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The factors of acceptance and use of HRIS

Author

Listed:
  • Dani Safaa

    (Hassan First University of Settat, National School of Management, Laboratory LRMMC, Settat Morocco)

  • Faridi Mohamed

    (Hassan First University of Settat, National School of Management, Laboratory LRMMC, Settat, Morocco)

Abstract

In a context of digital transformation where companies are seeking to integrate new collaboration technologies, the implementation of an HRIS remains necessary to acquire real decision-making tools, essential for better strategic positioning. The acceptance and use of HRIS depends on several factors that we will study through the different theories and models that deal in one way or another with the acceptance, use and success of a technology, which will allow managers and HR professionals a better use of the system and user satisfaction .

Suggested Citation

  • Dani Safaa & Faridi Mohamed, 2020. "The factors of acceptance and use of HRIS," Technium Social Sciences Journal, Technium Science, vol. 9(1), pages 397-404, July.
    • Handle: RePEc:tec:journl:v:9:y:2020:i:1:p:397-404
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    References listed on IDEAS

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    1. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    2. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    3. Peter B. Seddon, 1997. "A Respecification and Extension of the DeLone and McLean Model of IS Success," Information Systems Research, INFORMS, vol. 8(3), pages 240-253, September.
    4. Kieran Mathieson, 1991. "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, INFORMS, vol. 2(3), pages 173-191, September.
    5. Anthony R. Hendrickson, 2003. "Human Resource Information Systems: Backbone Technology of Contemporary Human Resources," Journal of Labor Research, Transaction Publishers, vol. 24(3), pages 382-394, July.
    6. William H. DeLone & Ephraim R. McLean, 1992. "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, INFORMS, vol. 3(1), pages 60-95, March.
    7. James E. Bailey & Sammy W. Pearson, 1983. "Development of a Tool for Measuring and Analyzing Computer User Satisfaction," Management Science, INFORMS, vol. 29(5), pages 530-545, May.
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    More about this item

    Keywords

    HRIS; factors; HRM; acceptance; satisfaction;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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