Ciência-IUL    Publicações    Descrição Detalhada da Publicação    Exportar

Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Braga, I., Ferreira, F., Ferreira, J., Correia, R., Pereira, L. & Falcão, P. (2021). A DEMATEL analysis of smart city determinants. Technology in Society. 66
Exportar Referência (IEEE)
I. F. Braga et al.,  "A DEMATEL analysis of smart city determinants", in Technology in Society, vol. 66, 2021
Exportar BibTeX
	author = "Braga, I. and Ferreira, F. and Ferreira, J. and Correia, R. and Pereira, L. and Falcão, P.",
	title = "A DEMATEL analysis of smart city determinants",
	journal = "Technology in Society",
	year = "2021",
	volume = "66",
	number = "",
	doi = "10.1016/j.techsoc.2021.101687",
	url = ""
Exportar RIS
TI  - A DEMATEL analysis of smart city determinants
T2  - Technology in Society
VL  - 66
AU  - Braga, I.
AU  - Ferreira, F.
AU  - Ferreira, J.
AU  - Correia, R.
AU  - Pereira, L.
AU  - Falcão, P.
PY  - 2021
SN  - 0160-791X
DO  - 10.1016/j.techsoc.2021.101687
UR  -
AB  - Substantial population growth, increasing urbanization, overloaded infrastructure, more energy consumption, environmental impacts, and investment in technological developments are major challenges in city management and development. Municipalities seek to improve their citizens’ wellbeing and quality of life, but the need to find a balance between these complex factors makes decision-making processes more difficult. Experts must analyze the determinants of smart cities, which are urban centers intended to be socially involved, habitable, and economically and environmentally sustainable, and that rely strongly on technology and innovation. Based on multiple-criteria decision analysis (MCDA) principles, this study combines cognitive mapping techniques and the decision-making trial and evaluation laboratory (DEMATEL) method to develop a multicriteria model that can help managers analyze smart city determinants in a collaborative manner. The research included identifying these determinants and their respective cause-and-effect relationships using an expert panel’s experience and knowledge related to the subject under analysis. The results were validated by both the panel and the city councilor responsible for mobility and municipal projects within Évora City Council, Portugal, which has implemented smart city strategies. The latter specialist verified that the proposed evaluation system can be used as a tool to facilitate smart city collaborative decision-making processes. The study’s main advantages and limitations are also analyzed and discussed.
ER  -