Smart E-Tourism Technologies for Sustainable Tourism Development: A Systematic Literature Review of Emerging Technologies, Challenges, and Future Directions

This study presents a Systematic Literature Review (SLR) of smart e-tourism, examining its evolution, the technologies driving its development, current implementation practices, sustainability challenges, and emerging research directions. The review is based on findings from 65 peer-reviewed studies published between 2013 and 2020, identified through a systematic search of major academic databases, including Web of Science, ScienceDirect and IEEE Xplore. Using thematic synthesis, the selected studies were analyzed to identify key technological developments, implementation trends, existing research gaps, and future opportunities. The findings indicate that technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), and Big Data analytics are reshaping the tourism industry by enabling personalized services, supporting real-time decision-making, and improving operational efficiency. Despite these advancements, several barriers continue to limit broader adoption, including concerns over data privacy and security, interoperability issues, fragmented digital infrastructures, and digital inequality. The review further highlights current research trends and introduces a conceptual framework to guide future studies and support the development of ethical, inclusive, and sustainable smart tourism ecosystems. Based on the findings, practical recommendations are offered for policymakers, tourism practitioners, and technology developers to ensure that digital transformation initiatives align with environmental sustainability and the evolving expectations of modern travelers. Overall, this review provides a comprehensive foundation for future research while offering a strategic roadmap for developing resilient, socially responsible, and technology-enabled tourism systems.

Smart e-tourism; Digital transformation; Sustainability; Internet of Things (IoT); Artificial Intelligence (AI).

1. Akdu, U. (2020). Smart tourism: Issues, challenges and opportunities. In D. Buhalis (Ed.), The Emerald Handbook of ICT in Tourism and Hospitality (pp. 291–308). Emerald Publishing. [Google Scholar] [Crossref]

2. Basheer, S., Hassan, V., Farooq, S., Ashraf, F., & Reshi, M. A. (2023). Evaluating e-tourism through bibliometrics: Materials and emerging research trends. Journal of Tourismology, 9(2), 135-146. https://dergipark.org.tr/en/pub/iuturizmoloji/issue/83115/1380311 [Google Scholar] [Crossref]

3. Buhalis, D., & Leung, D. (2022). Smart hospitality—Interconnectivity and interoperability towards an ecosystem. International Journal of Hospitality Management, 101, 103117. https://doi.org/10.1016/j.ijhm.2022.103117 [Google Scholar] [Crossref]

4. Chandel, S. S., & Kamble, G. K. E-TOURISM IN INDIA: THE IMPACT OF DIGITAL TRANSFORMATION ON THE TOURISM INDUSTRY. JOURNAL OF ECONOMICS, 17(2024), 184. https://www.researchgate.net/publication/381110095_E-TOURISM_IN_INDIA_THE_IMPACT_OF_DIGITAL_TRANSFORMATION_ON_THE_TOURISM_INDUSTRY [Google Scholar] [Crossref]

5. Cranmer, E. E., Han, H., & Buhalis, D. (2020). Smart technology adoption by international tourists in Malaysia. Journal of Travel Research, 59(7), 1112–1129. https://doi.org/10.1177/0047287519878508 [Google Scholar] [Crossref]

6. El Archi, Y., Benbba, B., Nizamatdinova, Z., Issakov, Y., Vargáné, G. I., & Dávid, L. D. (2023). Systematic literature review analysing smart tourism destinations in context of sustainable development: Current applications and future directions. Sustainability, 15(6), 5086. https://www.mdpi.com/2071-1050/15/6/5086 [Google Scholar] [Crossref]

7. García-Madurga, M. Á., & Grilló-Méndez, A. J. (2023). Artificial Intelligence in the tourism industry: An overview of reviews. Administrative Sciences, 13(8), 172. https://www.mdpi.com/2076-3387/13/8/172 [Google Scholar] [Crossref]

8. Hu, M. Y., Pantano, E., & Stylos, N. (2021). How Does Internet of Things (IOT) affect travel experience?. In Tourism Marketing in Western Europe (pp. 9-25). Wallingford UK: CABI. https://www.cabidigitallibrary.org/doi/abs/10.1079/9781789248753.0001 [Google Scholar] [Crossref]

9. Huang, A., Chao, Y., de la Mora Velasco, E., Bilgihan, A., & Wei, W. (2022). When artificial intelligence meets the hospitality and tourism industry: an assessment framework to inform theory and management. Journal of Hospitality and Tourism Insights, 5(5), 1080-1100. https://www.emerald.com/insight/content/doi/10.1108/jhti-01-2021-0021/full/html [Google Scholar] [Crossref]

10. Jamal, T., & Lee, S. (2020). Ethical issues in tourism. In The SAGE Handbook of Marketing Ethics (pp. 259–274). SAGE. [Google Scholar] [Crossref]

11. Jeong, M., & Shin, H. H. (2020). Tourists’ experiences with smart tourism technology at smart destinations and their behavior intentions. Journal of Travel Research, 59(8), 1464-1477. https://journals.sagepub.com/doi/abs/10.1177/0047287519883034 [Google Scholar] [Crossref]

12. Kaplan, A. M., & Haenlein, M. (2022). Higher education and the digital revolution: About MOOCs, SPOCs, social media, and the Cookie Monster. Business Horizons, 65(1), 9–18. https://doi.org/10.1016/j.bushor.2021.06.001 [Google Scholar] [Crossref]

13. Kononova, O., Prokudin, D., & Tupikina, E. (2020). From e-Tourism to Digital Tourism. A Terminological Review. In SSI (pp. 164-177). https://ceur-ws.org/Vol-2784/rpaper13.pdf [Google Scholar] [Crossref]

14. Lan, F., Huang, Q., Zeng, L., Guan, X., Xing, D., & Cheng, Z. (2021). Tourism experience and construction of personalized smart tourism program under tourist psychology. Frontiers in psychology, 12, 691183. https://doi.org/10.3389/fpsyg.2021.691183 [Google Scholar] [Crossref]

15. Lee, P., Zach, F. J., & Chung, N. (2021). Progress in smart tourism 2010-2017: A systematic literature review. Journal of Smart Tourism, 1(1), 19-30. https://journals.sagepub.com/doi/abs/10.52255/smarttourism.2021.1.1.4 [Google Scholar] [Crossref]

16. Lyu, J., Wang, Y., & Huang, S. (2021). Smart ecotourism: Technologies and practices. Tourism Management Perspectives, 38, 100832. https://doi.org/10.1016/j.tmp.2021.100832 [Google Scholar] [Crossref]

17. Manggopa, H. K., Komansilan, T., Kumajas, S., & Batmetan, J. R. (2022). Augmented reality for geospatial in E-tourism: current status, research trends, and future directions. International Journal of Information Technology and Education, 1(3), 38-55. https://ijite.jredu.id/index.php/ijite/article/view/58 [Google Scholar] [Crossref]

18. Nam, K., Dutt, C. S., Chathoth, P., & Khan, M. S. (2021). Blockchain technology for smart city and smart tourism: latest trends and challenges. Asia Pacific Journal of Tourism Research, 26(4), 454-468. [Google Scholar] [Crossref]

19. Navio-Marco, J., Ruiz-Gomez, L. M., & Sevilla-Sevilla, C. (2021). Progress in Information Technology and Tourism Management: 30 Years on and 20 Years after the Internet—Revisiting Buhalis & Law’s landmark study about eTourism. Tourism Management, 82, 104209. https://doi.org/10.1016/j.tourman.2020.104209 [Google Scholar] [Crossref]

20. Nilashi, M., Samad, S., Ahmadi, H., & Ibrahim, O. (2022). Recommender systems in tourism: A review of the literature and a multi-criteria decision-making model. Journal of Retailing and Consumer Services, 65, 102853. https://doi.org/10.1016/j.jretconser.2021.102853 [Google Scholar] [Crossref]

21. Ordóñez, M. D., Gómez, A., Ruiz, M., Ortells, J. M., Niemi-Hugaerts, H., Juiz, C., ... & Butler, T. A. (2022). IoT technologies and applications in tourism and travel industries. In Internet of Things–The call of the edge (pp. 341-360). River Publishers. https://www.taylorfrancis.com/chapters/oa-edit/10.1201/9781003338611-8/iot-technologies-applications-tourism-travel-industries-dolores-ord%C3%B3%C3%B1ez-andrea-g%C3%B3mez-maurici-ruiz-juan-manuel-ortells-hanna-niemi-hugaerts-carlos-juiz-antonio-jara-tayrne-alexandra-butler [Google Scholar] [Crossref]

22. Pan, B., Lin, M. S., Liang, Y., Akyildiz, A., & Park, S. Y. (2021). Social, ethical, and moral issues in smart tourism development in destinations. Journal of Smart Tourism, 1(1), 9-17. https://journals.sagepub.com/doi/abs/10.52255/smarttourism.2021.1.1.3 [Google Scholar] [Crossref]

23. Pillai, R., & Sivathanu, B. (2020). Adoption of AI-based voice assistants for hospitality and tourism. International Journal of Contemporary Hospitality Management, 32(11), 3467–3489. https://doi.org/10.1108/IJCHM-05-2020-0488 [Google Scholar] [Crossref]

24. Rahmadian, E., Feitosa, D., & Zwitter, A. (2022). A systematic literature review on the use of big data for sustainable tourism. Current Issues in Tourism, 25(11), 1711-1730. https://www.tandfonline.com/doi/full/10.1080/13683500.2021.1974358 [Google Scholar] [Crossref]

25. Samara, D., Magnisalis, I., & Peristeras, V. (2020). Artificial intelligence and big data in tourism: a systematic literature review. Journal of Hospitality and Tourism Technology, 11(2), 343-367. https://www.emerald.com/insight/content/doi/10.1108/jhtt-12-2018-0118/full/html [Google Scholar] [Crossref]

26. Sigala, M. (2022). Tourism and COVID-19: Impacts and implications for advancing and resetting industry and research. Journal of Business Research, 117, 312–321. https://doi.org/10.1016/j.jbusres.2020.06.015 [Google Scholar] [Crossref]

27. Um, T., & Chung, N. (2021). Does smart tourism technology matter? Lessons from three smart tourism cities in South Korea. Asia Pacific Journal of Tourism Research, 26(4), 396-414.https://www.tandfonline.com/doi/abs/10.1080/10941665.2019.1595691 [Google Scholar] [Crossref]

28. Xiang, Z., Du, Q., Ma, Y., & Fan, W. (2021). A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism. Tourism Management, 85, 104309. https://doi.org/10.1016/j.tourman.2021.104309 [Google Scholar] [Crossref]

29. Yang, X., Zhang, L., & Feng, Z. (2024). Personalized tourism recommendations and the E-tourism user experience. Journal of Travel Research, 63(5), 1183-1200. https://journals.sagepub.com/doi/abs/10.1177/00472875231187332 [Google Scholar] [Crossref]

30. Zhao, Y., & Xu, H. (2023). Challenges and prospects of big data analytics in the tourism industry. Tourism Management, 98, 104325. https://doi.org/10.1016/j.tourman.2022.104325 [Google Scholar] [Crossref]

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