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Determinants of User Acceptance of Electronic-HRM through the Extension of UTAUT Model via the Structural Equation Modelling Approach

Author

Listed:
  • Mohammed Iqbal Al-Ajlouni

    (Department of Business Administration, Al-Zaytoonah University of Jordan, Jordan)

  • Sahem Nawafleh

    (Department of Public Administration, Yarmouk University, Jordan)

  • Hiba Alsari

    (Hstats Consulting, Jordan)

  • Mohammad Nassar Almarshad

    (Princess Alia University College, Al-Balqa Applied University, Jordan)

  • Rami Tbaishat

    (Department of Public Administration, Yarmouk University, Jordan)

Abstract

Despite the assured benefits of strategic primacy for HR administrators, performance effectiveness and cost reduction provided by Electronic-Human Resource Management (e-HRM), user acceptance of these systems is a critical factor for the initiative’s success. Accordingly, current research addresses factors that permit or hamper e-HRM adoption in private universities of Jordan. Conceptual theoretical model which extends the proposed UTAUT model was used, self-administered questionnaire was developed and data from 243 administrative employees who operate in four selected private universities in Jordan were collected through non-probabilistic self-selection sampling. Covariance-Based Structural Equation Modelling was employed to analyse relationships, performance expectancy and habits achieved (53%) of the varying behavioural intentions (BIs). Contrary to expectations, effort expectancy and social influence were not significant in achieving the variance, as facilitating conditions and BIs (43%) achieved the variance in e-HRM use. Accordingly, practical and theoretical implications were provided, with suggestions and directions for future studies.

Suggested Citation

  • Mohammed Iqbal Al-Ajlouni & Sahem Nawafleh & Hiba Alsari & Mohammad Nassar Almarshad & Rami Tbaishat, 2020. "Determinants of User Acceptance of Electronic-HRM through the Extension of UTAUT Model via the Structural Equation Modelling Approach," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 18(04), pages 1-23, January.
    • Handle: RePEc:wsi:jikmxx:v:18:y:2020:i:04:n:s0219649219500448
    DOI: 10.1142/S0219649219500448
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