The dawning of Artificial Intelligence in Tourism: A brief bibliometric analysis and research agenda

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Keywords:

artificial intelligence, tourism, literature review, vosviewer

Abstract

Considering the significant role that intelligence has assumed in society and especially in such industries as tourism, this research paper aims to present the state of art in Artificial Intelligence and tourism research. To do so, a brief bibliometric analysis was developed using the literature published in SCOPUS and, afterwards, an analysis was performed using VOSviewer. This investigation allowed us to understand which are the most cited and influential authors, articles, and journals, as well as the origin of the mentioned research.

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References

AKEHURST, Gary. User generated content: the use of blogs for tourism organisations and tourism consumers. Service Business, [S. l.], v. 3, n. 1, p. 51–61, 2009. DOI: 10.1007/s11628-008-0054-2. Disponível em: http://link.springer.com/10.1007/s11628-008-0054-2. Acesso em: 26 mar. 2023.

ANTHES, Gary. Artificial intelligence poised to ride a new wave. Communications of the ACM, [S. l.], v. 60, n. 7, p. 19–21, 2017. Disponível em: https://dl.acm.org/doi/10.1145/3088342.

BAGGIO, Jacopo A.; BAGGIO, Rodolfo. Modelling and Simulations for Tourism and Hospitality. Bristol: Channel View Publications, 2020.

BRYLSKA, Patrycja; COBANOGLU, Cihan; DOGAN, Seden. Users Versus Non-users: The Impact of Experience on Hotel Guests’ Attitudes Towards Service Robots in Hotels. In: STIENMETZ, Jason L.; FERRER-ROSELL, Berta; MASSIMO, David (org.). Information and Communication Technologies in Tourism 2022. [s.l.] : Springer, 2022. p. 55–66.

BUHALIS, D. Information Communication Technology — Revolutionizing Tourism. In: Tourism Management Dynamics. [s.l.] : Elsevier, 2006. p. 196–209. Disponível em: https://linkinghub.elsevier.com/retrieve/pii/B9780750663786500317

BUHALIS, Dimitrios. Drivers of e-Tourism. In: Handbook of e-Tourism. [s.l: s.n.]. p. 1–17.

BUHALIS, Dimitrios; LEUNG, Daniel; LIN, Michael. Metaverse as a disruptive technology revolutionising tourism management and marketing Author links open overlay panel. Tourism Management, [S. l.], v. 97, 2023.

BUHALIS, Dimitrios; LEUNG, Rosanna. Smart hospitality—Interconnectivity and interoperability towards an ecosystem. International Journal of Hospitality Management, [S. l.], v. 71, p. 41–50, 2018.

BUHALIS, Dimitrios; SINARTA, Yeyen. Real-time co-creation and nowness service: lessons from tourism and hospitality. Journal of Travel and Tourism Marketing, [S. l.], v. 36, n. 5, p. 563–582, 2019.

CHO, Vincent. A comparison of three different approaches to tourist arrival forecasting. Tourism Management, [S. l.], v. 24, n. 3, p. 323–330, 2003.

DE KERVENOAEL, Ronan; HASAN, Rajibul; SCHWOB, Alexandre; GOH, Edwin. Leveraging human-robot interaction in hospitality services: Incorporating the role of perceived value, empathy, and information sharing into visitors’ intentions to use social robots. Tourism Management, [S. l.], v. 78, 2020.

FRANA, Philip L.; KLEIN, Michael J. (ORG.). Encyclopedia of Artificial Intelligence: The past, present and future of AI. Santa Barbara: ABC-Clio, 2021.

GOEL, Pooja; KAUSHIK, Neeraj; SIVATHANU, Brijesh; PILLAI, Rajasshrie; VIKAS, Jasper. Consumers’ adoption of artificial intelligence and robotics in hospitality and tourism sector: literature review and future research agenda. Tourism Review, [S. l.], v. 77, n. 4, p. 1081–1096, 2022.

GOMEZ, Charles J.; HERMAN, Andrew C.; PARIGI, Paolo. Leading countries in global science increasingly receive more citations than other countries doing similar research. Nature Human Behaviour, [S. l.], v. 6, n. 7, p. 919–929, 2022.

HUANG, Han Chen. A study on artificial intelligence forecasting of resort demand. Journal of Theoretical and Applied Information Technology, [S. l.], v. 70, n. 2, p. 265–272, 2014.

IVANOV, Stanislav; GRETZEL, Ulrike; BEREZINA, Katerina; SIGALA, Marianna; WEBSTER, Craig. Progress on robotics in hospitality and tourism: a review of the literature. Journal of Hospitality and Tourism Technology, [S. l.], v. 10, n. 4, p. 489–521, 2019. Disponível em: www.emeraldinsight.com/1757-9880.htm. Acesso em: 6 abr. 2023.

KAZANDZHIEVA, Velina; FILIPOVA, Hristina. Customer attitudes toward robots in travel, tourism and hospitality: A conceptur framework. In: IVANOV, Stanislav; WEBSTER, Craig (org.). Robots, artificial intelligence and service automation in travel, tourism and hospitality. Bingley: Emerald Publishing Limited, 2019.

KOTLER, Philip; BOWEN, John T.; BALOGLU, Seyhmus. Marketing for Hospitality and Tourism. Essex: Pearson Education Limited, 2022.

KOTLER, Philip; KELLER, Kevin Lane; BRADY, Mairead; GOODMAN, Malcom; HANSEN, Torben. Marketing Management. 4. ed. Harlow: Pearson, 2019.

LEUNG, Rosanna. Development of Information and Communication Technology: From e-Tourism to Smart Tourism. In: Handbook of e-Tourism. [s.l: s.n.]. p. 1–33.

LI, Jun (Justin); BONN, Mark A.; YE, Ben Haobin. Hotel employee’s artificial intelligence and robotics awareness and its impact on turnover intention: The moderating roles of perceived organizational support and competitive psychological climate. Tourism Management, [S. l.], v. 73, p. 172–181, 2019.

LOUREIRO, António. There is a fourth industrial revolution: the digital revolution. Worldwide Hospitality and Tourism Themes, [S. l.], v. 10, n. 6, p. 740–744, 2018.

LU, Donna. China overtakes the US in scientific research output. The Guardian, [S. l.], 2022. Disponível em: https://www.theguardian.com/world/2022/aug/11/china-overtakes-the-us-in-scientific-research-output.

LV, Hui; SHI, Si; GURSOY, Dogan. 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 and Management, [S. l.], v. 31, n. 2, p. 145–175, 2022.

LV, Xingyang; LIU, Yue; LUO, Jingjing; LIU, Yuqing; LI, Chunxiao. Does a cute artificial intelligence assistant soften the blow? The impact of cuteness on customer tolerance of assistant service failure. Annals of Tourism Research, [S. l.], v. 87, 2021.

MENEGAKI, Angeliki N.; AGIOMIRGIANAKIS, George M. Sustainable technologies in tourist accommodation: a qualitative review. Progress in Industrial Ecology, An International Journal, [S. l.], v. 13, n. 4, p. 373, 2019. Disponível em: http://www.inderscience.com/link.php?id=102858.

MICH, Luisa. Artificial Intelligence and Machine Learning. In: XIANG, Zheng; FUCHS, Matthias; GRETZEL, Ulrike; HOPKEN, Wolfram (org.). Handbook of e-Tourism. [s.l.] : Springer, 2022.

MOISA, Delia Gabriela; MICHOPOULOU, Eleni. IT and Well-Being in Travel and Tourism. Handbook of e-Tourism, [S. l.], p. 1–27, 2022.

MORRISON, Alastair M.; MAXIM, Cristina. World Toruism Cities: A systematic approch to Urban Tour. Oxon: Routledge, 2022.

NAUMOV, Nikola. The imapct of robots, artificial intelligence, and service automation on service quality and service experiencia in hospitality. In: IVANOV, Stanislav; WEBSTER, Craig (org.). Robots, artificial intelligence and service automation in travel, tourism and hospitality. [s.l.] : Emerald Publishing Limited, 2019.

OLCOTT, Eleanor; COOKSON, Clive; SMITH, Alan. China’s fake science industry: how ‘paper mills’ threaten progress. Financial Times, [S. l.], 2023. Disponível em: https://www.ft.com/content/32440f74-7804-4637-a662-6cdc8f3fba86.

PARNAS, David Lorge. The real risks of artificial intelligence. Communications of the ACM, [S. l.], v. 60, n. 10, p. 27–31, 2017. Disponível em: https://dl.acm.org/doi/10.1145/3132724.

PERIĆ, M.; VITEZIĆ, V. Tourism getting back to life after COVID-19: Can artificial intelligence help? Societies, [S. l.], v. 11, n. 4, 2021.

PIZAM, Abraham et al. Factors affecting hotel managers’ intentions to adopt robotic technologies: A global study. International Journal of Hospitality Management, [S. l.], v. 102, 2022.

PRENTICE, Catherine; DOMINIQUE LOPES, Sergio; WANG, Xuequn. The impact of artificial intelligence and employee service quality on customer satisfaction and loyalty. Journal of Hospitality Marketing and Management, [S. l.], v. 29, n. 7, p. 739–756, 2020.

SHARMA, Kamakshi; JAIN, Mahima; DHIR, Sanjay. 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, [S. l.], v. 17, n. 4, p. 1067–1084, 2022.

SONG, Haiyan; QIU, Richard T. R.; PARK, Jinah. A review of research on tourism demand forecasting: Launching the Annals of Tourism Research Curated Collection on tourism demand forecasting. Annals of Tourism Research, [S. l.], v. 75, p. 338–362, 2019. Disponível em: https://linkinghub.elsevier.com/retrieve/pii/S0160738318301312. Acesso em: 26 mar. 2023.

TEGMARK, Max. Life 3.0 Being Human in the Age of Artificial Intelligence. Toronto: Alfred A. Knopf, 2017.

TUSSYADIAH, Iis. 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, [S. l.], v. 81, p. 102883, 2020.

UKPABI, Dandison C.; ASLAM, Bilal; KARJALUOTO, Heikki. Chatbot Adoption in Tourism Services: A Conceptual Exploration. In: Robots, Artificial Intelligence, and Service Automation in Travel, Tourism and Hospitality. [s.l.] : Emerald Publishing Limited, 2019. p. 105–121. Disponível em: https://www.emerald.com/insight/content/doi/10.1108/978-1-78756-687-320191006/full/html.

VAN ESCH, Patrick; CUI, Yuanyuan (Gina); DAS, Gopal; JAIN, Shailendra Pratap; WIRTZ, Jochen. Tourists and AI: A political ideology perspective. Annals of Tourism Research, [S. l.], v. 97, 2022.

WANG, Peng; SHAO, Jun. Escaping Loneliness Through Tourist-Chatbot Interactions. In: STIENMETZ, Jason L.; FERRER-ROSELL, Berta; MASSIMO, David (org.). Information and Communication Technologies in Tourism 2022. [s.l.] : Springer, 2022. p. 473–485.

ZENG, Benxiang; GERRITSEN, Rolf. What do we know about social media in tourism? A review. Tourism Management Perspectives, [S. l.], v. 10, p. 27–36, 2014. Disponível em: http://dx.doi.org/10.1016/j.tmp.2014.01.001.

ZENG, Zhanjing; CHEN, P. J. Po Ju; LEW, Alan A. From high-touch to high-tech: COVID-19 drives robotics adoption. Tourism Geographies, [S. l.], v. 22, n. 3, p. 724–734, 2020.

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Published

05-06-2024

How to Cite

SÁ, V. The dawning of Artificial Intelligence in Tourism: A brief bibliometric analysis and research agenda. Turismo, Sociedade & Território, [S. l.], v. 6, n. 1, 2024. Disponível em: https://periodicos.ufrn.br/revtursoter/article/view/32751. Acesso em: 21 nov. 2024.

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