人工智能作为旅游业可持续增长和经济周期的催化剂

IF 12.9 1区管理学 Q1 BUSINESS

Technological Forecasting and Social Change Pub Date : 2024-11-16 DOI:10.1016/j.techfore.2024.123875

Abu Bakkar Siddik , Md. Shak Forid , Li Yong , Anna Min Du , John W. Goodell

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引用次数: 0

摘要

我们研究了人工智能（AI）在促进旅游业可持续增长中的作用及其对下一个技术和经济周期的影响。我们以 2010 年至 2022 年全球十大旅游目的地为重点，研究了人工智能的采用、国内生产总值（GDP）、外国直接投资（FDI）、通货膨胀（INF）和城市化（UB）之间的相互作用。研究采用多种方法，将人工神经网络（ANN）分析与传统计量经济学模型相结合，结果突出表明，人工智能是旅游业效率和智慧旅游能力的关键驱动力，可显著提高旅游业的可持续性。研究还揭示了 GDP、INF、FDI 和 UB 的实质性贡献。人工智能作为旅游业可持续发展的关键技术催化剂，凸显了其在塑造下一个经济周期中的重要性。这些见解为政策制定者和行业利益相关者提供了重要指导，帮助他们利用人工智能推动旅游业增长，实现经济和环境可持续发展的更广泛目标。

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

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.

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来源期刊

Technological Forecasting and Social Change Multiple-

CiteScore

21.30

自引率

10.80%

发文量

813

期刊介绍： Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.