INTELIGENCIA ARTIFICIAL EN EL TURISMO ¿HACIA DÓNDE SE DIRIGE LA INVESTIGACIÓN? UNA REVISIÓN DE LITERATURA
DOI :
https://doi.org/10.37135/kai.03.16.09Mots-clés :
Inteligencia artificial, Turismo, Investigación, Análisis bibliométricoRésumé
Se analiza la tendencia temática de la literatura científica sobre inteligencia artificial en el turismo, con el fin de identificar futuras líneas de investigación. Para ello, se llevó a cabo una revisión sistemática de la literatura. De 2,635 documentos identificados en Scopus, se incluyen 86 artículos publicados entre 2020 y 2024. Los resultados evidencian una tendencia hacia la adopción tecnológica, la personalización de los servicios, la sostenibilidad y la predicción del comportamiento turístico. Se concluye que la inteligencia artificial está redefiniendo el panorama del sector turístico al mejorar la gestión de los destinos y la experiencia de los turistas. No obstante, cada vez más se la concibe como una herramienta para hacer frente a los desafíos de la sostenibilidad.
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Références
Abed, S. S. (2024). Acceptance and use of artificial intelligence in online tourism services by generation Z in Saudi Arabia. IEEE Access, 12, 164533-164542. https://doi.org/10.1109/access.2024.3492001
Al-Shehhi, M., Karathanasopoulos, A., Osman, M., & Tabche, I. (2024). Comparative analysis of conventional and artificial intelligence forecasting models for international tourist arrivals in three metropolitan hubs. Journal for International Business and Entrepreneurship Development, 16(3), 349-375. https://doi.org/10.1504/jibed.2024.142489
Aliyah, N., Lukita, C., Pangilinan, G. A., Chakim, M. H. R., & Saputra, D. B. (2023). Examining the impact of artificial intelligence and internet of things on smart tourism destinations: A comprehensive study. Aptisi Transactions on Technopreneurship, 5(2), 135-145. https://doi.org/10.34306/att.v5i2sp.332
Benaddi, L., Ouaddi, C., Jakimi, A., & Ouchao, B. (2024). A systematic review of chatbots: Classification, development, and their impact on tourism. IEEE Access, 12, 78799-78810. https://doi.org/10.1109/access.2024.3408108
Buitrago-Esquinas, E. M., Yñiguez-Ovando, R., Puig-Cabrera, M., Santos, M. C., & Santos, J. A. C. (2024). Artificial intelligence and sustainable tourism planning: A hetero-intelligence methodology proposal. Tourism & Management Studies, 20(SI), 45-59. https://doi.org/10.18089/tms.2024SI04
Camacho-Ruiz, M., Carrasco, R. A., Fernández-Avilés, G., & LaTorre, A. (2023). Tourism destination events classifier based on artificial intelligence techniques. Applied Soft Computing, 148, 110914. https://doi.org/10.1016/j.asoc.2023.110914
Carvalho, I., & Ivanov, S. (2024). ChatGPT for tourism: Applications, benefits and risks. Tourism Review, 79(2), 290-303. https://doi.org/10.1108/tr-02-2023-0088
Chen, B., & Sun, Z. (2024). Artificial intelligence’s role in utilizing tv dramas and movies as catalysts for the development of cultural tourism in rural ethnic areas. Computer-Aided Design and Applications, 21(S20), 232-251. https://doi.org/10.14733/cadaps.2024.s20.232-251
Chen, C., & Wei, Z. (2024). Role of artificial intelligence in travel decision making and tourism product selling. Asia Pacific Journal of Tourism Research, 29(3), 239-253. https://doi.org/10.1080/10941665.2024.2317390
Cheng, L. (2024). Research on development and protection of cultural heritage tourism resources in the age of artificial intelligence. Applied Mathematics and Nonlinear Sciences, 9(1), 1-15. https://doi.org/10.2478/amns.2023.2.01554
Choe, J. Y., Opoku, E. K., Cuervo, J. C., & Adongo, R. (2024). Investigating potential tourists’ attitudes toward artificial intelligence services: A market segmentation approach. Journal of Hospitality and Tourism Insights, 7(4), 2237-2255. https://doi.org/10.1108/jhti-04-2023-0231
Choi, Y., & Kim, D. (2024). Artificial intelligence in the tourism industry: Current trends and future outlook. International Journal on Advanced Science Engineering and Information Technology, 14(6), 1889-1895. https://doi.org/10.18517/ijaseit.14.6.20452
Correa, P., Valencia, A., Garcés, L. F., Rodríguez, L., López, G., & Benjumea, M. (2023). Tendencias en el uso de inteligencia artificial en el sector del turismo. Revista Turismo & Desenvolvimento, 40, 81-92. https://doi.org/10.34624/rtd.v40i0.31447
Dai, H., Lee, S., & Chong, K. M. (2024). An artificial intelligence prediction approach for behavioral intentions of health tourism: A protection motivation theory-based perspective. Applied Mathematics and Nonlinear Sciences, 9(1), 1-19. https://doi.org/10.2478/amns-2024-2747
Doborjeh, Z., Hemmington, N., Doborjeh, M., & Kasabov, N. (2022). Artificial intelligence: A systematic review of methods and applications in hospitality and tourism. International Journal of Contemporary Hospitality Management, 34(3), 1154-1176. https://doi.org/10.1108/ijchm-06-2021-0767
Dos Santos, V. S., De Sousa, S. J. A., Santos, L. M. L., Filho, L. A. M. M., De Santana Porte, M., Da Silva Taveira, M., & De Oliveira Alexandre, M. L. (2024). Inteligência artificial nos estudos e pesquisas em turismo no Brasil. Revista Brasileira de Pesquisa em Turismo, 18, 2896. https://doi.org/10.7784/rbtur.v18.2896
Duan, J. (2024). Identification and influence of tourism consumption behavior based on artificial intelligence. Informatica, 48(15), 135-150. https://doi.org/10.31449/inf.v48i15.6203
Essien, A., & Chukwukelu, G. (2022). Deep learning in hospitality and tourism: A research framework agenda for future research. International Journal of Contemporary Hospitality Management, 34(12), 4480-4515. https://doi.org/10.1108/ijchm-09-2021-1176
Filieri, R., D’Amico, E., Destefanis, A., Paolucci, E., & Raguseo, E. (2021). Artificial intelligence (AI) for tourism: An European-based study on successful AI tourism start-ups. International Journal of Contemporary Hospitality Management, 33(11), 4099-4125. https://doi.org/10.1108/ijchm-02-2021-0220
Florido-Benítez, L. (2024). Generative artificial intelligence: a proactive and creative tool to achieve hyper-segmentation and hyper-personalization in the tourism industry. International Journal of Tourism Cities. https://doi.org/10.1108/ijtc-05-2024-0111
Florido-Benítez, L., & Del Alcázar, B. (2024). How artificial intelligence (AI) is powering new tourism marketing and the future agenda for smart tourist destinations. Electronics, 13(21), 4151. https://doi.org/10.3390/electronics13214151
Fouad, A. M., Salem, I. E., & Fathy, E. A. (2024). Generative AI insights in tourism and hospitality: A comprehensive review and strategic research roadmap. Tourism and Hospitality Research. https://doi.org/10.1177/14673584241293125
Gan, L. (2024). Rural tourism incorporating artificial intelligence technology to help modernize rural revitalization. Applied Mathematics and Nonlinear Sciences, 9(1), 1-19. https://doi.org/10.2478/amns.2023.2.01379
Gao, R., & Wang, Y. (2024). Collaborative supervision strategies for risk issues of generative artificial intelligence in the tourism industry. Technology Analysis and Strategic Management, 1-19. https://doi.org/10.1080/09537325.2024.2434479
García-Madurga, M., & Grilló-Méndez, A. (2023). Artificial Intelligence in the tourism industry: An overview of reviews. Administrative Sciences, 13(8), 172. https://doi.org/10.3390/admsci13080172
Ghesh, N., Alexander, M., & Davis, A. (2024). The artificial intelligence-enabled customer experience in tourism: A systematic literature review. Tourism Review, 79(5), 1017-1037. https://doi.org/10.1108/tr-04-2023-0255
Goel, P., Kaushik, N., Sivathanu, B., Pillai, R., & Vikas, J. (2022). Consumers’ adoption of artificial intelligence and robotics in hospitality and tourism sector: Literature review and future research agenda. Tourism Review, 77(4), 1081-1096. https://doi.org/10.1108/tr-03-2021-0138
Grundner, L., & 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. https://doi.org/10.1016/j.jdmm.2020.100511
Hamarat, H., Sahin, H., Apuhan, A. K., & İnan, R. (2024). The dark side of artificial intelligence: threats to tourism workers. Worldwide Hospitality and Tourism Themes, 16(2), 127-137. https://doi.org/10.1108/whatt-03-2024-0061
Hartatik, H., Isnanto, R. R., & Warsito, B. (2024). Applied data science and artificial intelligence for tourism and hospitality industry in society 5.0: A review. Journal of Applied Data Sciences, 5(4), 1566-1578. https://doi.org/10.47738/jads.v5i4.300
Hermosa, P. M., & Arco, M. L. (2024). Inteligencia artificial (IA) en turismo sostenible: Análisis bibliométrico. Cuadernos de Turismo, 53, 157-185. https://doi.org/10.6018/turismo.616431
Herrera, A., Arroyo, Á., Jiménez, A., & Herrero, Á. (2023). Artificial intelligence as catalyst for the tourism sector: A literature review. JUCS - Journal of Universal Computer Science, 29(12), 1439-1460. https://doi.org/10.3897/jucs.101550
Hou, N. (2024). Research on the application of virtual reality technology in the cultural exchange of tourist attractions under the background of artificial intelligence. International Journal of Information Systems and Supply Chain Management, 17(1), 1-19. https://doi.org/10.4018/ijisscm.341801
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://doi.org/10.1108/jhti-01-2021-0021
Indaryanto, A., Harijadi, B. D., & 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
Jabeen, F., Zaidi, S. A., & Dhaheri, M. H. A. (2022). Automation and artificial intelligence in hospitality and tourism. Tourism Review, 77(4), 1043-1061. https://doi.org/10.1108/tr-09-2019-0360
Jaelani, A. K., Luthviati, R. D., Siboy, A., Fatih, S. A., & Hayat, M. J. (2024). Artificial intelligence policy in promoting Indonesian tourism. Volksgeist Jurnal Ilmu Hukum Dan Konstitusi, 109-137. https://doi.org/10.24090/volksgeist.v7i1.10623
Jiang, G., Gao, W., Xu, M., Tong, M., & Liu, Z. (2023). Geographic information visualization and sustainable development of low-carbon rural slow tourism under artificial intelligence. Sustainability, 15(4), 3846. https://doi.org/10.3390/su15043846
Kashem, M. A., Shamsuddoha, M., Nasir, T., & Chowdhury, A. A. (2023). The role of artificial intelligence and blockchain technologies in sustainable tourism in the Middle East. Worldwide Hospitality and Tourism Themes, 15(2), 178-191. https://doi.org/10.1108/whatt-10-2022-0116
Khan, N. A. (2024). Artificial intelligence, self-efficacy and engagement in religious tourism: Evidence from Arbaeen pilgrimage. Journal of Hospitality And tourism Insights, 7(3), 1660-1678. https://doi.org/10.1108/jhti-10-2023-0725
Kim, M. J., Hall, C. M., Chung, N., Kim, M., & Sohn, K. (2023). Why do tourists use public transport in Korea? The roles of artificial intelligence knowledge, environmental, social, and governance, and sustainability. Asia Pacific Journal of Tourism Research, 28(5), 467-484. https://doi.org/10.1080/10941665.2023.2247099
Kirtil, İ. G., & Aşkun, V. (2021). Artificial intelligence in tourism: A review and bibliometrics research. Advances in Hospitality and Tourism Research (AHTR), 9(1), 205-233. https://doi.org/10.30519/ahtr.801690
Knani, M., Echchakoui, S., & Ladhari, R. (2022). Artificial intelligence in tourism and hospitality: Bibliometric analysis and research agenda. International Journal of Hospitality Management, 107, 103317. https://doi.org/10.1016/j.ijhm.2022.103317
Kong, H., Wang, K., Qiu, X., Cheung, C., & Bu, N. (2023). 30 years of artificial intelligence (AI) research relating to the hospitality and tourism industry. International Journal of Contemporary Hospitality Management, 35(6), 2157-2177. https://doi.org/10.1108/ijchm-03-2022-0354
Ku, E. C., & Chen, C. (2024). Artificial intelligence innovation of tourism businesses: From satisfied tourists to continued service usage intention. International Journal of Information Management, 76, 102757. https://doi.org/10.1016/j.ijinfomgt.2024.102757
Kumpulainen, M., & Seppänen, M. (2022). Combining Web of Science and Scopus datasets in citation-based literature study. Scientometrics, 127, 5613-5631. https://doi.org/10.1007/s11192-022-04475-7
Li, D., Du, P., & He, H. (2022). Artificial intelligence-based sustainable development of smart heritage tourism. Wireless Communications and Mobile Computing, 2022, 1-13. https://doi.org/10.1155/2022/5441170
Li, M., Yin, D., Qiu, H., & Bai, B. (2021). A systematic review of AI technology-based service encounters: Implications for hospitality and tourism operations. International Journal of Hospitality Management, 95, 102930. https://doi.org/10.1016/j.ijhm.2021.102930
Li, Q., & Zhang, Y. (2022). Design and implementation of smart tourism service platform from the perspective of artificial intelligence. Wireless Communications and Mobile Computing, 3501003. https://doi.org/10.1155/2022/3501003
Louati, A., Louati, H., Alharbi, M., Kariri, E., Khawaji, T., Almubaddil, Y., & Aldwsary, S. (2024). Machine learning and artificial intelligence for a sustainable tourism: A case study on Saudi Arabia. Information, 15(9), 516. https://doi.org/10.3390/info15090516
Loureiro, S. M. C., Guerreiro, J., Friedmann, E., Lee, M. J., & Han, H. (2024). Tourists and artificial intelligence-LLM interaction: The power of forgiveness. Current Issues in Tourism, 1-19. https://doi.org/10.1080/13683500.2024.2353872
Luo, Z. (2024). Research on the management of ecological agricultural characteristic tourism development based on artificial intelligence technology. Applied Mathematics and Nonlinear Sciences, 9(1),1-13. https://doi.org/10.2478/amns-2024-0306
Lv, H., Shi, S., & Gursoy, D. (2022). A look back and a leap forward: A review and synthesis of big data and artificial intelligence literature in hospitality and tourism. Journal of Hospitality Marketing & Management, 31(2), 145-175. https://doi.org/10.1080/19368623.2021.1937434
Ma, X. (2024). An innovative model for the intersection of big data and artificial intelligence in tourism for consumer behavior analysis. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-2451
Manzoor, S. R., Ullah, R., Khattak, A., Ullah, M., & Han, H. (2024). Exploring tourist perceptions of artificial intelligence devices in the hotel industry: Impact of industry 4.0. Journal of Travel & Tourism Marketing, 41(2), 272-291. https://doi.org/10.1080/10548408.2024.2310169
Mariani, M., & Wirtz, J. (2023). A critical reflection on analytics and artificial intelligence based analytics in hospitality and tourism management research. International Journal of Contemporary Hospitality Management, 35(8), 2929-2943. https://doi.org/10.1108/ijchm-08-2022-1006
Marozzo, V., Schifilliti, V., & Abbate, T. (2024). Artificial intelligence and generation z: evidence from tourism and hospitality. Micro & Macro Marketing, (1), 61-188, https://doi.org/10.1431/108161
Mishra, V., & Mishra, M. P. (2023). PRISMA for Review of Management Literature – Method, Merits, and Limitations – An Academic Review. In S. Rana, J. Singh and S. Kathuria (Eds.), Advancing Methodologies of Conducting Literature Review in Management Domain (pp. 125-136). Emerald Publishing Limited. https://doi.org/10.1108/s2754-586520230000002007
Orea-Giner, A., Muñoz-Mazón, A., Villacé-Molinero, T., & Fuentes-Moraleda, L. (2022). Cultural tourist and user experience with artificial intelligence: A holistic perspective from the industry 5.0 approach. Journal of Tourism Futures, 9(1),1-15). https://doi.org/10.1108/jtf-04-2022-0115
Öztürk, T., Kahriman, E. A., & Tanriverdi, V. (2024). Sustainable solutions for overcoming challenges in the tourism sector: Integrating artificial intelligence and blockchain for environmental and energy efficiency. International Journal of Global Warming, 34(1), 85-94. https://doi.org/10.1504/ijgw.2024.141408
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., . . . Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. International Journal of Surgery, 88, 105906. https://doi.org/10.1016/j.ijsu.2021.105906
Pan, H., Wei, T., & Li, L. (2024). A strategy study based on artificial intelligence data analysis of rural governance into tourism industry development research. Applied Mathematics and Nonlinear Sciences, 9(1),1-15. https://doi.org/10.2478/amns.2023.2.00212
Paré G., Trudel M.-C., Jaana M., & Kitsiou S. (2015). Synthesizing information systems knowledge: A typology of literature reviews. Information & Management, 52(2),183–199. https://doi.org/10.1016/j.im.2014.08.008
Perić, M., & Vitezić, V. (2021). Tourism getting back to life after COVID-19: Can artificial intelligence help? Societies, 11(4), 115. https://doi.org/10.3390/soc11040115
Petersen K., Vakkalanka S., & Kuzniarz L. (2015). Guidelines for conducting systematic mapping studies in software engineering: An update. Information and Software Technology, 64,1–18. https://doi.org/10.1016/j.infsof.2015.03.007
Ping, M. Y., & Omar, S. I. (2024). Using artificial intelligence algorithms and computer image processing technology to improve environmental monitoring and protection methods in tourist destinations. Australian Journal of Electrical & Electronics Engineering, 1-11. https://doi.org/10.1080/1448837x.2024.2421043
Rai, P., & Rai, S. (2021). Text refinement powered by artificial intelligence for tourism. Wireless Personal Communications, 120(2), 1193-1205. https://doi.org/10.1007/s11277-021-08510-3
Samala, N., Katkam, B. S., Bellamkonda, R. S., & Rodriguez, R. V. (2020). Impact of AI and robotics in the tourism sector: A critical insight. Journal of Tourism Futures, 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, 11(2), 343-367. https://doi.org/10.1108/jhtt-12-2018-0118
Saputra, F. E., Buhalis, D., Augustyn, M. M., & Marangos, S. (2024). Anthropomorphism-based artificial intelligence (AI) robots typology in hospitality and tourism. Journal of Hospitality and Tourism Technology, 15(5), 790-807. https://doi.org/10.1108/jhtt-03-2024-0171
Sarkis-Onofre, R., Catalá-López, F., Aromataris, E., & Lockwood, C. (2021). How to properly use the PRISMA Statement. Systematic Reviews, 10, 117. https://doi.org/10.1186/s13643-021-01671-z
Şeker, F. (2024). Combining the power of artificial intelligence and mathematical modelling: A hybrid technique for enhanced forecast of tourism receipts. European Journal of Tourism Research, 36, 3614. https://doi.org/10.54055/ejtr.v36i.3246
Şengel, Ü., & Işkın, M. (2024). Intellectual structure on artificial intelligence studies in tourism and hospitality: A bibliometric analysis. Worldwide Hospitality and Tourism Themes, 16(2), 202-215. https://doi.org/10.1108/whatt-03-2024-0070
Shah-Alam, S., Ahsan, M. N., Masukujjaman, M., Kokash, H. A., & Ahmed, S. (2024). Adoption of big data analytics and artificial intelligence among hospitality and tourism companies: Perceive performance perspective. Journal of Quality Assurance in Hospitality & Tourism, 1-35. https://doi.org/10.1080/1528008x.2024.2442674
Sharma, K., Jain, M., & Dhir, S. (2022). Analysing the impact of artificial intelligence on the competitiveness of tourism firms: a modified total interpretive structural modeling (m-TISM) approach. International Journal of Emerging Markets, 17(4), 1067-1084. https://doi.org/10.1108/ijoem-05-2021-0810
Shin, H., Ryu, J., & Jo, Y. (2025). Navigating artificial intelligence adoption in hospitality and tourism: Managerial insights, workforce transformation, and a future research agenda. International Journal of Hospitality Management, 128, 104187. https://doi.org/10.1016/j.ijhm.2025.104187
Singh, V. K., Singh, P., Karmakar, M., Leta, J., & Mayr, P. (2021). The journal coverage of Web of Science, Scopus and Dimensions: A comparative analysis. Scientometrics, 126, 5113–5142. https://doi.org/10.1007/s11192-021-03948-5
Solakis, K., Katsoni, V., Mahmoud, A. B., & Grigoriou, N. (2024). Factors affecting value co-creation through artificial intelligence in tourism: A general literature review. Journal of Tourism Futures, 10(1), 116-130. https://doi.org/10.1108/jtf-06-2021-0157
Song, Y., & He, Y. (2023). Toward an intelligent tourism recommendation system based on artificial intelligence and IoT using apriori algorithm. Soft Computing, 27(24), 19159-19177. https://doi.org/10.1007/s00500-023-09330-2
Sousa, A. E., Cardoso, P., & Dias, F. (2024). The use of artificial intelligence systems in tourism and hospitality: The tourists’ perspective. Administrative Sciences, 14(8), 165. https://doi.org/10.3390/admsci14080165
Topsakal, Y., & Çuhadar, M. (2024). Usage intention of tourists regarding the acceptance of artificial intelligence enhanced tour guides apps. Current Issues in Tourism, 1-17. https://doi.org/10.1080/13683500.2024.2375361
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, 102883. https://doi.org/10.1016/j.annals.2020.102883
Ülkü, A. (2023). Artificial intelligence-based large language models and integrity of exams and assignments in higher education: the case of tourism courses. Tourism & Management Studies, 21-34. https://doi.org/10.18089/tms.2023.190402
Valencia, A., Londoño, W., Garcés, L. F., Arboleda, A., Rodriguez, P. A., Agudelo, E., & Teodori, R. (2024). Tendencias investigativas en el uso de la inteligencia artificial en el turismo. RISTI: Revista Ibérica de Sistemas e Tecnologias de Informação, (69) 560-572. https://www.risti.xyz/issues/ristie69.pdf
Vargas, E. E., & Delgado, A. (2023). Big Data in Hotel Companies: Systematic Literature Review. In J. Marques and R. P. Marques (Eds.). Digital Transformation of the Hotel Industry: Theories, Practices, and Global Challenges (pp.111-133). Springer. https://doi.org/10.1007/978-3-031-31682-1_6
Wang, Y., & Uysal, M. (2024). Artificial intelligence-assisted mindfulness in tourism, hospitality, and events. International Journal of Contemporary Hospitality Management, 36(4), 1262-1278. https://doi.org/10.1108/ijchm-11-2022-1444
Xie, D., & He, Y. (2022). Marketing strategy of rural tourism based on big data and artificial intelligence. Mobile Information Systems, 2022, 954351. https://doi.org/10.1155/2022/9154351
Yang, J., & Chew, E. (2021). A systematic review for service humanoid robotics model in hospitality. International Journal of Social Robotics, 13(6), 1397-1410. https://doi.org/10.1007/s12369-020-00724-y
Yu, H. (2024). Application of the artificial intelligence system based on graphics and vision in ethnic tourism of subtropical grasslands. Heliyon, 10(11), e31442. https://doi.org/10.1016/j.heliyon.2024.e31442
Zhang, R. (2021). Exploration of social benefits for tourism performing arts industrialization in culture–tourism integration based on deep learning and artificial intelligence technology. Frontiers in Psychology, 12, 592925. https://doi.org/10.3389/fpsyg.2021.592925
Zhang, Y. (2024). Research on artificial intelligence-assisted leisure hotel and tourism industry sustainable development strategy. Applied Mathematics and Nonlinear Sciences, 9(1), 1-15. https://doi.org/10.2478/amns-2024-2845
Zheng, S., & Zhang, Z. (2023). Adaptive tourism forecasting using hybrid artificial intelligence model: A case study of Xi’an international tourist arrivals. PeerJ Computer Science, 9, e1573. https://doi.org/10.7717/peerj-cs.1573
Zhou, S. (2024). The use of rural cultural tourism product development strategy based on artificial intelligence technology. Applied Mathematics and Nonlinear Sciences, 9(1), 1-15. https://doi.org/10.2478/amns.2023.2.01254
Zhu, S., Song, M., & Duan, Y. (2024). Emotional arousal: How artificial intelligence-generated content influences tourism decision-making. Tourism Recreation Research, 1-12. https://doi.org/10.1080/02508281.2024.2439321
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- Los autores conservan los derechos de autor y garantizan a la revista el derecho de ser la primera publicación del trabajo al igual que licenciado bajo una licencia de Creative Commons Reconocimiento CC BY-NC-ND.
- Los autores pueden establecer por separado acuerdos adicionales para la distribución no exclusiva de la versión de la obra publicada en la revista (por ejemplo, situarlo en un repositorio institucional o publicarlo en un libro), con un reconocimiento de su publicación inicial en esta revista.
- Se permite y se anima a los autores a difundir sus trabajos electrónicamente (por ejemplo, en repositorios institucionales o en su propio sitio web) después de su publicación, ya que puede dar lugar a intercambios productivos, así como a una citación más temprana y mayor de los trabajos publicados (Véase The Effect of Open Access) (en inglés).
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