Artificial Intelligence in Sustainable Tourism- Advance Efficiency and Resource Management in Hospitality

Abstract

Purpose – This study explores how artificial intelligence (AI) can promote sustainable tourism, specifically in the areas of resource management and efficiency in the hospitality industry, while addressing related socioeconomic and environmental issues.

Method – This study uses a mixed-methods approach to examine how AI applications, such as predictive analytics, energy management systems, smart technologies, and AI-based tools, can optimize resources, improve energy efficiency, and increase visitor engagement in the hospitality industry. It does this by methodically reviewing industry reports, scholarly sources, and social media content.



Results – According to the findings, AI-driven solutions greatly promote sustainable tourism by reducing waste, increasing operational and energy efficiency, and encouraging responsible consumption and climate action. This is particularly in line with Sustainable Development Goals (SDGs) like Clean Energy (SDG 7), Responsible Consumption (SDG 12), and Climate Action (SDG 13). However, obstacles like algorithmic bias, high implementation costs, and data privacy issues prevent AI technologies from being widely adopted in the industry.

Conclusion – AI is essential to achieving sustainability goals and improving operational efficiency in the hospitality sector. To fully realize AI's potential for environmental and socioeconomic advancement in tourism, broader adoption, uniform sustainability metrics, and ethical frameworks are necessary.

Recommendation – The goals of future research should be to create standardized frameworks for sustainability assessments, create scalable and reasonably priced AI solutions for SMEs, and investigate the ethical and industry-specific ramifications of AI use in sustainable tourism.

Research Implications – By highlighting areas for further research, especially in the scaling and equitable implementation of AI technologies within the industry, this article enhances the body of knowledge on AI's contributions to sustainable tourism and hospitality.

Author Biographies

Mohammad Abul Basher Rasel, University of North Texas, USA

Mohammad Abul Basher Rasel: I am pursuing my MS in Hospitality and Tourism Data Analytics from the University of North Texas, USA. I love research, and I have a total of six publications with one Q1 journal publication. In the future, I want to be a good researcher.

MD Rahimul Islam, University of North Texas, USA

MD Rahimul Islam: I just started my research career. I am very pleased to be a co-author of this research paper. I believe it will encourage me to work more closely with researchers. Right now, I am pursuing my master's program at the University of North Texas.

Md Tanvir Hasan Siddiqi, University of North Texas, USA

Md Tanvir Hasan Siddiqi: I completed my MS in Merchandising & Digital Retailing from the University of North Texas. Right now, I am working for the Mercy group in New York. I am very happy to be a co-author, and I am very excited to work on another research paper.

Published
2025-10-31
How to Cite
RASEL, Mohammad Abul Basher; ISLAM, MD Rahimul; SIDDIQI, Md Tanvir Hasan. Artificial Intelligence in Sustainable Tourism- Advance Efficiency and Resource Management in Hospitality. International Journal of Computing Sciences Research, [S.l.], v. 9, p. 3859-3882, oct. 2025. ISSN 2546-115X. Available at: <//stepacademic.net/ijcsr/article/view/710>. Date accessed: 14 dec. 2025.
Citation Formats
Issue
Vol 9 (2025): Volume 9
Section
Articles
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