A Framework at the Economic Growth Nexus, E-Government Portals: “Would It Help?”‎
Creators: name: AbdelAzim, Riem
name: Salman, Omar
name: Henawy, Ibrahim El
Publisher: name: figshare
Year: 2020
Subjects: subject: 150301 Business Information Management (incl. Records, Knowledge and Information Management, and Intelligence)
subject: FOS: Economics and business
subject: FOS: Economics and business
subject: 150302 Business Information Systems
subject: 150399 Business and Management not elsewhere classified

description: This paper presents a model-derived framework to explain the existing relationship <b>‎</b>between the eGovernment domain and the <b>‎</b>Economic Growth domain. The aim is to <b>‎</b>provide a strategic framework that can support decision-makers when promoting <b>‎‎</b>digital transformation. The existing empirical literature shows that aspects of this <b>‎</b>relationship can be realized through the <b>‎</b>competitiveness index as a strategic mediator. <b>‎</b>The Global Competitiveness Index parameters are used for matching indicators <b>‎</b>from <b>‎</b>both domains. In this work, the composite indexes of the eGovernment Development <b>‎</b>Index (EGDI) are studied in the context of <b>‎</b>selected parameters for measuring the Economic <b>‎</b>Growth.<b>‎</b> The population for the statistical analysis is done on all state members of the UN eGov <b>‎</b>used in the biannual eGovernment <b>‎</b>survey. It presents a genuine econometric model <b>‎</b>where results are pulled out from cross-sectional data analysis for 193 <b>‎</b>observations over <b>‎</b>the year 2018. The GDP per capita is selected as the output function, whereas the right-hand side is selected <b>‎</b>parameters for three main factors; Trade, Labor, and Technology. <b>‎</b>Trade predictors are selected to be Inflation –as a GDP <b>‎</b>deflator- FDI, number of days <b>‎</b>to start a business, and Import, and Export. As for Labor, predictors are selected to be <b>‎</b>HCI -Infant <b>‎</b>Mortality, Adult Literacy, and School enrolment for Tertiary education. <b>‎</b>Whereas for Technology predictors are selected to be <b>‎</b>Fixed and Mobile (Cellular) <b>‎</b>Telephone Subscribers, Fixed and Wireless BroadBand subscribers, Internet users, <b>‎</b>EGDI, <b>‎</b>eParticipation. <b>‎</b> Findings agree with the literature and the model proves the positive influence of eGov <b>‎</b>on economic growth. The contribution <b>‎</b>of this research work is bi-fold. Firstly, the <b>‎</b>new fitness function provides quantifiable evidence linking the eGovernment <b>‎</b>and <b>‎</b>economic growth via two basic factors; Technology and Trade. Secondly, the <b>‎</b>exploration of the regression analysis provided <b>‎</b>a deeper understanding of the magnitude <b>‎</b>of influence occurring within these explanatory factors. It is found that the <b>‎</b>economic <b>‎</b>parameter “Number of days to start a business” inversely proportional with and relevant <b>‎</b>to the “Technology factor” rather <b>‎</b>than the “Trade factor” as previously perceived in the <b>‎</b>literature. In addition, the investigation came over the bonds between <b>‎‎</b>“Online Services <b>‎</b>Index” and “eParticipation index”. In addition, the inter-relation between HCI <b>‎</b>calculated by the World Bank <b>‎</b>established to be more comprehensive as it included the <b>‎</b>HCI-UN together with the social parameters. Thus, the framework is <b>‎</b>derived from <b>‎</b>economic theories and models found relevant from the literature and are adding to the <b>‎</b>body of knowledge on both <b>‎</b>levels, the academic and the practice.<b>‎</b>