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Title: Citizen acceptance of eGovernment: the case of Oman
Author: Al-Adawi, Zakia
ISNI:       0000 0001 3404 136X
Awarding Body: Cardiff University
Current Institution: Cardiff University
Date of Award: 2007
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The primary objective of most eGovernment initiatives is to better serve citizens. However, very little has been written on citizens' likelihood to actually use eGovemment, thus, the focus of this study is the citizen aspect of eGovernment. Citizens' reluctance to adopt eGovernment has become a major hurdle for governments that want the maximum return on their heavy investments in building eGovernment infrastructures. It is therefore crucial for such governments to understand the factors affecting citizens' willingness to adopt eGovernment services. This study contributes to the research dedicated to explaining and predicting technology acceptance and usage behaviour. The primary objective of the study is to determine the factors that affect citizens' intention to use eGovernment services in Oman. Such factors (drivers and inhibitors) were presented in a comprehensive model and combined under three major areas: technological, social, and personal. The study adopted the Technology Acceptance Model (TAM) (Davis, 1989) as a framework for the whole model and to represent the technology angle; trust represented the social factor, and the moderators of technology readiness and demographics represented the personal factor. The primary data collection took place in Oman. A survey questionnaire was distributed in 50 public and private sector organisations. An effective response rate of 71% resulted in 1225 completed questionnaires. The somewhat large sample size helped in achieving one of the objectives of this study, that is, building a profile for internet users in Oman. Structural Equation Modelling (SEM) was utilised to analyse the data. The empirical results revealed that perceived ease of use and trust in eGovernment (drivers) and perceived risk (inhibitor) were the three major predictors of behavioural intention, explaining 48% of its variance. Results also indicated that trust is an important multidimensional construct, which should be added to online TAM-related models. The moderating role of the technology readiness index (TRI) and demographics (age and gender) enriched the explanatory power of the model. The results showed that different segments of citizens are influenced differently by the factors predicting intention. As Oman is moving towards eGovernment, this study constitutes an academic base for the Omani government to better understand the factors that influence usage behaviour of citizens in the context of eGovernment. The study can provide guidance to increase citizens' adoption and usage of government online services throughout the planning and implementation stages of eGovemment projects.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available