Original Article
Application of AI Technology for the Development of Destination Tourism towards an Intelligent Information System
Year: 2024 | Month: June | Volume 69 | Issue 2
1.Paul, P.K., Kayyali, M., Das, M., Chatterjee, R. and Saavedra, R. 2023. Artificial Intelligence and Smart Society: Educational Applications, Emergences and Issues-A Scientific Review. International Journal of Applied Science and Engineering, 11(1): 1-14.
View at Google Scholar2.García-Madurga, M.Á. and Grilló-Méndez, A.J. 2023. Artificial Intelligence in the tourism industry: An overview of reviews. Administrative Sciences, 13(8): 172.
View at Google Scholar3.Paul, P.K. 2022. Aspects of Biosensors with Refers to Emerging Implications of Artificial Intelligence, Big Data and Analytics: The Changing Healthcare–A General Review. Next Generation Smart Nano-Bio-Devices, pp. 1-18.
View at Google Scholar4.Paul, P.K. 2022. Cyber Physical Systems, Machine Learning & Deep Learning—Emergence as an Academic Program and Field for Developing Digital Society. Convergence of Deep Learning in Cyber-IoT Systems and Security, pp. 67-83.
View at Google Scholar5.Solakis, K., Katsoni, V., Mahmoud, A.B. and Grigoriou, N. 2022. Factors affecting value co-creation through artificial intelligence in tourism: A general literature review. Journal of Tourism Futures.
View at Google Scholar6.Hashimoto, S. 2022. Technology Application in the Japanese Tourism Industry: Destination Promotion. In Technology Application in Tourism in Asia: Innovations, Theories and Practices (pp. 241-253). Singapore: Springer Nature Singapore.
View at Google Scholar7.Chi, O.H., Gursoy, D. and Chi, C.G. 2022. Tourists’ attitudes toward the use of artificially intelligent (AI) devices in tourism service delivery: moderating role of service value seeking. Journal of Travel Research, 61(1): 170-185.
View at Google Scholar8.Paul, P.K. 2021. AI, ML, & Robotics in iSchools: An Academic Analysis for an Intelligent Societal Systems. Machine Learning Techniques and Analytics for Cloud Security, pp. 417-438.
View at Google Scholar9.Grundner, L. and Neuhofer, B. 2021. The bright and dark sides of artificial intelligence: A futures perspective on tourist destination experiences. Journal of Destination Marketing & Management, 19: 100511.
View at Google Scholar10.Van Nuenen, T. and Scarles, C. 2021. Advancements in technology and digital media in tourism. Tourist Studies, 21(1): 119-132.
View at Google Scholar11.Tuo, Y., Ning, L. and Zhu, A. 2021. How artificial intelligence will change the future of tourism industry: The practice in China. In Information and Communication Technologies in Tourism 2021: Proceedings of the ENTER 2021 eTourism Conference, January 19–22, 2021 (pp. 83-94). Springer International Publishing.
View at Google Scholar12.Koo, C., Xiang, Z., Gretzel, U. and Sigala, M. 2021. Artificial intelligence (AI) and robotics in travel, hospitality and leisure. Electronic Markets, 31: 473-476
View at Google Scholar13.Paul, P.K., Bhimali, A., Aithal, P.S., Kalishankar, T. and Saavedra M.R. 2020. Artificial intelligence & cloud computing in environmental systems-towards healthy & sustainable development. International Journal of Inclusive Development, 6(1): 01-08.
View at Google Scholar14.Buhalis, D. 2020. Technology in tourism-from information communication technologies to e-Tourism and smart tourism towards ambient intelligence tourism: a perspective article. Tourism Review, 75(1): 267-272.
View at Google Scholar15.Samara, D., Magnisalis, I. and Peristeras, V. 2020. Artificial intelligence and big data in tourism: a systematic literature review. Journal of Hospitality and Tourism Technology, 11(2): 343-367.
View at Google Scholar16.Stylos, N. 2020. Technological evolution and tourist decisionmaking: a perspective article. Tourism Review, 75(1): 273-278.
View at Google Scholar17.Duarte, L., Torres, J., Ribeiro, V. and Moreira, I. 2020. Artificial Intelligence Systems applied to tourism: A Survey. arXiv preprint arXiv: 2010.14654.
View at Google Scholar18.Kazandzhieva, V. and Santana, H. 2019. E-tourism: Definition, development and conceptual framework. Tourism: An International Interdisciplinary Journal, 67(4): 332-350.
View at Google Scholar19.Tsaih, R.H. and Hsu, C.C. 2018. Artificial intelligence in smart tourism: A conceptual framework.
View at Google Scholar20.Zsarnoczky, M. 2017. How does artificial intelligence affect the tourism industry?. VADYBA, 31(2): 85-90
View at Google Scholar21.Stalidis, G., Karapistolis, D. and Vafeiadis, A. 2015. Marketing decision support using Artificial Intelligence and Knowledge Modeling: application to tourist destination management. Procedia-Social and Behavioral Sciences, 175: 106-113.
View at Google Scholar



