ANALYSING THE ROLE OF AI-DRIVEN DIGITAL MEDIA CONTENT IN PROMOTING SUSTAINABLE TOURISM PRACTICES IN UTTARAKHAND
DOI:
https://doi.org/10.5281/zenodo.21801985Keywords:
Artificial Intelligence (AI), Digital Media Content, Sustainable Tourism, Environmental Awareness, Uttarakhand TourismAbstract
Artificial Intelligence (AI)-driven digital media has emerged as a transformative tool for promoting sustainable tourism by providing personalized travel information, intelligent recommendations, and environmentally responsible tourism content. This study analyses the role of AI-driven digital media content in promoting sustainable tourism practices in Uttarakhand. A quantitative research design was adopted, and primary data were collected from 80 tourists visiting major destinations in Uttarakhand using a structured questionnaire. The data were analysed using descriptive statistics, Pearson correlation, and regression analysis through SPSS. The findings revealed that respondents reported a high perception of AI-driven digital media (Mean = 4.18), while sustainable tourism practices also received a favourable mean score (Mean = 4.07). A strong positive correlation (r = 0.721) and significant regression results (β = 0.721, p < 0.001; R² = 0.520) confirmed that AI-powered digital media positively influences tourists' environmental awareness and responsible travel behaviour. The study recommends integrating AI-based digital communication strategies into tourism marketing to support sustainable destination development and environmental conservation in Uttarakhand.
References
I. Alves, J., Arantes, L., & Moreira, A. C. (2025). AI-powered sustainable tourism: Aligning innovations with the Sustainable Development Goals. Tourism and Hospitality Research. https://doi.org/10.1177/14673584251409416
II. Baggio, R., Micera, R., & Del Chiappa, G. (2020). Smart tourism destinations: A critical reflection. Journal of Hospitality and Tourism Technology, 11(3), 407–423.
III. Banerjee, A., Satish, A., & Wörndl, W. (2024). Enhancing tourism recommender systems for sustainable city trips using retrieval-augmented generation.
IV. Das, P., Mandal, S., Nedungadi, P., et al. (2025). Unveiling sustainable tourism themes with machine learning based topic modeling. Discover Sustainability, 6, 280.
V. Duarte, L., Torres, J., Ribeiro, V., & Moreira, I. (2020). Artificial Intelligence Systems Applied to Tourism: A Survey.
VI. Gössling, S., & Mei, X. Y. (2025). AI and sustainable tourism: An assessment of risks and opportunities for the SDGs. Current Issues in Tourism. https://doi.org/10.1080/13683500.2025.2477142
VII. Jain, P. K., & Pamula, R. (2020). A systematic literature review on machine learning applications for consumer sentiment analysis using online reviews.
VIII. Janik, A., & Ryszko, A. (2026). Social media and environmentally sustainable tourism: Insights from a systematic literature review of the tourist perspective. Information Technology & Tourism.
IX. Kumari, M., Guleria, S., & Kumar, S. (2024). Sustainability in tourism and hospitality: Artificial intelligence role in eco-friendly practices in Indian hotels. Journal of Tourism Theory and Research, 10(2), 46–56.
X. Othmane, B., & Reddy, H. (2026). Artificial intelligence in sustainable tourism development: A critical review of governance and managerial implications. Discover Sustainability.
XI. Su, Y., & Zakaria, N. H. (2026). Tourist evaluation and reliance on AI-generated content for sustainable digital tourism: A process-oriented systematic review. Sustainability, 18(12), 6149.
XII. Theodorakopoulos, L., Kalliampakou, I., Theodoropoulou, A., & Halkiopoulos, C. (2026). AI-driven information systems for sustainable tourism: A review of IoT and big data applications. Journal of Human, Earth, and Future, 7(1), 263–291.
XIII. World Travel & Tourism Council. (2024). Economic Impact Research 2024. WTTC.
Additional Files
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 International Educational Applied Scientific Research Journal

This work is licensed under a Creative Commons Attribution 4.0 International License.