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description Publicationkeyboard_double_arrow_right Article 2023 AustraliaPublisher:MDPI AG Authors: Ana Cristina Fachinelli; Tan Yigitcanlar; Jamile Sabatini-Marques; Tatiana Tucunduva Philippi Cortese; +2 AuthorsAna Cristina Fachinelli; Tan Yigitcanlar; Jamile Sabatini-Marques; Tatiana Tucunduva Philippi Cortese; Debora Sotto; Bianca Libardi;doi: 10.3390/su151310323
While smart city transformation is a remarkably popular topic among urban policymakers across the globe, there is little evidence on how to evaluate a city’s smartness level accurately. This study aims to bridge this knowledge gap by applying a novel assessment framework to a case study context and generating useful insights. To achieve this aim, the study evaluates the smartness levels of 27 Brazilian state capital cities through the indicators of productivity and innovation, livability and well-being, sustainability and accessibility, governance and planning, and connectivity and innovation. This urban smartness analysis is conducted through a smart city assessment framework that brings up three categories of smart city performance types—i.e., leading, following, and developing. The findings of the analysis revealed that the common characteristics of cities with leading smartness performance are having: (a) a strong innovation ecosystem; (b) Specific legislation for developing entrepreneurship; (c) Training opportunities for skilled labor; and (d) Conditions for knowledge-based development and digital transformation offerings and readiness. The analysis identified the smartest cities in Brazil as follows: Florianópolis, São Paulo, Vitória, Curitiba, Porto Alegre, Brasília, Belo Horizonte, Rio de Janeiro, and Cuiabá. This study offers insights from the application of a novel method in the Brazilian context for the local authorities to consider adopting for smart city performance and progress analyses and subsequently making necessary interventions to transform their smart city policy and practice to realize their desired goals.
Queensland Universit... arrow_drop_down Queensland University of Technology: QUT ePrintsArticle . 2023License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su151310323&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 10 citations 10 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Queensland Universit... arrow_drop_down Queensland University of Technology: QUT ePrintsArticle . 2023License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su151310323&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu
description Publicationkeyboard_double_arrow_right Article 2023 AustraliaPublisher:MDPI AG Authors: Ana Cristina Fachinelli; Tan Yigitcanlar; Jamile Sabatini-Marques; Tatiana Tucunduva Philippi Cortese; +2 AuthorsAna Cristina Fachinelli; Tan Yigitcanlar; Jamile Sabatini-Marques; Tatiana Tucunduva Philippi Cortese; Debora Sotto; Bianca Libardi;doi: 10.3390/su151310323
While smart city transformation is a remarkably popular topic among urban policymakers across the globe, there is little evidence on how to evaluate a city’s smartness level accurately. This study aims to bridge this knowledge gap by applying a novel assessment framework to a case study context and generating useful insights. To achieve this aim, the study evaluates the smartness levels of 27 Brazilian state capital cities through the indicators of productivity and innovation, livability and well-being, sustainability and accessibility, governance and planning, and connectivity and innovation. This urban smartness analysis is conducted through a smart city assessment framework that brings up three categories of smart city performance types—i.e., leading, following, and developing. The findings of the analysis revealed that the common characteristics of cities with leading smartness performance are having: (a) a strong innovation ecosystem; (b) Specific legislation for developing entrepreneurship; (c) Training opportunities for skilled labor; and (d) Conditions for knowledge-based development and digital transformation offerings and readiness. The analysis identified the smartest cities in Brazil as follows: Florianópolis, São Paulo, Vitória, Curitiba, Porto Alegre, Brasília, Belo Horizonte, Rio de Janeiro, and Cuiabá. This study offers insights from the application of a novel method in the Brazilian context for the local authorities to consider adopting for smart city performance and progress analyses and subsequently making necessary interventions to transform their smart city policy and practice to realize their desired goals.
Queensland Universit... arrow_drop_down Queensland University of Technology: QUT ePrintsArticle . 2023License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su151310323&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 10 citations 10 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Queensland Universit... arrow_drop_down Queensland University of Technology: QUT ePrintsArticle . 2023License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su151310323&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu