Examining the predictive relevance of security, privacy risk factors, and institutional logics for e‐government service adoption. Issue 1 (22nd September 2021) - Bayaga, Anass
Abstract: Following the increasing debate around the possible influencers on the adoption of electronic‐government (e‐government) services, the current research was aimed at examining the predictive relevance of security and privacy risk factors through the lens of institutional logics for e‐government service adoption. Guided by the research aim, the study adopted the questionnaire method. Based on the review of the relevant literature and the study's aim, the partial least square structural equation modeling (PLS‐SEM) was employed to analyze the data by making use of the SmartPLS 3.2.8 software to assess both the outer and structural models. It was evidenced that privacy and security risk factors as well as institutional logics together account for 61.7% of South African citizens' reasons for adopting e‐government services, while the other 38.3% were explained by factors that did not form part of this study. These findings contributed a new view and an extension of the model, providing the insight that privacy and security risk factors as well as institutional logics together are significant predictors of citizens' willingness to adopt e‐government services. By implication, the results establish the interconnectedness of the predictive relevance of institutional logics and the adoption of e‐government services.