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

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.

Moderating role of resistance to change in the actual adoption of HR analytics in the Indian banking and financial services industry

“…This research revealed that EE has an insignificant effect on HR analytics intention to use which opposed the results of previous literature (Venkatesh et al. , 2003) but is following the study of Al-Ajlouni et al. (2020) and Mittal et al.…”

“…This result is consistent with those of previous studies (Vargas, 2015; Tarhini et al. , 2017; Al-Ajlouni et al. , 2020; Tiwari et al.…”

“…SI was identified as an insignificant determinant of BI, which follows the studies of Al-Ajlouni et al. (2020) and Mittal et al.…”

“…Numerous studies have suggested the importance of FC in predicting the actual usage behavior of technology (Venkatesh et al. , 2003; Al-Ajlouni et al. , 2020).…”

“…FC denote consumers' accessibility to facilities and support systems that are easily available for technology usage (Venkatesh et al, 2003). Many studies have evaluated the influence of FC on technology adoption (Okolita, 2019;Al-Ajlouni et al, 2020;Mittal et al, 2022). The present research states that organizations provide employee training and support free of cost, which remains invariant for all employees using this technology.…”