E-Governance in Smart Cities: Global Trends and Key Enablers
A smart city is a complex concept that can be analyzed from different aspects and points of view. E-governance plays a key role in facilitating the integration of all elements of a smart city. The purpose of the article is to investigate key enablers of e-governance in terms of economic, social, pol...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-06-01
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| Series: | Smart Cities |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2624-6511/6/4/78 |
| _version_ | 1797583197904568320 |
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| author | Aleksandra Kuzior Olena Pakhnenko Inna Tiutiunyk Serhiy Lyeonov |
| author_facet | Aleksandra Kuzior Olena Pakhnenko Inna Tiutiunyk Serhiy Lyeonov |
| author_sort | Aleksandra Kuzior |
| collection | DOAJ |
| description | A smart city is a complex concept that can be analyzed from different aspects and points of view. E-governance plays a key role in facilitating the integration of all elements of a smart city. The purpose of the article is to investigate key enablers of e-governance in terms of economic, social, political, information and technological indicators. The research base includes 68 smart cities selected on the basis of different regional affiliations and different economic, social and political developments. The authors apply the methods of cluster analysis (to divide smart cities into clusters according to e-governance indicators); construction of an integral indicator using the linear mathematical model and the Fishburn formula; VAR/VEC modeling (to stud the key factors influencing the development of e-government in smart cities). It was found that the Human Development Index has the greatest impact on e-governance, while the GNI per capita indicator demonstrated the absence of influence for all clusters. The factor of information technologies was defined as the main factor of direct influence on the Smart City Governance Index for smart cities of the first cluster with the highest indicators of e-governance. |
| first_indexed | 2024-03-10T23:35:27Z |
| format | Article |
| id | doaj.art-32d668e38f43479489b0bdfdd18fb255 |
| institution | Directory Open Access Journal |
| issn | 2624-6511 |
| language | English |
| last_indexed | 2024-03-10T23:35:27Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Smart Cities |
| spelling | doaj.art-32d668e38f43479489b0bdfdd18fb2552023-11-19T03:00:21ZengMDPI AGSmart Cities2624-65112023-06-01641663168910.3390/smartcities6040078E-Governance in Smart Cities: Global Trends and Key EnablersAleksandra Kuzior0Olena Pakhnenko1Inna Tiutiunyk2Serhiy Lyeonov3Department of Applied Social Sciences, Faculty of Organization and Management, Silesian University of Technology, 26 Roosevelt Street, 41-800 Zabrze, PolandDepartment of Financial Technologies and Entrepreneurship, Sumy State University, 40007 Sumy, UkraineDepartment of Financial Technologies and Entrepreneurship, Sumy State University, 40007 Sumy, UkraineEconomic Cybernetics Department, Sumy State University, 40007 Sumy, UkraineA smart city is a complex concept that can be analyzed from different aspects and points of view. E-governance plays a key role in facilitating the integration of all elements of a smart city. The purpose of the article is to investigate key enablers of e-governance in terms of economic, social, political, information and technological indicators. The research base includes 68 smart cities selected on the basis of different regional affiliations and different economic, social and political developments. The authors apply the methods of cluster analysis (to divide smart cities into clusters according to e-governance indicators); construction of an integral indicator using the linear mathematical model and the Fishburn formula; VAR/VEC modeling (to stud the key factors influencing the development of e-government in smart cities). It was found that the Human Development Index has the greatest impact on e-governance, while the GNI per capita indicator demonstrated the absence of influence for all clusters. The factor of information technologies was defined as the main factor of direct influence on the Smart City Governance Index for smart cities of the first cluster with the highest indicators of e-governance.https://www.mdpi.com/2624-6511/6/4/78smart citygovernancedigital technologysustainabilityhuman developmentwell-being |
| spellingShingle | Aleksandra Kuzior Olena Pakhnenko Inna Tiutiunyk Serhiy Lyeonov E-Governance in Smart Cities: Global Trends and Key Enablers Smart Cities smart city governance digital technology sustainability human development well-being |
| title | E-Governance in Smart Cities: Global Trends and Key Enablers |
| title_full | E-Governance in Smart Cities: Global Trends and Key Enablers |
| title_fullStr | E-Governance in Smart Cities: Global Trends and Key Enablers |
| title_full_unstemmed | E-Governance in Smart Cities: Global Trends and Key Enablers |
| title_short | E-Governance in Smart Cities: Global Trends and Key Enablers |
| title_sort | e governance in smart cities global trends and key enablers |
| topic | smart city governance digital technology sustainability human development well-being |
| url | https://www.mdpi.com/2624-6511/6/4/78 |
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