NEXT DYNAMICS IN DESIGNING ARTIFICIAL INTELLIGENCE TO SUPPORT TOURISM DEVELOPMENT
DOI:
https://doi.org/10.29121/ijetmr.v11.i6.2024.1465Keywords:
Tourism, Artificial Intelligence, Working Mechanism, AI Application, Augmented Reality & Virtual RealityAbstract
This study advocates for the integration of artificial intelligence (AI) in the tourism industry. It synthesizes literature to comprehensively examine this concept, emphasizing the importance of tourist satisfaction and industry development. The study pursues two main objectives: elucidating AI's workings and analyzing its application in tourism. Employing a descriptive methodology, it gathers secondary data from diverse sources. The findings highlight the potential benefits of AI implementation in policy, strategy, and operational aspects of tourism. Moreover, it underscores the importance of AI education for stakeholders, including institutions, policymakers, and tour management teams, to leverage cutting-edge technologies effectively.
This paper is an endeavour to shed light on the specific ways AI is utilized within the tourism sector, offering insights that can inform industry practices and academic discourse.
This research contributes to the discourse on AI's role in enhancing tourism experiences and industry efficiency, offering insights for future strategies and implementations.
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Afsahhosseini, F., & Mulla, Y. (2020). Machine Learning in Tourism. The 3rd International Conference on Machine Learning and Machine Intelligence, Hangzhou: Association for Computing Machinery, 53-57. https://doi.org/10.1145/3426826.3426837
Alahi, M. E. E., Sukkuea, A., Tina, F. W., Nag, A., Kurdthongmee, W., Suwannarat, K., & Mukhopadhyay, S. C. (2023). Integration of IoT-Enabled Technologies and Artificial Intelligence (AI) for Smart City Scenario: Recent Advancements and Future Trends. Sensors, 23(11). https://doi.org/10.3390/s23115206
Aldoseri, A., Al-Khalifa, K., & Hamouda, A. (2023). Re-Thinking Data Strategy and Integration for Artificial Intelligence: Concepts, Opportunities, and Challenges. Applied Sciences, 13(12). https://doi.org/10.3390/app13127082
Alyasiri, O. M., Selvaraj, K., Younis, H. A., Sahib, T. M., Almasoodi, M. F., & Hayder, I. M. (2024). A Survey on the Potential of Artificial Intelligence Tools in Tourism Information Services. Babylonian Journal of Artificial Intelligence, 1-8. https://doi.org/10.58496/BJAI/2024/001
Asiegbu, F., Igwe, P., & Alex, N. (2012). Physical Evidence and Marketing Performance of Commercial Airlines in Nigeria. American International Journal of Contemporary Research, 2(12), 136-144.
Barten, M. (2024, March 25). Refine. Retrieved From 2024, April 22.
Bassett, A. (2023, June 5). National Geography. Retrieved From 2024, April 23. National Geography.
Basumatary, M., & Sarma, G. (2024). The Use of Artificial Intelligence in Tourism Industry of India: A Critical Insight. Migration Letters, 21, 111-119. https://doi.org/10.59670/ml.v21iS7.8592
Carpio, E. (2023). Overcoming Fear, Uncertainty, and Doubt: Artificial Intelligence (AI) and the Value of Trust. Cureus, 15(9). https://doi.org/10.7759/cureus.45576
Chen, T., Guo, W., Gao, X., & Liang, Z. (2021). AI-Based Self-Service Technology in Public Service Delivery: User Experience and Influencing Factors. Government Information Quarterly, 38(4). https://doi.org/10.1016/j.giq.2020.101520
Chew, A., & Gunasekeran, D. (2021). Social Media Big Data: The Good, The Bad, and the Ugly (Un) Truths. Front Big Data, 4. https://doi.org/10.3389/fdata.2021.623794
Chi, O., Gursoy, D., & Chi, C. (2020). 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. https://doi.org/10.1177/004728752097105
Chi, O., Gursoy, D., & Chi, C. (2020). 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(2). https://doi.org/10.1177/0047287520971054
Collett, C., Neff, G., & Gomes, L. (2022). The Effects of AI on the Working Lives of Women. NA: UNESCO. https://doi.org/10.18235/0004055
Darbinyan, R. (2022, April 13). Data Versity. Retrieved From 2024, April 22. Data Versity.
Delera, A. L. (2021, January). Industrial Analytics Platform. Retrieved From 2024, April 22. Industrial Analytics Platform.
Deranty, J., & Corbin, T. (2024). Artificial Intelligence and Work: A Critical Review of Recent Research from the Social Sciences. AI & Society, 39, 675-691. https://doi.org/10.1007/s00146-022-01496-x
Devang, S. (2023, December 4). Sabre. Retrieved From 2024, April 22. Sabre.
Dhamija, P., & Bag, S. (2020). Role of Artificial Intelligence in Operations Environment: A Review and Bibliometric Analysis. The TQM Journal, 32, 869-896. https://doi.org/10.1108/TQM-10-2019-0243
Dinkoksung, S., Pitakaso, R., Boonmee, C., Srichok, T., Khonjun, S., Jirasirilerd, G., Songkaphet, P., & Nanthasamroeng, N. (2023). A Mobile Solution for Enhancing Tourist Safety in Warm and Humid Destinations. Applied Sciences, 13(15). https://doi.org/10.3390/app13159027
ET. (2023, June 20). Economic Times. Retrieved From 2024, April 23. Economic Times.
Ernst, E., Merola, R., & Samaan, D. (2018). The Economics of Artificial Intelligence: Implications for the Future of Work. Geneva: International Labour Organization. https://doi.org/10.2478/izajolp-2019-0004
García, M., & Grilló, A. (2023). Artificial Intelligence in the Tourism Industry: An Overview of Reviews. Administrative Sciences, 13(8). https://doi.org/10.3390/admsci13080172
Gidumal, J. (2022). Impact of Artificial Intelligence in Travel, Tourism, and Hospitality. In M. F. https://doi.org/10.1007/978-3-030-48652-5_110
Gidumal, J., Secin, E., Connor, P., & Buhalis, D. (2023). Artificial Intelligence's Impact on Hospitality and Tourism Marketing: Exploring Key Themes and Addressing Challenges. Current Issues in Tourism, 1. https://doi.org/10.1080/13683500.2023.2229480
Giner, A., Mazón, A., Molinero, T., & Moraleda, L. (2022). Cultural Tourist and User Experience with Artificial Intelligence: A Holistic Perspective from the Industry 5.0 Approach. Journal of Tourism Futures. https://doi.org/10.1108/JTF-04-2022-0115
Glover, E. (2024, April 2). Built-In. Retrieved From 2024, April 23. Built In Web.
Goodwin, M. (2024, April 9). IBM. Retrieved From 2024, April 22. IBM Web.
Grundner, L., & Neuhofer, B. (2021). The Bright and Dark Sides of Artificial Intelligence: A Future Perspective on Tourist Destination Experiences. Journal of Destination Marketing & Management, 19. https://doi.org/10.1016/j.jdmm.2020.100511
Gupta, S., Modgil, S., Lee, C.-K., & Sivarajah, U. (2023). The Future is Yesterday: Use of AI-Driven Facial Recognition to Enhance Value in the Travel and Tourism Industry. Information Systems Frontiers: A Journal of Research and Innovation, 25(3), 1179–1195. https://doi.org/10.1007/s10796-022-10271-8
Habib, S., Vogel, T., Anli, X., & Thorne, E. (2024). How Does Generative Artificial Intelligence Impact Student Creativity? Journal of Creativity, 34(1). https://doi.org/10.1016/j.yjoc.2023.100072
Haefner, N., Wincent, J., Parida, V., & Gassmann, O. (2021). Artificial Intelligence and Innovation Management: A Review, Framework, and Research Agenda. Technological Forecasting and Social Change, 162. https://doi.org/10.1016/j.techfore.2020.120392
Herrera, A., Arroyo, A., Jiménez, A., & Herrero, Á. (2023). Artificial Intelligence as Catalyst for the Tourism Sector: A Literature Review. Journal of Universal Computer Science, 29(12), 1439-1460. https://doi.org/10.3897/jucs.101550
Hien, N., Su, Y., & Sann, R. L. (2022). Analysis of Online Customer Complaint Behavior in Vietnam's Hotel Industry. Sustainability, 14(7). https://doi.org/10.3390/su14073770
Huang, A., Chao, Y., Velasco, E., Bilgihan, A., & Wei, W. (2021). When Artificial Intelligence Meets the Hospitality and Tourism Industry: An Assessment Framework to Inform Theory and Management. Journal of Hospitality and Tourism Insights. https://doi.org/10.1108/JHTI-01-2021-0021
Indaryanto, A., Harijadi, B., & Sinaga, E. (2023). The Growing Use and Impact of Artificial Intelligence Technologies in the Tourism Industry. Sustainable Engineering and Innovation, 5(2), 189-204. https://doi.org/10.37868/sei.v5i2.id238
Irfan, K., & Muley, K. (2023). Chatbot Adoption in Travel and Tourism Service. International Journal of Creative Research Thoughts, 10(10), 25-34.
Jarrahi, M. H., Askay, D., Eshraghi, A., & Smith, P. (2023). Artificial Intelligence and Knowledge Management: A Partnership Between Human and AI. Business Horizons, 66(1), 87–99. https://doi.org/10.1016/j.bushor.2022.03.002
Jewell, C. (2018, September NA). WIPO Magazine. Retrieved From 2024, April 23. Wipo Magazine.
Kim, H., So, K. K. F., Shin, S., & Li, J. (2024). Artificial Intelligence in Hospitality and Tourism: Insights From Industry Practices, Research Literature, and Expert Opinions. Journal of Hospitality & Tourism Research, 1-46. https://doi.org/10.1177/10963480241229235
Knani, M., Echchakoui, S., & Ladhari, R. (2022). Artificial Intelligence in Tourism and Hospitality: Bibliometric Analysis and Research Agenda. International Journal of Hospitality Management, 107. https://doi.org/10.1016/j.ijhm.2022.103317
Koo, C., Xiang, Z., Gretzel, U., & Sigala, M. (2021). Artificial Intelligence (AI) and Robotics in Travel, Hospitality and Leisure. Electron Markets, 31(3), 473-476. https://doi.org/10.1007/s12525-021-00494-z
Koteshov, D. (2024, April 10). Start-Up Epam. Retrieved From 2024, April 22. Start-Up Epam.
Kozak, M., & Tasci, A. (2006). Intentions and Consequences of Tourist Complaints. Tourism Analysis, 11(4), 231-239. https://doi.org/10.3727/108354206778814682
Kumar, S., Kumar, V., & Attri, K. (2021). Impact of Artificial Intelligence and Service Robots in Tourism and Hospitality Sector: Current Use & Future Trends. Administrative Development ‘A Journal of HIPA, Shimla’, 8(SI-1), 59–83. https://doi.org/10.53338/ADHIPA2021.V08.Si01.04
Lahti, E. (2023, May 9). Orch Idea. Retrieved From 2024, April 23. Orch Idea.
Lavrič, F., & Škraba, A. (2023). Brainstorming Will Never Be the Same Again-A Human Group Supported by Artificial Intelligence. Machine Learning and Knowledge Extraction, 5(4). https://doi.org/10.3390/make5040065
Lu, S., Kwon, J., & Ahn, J. (2021). Self-Service Technology in the Hospitality and Tourism Settings: A Critical Review of the Literature. Journal of Hospitality & Tourism Research, 46(2). https://doi.org/10.1177/1096348020987633
Madurga, M., & Méndez, A. (2023). Artificial Intelligence in the Tourism Industry: An Overview of Reviews. Journals Administrative Sciences, 13(8). https://doi.org/10.3390/admsci13080172
Majid, G., Tussyadiah, I., Kim, Y., & Pal, A. (2023). Intelligent Automation for Sustainable Tourism: A Systematic Review. Journal of Sustainable Tourism, 31(11), 2421-2440. https://doi.org/10.1080/09669582.2023.2246681
McKinsey. (2022, August 17). McKinsey & Company. Retrieved From 2024, April 22. McKinsey & Company.
Mellinas, J., Fuentes, E., & Rosell, B. (2023). Why Some Call the "Worst" What Most Consider the "Best"?: An Analysis of Tourist Complaints at the Wonders of the World. Journal of Hospitality and Tourism Insights. https://doi.org/10.1108/JHTI-03-2023-0150
Miao, L., & Yang, F. (2023). Text-to-Image AI Tools and Tourism Experiences. Annals of Tourism Research, 102. https://doi.org/10.1016/j.annals.2023.103642
Mingotto, E., Montaguti, F., & Tamma, M. (2020). Challenges in Re-Designing Operations and Jobs to Embody AI and Robotics in Services. Findings from a Case in the Hospitality Industry. Electron Markets, 31, 493-510, https://doi.org/10.1007/s12525-020-00439-y
Nayyar, A., Mahapatra, B., Le, D., & Suseendran, G. (2018). Virtual Reality (VR) & Augmented Reality (AR) Technologies for the Tourism and Hospitality Industry. International Journal of Engineering & Technology, 7(21), 156-160. https://doi.org/10.14419/ijet.v7i2.21.11858
Ozkul, E., & Kumlu, S. (2019). Augmented Reality Applications in Tourism. International Journal of Contemporary Tourism Research, 2, 107-122. https://doi.org/10.30625/ijctr.625192
PTI. (2023, May 5). Economic Times. Retrieved From 2024, April 22. Economic Times.
Patel, J., Manetti, M., Mendelsohn, M., Mills, S., Felden, F., Littig, L., & Rocha, M. (2021, April 5). Boston Consulting Group. Retrieved From 2024, April 22. Boston Consulting Group.
Perifanis, F., & Kitsios, N. (2023). Investigating the Influence of Artificial Intelligence on Business Value in the Digital Era of Strategy: A Literature Review. Information, 14(2). https://doi.org/10.3390/info14020085
Pichai, S., & Hassabis, D. (2023, December 6). Google. Retrieved From 2024, April 23.
Rahman, M., & Reza, H. (2022). A Systematic Review Towards Big Data Analytics in Social Media. Big Data Mining and Analytics, 5(3), 228-244. https://doi.org/10.26599/BDMA.2022.9020009
Rahmani, A., Azhir, E., Ali, S., Mohammadi, M., Ahmed, O., Ghafour, M., Ahmed, S., & Hosseinzadeh, M. (2021). Artificial Intelligence Approaches and Mechanisms for Big Data Analytics: A Systematic Study. PeerJ Computer Science, 7. https://doi.org/10.7717/peerj-cs.488
Rane, N., Choudhary, S., & Rane, J. (2023, October 31). SSRN. Retrieved From 2024, April 22. SSRN.
Ray, P. (2023). ChatGPT: A Comprehensive Review of Background, Applications, Key Challenges, Bias, Ethics, Limitations and Future Scope. Internet of Things and Cyber-Physical Systems, 3, 121-154. https://doi.org/10.1016/j.iotcps.2023.04.003
Safaeimanesh, F., Kılıç, H., Alipour, H., & Safaeimanesh, S. (2021). Self-Service Technologies (SSTs)-The Next Frontier in Service Excellence: Implications for Tourism Industry. Sustainability, 13(5). https://doi.org/10.3390/su13052604
Samala, N., Katkam, B. S., Bellamkonda, R. S., & Rodriguez, R. V. (2022). Impact of AI and Robotics in the Tourism Sector: A Critical Insight. Journal of Tourism Future, 8(1), 73-87. https://doi.org/10.1108/JTF-07-2019-0065
Samara, D., Magnisalis, I., & Peristeras, V. (2020). Artificial Intelligence and Big Data in Tourism: A Systematic Literature Review. Journal of Hospitality and Tourism Technology Ahead-of-Print. https://doi.org/10.1108/JHTT-12-2018-0118
Sarker, I. (2022). AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems. SN Computer Science, 3. https://doi.org/10.1007/s42979-022-01043-x
Saxena, S. (2021, May NA). Carec Institute Organization. Retrieved From 2024, April 22. Carec Institute Organization.
Scarpi, D. (2024). Strangers or Friends? Examining Chatbot Adoption in Tourism Through Psychological Ownership. Tourism Management, 102. https://doi.org/10.1016/j.tourman.2023.104873
Schwab, K. (2023, May 31). The Fourth Industrial Revolution. Encyclopedia Britannica. Retrieved From 2024, April 22. The Fourth Industrial Revolution. Encyclopedia Britannica.
Seker, F. (2023). Evolution of Machine Learning in Tourism: A Comprehensive Review of Seminal Research. Journal of Artificial Intelligence and Data Science, 3(2), 54-79.
Shariffuddin, N., Azinuddin, M., Yahya, N., & Hanafiah, M. (2023). Navigating the Tourism Digital Landscape: The Interrelationship of Online Travel Sites' Affordances, Technology Readiness, Online Purchase Intentions, Trust, and E-Loyalty. Heliyon, 9(8). https://doi.org/10.1016/j.heliyon.2023.e19135
Sharma, S., Rawal, Y., & Soni, H., & Batabyal, D. (2023). Technological Impacts of AI on the Hospitality and Tourism Industry. Proceedings of International Conference on Data Science and Applications (pp. 71-78). Singapore: Springer. https://doi.org/10.1007/978-981-19-6631-6_6
Subramaniyan, M., Skoogh, A., Bokrantz, J., Sheikh, M. A., Thürer, M., & Chang, Q. (2021). Artificial Intelligence for Throughput Bottleneck Analysis - State-of-the-Art and Future Directions. Journal of Manufacturing Systems, 60, 734-751. https://doi.org/10.1016/j.jmsy.2021.07.021
Tong, L., Yan, W., & Manta, O. (2022). Artificial Intelligence Influences Intelligent Automation in Tourism: A Mediating Role of Internet of Things and Environmental, Social, and Governance Investment. Frontiers in Environmental Science, 10, 1-15. https://doi.org/10.3389/fenvs.2022.853302
Tussyadiah, I. (2020). A Review of Research into Automation in Tourism: Launching the Annals of Tourism Research Curated Collection on Artificial Intelligence and Robotics in Tourism. Annals of Tourism Research, 81. https://doi.org/10.1016/j.annals.2020.102883
Tymoshchenko, D. (2024, February 16). Acropolis. Retrieved From 2024, April 23. Acropolium.
Ukpabi, D., Aslam, B., & Karjaluoto, H. (2019). Chatbot Adoption in Tourism Services: A Conceptual Exploration. In NA, Robots, Artificial Intelligence, and Service Automation in Travel, Tourism and Hospitality, 105-121. https://doi.org/10.1108/978-1-78756-687-320191006
Verma, S., Warrier, L., Bolia, B., & Mehta, S. (2022). Past, Present, and Future of Virtual Tourism-A Literature Review. International Journal of Information Management Data Insights, 2(2). https://doi.org/10.1016/j.jjimei.2022.100085
WEF. (2016, January 14). World Economic Forum. Retrieved From 2024, April 22. World Economic Forum.
Weed, J. (2023, March 16). The New York Times. Retrieved From 2024, April 23. The New York Times.
Wörndl, W., Koo, C., & Stienmetz, J. (2020). How Artificial Intelligence Will Change the Future of Tourism Industry: The Practice in China. Information and Communication Technologies in Tourism, 83-94. https://doi.org/10.1007/978-3-030-65785-7_7
Xiang, Z. (n.d.). Handbook of E-Tourism. NA: Springer, 1943-1962.
Xu, C. (2018). Research on Data Storage Technology in Cloud Computing Environment. IOP Conference Series Materials Science and Engineering. NA: IOP Publishing, 1-5. https://doi.org/10.1088/1757-899X/394/3/032074
Xu, Y., Liu, X., Cao, X., Huang, C., Liu, E., Qian, S., Liu, X., Wu, Y., Dong, F., Qiu, C., Qiu, J., Hua, K., Su, W., Wu, J., Xu, H., Han, Y., Fu, C., Yin, Z., Liu, M., Roepman, R., Dietmann, S., Virta, M., Kengara, F., Zhang, Z., Zhang, L., Zhao, T., Dai, J., Yang, J., & Lan, L. (2021). Artificial Intelligence: A Powerful Paradigm for Scientific Research. The Innovation, 2(4). https://doi.org/10.1016/j.xinn.2021.100179
Yatchenko, D. (2024, January 30). Pixelplex. Retrieved From 2024, April 23. Pixelplex.
Yusuf, M., Muhammad, N., & Yahaya Suleiman, I. (2020). The Impact of Physical Evidence in Service Delivering as Marketing Tools that Foreseen Profitability for Private Universities in Nigeria. The Journal of Management Theory and Practice, 1(1), 14-18. https://doi.org/10.37231/jmtp.2020.1.1.13
Zhang, L., & Sun, Z. (2019). The Application of Artificial Intelligence Technology in the Tourism Industry of Jinan. Journal of Physics Conference Series. NA: IOP Publishing, 1-5. https://doi.org/10.1088/1742-6596/1302/3/032005
Zimik, S., & Barman, A. (2021). Constructed Environment as Unkempt Issue in North East Indian Tourism: A Review Based Triangulation for Research. International Journal of Multidisciplinary Educational Research, 10(5), 137-153.
Zimik, S., & Barman, A. (2023). Emergence of Constructed Environment Concept for Tourism: A Study Based on Triangulation Review. 10th International Baskent Congress on Humanities and Social Sciences (pp. 381-386). Baskent: Baskent University.
Zimik, S., & Barman, A. (2023). Global Trend and Roles of Constructed Environment in Tourism Development. Ralkjglka, 783-793.
Zimik, S., & Barman, A. (2023). Tourist Destination Innovation: The Role of Constructed and Deconstructed Environments. Mukt Shabd Journal, 12(9), 807-826.
Zimik, S., & Barman, A. (2024). Role of Constructed Environment for Tourism Development: A Global Trend Analysis Based on Triangulated Review. Journal of Business Management and Economic Development, 2(1), 159-190. https://doi.org/10.59653/jbmed.v2i01.382
Zsarnoczky, M. (2017). How Does Artificial Intelligence Affect the Tourism Industry? Vadyba. Journal of Management, 31, 85-90.
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