EWOM IN THE TOURISM AND HOSPITALITY INDUSTRY: A BIBLIOMETRIC ANALYSIS USING CITESPACE

Tóm tắt

A thorough literature review is essential for systematizing and evaluating prior studies, as it helps identify knowledge gaps and guide future research directions. This study employs the CiteSpace scientometric analysis tool to comprehensively assess the academic works on eWOM in the tourism and hospitality industry. The bibliometric analysis, based on 932 articles indexed in the Web of Science Core Collection and Scopus from 2000 to September 2024, reveals that eWOM profoundly impacts activities within the tourism and hospitality sectors. Four major research themes are identified, including studies on the role and relationship of eWOM with tourists' decision-making, eWOM and sustainable tourism, eWOM, and new technological applications in the tourism and hospitality industries. Additionally, the study suggests future research directions, emphasizing the need to explore further the impact of emerging technologies, social media platforms, and consumer psychology on behavior in the tourism and hospitality sectors.

https://doi.org/10.26459/hueunijed.v134i5D.7653
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Tài liệu tham khảo

  1. Zheng, X., Huang, J., Wu, J., Sun, S., & Wang, S. (2023), Emerging trends in online reviews research in hospitality and tourism: A scientometric update (2000–2020), Tourism Management Perspectives, 47, 101105. https://doi.org/10.1016/j.tmp.2023.101105
  2. Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004), Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet? Journal of Interactive Marketing, 18(1), 38–52. https://doi.org/10.1002/dir.10073
  3. Filieri, R., & McLeay, F. (2013), E-WOM and Accommodation: An Analysis of the Factors That Influence Travelers’ Adoption of Information from Online Reviews. Journal of Travel Research, 53(1), 44–57. https://doi.org/10.1177/0047287513481274
  4. Kumar, J., & Wadhwa, A. (2023), Electronic word of mouth (e-WOM) in tourism industry: A bibliometric analysis, International Journal of Tourism Policy, 13(6), 543–560. https://doi.org/10.1504/IJTP.2023.134514
  5. Xie, K. L., Zhang, Z., & Zhang, Z. (2014), The business value of online consumer reviews and management response to hotel performance, International Journal of Hospitality Management, 43, 1–12. https://doi.org/10.1016/j.ijhm.2014.07.007
  6. Li, J., Xu, L., Tang, L., Wang, S., & Li, L. (2021), Big data in tourism research: A literature review, Tourism Management, 86, 104324. https://doi.org/10.1016/j.tourman.2018.03.009
  7. Geng, Y., Zhang, X., Gao, J., Yan, Y., & Chen, L. (2024), Bibliometric analysis of sustainable tourism using CiteSpace, Technological Forecasting and Social Change, 202, 123310. https://doi.org/10.1016/j.techfore.2024.123310
  8. Kim, E., Rolfe, A., & Choi, K. (2023), Mapping the research trends on social media in the hospitality sector from 2010 to 2020, Tourism and Hospitality Management, 29(2), 169–183. https://doi.org/10.20867/thm.29.2.2
  9. Litvin, S. W., Goldsmith, R. E., & Pan, B. (2008), Electronic word-of-mouth in hospitality and tourism management, Tourism Management, 29(3), 458–468. https://doi.org/10.1016/j.tourman.2007.05.011
  10. Yang, R., Wong, C. W. Y., & Miao, X. (2021), Analysis of the trend in the knowledge of environmental responsibility research, Journal of Cleaner Production, 278, 123402. https://doi.org/10.1016/j.jclepro.2020.123402
  11. Zhang, Y., Cai, Z., & Liu, Y. (2016), Dimensions of lodging guest satisfaction among guests with mobility challenges: A mixed-method analysis of web-based texts, Tourism Management, 53, 15. https://doi.org/10.1016/j.tourman.2015.09.001
  12. Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021), How to conduct a bibliometric analysis: An overview and guidelines, Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070
  13. Chu, W. W., Hafiz, N. R. M., Mohamad, U. A., Ashamuddin, H., & Tho, S. W. (2023), A review of STEM education with the support of visualizing its structure through the CiteSpace software, International Journal of Technology and Design Education, 33(1), 39–61. https://doi.org/10.1007/s10798-022-09728-3
  14. Huang, G. I., Marion, K., Wong, I. A., & Law, R. (2023), Tourism destination research from 2000 to 2020: A systematic narrative review in conjunction with bibliographic mapping analysis, Tourism Management, 95, 104686. https://doi.org/10.1016/j.tourman.2022.104686
  15. Aksoy, N. C., Kılınç, F. & Mutlu, H. (2021), How do people adopt information on social media? The role of e-WOM in revealing travel itineraries, International Journal of Internet Marketing and Advertising, 15, 20. https://doi.org/10.1504/IJIMA.2021.118258
  16. Arsal, I., Woosnam, K. M., & Aleshinloye, K. D. (2010), Residents as travel destination information providers: An online community perspective, Journal of Travel Research, 49, 14. https://doi.org/10.1177/0047287509346856
  17. Rong, J., Vu, H. Q., Law, R., & Li, G. (2012), A behavioral analysis of web sharers and browsers in Hong Kong using targeted association rule mining, Tourism Management, 33(4), 731–740. https://doi.org/10.1016/j.tourman.2011.08.006
  18. Zhang, Y., & Cole, S. T. (2016), Dimensions of lodging guest satisfaction among guests with mobility challenges: A mixed-method analysis of web-based texts. Tourism Management, 53, 13–27. https://doi.org/10.1016/j.tourman.2015.09.001
  19. Ran, L., Zhenpeng, L., Bilgihan, A., & Okumus, F. (2021), Marketing China to U.S. travelers through electronic word-of-mouth and destination image: Taking Beijing as an example, Journal of Vacation Marketing, 27(3), 267–286. https://doi.org/10.1177/1356766720987869
  20. Kayeser Fatima, J., Khan, M. I., Bahmannia, S., Chatrath, S. K., Dale, N. F., & Johns, R. (2024), Rapport with a chatbot? The underlying role of anthropomorphism in socio-cognitive perceptions of rapport and e-word of mouth, Journal of Retailing and Consumer Services, 77, 103666. https://doi.org/10.1016/j.jretconser.2023.103666
  21. Vermeulen, I. E., & Seegers, D. (2009), Tried and tested: The impact of online hotel reviews on consumer consideration, Tourism Management, 30(1), 123–127. https://doi.org/10.1016/j.tourman.2008.04.008
  22. Chen, Y.-C., Shang, R.-A., & Li, M.-J. (2014). The effects of perceived relevance of travel blogs’ content on the behavioral intention to visit a tourist destination, Computers in Human Behavior, 30, 787–799. https://doi.org/10.1016/j.chb.2013.05.019
  23. Chen, C. (2020), CiteSpace: A Practical Guide for Mapping Scientific Literature, Nova Science Publishers.
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