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Artificial intelligence as a catalyst for sustainable tourism growth and economic cycles

Bibliographic Data

ID21404566
AuthorsAbu Bakkar Siddik (0000-0002-3953-198X, University of Science and Technology of China), Md Shak Forid (0000-0001-6795-4843, Ahsanullah University of Science and Technology), Yong Li (0000-0002-4884-9930, University of Science and Technology of China), Li Yong (0000-0002-6838-7841), Anna Min Du (0000-0002-1715-8774, Edinburgh Napier University, corresponding author), John W Goodell (0000-0003-4126-9244, University of Akron)
Year2025
Volume210
Pages123875
Publication date2025-01-01
Open AccessYes
TypeARTICLE
VenueTechnological Forecasting and Social Change (JOURNAL)
Journal identifiersISSN: 0040-1625 • E-ISSN: 1873-5509
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.techfore.2024.123875
OpenAlexW4404446917
LanguageEN
Citations received15
References cited61

We investigate the role of artificial intelligence (AI) in promoting sustainable tourism growth and its implications for the next technological and economic cycle. Focusing on the top ten global tourist destinations from 2010 to 2022, we investigate the interplay between AI adoption, gross domestic product (GDP), foreign direct investment (FDI), inflation (INF), and urbanization (UB). Utilizing a multi-method approach that integrates artificial neural network (ANN) analysis with traditional econometric models, the findings highlight that AI is a critical driver of tourism efficiency and smart tourism capabilities, significantly enhancing tourism sustainability. The study reveals substantial contributions from GDP, INF, FDI, and UB as well. AI's role as a pivotal technological catalyst in sustainable tourism development underscores its importance in shaping the next economic cycle. These insights provide essential guidance for policymakers and industry stakeholders on leveraging AI to propel tourism growth, aligning with broader goals of economic and environmental sustainability. • AI significantly enhances tourism efficiency and sustainability in top global destinations from 2010 to 2022. • Key economic factors like GDP, FDI, inflation, and urbanization also contribute to sustainable tourism growth. • AI is a pivotal catalyst in shaping the next technological and economic cycle for sustainable tourism development

Economics · Geography · Natural resource economics · Tourism · Cruise Tourism Development and Management · Digital Marketing and Social Media · Diverse Aspects of Tourism Research

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Citations per year15
Citation span2025 - 2026 (2)
Highly citedNo

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