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Integrative conceptual model for predicting the use of the human resources information system (HRIS) in the enterprise: A combined approach of the human-organization-technology (HOT-fit) and technology-organization-environment fit frameworks (TOE)
[Modèle conceptuel intégratif pour la prédiction de l'utilisation du système d'information ressources humaines (SIRH) dans l'entreprise : Une approche combinée des cadres d'ajustement humain-organisation-technologie (HOT-fit) et technologie-organisation-environnement (TOE)]

Author

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  • Samir Mirdasse

    (Université Ibn Zohr = Ibn Zohr University [Agadir])

Abstract

The evolution of information technologies (IT) has reshaped human resource management (HRM), highlighting the significance of human resources information systems (HRIS) for organizational performance. The combination of human-organization-technology (HOT-fit) and technology-organization-environment (TOE) frameworks offers a holistic perspective integrating dimensions of HRIS. The objective is to propose a conceptual model to predict its usage, with a methodology based on an exhaustive literature review. The model incorporates human, organizational, technological, and environmental dimensions. Findings underscore the importance of alignment among these dimensions to foster effective HRIS utilization. The discussion illuminates the complexity of interactions among these dimensions, with practical and theoretical implications for enhancing existing predictive models. In conclusion, the research offers an integrative model to forecast HRIS usage, identifying avenues for future research. These findings reinforce the need for a contextual approach for effective HRIS implementation, emphasizing the importance of considering organizational specificities.

Suggested Citation

  • Samir Mirdasse, 2024. "Integrative conceptual model for predicting the use of the human resources information system (HRIS) in the enterprise: A combined approach of the human-organization-technology (HOT-fit) and technolog," Post-Print hal-04853863, HAL.
    • Handle: RePEc:hal:journl:hal-04853863
    DOI: 10.5281/zenodo.11417521
    Note: View the original document on HAL open archive server: https://hal.science/hal-04853863v1
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    References listed on IDEAS

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    1. G Premkumar & K Ramamurthy & M Crum, 1997. "Determinants of EDI adoption in the transportation industry," European Journal of Information Systems, Taylor & Francis Journals, vol. 6(2), pages 107-121, June.
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    More about this item

    Keywords

    HRIS; HOT-fit; TOE; Integrative conceptual model; Usage prediction; SIRH; Modèle conceptuel intégratif; Prédiction de l'utilisation;
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