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ACCE-GOV: a new theoretical framework for cloud computing adoption for e-government system in developing countries (Saudi Arabia perspective)
Electronic government (e-government) systems formed from the aggregation of various government organisations providing online services through web interfaces have become more common. This is a consequence of increasing use of the Internet to access information and services whereby governments engage new technologies to provide information and data to increase the effective adoption of their organisations’ online services. One technology that serves to enhance the provision of online services is cloud computing. A cloud is a model that functions as a parallel system and a distributor; and consists of a set of interconnected virtual machines that are dynamically displayed and connected to share the service that has been established by the service provider. Therefore, if e-government organisations systems suffer from numerous barriers to the adoption of new technologies, that would have various impacts on the development of effective e-government. Most of the government organisations have been suffering to overcome the issues in the IT infrastructure of the e-government system. This research thus also assists the government decision-makers to understand these factors in seeking to improve e-government systems.
The research aims to determine and examine the more critical factors that influence the adoption of cloud computing in an e-government system takes into account the experiences of top government management and IT employees in government organisations. The theoretical research model of adoption of cloud computing in e-government based on a Technology, Organisations and Environment (TOE) framework with extending a Social context. Consequently, a
conceptual framework has proposed the successful development and adoption of cloud computing in the e-government system (ACCE-GOV).
The research method has been applied a mixed methods research methodology; with quantitative (survey) and qualitative (semi-structured interviews) methods used in a complementary manner. The main method of data collection was quantitative and utilised a survey questionnaire. The target sample size was around 383 respondents. The quantitative data was analysed using descriptive statistics as well as the structural equation model (SEM). The qualitative research data were collected via 8 detailed semi-structured interviews to represent the perspectives of senior IT managers in eight Saudi government organisations. A thematic analysis was carried
out to analysing data.
The results of research make a significant contribution to investigate the critical factors that should be taken into account by the Saudi government to develop an e-government system via the adoption of cloud computing. This research investigated the critical factors identified in the theoretical framework (ACCE-GOV). The research findings provide valuable information for top management in Saudi government organisations about what needs to be considered for enhancing the adoption of cloud computing in e-government system. This study has confirmed that there is a significant relationship between both trust and attitude with the adoption of cloud computing, however, an awareness and compatibility show that no significant relationship with the adoption of cloud computing for e-government systems