Artikel

A framework for digital transformation towards smart governance: Using big data tools to target SDGs in Ceará, Brazil

Smart Governance is a key pillar of the Smart City movement and an important pathway to achieving Sustainable Development Goals through digital transformation and technologic tools. However, the digital transformation is highly contextual and solutions from the Global North may not be adequate to the reality of developing countries. We present how digital tools and policies, as part of the broader agenda for digital transformation, can touch upon several sustainability goals when focused on benefitting vulnerable citizens. Examples come from observing the process, stakeholders and products developed during the Digital Transformation of Ceará between 2019 and 2022. We build a framework that further links those examples with the SDGs and the Brazilian Letter for Smart Cities, a national set of guidelines towards equitable smart transitions. By setting the framework vis-a-vis a grounded experience, we seek to present seven components which can be adapted to other contexts as drivers of a Smart and Sustainable Governance. We argue that, by applying those elements to build digital tools that help governance, it is possible to create solutions that are inherently tied to SDGs.

Sprache
Englisch

Erschienen in
Journal: Journal of Urban Management ; ISSN: 2226-5856 ; Volume: 12 ; Year: 2023 ; Issue: 1 ; Pages: 74-87

Klassifikation
Landschaftsgestaltung, Raumplanung
Thema
Big Data
Brazilian Letter
Digital Transformation
E-Government
SDG 16
Smart City

Ereignis
Geistige Schöpfung
(wer)
Furtado, Lara Sucupira
da Silva, Ticiana Linhares Coelho
Ferreira, Marianna Gonçalves Fontenele
de Macedo, José Antônio Fernandes
Moreira, Jessika Kantnila de Melo Lima Cavalcanti
Ereignis
Veröffentlichung
(wer)
Elsevier
(wo)
Amsterdam
(wann)
2023

DOI
doi:10.1016/j.jum.2023.01.003
Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Furtado, Lara Sucupira
  • da Silva, Ticiana Linhares Coelho
  • Ferreira, Marianna Gonçalves Fontenele
  • de Macedo, José Antônio Fernandes
  • Moreira, Jessika Kantnila de Melo Lima Cavalcanti
  • Elsevier

Entstanden

  • 2023

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