Publikation type: Journal Article
Abstract: With rapid technological progress, the adoption of digital technology in human resource management (HRM) has become a crucial step towards the vision of digital organizations. Over the last four decades, a substantial body of empirical research has been dedicated towards explaining the phenomenon of digital HRM. Moreover, research has applied a wide array of theories, constructs, and measures to explain the adoption of digital HRM in organizations. The results are fragmented theoreti cal foundations and inconsistent empirical evaluations. We provide a comprehen sive overview of theories applied in digital HRM adoption research and propose an adjusted version of the unifed theory of acceptance and use of technology as a con solidating theory to explain adoption across settings. We empirically validate this theory by combining evidence from 134 primary studies yielding 768 efect sizes via meta-analytic structural equation modelling. Moderator analyses assessing the infu ence of research setting and sample on efects show signifcant diferences between private and public sector. Findings highlight research opportunities for future studies and implications for practitioners.
DOI of the first publication: 10.1007/s11301-023-00367-z
URL of the first publication: https://link.springer.com/article/10.1007/s11301-023-00367-z
Link to this record: urn:nbn:de:bsz:291--ds-438271
hdl:20.500.11880/39236
http://dx.doi.org/10.22028/D291-43827
ISSN: 2198-1639
Date of registration: 20-Dec-2024
Description of the related object: Supplementary Information
Related object: https://static-content.springer.com/esm/art%3A10.1007%2Fs11301-023-00367-z/MediaObjects/11301_2023_367_MOESM1_ESM.pdf
Faculty: HW - Fakultät für Empirische Humanwissenschaften und Wirtschaftswissenschaft
Department: HW - Wirtschaftswissenschaft
Professorship: HW - Prof. Dr. Stefan Strohmeier
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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