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dc.contributor.authorDhar, Soma
dc.date.accessioned2026-08-03T04:44:06Z
dc.date.available2026-08-03T04:44:06Z
dc.date.issued2025-11
dc.identifier.isbn978-984-35-5270-9
dc.identifier.otherICEBTM-25-1097
dc.identifier.urihttps://icebtm.iub.edu.bd
dc.identifier.urihttps://ar.iub.edu.bd/handle/11348/1437
dc.description.abstractTourism in Bangladesh has significant potential to improve environmental sustainability, promote cultural preservation, and stimulate economic growth. This study examines how artificial intelligence (AI) can transform the sustainable tourism and hospitality industry in Bangladesh. Using a quantitative approach, the research analyzes tourism revenue data from 1995 to 2021, with tourism revenue as the independent variable and GDP per capita as the dependent variable. The results indicate a positive correlation between tourism revenue and GDP per capita, suggesting a beneficial impact on economic growth. Additionally, the Johansen Cointegration method confirms a long-term relationship between these variables. Despite this potential, the industry faces several challenges, including inadequate infrastructure, limited promotion, safety concerns, and airline-related issues. To address these challenges and promote economic sustainability, the government should implement targeted policies. This study provides recommendations aimed at balancing economic growth, environmental protection, and social responsibility while emphasizing community benefits and cultural preservation.en_US
dc.format.extentpp. 217-222
dc.language.isoenen_US
dc.publisherSchool of Business and Entrepreneurship, Independent University, Bangladesh (IUB)en_US
dc.sourceThe Proceedings of the International Conference on Economics, Business and Technology Management (ICEBTM 2025)
dc.subjectArtificial Intelligenceen_US
dc.subjectEconomic growthen_US
dc.subjectGross domestic producten_US
dc.subjectSustainable tourismen_US
dc.subjectTourism revenueen_US
dc.subjectTouristsen_US
dc.titleConnecting tourism and economic growth: rethinking Bangladesh through AI-powered sustainable tourismen_US
dc.typeConference paperen_US
dc.identifier.doihttps://doi.org/10.67508/iub.icebtm.2025.032


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