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

Keywords

eWOM
bibliometric analysis
tourism and hospitality
CiteSpace

Abstract

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.v134i5S.7653
PDF

References

  1. 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.
  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. Geng, Y. Q., & Maimaituerxun, M. (2022), Research progress of green marketing in sustainable consumption based on CiteSpace analysis, SAGE Open, 12(3), 19. https://doi.org/10.1177/21582440221119835
  4. 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
  5. 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
  6. 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
  7. 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
  8. Lopez, N. R., García, J. M., Toril, J. U., & Valenciano, J. D. (2020), Evolution and latest trends of local government efficiency: Worldwide research (1928-2019), Journal of Cleaner Production, 261, 121276. https://doi.org/10.1016/j.jclepro.2020.121276
  9. Noroozi, A., & Kardan, A. (2010), The influence of semantic web on decision making of customers in tourism industry, International Journal of Information Science and Management.
  10. 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
  11. 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
  12. Chen, C. (2020), CiteSpace: A Practical Guide for Mapping Scientific Literature, Nova Science Publishers.
  13. Milwood, P., & Raab, C. (2013), A comparison of social media adoption and use in different countries: The case of the United States and Switzerland, Journal of Travel & Tourism Marketing. https://doi.org/10.1080/10548408.2013.751287
  14. Zhang, S., Li, Y., & Ruan, W. (2021), The relationship between electronic word-of-mouth and consumers’ purchase intentions in the tourism industry: A meta-analysis, Journal of Hospitality and Tourism Management, 46, 1–8. https://doi.org/10.1016/j.jhtm.2020.11.006
  15. 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
  16. Goldsmith, R. E., & Horowitz, D. (2006), Measuring motivations for online opinion seeking, Journal of Interactive Advertising, 6(2), 1–16. https://doi.org/10.1080/15252019.2006.10722114
  17. 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
  18. 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.2021.104324
  19. 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
  20. Jeong, M., & Kim, J. (2020), Exploring a consumer’s personal characteristics as antecedents of purchasing online travel products, Journal of Hospitality and Tourism Technology, 11(1), 101–117. https://doi.org/10.1108/JHTT-02-2018-0016
  21. 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
  22. 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
  23. Rong, J., Xu, Y., & Zhou, Z. (2012), A behavioral analysis of web sharers and browsers in Hong Kong using targeted association rule mining, Tourism Management, 33, 10. https://doi.org/10.1016/j.tourman.2011.08.006
  24. 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
  25. Ran, L., Li, C., & Li, F. (2021), Marketing China to US travelers through electronic word-of-mouth and destination image: Taking Beijing as an example, Journal of Vacation Marketing, 27, 20. https://doi.org/10.1177/1356766720987869
  26. Fatima, J. K., & Hasan, S. (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, 10. https://doi.org/10.1016/j.jretconser.2023.103666
  27. 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
  28. 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, 13. https://doi.org/10.1016/j.chb.2013.05.019
Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Copyright (c) 2025 Array