Tourism is acknowledged as a pivotal sector for fostering the promotion and development of territorial assets supported by European and national policies. Nevertheless, it is fundamental to address pressing concerns pertaining to the management of local resources and institutional capacity for strategic planning to ensure sustainable success in the long-term perspective. Effective monitoring, adaptation, and collaboration play crucial roles in mitigating these challenges and attaining the envisioned goals of the strategy. However, the organization and management of the territorial capitals currently lack a clear definition, exacerbated by a fragmented approach. In the territorial planning process, determining the implications of tourism-based actions remains a challenge in the debate. This study contributes to structure and implement tourist ecosystems through the application of a structured theoretical model at the local level and the introduction of principles inherit smart tourism management in the tourism value chain. The analytical part of the research focuses on spatial identification of the components that structure the complex tourist ecosystem, follows the discussion of the structural matrix of the system, traceable in a case study as result, and finally the principles of smart planning opens to the future perspective of the research. Through the experimentation of this approach, the research aims to critically reassess the role of tourism in public investment decisions and offer innovative directions for planning in the European industrial strategy.

Enhancing Vulture’s Territorial Assets Through Tourism Ecosystems for Spatial Development / Gatto, Rachele Vanessa; Andrulli, Giovanna; Perrone, Francesca; Corrado, Simone; Cerra, Erika; Scorza, Francesco. - (2024), pp. 285-292. - LECTURE NOTES IN COMPUTER SCIENCE. [10.1007/978-3-031-65318-6_19].

Enhancing Vulture’s Territorial Assets Through Tourism Ecosystems for Spatial Development

Perrone, Francesca;
2024

Abstract

Tourism is acknowledged as a pivotal sector for fostering the promotion and development of territorial assets supported by European and national policies. Nevertheless, it is fundamental to address pressing concerns pertaining to the management of local resources and institutional capacity for strategic planning to ensure sustainable success in the long-term perspective. Effective monitoring, adaptation, and collaboration play crucial roles in mitigating these challenges and attaining the envisioned goals of the strategy. However, the organization and management of the territorial capitals currently lack a clear definition, exacerbated by a fragmented approach. In the territorial planning process, determining the implications of tourism-based actions remains a challenge in the debate. This study contributes to structure and implement tourist ecosystems through the application of a structured theoretical model at the local level and the introduction of principles inherit smart tourism management in the tourism value chain. The analytical part of the research focuses on spatial identification of the components that structure the complex tourist ecosystem, follows the discussion of the structural matrix of the system, traceable in a case study as result, and finally the principles of smart planning opens to the future perspective of the research. Through the experimentation of this approach, the research aims to critically reassess the role of tourism in public investment decisions and offer innovative directions for planning in the European industrial strategy.
2024
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
9783031653179
9783031653186
strategic planning; sustainability; tourism ecosystems
02 Pubblicazione su volume::02a Capitolo o Articolo
Enhancing Vulture’s Territorial Assets Through Tourism Ecosystems for Spatial Development / Gatto, Rachele Vanessa; Andrulli, Giovanna; Perrone, Francesca; Corrado, Simone; Cerra, Erika; Scorza, Francesco. - (2024), pp. 285-292. - LECTURE NOTES IN COMPUTER SCIENCE. [10.1007/978-3-031-65318-6_19].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1772403
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