E-government, as per The World Bank Group (2004), encompasses the use of E-government services that transform relations with citizens, businesses, and other arms of government. The e-government services can serve a variety of different ends: better delivery of government services to citizens, improved interactions with business and industry, citizen empowerment through access to information, or more efficient government management. E-government employment may lead to less corruption, increased transparency, greater convenience, revenue growth, and/or cost reductions. Studies on the subject have been conducted in different contexts including developed countries (O’Reilly 2005, Siau and Long 2005, Frank 2004, Siau and Tian 2004, Davidrajuh 2003) as well as in developing countries (Kurunananda and Weerakkody 2006, Heeks 2002).
A reoccurring theme in many studies is the development and examination of adoption models for e-government initiatives, which are based on adoption theories (Rogers 1995, Venkatesh et al. 2003, Davis 1989). As substantiated by the extensive literature review we have conducted, proposed e-government adoption models, that study the impact over the users’ adoption for the government e-services, have not taken under consideration the influence of Geographic Information, defined by Goodchild (1997, 2010) as the location or information linked to a place or property on or near Earth and the knowledge about the location of something and its description at a specific time or time interval. The GI is characterized by its two components: the geographical information system (GIS) which provides the geographic information with “the infrastructure, tools and methods for tackling real world problems within acceptable timeframes” (Maguire, 2010:2) and the geographic information science (GIScience) which allows us to consider the philosophical, epistemological and ontological contexts of geographic information” (Maguire, 2010: 2).