Modeling the smartness or smart development levels of developing countries’ cities

The race towards smart city status, influenced by the perceived benefits of innovation and sustainability in smart city concepts, has engendered the need to measure the smartness/smart development levels of developing countries' cities to improve upon urban infrastructures. However, various str...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Prince Antwi-Afari, De-Graft Owusu-Manu, S. Thomas Ng, George Asumadu
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Smart city Urban framework Fuzzy synthetic evaluation Indices Developing countries. TOPICS Applications Urbanization. City and country HT361-384 Political institutions and public administration (General) JF20-2112
Acceso en línea:	https://doaj.org/article/64c679f3ac7e4ad1a047d56e6c7e0162
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:64c679f3ac7e4ad1a047d56e6c7e0162
record_format	dspace
spelling	oai:doaj.org-article:64c679f3ac7e4ad1a047d56e6c7e01622021-11-26T04:30:32ZModeling the smartness or smart development levels of developing countries’ cities2226-585610.1016/j.jum.2021.06.005https://doaj.org/article/64c679f3ac7e4ad1a047d56e6c7e01622021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2226585621000662https://doaj.org/toc/2226-5856The race towards smart city status, influenced by the perceived benefits of innovation and sustainability in smart city concepts, has engendered the need to measure the smartness/smart development levels of developing countries' cities to improve upon urban infrastructures. However, various strategies for determining cities' smartness/smart development levels are mostly inconclusive by not considering all the dimensions in urban space in their assessments. This study adopted a fuzzy synthetic evaluation (FSE) technique to model the smartness/smart development levels of a developing country city using a six-dimensional framework which provides a comprehensive perspective on the characterization of urban frameworks of cities. A positivism research philosophy using deductive approach and purposive sampling technique was adopted. Quantitative data were collected from experts using a close-ended questionnaire in which 76 responses were retrieved. The study modeled eight indicators for each of the six dimensions using FSE to determine the smartness/smart development level index of each dimension towards the determination of the overall smartness/smart development level index of the developing country city. After analysis, the developing country city and each of the six dimensions used to characterize the city were determined as fairly developed. The implications of such level of ranking meant that the city is below the acceptable smart city status, and hence, improvement should be made in policy applications along the 48 identified indicators such as empowering human resources, sustainable resource consumption, etc., to propel the six dimensions towards smart city. This study could also serve as a theoretical model for determining the smartness/smart development levels of developing countries’ cities. The study also reveals aspects in the urban framework where policy makers and urban developers could target to improve the smartness/smart development levels of cities towards the smart city status.Prince Antwi-AfariDe-Graft Owusu-ManuS. Thomas NgGeorge AsumaduElsevierarticleSmart cityUrban frameworkFuzzy synthetic evaluationIndicesDeveloping countries. TOPICSApplicationsUrbanization. City and countryHT361-384Political institutions and public administration (General)JF20-2112ENJournal of Urban Management, Vol 10, Iss 4, Pp 369-381 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Smart city Urban framework Fuzzy synthetic evaluation Indices Developing countries. TOPICS Applications Urbanization. City and country HT361-384 Political institutions and public administration (General) JF20-2112
spellingShingle	Smart city Urban framework Fuzzy synthetic evaluation Indices Developing countries. TOPICS Applications Urbanization. City and country HT361-384 Political institutions and public administration (General) JF20-2112 Prince Antwi-Afari De-Graft Owusu-Manu S. Thomas Ng George Asumadu Modeling the smartness or smart development levels of developing countries’ cities
description	The race towards smart city status, influenced by the perceived benefits of innovation and sustainability in smart city concepts, has engendered the need to measure the smartness/smart development levels of developing countries' cities to improve upon urban infrastructures. However, various strategies for determining cities' smartness/smart development levels are mostly inconclusive by not considering all the dimensions in urban space in their assessments. This study adopted a fuzzy synthetic evaluation (FSE) technique to model the smartness/smart development levels of a developing country city using a six-dimensional framework which provides a comprehensive perspective on the characterization of urban frameworks of cities. A positivism research philosophy using deductive approach and purposive sampling technique was adopted. Quantitative data were collected from experts using a close-ended questionnaire in which 76 responses were retrieved. The study modeled eight indicators for each of the six dimensions using FSE to determine the smartness/smart development level index of each dimension towards the determination of the overall smartness/smart development level index of the developing country city. After analysis, the developing country city and each of the six dimensions used to characterize the city were determined as fairly developed. The implications of such level of ranking meant that the city is below the acceptable smart city status, and hence, improvement should be made in policy applications along the 48 identified indicators such as empowering human resources, sustainable resource consumption, etc., to propel the six dimensions towards smart city. This study could also serve as a theoretical model for determining the smartness/smart development levels of developing countries’ cities. The study also reveals aspects in the urban framework where policy makers and urban developers could target to improve the smartness/smart development levels of cities towards the smart city status.
format	article
author	Prince Antwi-Afari De-Graft Owusu-Manu S. Thomas Ng George Asumadu
author_facet	Prince Antwi-Afari De-Graft Owusu-Manu S. Thomas Ng George Asumadu
author_sort	Prince Antwi-Afari
title	Modeling the smartness or smart development levels of developing countries’ cities
title_short	Modeling the smartness or smart development levels of developing countries’ cities
title_full	Modeling the smartness or smart development levels of developing countries’ cities
title_fullStr	Modeling the smartness or smart development levels of developing countries’ cities
title_full_unstemmed	Modeling the smartness or smart development levels of developing countries’ cities
title_sort	modeling the smartness or smart development levels of developing countries’ cities
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/64c679f3ac7e4ad1a047d56e6c7e0162
work_keys_str_mv	AT princeantwiafari modelingthesmartnessorsmartdevelopmentlevelsofdevelopingcountriescities AT degraftowusumanu modelingthesmartnessorsmartdevelopmentlevelsofdevelopingcountriescities AT sthomasng modelingthesmartnessorsmartdevelopmentlevelsofdevelopingcountriescities AT georgeasumadu modelingthesmartnessorsmartdevelopmentlevelsofdevelopingcountriescities
_version_	1718409844557348864

Modeling the smartness or smart development levels of developing countries’ cities

Ejemplares similares