Abstract
The purpose of the article is to identify a key analysis able to combine smart governance with urban and place-based dynamics in island contexts. To this end, authors schematize types, classifications, levels of smart performance and also the most common issues and resolutions in island contexts, starting from a systematic review of the terminology studied in the last 11 years. This literature review proposes a systematic approach by analyzing the most well-known databases in scientific research (Google Scholar, Scopus and Science Direct) in order to catalog and systematize the most optimal methodologies and approaches in the study of island contexts. This article shows a first phase of a broader research, and it provides a bibliographic basis to understand how the Smart paradigm can change the normal management perspective of the island territory.
Keywords
This paper is the result of the joint work of the authors. In particular, Sects. 2, 3, and 4 have been jointly written by Giulia Desogus and Chiara Garau. Giulia Desogus has written Sect. 1. Chiara Garau has written Sect. 5 and revised the whole paper and checked for its comprehensive consistency. Pasquale Mistretta supervised the article.
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Acknowledgments
This study was supported by the MIUR (Ministry of Education, Universities and Research [Italy]) through a project entitled Governing tHe smart city: a governance-centred approach to SmarT urbanism - GHOST (Project code: RBSI14FDPF; CUP Code: F22I15000070008), financed with the SIR (Scientific Independence of Young Researchers) programme. We authorize the MIUR to reproduce and distribute reprints for Governmental purposes, notwithstanding any copyright notations thereon. Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors, and do not necessarily reflect the views of the MIUR.
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Desogus, G., Mistretta, P., Garau, C. (2019). Smart Islands: A Systematic Review on Urban Policies and Smart Governance. In: Misra, S., et al. Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science(), vol 11624. Springer, Cham. https://doi.org/10.1007/978-3-030-24311-1_10
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