| Title: | Predicting HR professionals’ adoption of HR analytics : an extension of UTAUT model |
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| Authors: | ID Ekka, Susmita (Author)
ID Singh, Punam (Author) |
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| Files: |  https://organizacija.fov.um.si/index.php/organizacija/article/view/926
 RAZ_Ekka_Susmita_2022.pdf (1,76 MB)
MD5: 51A9E8B65AEC6CDCE90916F4DCB57CF6
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| Language: | English |
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| Work type: | Unknown |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FOV - Faculty of Organizational Sciences in Kranj
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| Abstract: | Background and Purpose: To scale up HR innovation with HR technology, organizations worldwide are putting effort into adopting HR Analytics (HRA) among HR professionals and the actual use of HRA for organizational decision-making. This study aims to explore the behavioral intention to use HRA from the perspective of HR professionals by using UTAUT. Methodology: Partial least squares structural equation modeling (PLS-SEM) was employed to validate the model based on data collected via a survey from 270 HR professionals in India. Results: The result revealed a significant positive impact of performance expectancy, effort expectancy, social influence, and facilitating condition on behavioral intention to use HRA. However, organization culture negatively moderates the relationship between HRA adoption intention and adoption behavior. The establishment of organizational culture as a moderator in Indian organizations is unique. Conclusion: The study extends the explanatory context of UTAUT and provides feasibility for the organizations to guide HR professionals to adopt HRA from multiple paths of intention and usage behavior. Managers, business leaders, and policymakers can use this finding to assist HRA adoption in their organizations. |
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| Publication date: | 01.01.2022 |
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| Year of publishing: | 2022 |
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| Number of pages: | str. 77-93 |
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| Numbering: | Vol. 55, no. 1 |
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| PID: | 20.500.12556/DKUM-96214  |
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| UDC: | 005.73 |
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| ISSN on article: | 1318-5454 |
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| COBISS.SI-ID: | 162212355 |
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| DOI: | 10.2478/orga-2022-0006 |
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| Publication date in DKUM: | 09.12.2025 |
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| Views: | 133 |
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| Downloads: | 4 |
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| Metadata: |    |
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| Categories: | Misc.
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