Impact of Risk Perceptions and User Trust on Intention to Re-Use E-Government

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.

Extending the UTAUT model to understand the customers’ acceptance and use of internet banking in Lebanon

Purpose

A number of studies have shown that internet banking (IB) implementation is not only determined by banks or government support, but also by perceptions and experience of IB users. IB studies have showed encouraging results from academics in developed countries. Yet little is known about the user adoption of IB in Lebanon. The purpose of this paper is to investigate the factors that may hinder or facilitate the acceptance and usage of IB in Lebanon.

Design/methodology/approach

A conceptual framework was developed through extending the unified theory of acceptance and use of technology (UTAUT) by incorporating two additional factors namely; perceived credibility (PC) and task-technology fit (TTF). A quantitative approach based on cross-sectional survey was used to collect data from 408 IB consumers. Data were analysed using structural equation modelling based on AMOS 20.0.

Findings

The results of the structural path revealed that performance expectancy (PE), social influence, PC and TTF to be significant predictors in influencing customers’ behavioural intention (BI) to use IB and explained 61 per cent of its variance, with PE was found the strongest antecedent of BI. Contrary to the UTAUT, the effect of effort expectancy on BI was insignificant. In addition, both BI and facilitating conditions were found to affect the actual usage behaviour and explained 64 per cent of its variance

Practical implications

This study would be helpful for bank managers and policy makers to explain the currently relatively low penetration rate of IB in formulating strategies to encourage the adoption and acceptance of IB by Lebanese customers, where IB is still considered an innovation.

Originality/value

This study is the first research that extend the UTAUT by incorporating two additional factors namely; PC and TTF to study the IB in the Lebanese context. This study contributes to the research on computer technology usage by looking at IB adoption and incorporation into the lives of customers via the BI to use and actual usage of IB in Lebanon.

A Review of the Factors Affecting User Satisfaction in Electronic Government Services

Even after more than a decade of intensive research work in the area of electronic government (e-government) adoption and diffusion, no study has yet undertaken a theoretical evaluation of research related to ‘e-government satisfaction'. The purpose of this study is to undertake a comprehensive review of the literature related to e-government satisfaction and adoption with a particular focus on the most critical factors and their manifested variables that influence user satisfaction in e-government. Usable data relating to e-government research were collected from 147 papers identified from the Scopus database and by manually identifying relevant articles from journals dedicated to e-government research such as Electronic Government, an International Journal (EGIJ), International Journal of Electronic Government Research (IJEGR) and Transforming Government: People, Process, and Policy (TGPPP). A meta-analysis of existing e-government studies found that the majority of the construct relationships demonstrated a significant range of average summative correlation, and effect size, but the influence of perceived ease of use, effort expectancy on behavioural intention, behavioural intention on use behaviour, and perceived trust on risk were still found to be non-significant. A broader analysis of e-government satisfaction and adoption research seems to reflect that although a large number of theories and theoretical constructs were borrowed from reference disciplines such as Information Systems, e-commerce and public administration, their utilisation by e-government researchers appears to be largely random in approach.