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Freire, C., Ferreira, F., Carayannis, E. & Ferreira, J. (2023). Artificial intelligence and smart cities: a DEMATEL approach to adaptation challenges and initiatives. IEEE Transactions on Engineering Management. 70 (5), 1881-1899

C. Freire et al.,  "Artificial intelligence and smart cities: a DEMATEL approach to adaptation challenges and initiatives", in IEEE Transactions on Engineering Management, vol. 70, no. 5, pp. 1881-1899, 2023

@article{freire2023_1731867637481,
	author = "Freire, C. and Ferreira, F. and Carayannis, E. and Ferreira, J.",
	title = "Artificial intelligence and smart cities: a DEMATEL approach to adaptation challenges and initiatives",
	journal = "IEEE Transactions on Engineering Management",
	year = "2023",
	volume = "70",
	number = "5",
	doi = "10.1109/TEM.2021.3098665",
	pages = "1881-1899",
	url = "https://ieeexplore.ieee.org/document/9530200"
}

TY  - JOUR
TI  - Artificial intelligence and smart cities: a DEMATEL approach to adaptation challenges and initiatives
T2  - IEEE Transactions on Engineering Management
VL  - 70
IS  - 5
AU  - Freire, C.
AU  - Ferreira, F.
AU  - Carayannis, E.
AU  - Ferreira, J.
PY  - 2023
SP  - 1881-1899
SN  - 0018-9391
DO  - 10.1109/TEM.2021.3098665
UR  - https://ieeexplore.ieee.org/document/9530200
AB  - This article focused on two main topics currently on many agendas: smart cities and Artificial Intelligence (AI). The growing interest in the former is due to these cities’ multidimensionality and adaptability in terms of residents’ needs and the requirements of each municipality's reality. AI, in turn, currently plays a transformative, disruptive role in various areas by performing “smart” tasks, thereby facilitating the automation of processes and differentiation initiatives. Smart city strategic planning, especially in the long term, will most likely have to deal with adaptations to AI. Thus, research is needed that can contribute to a more holistic view of these topics and support decision-making processes in these areas. Based on the epistemological principles of the multiple-criteria decision analysis approach (MCDA), this article developed and tested a dynamic analysis system that allows smart city initiatives to address the challenges of adapting to AI. The proposed system highlights the cause-and-effect relationships in this context. The article included an application of the decision-making trial and evaluation laboratory (DEMATEL) technique. The procedural steps followed to implement this methodology were enhanced by close collaboration with an experienced decision maker, who has coordinated various projects in this research context. The proposed system's contributions and limitations were also analyzed in this article.
ER  -