Journals / Advances in Hospitality and Tourism Research (AHTR) / 2021 / Cilt: 9 - Sayı: 1

Artificial Intelligence in Tourism: A Review and Bibliometrics Research

Pages
205–233
Publication Date
2022-10-11
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Findings indicate that there is a progressive interest in AI after 2017, and average citations signify that papers are highly cited.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Artificial Intelligence (AI) came up as an ambiguous concept from computer sciences and now it is being used in many areas of our life.
📊
Key Findings & Data:A total of 102 papers were collected from Scopus database.
💡
Conclusion & Impact:Findings indicate that there is a progressive interest in AI after 2017, and average citations signify that papers are highly cited.
🔬Design:Research Article
📍Scope:2017 Verileri
⚙️Variables:Domain Parameters

Abstract

Artificial Intelligence (AI) came up as an ambiguous concept from computer sciences and now it is being used in many areas of our life. It has stimulated academia’s interest due to its alternative insights into complex problems. Therefore, a bibliometric method was applied in this study to observe the progress of AI in the tourism field. A total of 102 papers were collected from Scopus database. Key factors such as most productive authors, collaborations and institutions were identified, and research hotspots were determined using co-occurrence network and most common author keywords. Progress of AI was visualized with thematic evolution analysis. Findings indicate that there is a progressive interest in AI after 2017, and average citations signify that papers are highly cited. Since this is the first study conducting a bibliometric on AI in the tourism context, it could be considered useful for academics and tourism professionals as it provides general overview of AI, demonstrates research trends and popular papers.

🔖

Cite This Article

AŞKUN, V., KIRTIL, İ. G. (2022). Artificial Intelligence in Tourism: A Review and Bibliometrics Research. Advances in Hospitality and Tourism Research (AHTR), Cilt: 9 - Sayı: 1, 205–233. https://ajindex.com/articles/429412

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (12)

  1. Ajiferuke, I., Burell, Q., & Tague, J. (1988). Collaborative coefficient: A single measure of the degree of collaboration in research. Scientometrics, 14(5–6), 421–433.
  2. Akehurst, G. (2009). User generated content: The use of blogs for tourism organisations and tourism consumers. Service Business, 3(1), 51–61. https://doi.org/10.1007/s11628-008-0054-2
  3. Andreu, L., Bigne, E., Amaro, S., & Palomo, J. (2020). Airbnb research: an analysis in tourism and hospitality journals. International Journal of Culture, Tourism, and Hospitality Research, 14(1), 2–20. https://doi.org/10.1108/IJCTHR-06-2019-0113
  4. Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. https://doi.org/10.1016/j.joi.2017.08.007
  5. Askun, V., & Cizel, R. (2019). Kompleks problem çözme üzerine R programı ile bir bibliyometrik analiz. Mediterranean Journal of Humanities, 9(1), 37–47. https://doi.org/10.13114/mjh.2019.445
  6. Askun, V., & Cizel, R. (2020). Twenty years of research on mixed methods. Journal of Mixed Methods Research, 1(1), 28–43. https://doi.org/10.14689/jomes.2020.1.2
  7. Barrios, M., Borrego, A., Vilaginés, A., Ollé, C., & Somoza, M. (2008). A bibliometric study of psychological research on tourism. Scientometrics, 77(3), 453–467. https://doi.org/10.1007/s11192-007-1952-0
  8. Benckendorff, P. (2009). Themes and trends in Australian and New Zealand tourism research: A social network analysis of citations in two leading journals (1994-2007). Journal of Hospitality and Tourism Management, 16(1), 1–15. https://doi.org/10.1375/jhtm.16.1.1
  9. Benckendorff, P., & Zehrer, A. (2013). A network analysis of tourism research. Annals of Tourism Research, 43, 121–149. https://doi.org/10.1016/j.annals.2013.04.005
  10. Börner, K., Chen, C., & Boyack, K. W. (2005). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37, 179–255. https://doi.org/10.1002/aris.1440370106 Borràs, J., Moreno, A., & Valls, A. (2014). Intelligent tourism recommender systems: A survey. Expert Systems with Applications, 41, 7370–7389. https://doi.org/10.1016/j.eswa.2014.06.007
  11. Bowen, J., & Whalen, E. (2017). Trends that are changing travel and tourism. Worldwide Hospitality and Tourism Themes, 9(6), 592–602. https://doi.org/10.1108/WHATT-09-2017-0045
  12. Buhalis, D. (2003). eTourism: Information technology for strategic tourism management. London: Pearson Education. Buhalis, D., Harwood, T., Bogicevic, V., Viglia, G., Beldona, S., &