Forecast of use of the human resources information system (HRIS) in the company. Development of a conceptual model centered on an extension of the Human-Organization-Technology fit framework (HOT-fit)

Prévision d'utilisation du système d'information des ressources humaines (SIRH) dans l'entreprise. Elaboration d'un modèle conceptuel centré sur une extension du cadre d'ajustement Humain-Organisation-Technologie (HOT-fit)

Samir Mirdasse ()
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Samir Mirdasse: Université Ibn Zohr = Ibn Zohr University [Agadir]

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Abstract: Understanding the process of using human resource information systems (HRIS) in organizations is crucial to grasp the associated challenges and opportunities. By analyzing the different dimensions of the use of information systems (IS), it is possible to evaluate their effectiveness and their impact on organizational performance. The central objective of this research is to predict HRIS usage behavior within companies, by integrating a human-organization-technology (HOT-fit) fit framework into the analysis of existing theories. The results obtained made it possible to formulate a conceptual model to anticipate the use of HRIS, taking into account the interactions between human, organizational and technological dimensions. In conclusion, this study consolidates knowledge on the subject and provides practical guidance for its deployment and effective management in companies. This model thus provides a solid basis for the strategic implementation of HRIS, allowing organizations to take full advantage of these technologies to optimize their overall performance and competitive advantage.

Keywords: HRIS; Forecast; Usage behaviour; Business; Fit (HOT-fit) framework; SIRH; Prévision; Comportement d'utilisation; Entreprise; Cadre d'ajustement (HOT-Fit) (search for similar items in EconPapers)
Date: 2024-04-30
New Economics Papers: this item is included in nep-knm
Note: View the original document on HAL open archive server: https://hal.science/hal-04853850v1
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Published in Revue Internationale des Sciences de Gestion, 2024, 7 (2), pp.495 -520. ⟨10.5281/zenodo.11075671⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04853850

DOI: 10.5281/zenodo.11075671

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