Emerging Trends and Innovations in the Future of Sustainable Tourism
Keywords:
Sustainability, Technology, Responsibility, Community-Based, Alternative Accommodation, Regenerative Tourism, Tourism
Abstract
This paper investigates the future development of sustainable tourism by examining emerging trends and innovations that prioritize environmental conservation, community engagement, and social responsibility. Despite the industry's ongoing growth, there is a significant gap in understanding how these trends can be effectively integrated to achieve long-term sustainability. Utilizing a combination of literature review, comparative analysis, and scientific observation, the study finds that technological advancements such as IoT, AI, and VR, along with alternative lodging options and community-based tourism, are pivotal. Results highlight that these innovations not only enhance visitor experiences but also support environmental and economic sustainability. The implications suggest that embracing these trends can lead to a more resilient and responsible tourism industry, benefiting both destinations and travelers.
References
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2. Kitsios, F., Mitsopoulou, E., Moustaka, E., Kamariotou, M., 2022. User-generated content behavior and digital tourism services: an SEM-neural network model for information trust in social networking sites, 100056-100056 Int. J. Inf. Manag. Data Insights 2 (1). https://doi.org/10.1016/j.jjimei.2021.100056.
3. Naz, F., Agrawal, R., Kumar, A., Gunasekaran, A., Majumdar, A., Luthra, S., 2022. Reviewing the applications of artificial intelligence in sustainable supply chains: exploring research propositions for future directions. Bus. Strategy Environ. 31 (5), 2400–2423. https://doi.org/10.1002/bse.3034
4. Vieira, Isabel & Alén, Elisa & Fernandes, Didiana & Rodrigues, Ana. (2024). Navigating uncertainty: The role of perceived risks in supporting sustainable tourism development in low-density territories. Journal of Destination Marketing & Management. 32. 10.1016/j.jdmm.2024.100895.
5. Lee, T. H. (2013). Influence analysis of community resident support for sustainable tourism development. Tourism Management, 34, 37–46. https://doi.org/10.1016/j. tourman.2012.03.007
6. Wang, L. (2022). [Retracted] Evaluation of High‐quality Development of Shaanxi’s Economy Based on Digital Economy Based on Machine Learning Algorithm. International Transactions on Electrical Energy Systems, 2022(1), 6327347.
7. Wang, H., Bai, K., Wang, H., & Rafiqul, I. (2022). Research on the motivation mechanism of precise poverty alleviation in rural tourism in China. Sustainability, 14(21), 14328.
8. Hu, X. (2020, April). The evaluation of tourism industry efficiency in Hubei province is based on three-stage DEA. In Proceedings of the 2020 2nd International Conference on Big Data and Artificial Intelligence (pp. 239-244).
9. Miao, F., Guo, X. R., & Liu, R. (2009, December). The research on digital tourism engineering evaluation method is based on FAHP. In 2009 2nd International Conference on Power Electronics and Intelligent Transportation System (PEITS) (Vol. 1, pp. 408-411). IEEE.
10. Huang, Y. C., Backman, K. F., Backman, S. J., & Chang, L. L. (2016). Exploring the implications of virtual reality technology in tourism marketing: An integrated research framework. International Journal of Tourism Research, 18(2), 116-128.
11. Zeng, M., Shen, S., & Gu, J. (2023). How does the integration of cultural and tourism industries impact the value added to tourism value chain: Evidences from Jiangsu Province of China. Plos one, 18(6), e0287610.
12. Niewiadomski, P., & Brouder, P. (2022). Towards an evolutionary approach to sustainability transitions in tourism. In Handbook of innovation for sustainable tourism (pp. 82-110). Edward Elgar Publishing. abdn.ac.uk
Published
2024-07-27
How to Cite
Bakhromkulova, Z. (2024). Emerging Trends and Innovations in the Future of Sustainable Tourism. Central Asian Journal of Innovations on Tourism Management and Finance, 5(4), 92-98. https://doi.org/10.51699/cajitmf.v5i4.715
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