• Riem M. Hamdi Abdel Azim
• Omar Salman
• Ibrahim Henawy

This paper presents a model-derived framework to explain the existing relationship ‎between the eGovernment domain and ‎the ‎Economic Growth domain. The aim is to ‎provide a strategic framework that can support decision-makers when ‎promoting ‎‎digital transformation. The existing empirical literature shows that aspects of this ‎relationship can be realized through ‎the ‎competitiveness index as a strategic mediator. ‎The Global Competitiveness Index parameters are used for matching ‎indicators ‎from ‎both domains. In this work, the composite indexes of the eGovernment Develop0ment ‎Index (EGDI) are studied ‎in the context of ‎selected parameters for measuring the Economic ‎Growth.‎ The population for the statistical analysis is done on all state members of the UN eGov ‎used in the biannual ‎eGovernment ‎survey. It presents a genuine econometric model ‎where results are pulled out from cross-sectional data analysis for ‎‎193 ‎observations over ‎the year 2018. The GDP per capita is selected as the output function, whereas the right-hand side is ‎selected ‎parameters for three main factors; Trade, Labor, and Technology. ‎Trade predictors are selected to be Inflation –as a ‎GDP ‎deflator- FDI, number of days ‎to start a business, and Import, and Export. As for Labor, predictors are selected to be ‎HCI -‎Infant ‎Mortality, Adult Literacy, and School enrollment for Tertiary education. ‎Whereas for Technology predictors are selected ‎to be ‎Fixed and Mobile (Cellular) ‎Telephone Subscribers, Fixed and Wireless BroadBand subscribers, Internet ‎users, ‎EGDI, ‎eParticipation. ‎ Findings agree with the literature and the model proves the positive influence of eGov ‎on economic growth. The contribution ‎of ‎this research work is bi-fold. Firstly, the ‎new fitness function provides quantifiable evidence linking the ‎eGovernment ‎and ‎economic growth via two basic factors; Technology and Trade. Secondly, the ‎exploration of the regression ‎analysis provided ‎a deeper understanding of the magnitude ‎of influence occurring within these explanatory factors. It is found ‎that the ‎economic ‎parameter ‘’Number of days to start a business’’ inversely proportional with and relevant ‎to the ‘’Technology ‎factor’’ rather ‎than the ‘’Trade factor’’ as previously perceived in the ‎literature. In addition, the investigation came over the bonds ‎between ‎‎’’Online Services ‎Index’’ and ‘’eParticipation index’’. In addition, the inter-relation between HCI ‎calculated by the World ‎Bank ‎established to be more comprehensive as it included the ‎HCI-UN together with the social parameters. Thus, the framework ‎is ‎derived from ‎economic theories and models found relevant from the literature and are adding to the ‎body of knowledge on ‎both ‎levels, the academic and the practice.‎

Economic Growth, EGDI, E-Government, Framework, GDP, Global Competitiveness Index‎

"A Framework at the Economic Growth Nexus, E-Government Portals: "Would It Help?"", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 11, page no.303-311, November-2020, Available :http://www.jetir.org/papers/JETIR2011334.pdf

"A Framework at the Economic Growth Nexus, E-Government Portals: "Would It Help?"", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 11, page no. pp303-311, November-2020, Available at : http://www.jetir.org/papers/JETIR2011334.pdf