Artificial Intelligence (AI) in the Management of Inter-Municipal Tourism Consortia ()
ABSTRACT
The main objective of this article is to analyze how
the application of artificial intelligence (AI) contributes to the integrated
management of inter-municipal tourism consortia, enabling better planning,
decision-making, and project execution in tourism municipal departments.
Integrated management of inter-municipal tourism consortia is a relevant issue
as it allows for coordinated actions aimed at promoting regional tourism in a
sustainable manner. To achieve this objective, bibliographic reviews and analysis
of the characteristics of existing consortia in this segment were carried out,
providing qualitative and descriptive aspects to the study. The results
indicate that AI can be applied in various stages of managing these consortia,
from identifying opportunities to evaluating results, including data analysis
and demand forecasting. It was concluded that the application of AI can be an
important strategy to improve the management of these consortia and contribute
to the sustainable development of the sector. Suggestions for future studies
include conducting empirical research to assess the impact of integrated AI
models on the management of inter-municipal tourism consortia. Additionally, it
is important to explore how emerging technologies such as the Internet of
Things (IoT) and Virtual Reality (VR) can be integrated with AI to further
enhance the integrated management of these consortia.
Share and Cite:
Zancan, C. , Passador, J. and Passador, C. (2023) Artificial Intelligence (AI) in the Management of Inter-Municipal Tourism Consortia.
Open Journal of Business and Management,
11, 1454-1478. doi:
10.4236/ojbm.2023.114080.
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