Journal of Primeasia
Integrative Disciplinary Research | Online ISSN 3064-9870
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Journal of Primeasia

Volume 4 Number 1 2023

Article Contents

RESEARCH ARTICLE   (Open Access)
Contents Vol 4 (1)

Artificial Intelligence and Business Analytics for Sustainable Tourism: Enhancing Environmental and Economic Resilience in the U.S. Industry

Tauhedur Rahman1*, Md Mainul Islam2 , Ismoth Zerine2, Md Rakibul Haque Pranto3, Morium Akter4

+ Author Affiliations

Journal of Primeasia 4 (1) 1-12 https://doi.org/10.25163/primeasia.4110344

Submitted: 01 October 2023 Revised: 19 December 2023  Published: 21 December 2023 

Abstract

Background: The U.S. tourism industry, a major contributor to economic growth, faces increasing pressure to balance profitability with environmental sustainability. While artificial intelligence (AI) and business analytics hold promise in promoting sustainable practices, empirical research on their integration within tourism remains limited. This study addresses this knowledge gap by evaluating the role of AI in enhancing both environmental sustainability and economic resilience in the tourism sector. Methods: A descriptive and correlational research design was employed, involving a sample of 150 tourism businesses across the United States. Data were collected through structured surveys and interviews, focusing on business performance indicators such as profitability, market share, customer satisfaction, and sustainability practices. Statistical analyses, including Pearson correlation, multiple regression, and ANOVA, were applied to assess the relationships between AI adoption and key outcomes. Results: Findings revealed significant positive correlations between AI integration and annual profit (r = 0.58, p < 0.05), market share (r = 0.39, p < 0.05), and customer satisfaction (r = 0.40, p < 0.01). Furthermore, businesses with greater AI adoption demonstrated stronger sustainability outcomes, including waste reduction and carbon footprint minimization. These results indicate that AI serves as a critical driver of both economic performance and environmental stewardship. Conclusion: The study provides empirical evidence that AI-powered business analytics can simultaneously enhance profitability, competitiveness, and sustainability in the U.S. tourism industry. By linking technological adoption with environmental and economic outcomes, the research contributes to the limited body of literature on sustainable tourism and offers practical guidance for businesses aiming to integrate AI into their sustainability strategies.

Keywords: Artificial intelligence, economic resilience, environmental sustainability, tourism, business analytics.

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