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Impact of Risk Perceptions and User Trust on Intention to Re-Use E-Government: A Mixed Method Research

Impact of Risk Perceptions and User Trust on Intention to Re-Use E-Government: A Mixed Method Research

Kamel Rouibah, Hasan Qurban, Nabeel Al-Qirim
Copyright: © 2022 |Volume: 30 |Issue: 1 |Pages: 29
ISSN: 1062-7375|EISSN: 1533-7995|EISBN13: 9781799893233|DOI: 10.4018/JGIM.307117
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MLA

Rouibah, Kamel , et al. "Impact of Risk Perceptions and User Trust on Intention to Re-Use E-Government: A Mixed Method Research." JGIM vol.30, no.1 2022: pp.1-29. http://doi.org/10.4018/JGIM.307117

APA

Rouibah, K., Qurban, H., & Al-Qirim, N. (2022). Impact of Risk Perceptions and User Trust on Intention to Re-Use E-Government: A Mixed Method Research. Journal of Global Information Management (JGIM), 30(1), 1-29. http://doi.org/10.4018/JGIM.307117

Chicago

Rouibah, Kamel , Hasan Qurban, and Nabeel Al-Qirim. "Impact of Risk Perceptions and User Trust on Intention to Re-Use E-Government: A Mixed Method Research," Journal of Global Information Management (JGIM) 30, no.1: 1-29. http://doi.org/10.4018/JGIM.307117

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Abstract

Despite the plethora of studies investigating different impacting factors on intention to re-use (IR) e-government services, they suffer from two limitations. First, initial studies provide mixed results on the effect of risk perception (PR) on IR. Second, although e-commerce studies have considered PR as a complex construct that encompasses several dimensions to date, none have considered exploring the effect of this complex construct on IR e-government websites. Thus, this study attempts to extend surrogates to such gaps by integrating PR and user trust (UT) in IR e-government using mixed-methods. It involved both a qualitative study (n = 81) to identify perceive risk antecedents and quantitative study (369 users) to build and test the proposed model. Results show that of eight PR factors, only privacy, time, psychological, and overall emerged as negative influencers and as such indirectly affect the IR government, through the mediating role of perceived value and user’s trust. System quality also has an indirect effect on IR through perceived value mediation.