This study investigated how privacy, security, trust, risk and optimism bias factors are affecting citizens' perceptions and decisions to use e-government systems in Zimbabwe and Zambia. The keyword 'perceived' prefixed on each construct (e.g. perceived security) refers to both citizens' perceptions and actual experience. The results of this study would be significant to practitioners, decision-makers and policymakers who seek to strengthen the G2C relationships in developing countries.This article is structured as follows: firstly, the theoretical underpinnings are laid out for the study. Then the research model and hypotheses followed by the research methodology are presented. The findings of the empirical study are then presented and discussed.
Theoretical underpinningsThe complex nature of the G2C phenomenon requires multiple models to help interpret the data collected. This study draws from several models: the National Initiative for Cybersecurity Education cybersecurity capability maturity models (NICE-CMM) and National Institute of Standards and Technology (NIST) Cybersecurity Framework (NIST 2018; US Department of Background: Many Southern African Development Community (SADC) countries are adopting and implementing e-government systems to improve the efficiency and effectiveness of their service delivery systems, and Zimbabwe and Zambia are not an exception. However, scholars have noted that the acceptance and utilisation of e-government systems by citizens in Zimbabwe and Zambia is affected by many factors, among others, perceived privacy, perceived security, perceived trust, perceived risk and optimism bias.
Objectives:The aim of this study was to investigate the effect of privacy, security, trust, optimism bias and perceived risk on citizens' use behaviour of e-government systems in the SADC.Method: This study proposes an e-government utilisation model. A quantitative design was employed to collect data from a survey of 489 e-government users in Zambia and Zimbabwe to test the model fit using structural equation modelling.Results: Perceived lack of privacy, security, trust; perceived risk and optimism bias were all confirmed as salient factors affecting the utilisation of e-government systems by citizens in Zambia and Zimbabwe. The structural equation model results confirmed the model fit of the proposed e-government research model. All eight hypotheses for this study were confirmed.
Conclusion:The findings of this study provide pointers to practitioners, decision-makers and policymakers on e-government matters on the need to seriously consider privacy, security, risk and trust issues of e-government systems to encourage the utilisation of such systems by citizens.