Another theme within the literature is that many use the adoption theories outlined in the theoretical framework to explore the potential of cloud computing to be used for large organizations, particularly governments, to streamline their services and thus reduce the cost to taxpayers on the income end (Mohammed et al., 2018). Evidently, one of the main issues here is that government information tends to be more sensitive as it can include security information from the defense sector as well as personal information from each and every citizen of that country (Mohammed et al., 2018). Taking this into account, then, it is no surprise that governments have been slow to uptake cloud computing services compared with other organizations.
In this area, too, the focus has typically been on the challenges for developing countries and their governments. Cloud computing could be useful in these countries for dealing with governance challenges such as corruption, poor public management, lack of appropriate transparency and responsibility in public decision-making powers (Mohammed et al., 2018). There may also be challenges in provisioning of public services because of these issues, which means that more and more governments are turning to e-government systems (Mohammed et al., 2018). When there are challenges in terms of providing the physical infrastructure for these services, cloud computing has the potential to revolutionize e-government systems (Mohammed et al., 2018). One benefit here is that there may be extreme cost saving benefits to the government from this perspective because they do not have to host their own infrastructure (Anjaneyulu & Reddy, 2018). By outsourcing the technology to a cloud computing provider, they may also be able to ensure that their own government is not a target for hackers or other nefarious actors within the system (Mohammed et al., 2018).
There have been few studies that aim to investigate why e-government systems have typically been slow to investigate the use of cloud computing as a supplementary technology here. In fact, only 12% of the proposed models within the literature investigate the variables that affect e-government utilization of cloud computing and 88% of them propose integrating cloud computing in the e-government models of integration (Mohammed et al., 2018). This suggests that there is still room within the literature to investigate why e-government systems do not use cloud computing on a larger level (Anjaneyulu & Reddy, 2018). In fact, cloud adoption research is considered to be in the seminal stage and requires further studies to mature (Rai et al., 2015). It will benefit the literature overall to investigate why e-government systems and governmental organizations in general do not adopt this technology.