Impact of Risk Perceptions and User Trust on Intention to Re-Use E-Government: A Mixed Method Research
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...
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Veröffentlicht in: | Journal of global information management 2022-01, Vol.30 (1), p.1-29 |
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description | 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. |
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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. 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subjects | Electronic commerce Electronic government Government computer systems Government information technology services Government services Mediation Methods Mixed methods research Qualitative research Quantitative research Risk perception |
title | Impact of Risk Perceptions and User Trust on Intention to Re-Use E-Government: A Mixed Method Research |
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