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Articles

The information characteristics of YouTube tourism content and their impacts on user satisfaction and intention to visit and share information: the moderating role of word-of-mouth information acceptance

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Pages 143-156 | Received 07 Jan 2023, Accepted 20 Apr 2023, Published online: 15 May 2023

References

  • Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74–94. https://doi.org/10.1007/BF02723327
  • Belanche, D., Casaló, L. V., Orús, C., & Pérez-Rueda, A. (2020). Developing a learning network on YouTube: Analysis of student satisfaction with a learner-generated content activity. Educational Networking: A Novel Discipline for Improved Learning Based on Social Networks, 195–231. https://doi.org/10.1007/978-3-030-29973-6_6
  • Bhattancherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351–370. https://doi.org/10.2307/3250921
  • Bilgihan, A., Barreda, A., Okumus, F., & Nusair, K. (2016). Consumer perception of knowledge-sharing in travel-related online social networks. Tourism Management, 52, 287–296. https://doi.org/10.1016/j.tourman.2015.07.002
  • Byrne, B. M. (2001). Structural equation modeling with AMOS, EQS, and LISREL: Comparative approaches to testing for the factorial validity of a measuring instrument. International Journal of Testing, 1(1), 55–86. https://doi.org/10.1207/S15327574IJT0101_4
  • Byrne, B. M. (2004). Testing for multigroup invariance using AMOS graphics: A road less traveled. Structural Equation Modeling: A Multidisciplinary Journal, 11(2), 272–300. https://doi.org/10.1207/s15328007sem1102_8
  • Chatterjee, P. (2001). Online reviews: Do consumers use them? Advanced in Consumer Research, 28(1), 129–134. SSRN-id900158.pdf.
  • Cho, E., & Han, J. (2018). The effect of video user created content tourism information quality on user’s satisfaction, visit intention and information sharing intention. Korean Journal of Hospitality and Tourism, 27(2), 163–179. https://doi.org/10.24992/KJHT.2018.02.27.02.163
  • Choi, J. (2019). The effect of YouTube travel contents features on flow and satisfaction. Journal of Tourism Management Research, 23(2), 193–211. https://doi.org/10.18604/tmro.2019.23.2.10
  • Choi, S. (2020). Antecedents of YouTube UGC tourism information adoption: An extended approach to information adoption model. Journal of Tourism Management Research, 24(2), 681–707. https://doi.org/10.18604/tmro.2020.24.2.33
  • Chow, W. S., & Chan, L. S. (2008). Social network, social trust and shared goals in organizational knowledge sharing. Information & Management, 45(7), 458–465. https://doi.org/10.1016/j.im.2008.06.007
  • Dehghani, M., Niaki, M. K., Ramezami, I., & Sali, R. (2016). Evaluating the influence of YouTube advertising for attraction of young customers. Computers in Human Behavior, 59, 165–172. https://doi.org/10.1016/j.chb.2016.01.037
  • de Vries, L., Gensler, S., & Leeflang, P. S. H. (2012). Popularity of brand posts on brand fan pages: An investigation of the effects of social media marketing. Journal of Interactive Marketing, 26(2), 83–91. https://doi.org/10.1016/j.intmar.2012.01.003
  • Díez, E., & McIntosh, B. S. (2009). A review of the factors which influence the use and usefulness of information systems. Environmental Modelling & Software, 24(5), 588–602. https://doi.org/10.1016/j.envsoft.2008.10.009
  • Fishbein, M., & Ajzen, I. (1975). Belief. Attitude, intention and behavior: An introduction to theory and research. Philosophy and Rhetoric, 10(2), 130–132. https://doi.org/10.1037/h0076477
  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
  • Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis. Prentice-Hall.
  • Han, S. J. (2020). The effect of characteristics of YouTube tourism contents on use satisfaction, continuous use intention, and information sharing intention. Journal of Corporation and Innovation, 43(3), 155–175. https://doi.org/10.20462/JCI.2020.43.3.155. https://www.dbpia.co.kr/Journal/articleDetail?nodeId=NODE10446661.
  • Hanson, G., & Haridakis, P. (2008). YouTube users watching and sharing the news: A uses and gratifications approach. Journal of Electronic Publishing, 11(3). https://doi.org/10.3998/3336451.0011.305
  • Harrison-Walker, L. J. (2001). The measurement of word-of-mouth communication and an investigation of service quality and customer commitment as potential antecedents. Journal of Service Research, 4(1), 60–75. https://doi.org/10.1177/109467050141006
  • Hwang, H. (2018). The effect of YouTube beauty video characteristics on beauty managing behavior and product purchase intention. Journal of Beauty Art Management, 12(4), 67–84. UCI: I410-ECN-0102-2021-600-000982863
  • Hwang, J., Lee, J. S., & Kim, H. (2019). Perceived innovativeness of drone food delivery services and its impacts on attitude and behavioral intentions: The moderating role of gender and age. International Journal of Hospitality Management, 81, 94–103. https://doi.org/10.1016/j.ijhm.2019.03.002
  • Irfan, M., Malik, M. S., & Zubair, S. K. (2022). Impact of Vlog marketing on consumer travel intent and consumer purchase intent with the moderating role of destination image and ease of travel. SAGE Open, 12(2), 1–9. https://doi.org/10.1177/21582440221099522
  • Kanwel, S., Lingqiang, Z., Asif, M., Hwang, J., Hussain, A., & Jameel, A. (2019). The influence of destination image on tourist loyalty and intention to visit: Testing a multiple mediation approach. Sustainability, 11(22), 6401. https://doi.org/10.3390/su11226401
  • Katz, E. (1959). Mass communications research and the study of popular culture: An editorial note on a possible future for this journal. Studies in Public Communication, 2, 1–6. Retrieved from https://repository.upenn.edu/asc_papers/165
  • Kim, I., & Kim, J. J. (2021). Emotional attachment, age and online travel community behaviour: The role of parasocial interaction. Current Issues in Tourism, 24(24), 3466–3488. https://doi.org/10.1080/13683500.2021.1952942
  • Kim, J. J., & Hwang, J. (2020). Merging the norm activation model and the theory of planned behavior in the context of drone food delivery services: Does the level of product knowledge really matter? Journal of Hospitality and Tourism Management, 42, 1–11. https://doi.org/10.1016/j.jhtm.2019.11.002
  • Kim, J. J., Hwang, J., & Kim, I. (2020). Congruent charitable cause sponsorship effect: Air travelers’ perceived benefits, satisfaction and behavioral intention. Journal of Hospitality and Tourism Management, 42, 190–198. https://doi.org/10.1016/j.jhtm.2020.01.004
  • Kim, J. J., Kim, I., & Hwang, J. (2021). A change of perceived innovativeness for contactless food delivery services using drones after the outbreak of COVID-19. International Journal of Hospitality Management, 93, 102758. https://doi.org/10.1016/j.ijhm.2020.102758
  • Kotler, P., Bowen, J. T., Makens, J. C., & Baloglu, S. (2009). Marketing for hospitality & tourism. Prentice Hall.
  • KTO Official YouTube Channel. (2022). https://www.youtube.com/ibuzzkorea
  • Kuss, D. J., & Griffiths, M. D. (2011). Online social networking and addiction: A review of the psychological literature. International Journal of Environmental Research and Public Health, 8(9), 3528–3552. https://doi.org/10.3390/ijerph8093528
  • Kwon, K. (2016). The effects of blog information characteristics on reliability and visit intention in food service business. Tourism Institute of Northeast Asia, 12(4), 243–262. UCI: I410-ECN-0102-2021-300-000238303
  • Le, L. H., & Hancer, M. (2021). Using social learning theory in examining YouTube viewers’ desire to imitate travel vloggers. Journal of Hospitality and Tourism Technology, 12(3), 512–532. https://doi.org/10.1108/JHTT-08-2020-0200
  • Lin, H. F. (2007). Knowledge sharing and firm innovation capability: An empirical study. International Journal of Manpower, 28(3/4), 315–332. https://doi.org/10.1108/01437720710755272
  • 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
  • Liu, Z., & Noh, J. (2020). The effects of word-of-mouth information characteristics of Korean tourism and information senders characteristics on word-of-mouth effect in China SNS. Journal of Tourism Management Research, 24(3), 495–518. https://doi.org/10.18604/tmro.2020.24.3.23
  • Lounsbury, J. W., & Polik, J. R. (1992). Leisure needs and vacation satisfaction. Leisure Sciences, 14(2), 105–119. https://doi.org/10.1080/01490409209513161
  • MacKay, K., Barbe, D., Van Winkle, C. M., & Halpenny, E. (2017). Social media activity in a festival context: Temporal and content analysis. International Journal of Contemporary Hospitality Management, 29(2), 669–689. https://doi.org/10.1108/IJCHM-10-2015-0618
  • Mirkovski, K., Yin, C., Liu, L., & Yang, J. (2019). Exploring the contingent effect of community equity on users’ intention to share information. Information Systems Frontiers, 21(4), 845–860. https://doi.org/10.1007/s10796-017-9777-8
  • Moon, S., & Kim, Y. (2019). A study of YouTube beauty contents, usage motivation, satisfaction and intention of continuous usage of beauty majors. Korean Society of Cosmetics and Cosmetology, 23(2), 405–415. https://www.dbpia.co.kr/Journal/articleDetail?nodeId=NODE09292295
  • National Information Society Agency. (2020). 2020 Survey on the Internet usage. Ministry of Science and ICT. https://www.nia.or.kr/site/nia_kor/ex/bbs/List.do?cbIdx=99870
  • Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460–469. https://doi.org/10.1177/002224378001700405
  • Oum, S., & Han, D. W. (2011). An empirical study of the determinants of the intention to participate in user-created contents (UCC) services. Expert Systems with Applications, 38(12), 15110–15121. https://doi.org/10.1016/j.eswa.2011.05.098
  • Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. In Communication and persuasion (pp. 1–24). New York: Springer.
  • Qahri-Saremi, H., & Montazemi, A. R. (2019). Factors affecting the adoption of an electronic word of mouth message: A meta-analysis. Journal of Management Information Systems, 36(3), 969–1001. https://doi.org/10.1080/07421222.2019.1628936
  • Seçilmiş, C., Özdemir, C., & Kılıç, İ. (2022). How travel influencers affect visit intention? The roles of cognitive response, trust, COVID-19 fear and confidence in vaccine. Current Issues in Tourism, 25(17), 2789–2804. https://doi.org/10.1080/13683500.2021.1994528
  • Shin, D. S. (2012). Impact of tourism information e-WOM characteristics on the acceptance of e-WOM and intention of visit. International Journal of Tourism Management and Sciences, 27(2), 279–300. https://www.dbpia.co.kr/pdf/pdfView.do?nodeId=NODE01891642
  • Silaban, P. H., Chen, W. K., Nababan, T. S., Eunike, I. J., & Silalahi, A. D. K. (2022). How travel vlogs on YouTube influence consumer behavior: A use and gratification perspective and customer engagement. Human Behavior and Emerging Technologies, 2022, 1–16. https://doi.org/10.1155/2022/4432977
  • Sundar, S. S., & Kalyanaraman, S. (2004). Arousal, memory, and impression formation effects of animation speed in web advertising. Journal of Advertising, 33(1), 7–17. https://doi.org/10.1080/00913367.2004.10639152
  • Sussman, S. W., & Siegal, W. S. (2003). Informational influence in organizations: An integrated approach to knowledge adoption. Information Systems Research, 14(1), 47–65. https://doi.org/10.1287/isre.14.1.47.14767
  • Tolunay, A., & Ekizler, H. (2021). Analyzing online shopping behavior from the perspective of YouTube: Do Vlog content and Vlogger characteristics matter. OPUS International Journal of Society Researches, 18(41), 3041–3065. https://doi.org/10.26466/opus.874722
  • Wasko, M. M., & Faraj, S. (2005). Why should I share? Examining social capital and knowledge contribution in electronic networks of practice. MIS Quarterly, 29(1), 35–57. https://doi.org/10.2307/25148667
  • Westbrook, R. A. (1987). Product/consumption-based affective responses and postpurchase processes. Journal of Marketing Research, 24(3), 258–270. https://doi.org/10.1177/002224378702400302
  • Wiseapp. (2019). The usage of domestic Android smartphone users by generation. Platum. https://platum.kr/archives/121344
  • YouTube Official Blog. (2020). About YouTube. https://blog.youtube/press/

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