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

Mohammed Iqbal Al-Ajlouni (), Sahem Nawafleh (), Hiba Alsari (), Mohammad Nassar Almarshad () and Rami Tbaishat ()
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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

Journal of Information & Knowledge Management (JIKM), 2020, vol. 18, issue 04, 1-23

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.

Keywords: Determinants; e-HRM; acceptance; UTAUT; SEM; Jordan (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1142/S0219649219500448

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