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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Kiven G. Olivar, Kirby S. Acquiatan, Patricia Mae S. Palado
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DOI:10.17265/2328-2169/2023.02.002
University of Mindanao, Davao City, Philippines
This paper aims to determine the mediating effect of social media on the relationship between travel behavior and tourist preference. This paper utilized the mediation analysis design to determine whether social media significantly affects the independent and dependent variables. For the statistical tools, the proponents of the study utilized descriptive statistics, Sobel’s test, mean and standard deviation. Also, the proponents of the study utilized data from questionnaires gathered through an online google form. Most of the respondents are single females, college-level, and use Facebook most of the time. Therefore, this is the social media platform that the majority utilize. It has been revealed in the study the three sets of correlated variables: Travel behavior vs. tourist behavior, travel preference vs. social media, and social media vs. tourist behavior, have a strong positive linear relationship between the two quantitative variables. Thus, the study proponents concluded that there is an indirect effect between the travel preference and tourist behavior of local tourists in Davao City via social media. Lastly, the study’s findings reveal the fundamentals of how visitors make decisions, which are essential for enhancing the competitive advantages of cultural destinations. Significant findings from the study are beneficial to the growth of cultural tourism in Davao City.
travel preference, tourist behavior, social media, mediating effect
Journal of Tourism and Hospitality Management, Mar.-Apr. 2023, Vol. 11, No. 2, 51-59, doi: 10.17265/2328-2169/2023.02.002.
Abdullah, M., Dias, C., Muley, D., & Shahin, M. (2020). Exploring the impacts of COVID-19 on travel behavior and mode preferences. Transportation Research Interdisciplinary Perspectives, 8, 100255.
Adeke, P., Zava, A. E., & Etika, A. (2020). The impact of COVID-19 pandemic on travel behavior of commuters in Makurdi metropolis. Cogent Engineering, 8(1), Article 1960249.
Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In Action control: From cognition to behavior (pp. 11-39). Berlin, Heidelberg: Springer Berlin Heidelberg.
Anon. (2020). Rappler. Retrieved from https://www.rappler.com/nation/full-time-students-part-time-workers-philippines/
Anon. (2021). Voxco. Retrieved from https://www.voxco.com/blog/descriptive-researchdesign/#:~:text=Descriptive%20research%
20design%20is%20a,problem%2C%20rather%20than%20the%20why
Awad-Nunez, S., Julio, R., Gomez, J., Moya-Gómez, B., & González, J. S. (2021). Post-COVID-19 travel behavior patterns: Impact on the willingness to pay of users of public transport and shared mobility services in Spain. European Transport Research Review, 13, Article 20.
Aw, Y. C. (2011). Behavior and preferences in browsing travel and tourism websites. 2011 IEEE Colloquium on Humanities, Science and Engineering. Penang, Malaysia.
Brookes, E. (2021). Simply psychology. Retrieved from https://www.simplypsychology.org/theory-of-planned-behavior.html
Davis, A., & Shiftan, Y. (2020). ScienceDirect. Retrieved from https://www.sciencedirect.com/topics/social-sciences/travel-behavior
Diana, R. (2022). Social media impact on the tourism industry during pandemic COVID-19: Malaysia’s experienced. Retrieved from https://www.researchgate.net/publication/358068003_SOCIAL_MEDIA_IMPACT_ON_THE_TOURISM_INDUSTRY_DURING_PANDEMIC_COVID-19_MALAYSIA’S_EXPERIENCED
Dyer, J. S., & Jia, J. (2016). Preference theory. In Encyclopedia of operations research and management science (pp. 1156-1159). New York: Springer.
Han, H., Chung, N., & Koo, C. (2016). Utilizing smart technologies to enhance tourists. 인터넷전자상거래연구, 16(5), 1-19.
Javed, M., Tučková, Z., & Jibril, A. B. (2020). The role of social media on tourists’ behavior: An empirical analysis of millennials from the Czech Republic. Sustainability, 12(18), 7735.
Juvan, E., Omerzel, D. G., & Maravic, M. U. (2017). Tourist behaviour: An overview of models to date. MIC 2017: Managing the Global Economy; Proceedings of the Joint International Conference. Monastier di Treviso, Italy.
Liu, S., Mehraliyev, F., Liu, C., & Shuckert, M. (2019). The roles of social media in tourists’ choices of travel components. Tourist Studies, 20, 27-48.
Mbwana, K. A. (2018). Influence of social media marketing on performance of small and medium enterprises in Nairobi County, Kenya (Master thesis, University of Nairobi, 2018).
MacKinnon, D., & Valente, M. (2019). Mediation analysis. Oxford bibliographies. Retrieved from https://www.oxfordbibliographies.com/display/document/obo-9780199828340/obo-9780199828340-0245.xml
Nettleton, D. (2014). Selection of variables and factor derivation. In Commercial data mining (pp. 79-104). Oxford: Elsevier.
Olivar, K. G., Ocio, R. L., & Sitier, N. J. S. (2022). Influence of managerial styles on career satisfaction and occupational stress: The mediating role of followership styles and the interaction effects of organizational citizenship behavior of three star hotels. Archives of Business Research, 10(10), 26-38.
Olivar, K. G., & Tangonan, M. E. (2022). Effects of global leadership style on employee work engagement: Followership styles as mediator and perceived organizational support as moderator of MICE. Journal of Production, Operations Management and Economics (JPOME), 2(2), 30-44.
Olivar, K. G., Bulac, C. J. A., Genovia, R. M., & Sarip, N. D. (2023). The influence of ecotourism performance on quality tourism experience and sustainable consciousness. International Journal of Tourism & Hospitality Reviews, 10(1), 40-46.
Rahman, M. K., Gazi, M. A. I., Ahmed, M., & Rahaman, M. A. (2021). Effect of COVID-19 pandemic on tourist travel risk and management perceptions. PLoS ONE, 16(9), e0256486.
Ralston, L., & Tran, X. (2016). Tourist preferences—Influence of unconscious needs. Annals of Tourism Research, 33(2), 424-441.
Ropert, J. E., & David, M. (2013). Britannica. Retrieved from https://www.britannica.com/topic/revealed-preference-theory
Tamsang, A., Kim, J., Lily, J., & Idris, S. (2020). Media content analysis on impacts of COVID-19 pandemic on the tourism industry in Malaysia. Journal of Humanities and Social Sciences Research, 2(2), 55-66.
Thelwall, M., & Kousha, K. (2015). Web indicators for research evaluation. Part 2: Social media metrics. El Profesional de la Informacion, 24(5), 607-620.
Yuan, Y., Chan, C. S., Eichelberger, S., Ma, H., & Pikkemaat, B. (2022). The effect of social media on the travel planning process by Chinese tourists: Their way forward to tourism futures. Retrieved from https://doi.org/10.1108/JTF-04-2021-0094
Zeng, B., & Gerritsen, R. (2014). What do we know about social media in tourism? A review. Tourism Management Perspectives, 10, 27-36.
Zhang, X. X., Yang, Z. J., Nie, F., & Yan, Q. L. (2020). Recent advances on the crystallization engineering of energetic materials. Energetic Materials Frontiers, 1(3-4), 141-156.
Zivkovic, R., Gajic, J., & Brdar, I. (2014). The impact of social media on tourism. In E-business in tourism and hospitality industry (pp. 758-761). Retrieved from https://www.researchgate.net/publication/266382179_The_Impact_of_Social_Media_on_Tourism