13th European Conference on eGovernment – ECEG 2013 1 | Seite 605

Mohammed Alsaif
Facilitating conditions and perceived behavioural control are constructs that overlap when measuring the factors of technology, knowledge and resources required for technology adoption. Facilitating conditions variables revealed in previous findings suggest that government support and technology support are significant factors( Taylor and Tood, 2005).
H9: A significant influence on e‐Government usage behaviour will be predicted by computer selfefficacy and this relationship would be moderated by internet experience.
H10: E‐Government adoption will be significantly influenced by the availability of resources.
Other findings have suggested that e‐Government adoption and usage can be determined by the quality of information the system provides and the quality of the system( Shareef et al., 2011). Therefore, this study has included information quality and system quality as facilitators of e‐Government adoption to the original model.
H11: E‐Government usage behaviour will be significantly influenced by the quality of information presented.
H12: E‐Government usage behaviour is influenced significantly by system quality.
Based upon on the model and theories of technology acceptance discussed previously, as well as relying upon the core model of UTAUT, the following conceptual model is developed.
Figure 1: Proposed model of the adoption of e‐Government in Saudi Arabia
4. Methodology
This study used an amended unified theory of acceptance and use of technology( UTAUT) to determine the factors that affect the adoption of e‐Government from the perspective of citizens by investigating the psychological, technical and social factors, moderated by cultural values, which influence the adoption of e‐ Government. The study used an online quantitative questionaire to survey citizens from heterogeneous groups within a diverse area of Saudi Arabia as a case study, which will be representative of Arab developing countries. The study employed online convenience sampling method and unrestricted self‐selected surveys by posting the survey online in various public social networks, such as Facebook and national forums which are related to different cities of Saudi Arabia. The use of the quantitative method is preferred in this study, due to the necessity for consistency and objective judgment of the results that could be generalised to larger
583