Redes sociales y la influencia en la decisión del destino turístico

Autores/as

DOI:

https://doi.org/10.7764/cdi.57.65499

Palabras clave:

afectación social; atención; calificaciones; observaciones; susceptibilidad; turismo.

Resumen

El modelo de negocios de los sitios turísticos ha evolucionado y las herramientas de tecnologías de la información y de las comunicaciones se han convertido en piedra angular para el actual modelo, en donde convergen empresas y usuarios o turistas. En este escenario, la web juega un rol trascendente: a través de ella, observaciones y calificaciones que hagan terceros se convierten en un elemento que genera un grado de influencia tal que afecta la decisión de usuarios de los sitios turísticos. El propósito de este estudio es determinar precisamente el grado de impacto de las variables independientes –número de observaciones y calificaciones por terceros– sobre elementos o variables dependientes, como la atención que suscita el sitio, la información y la probabilidad de reserva, todo ello mediado por el concepto de susceptibilidad o afectación de la percepción sobre la influencia de terceros. El proceso metodológico implementado incluye un muestreo exploratorio inicial para determinar y validar los niveles de las variables independientes y el diseño de las ofertas turísticas, sumado a un muestreo por conveniencia y al uso de un modelo factorial de diseño de experimentos. Se concluye que el volumen de las observaciones emitidas por terceros, así como las calificaciones que el sitio refleje, constituye un factor preponderante al momento de optar por un sitio turístico, y que el rol de la susceptibilidad afecta directamente a las necesidades del usuario en cuanto a los requerimientos de información, la atención, e influye en la probabilidad de reserva del sitio turístico.

Biografía del autor/a

Omar Millán, Universidad de Investigación y Desarrollo UDI, Bucaramanga, Colombia

Omar Millán Delgado, ingeniero industrial, especialista en sistemas integrados de gestión. Cuenta con una maestría en Administración de empresas y un doctorado en Planificación estratégica y dirección de tecnología. Es docente universitario con más de 20 años de experiencia en disciplinas de la administración e ingeniería. Posee experiencia laboral en sistemas de gestión y en consultoría empresarial y en coordinación en procesos de acreditación de programas de pregrado y posgrado. Sus áreas de investigación son analítica de datos e innovación empresarial.

Citas

Alcántara-Pilar, J. M. & del Barrio-García, S. (2016). El papel moderador del diseño web y la cultura del país en la respuesta del consumidor online. Una aplicación a los destinos turísticos (The moderator role of web design and culture of the country in the online consumer response. An application to tourism destination). European Research on Management and Business Economics, 22(2), 78–87. https://doi.org/10.1016/j.iedee.2015.10.007

Amblee, N. & Bui, T. (2011). Harnessing the Influence of Social Proof in Online Shopping: The Effect of Electronic Word of Mouth on Sales of Digital Microproducts. International Journal of Electronic Commerce, 16(2), 91-113. https://www.jstor.org/stable/23106395

Anderson, C. K. & Han, S. (2016). Hotel Performance Impact of Socially Engaging with Consumers. Cornell Hospitality Report, 16(10). https://hdl.handle.net/1813/71227

Bearden, W. O., Netemeyer, R. G., & Tell, J. E. (1989). Measurement of Consumer Susceptibility to Interpersonal Influence. Journal of Consumer Research, 15(4), 473-481. https://www.jstor.org/stable/2489543

Bigné, J. E., Aldás, J., & Andreu, L. (2008). B2B services: IT adoption in travel agency supply chains. Journal of Services Marketing, 22(6), 454–464. https://doi.org/10.1108/08876040810901873

Blal, I. & Sturman, M. C. (2014). The Differential Effects of the Quality and Quantity of Online Reviews on Hotel Room Sales. The Cornell Hospitality Quarterly, 55(4), 365–375. https://doi.org/10.1177/1938965514533419

Borror, C. M., Montgomery, D. C., & Myers, R. H. (2018). Evaluation of Statistical Designs for Experiments Involving Noise Variables. Journal of Quality Technology, 34(1), 54–70. https://doi.org/10.1080/00224065.2002.11980129

Camilleri, M. A., & Filieri, R. (2023). Customer satisfaction and loyalty with online consumer reviews: Factors affecting revisit intentions. International Journal of Hospitality Management, 114, 103575. https://doi.org/10.1016/j.ijhm.2023.103575

Cestino González, E. & Pérez Tapia, G. (2020). Análisis de la imagen de España como destino turístico a partir de las redes sociales. El caso de Corea del Sur (Analysis of the image of Spain as a tourist destination from social networks. The case of South Korea). IROCAMM-International Review of Communication and Marketing Mix, 2(3), 82–95. https://doi.org/10.12795/IROCAMM.2020.V02.I03.06

Chevalier, J. A. & Mayzlin, D. (2006). The Effect of Word of Mouth on Sales: Online Book Reviews. Journal of Marketing Research, 43(3), 345–354. https://doi.org/10.1509/JMKR.43.3.345

Cialdini, R. (2009). Influence: Science and Practice. Pearson Education.

Diana-Jens, P. & Rodríguez Ruibal, A. (2015). La reputación online y su impacto en la política de precios de los hoteles (Online reputation and its impact on hotel pricing strategies). Cuadernos de Turismo, (36), 129–155. https://doi.org/10.6018/TURISMO.36.230911

Domínguez Vila, T. & Araújo Vila, N. (2014). Gestión de las redes sociales turísticas en la web 2.0 (Management of social networks of tourism in the web 2.0). Vivat Academia, (129), 57–78. https://doi.org/10.15178/VA.2014.129.57-78

Fernandes, S., Panda, R., Venkatesh, V. G., Swar, B. N., & Shi, Y. (2022). Measuring the impact of online reviews on consumer purchase decisions – A scale development study. Journal of Retailing and Consumer Services, 68, 103066. https://doi.org/10.1016/J.JRETCONSER.2022.103066

Ghose, A. & Ipeirotis, P. G. (2007). Designing novel review ranking systems: Predicting the usefulness and impact of reviews. In M. Gini & R. J. Kaufmann (Chairs), ICEC '07: Proceedings of the ninth international conference on Electronic commerce (pp. 303–310). ACM. https://doi.org/10.1145/1282100.1282158

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

Huertas García, R. & Consolación Segura, C. (2008). La identificación de la voz del cliente mediante la experimentación con diseños factoriales: aplicación a la elaboración de una ruta turística (Identifying the voice of the customer through experimentation with factorial designs: application to the development of a tourist route). Estudios Turísticos, (178), 75-93. https://doi.org/10.61520/et.1782008.1054

Huertas García, R. & Laguna García, M. (2011). La utilización del diseño de experimentos como instrumento para el estudio del turista (The use of the design of experiments as a tool to study the tourist). Papers de Turismo, (49-50), 45-58. www.turisme.gva.es/ojs/index.php/Papers/article/view/167

Jin, W., Chen, Y., Yang, S., Zhou, S., Jiang, H., & Wei, J. (2023). Personalized managerial response and negative inconsistent review helpfulness: The mediating effect of perceived response helpfulness. Journal of Retailing and Consumer Services, 74, 103398. https://doi.org/10.1016/j.jretconser.2023.103398

Kapeš, J., Keča, K., Fugošić, N., & Tanković, A. Č. (2022). Management response strategies to a negative online review: influence on potential guests’ trust. Tourism and Hospitality Management, 28(1), 1-27. https://doi.org/10.20867/thm.28.1.1

Khare, A., Mishra, A., Parveen, C., & Srivastava, R. (2011). Influence of consumers’ susceptibility to interpersonal influence, collective self-esteem and age on fashion clothing involvement: A study on Indian consumers. Journal of Targeting, Measurement and Analysis for Marketing, 19, 227–242. https://doi.org/10.1057/JT.2011.22

Lee, H. A., Law, R., & Murphy, J. (2011a). Helpful Reviewers in TripAdvisor, an Online Travel Community. Journal of Travel & Tourism Marketing, 28(7), 675–688. https://doi.org/10.1080/10548408.2011.611739

Lee, M. K. O., Shi, N., Cheung, C. M. K., Lim, K. H., & Sia, C. L. (2011b). Consumer’s decision to shop online: The moderating role of positive informational social influence. Information & Management, 48(6), 185–191. https://doi.org/10.1016/J.IM.2010.08.005

Li, N., Meng, F., & Martin, D. (2023). The influence of travel photo editing on tourists’ experiences. Tourism Management, 98, 104762. https://doi.org/10.1016/J.TOURMAN.2023.104762

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, X., Li, C., Nicolau, J. L., & Han, M. (2023). The value of rating diversity within multidimensional rating system: Evidence from hotel booking platform. International Journal of Hospitality Management, 110, 103434. https://doi.org/10.1016/J.IJHM.2023.103434

Lo, A. S., & Yao, S. S. (2019). What makes hotel online reviews credible? An investigation of the roles of reviewer expertise, review rating consistency and review valence. International Journal of Contemporary Hospitality Management, 31(1), 41-60. https://doi.org/10.1108/IJCHM-10-2017-0671

Lopes, A. I., Dens, N., De Pelsmacker, P., & Malthouse, E. C. (2023). Managerial response strategies to eWOM: A framework and research agenda for webcare. Tourism Management, 98, 104739. https://doi.org/10.1016/j.tourman.2023.104739

Mariani, M. M., Borghi, M., & Laker, B. (2023). Do submission devices influence online review ratings differently across different types of platforms? A big data analysis. Technological Forecasting and Social Change, 189, 122296. https://doi.org/10.1016/J.TECHFORE.2022.122296

Ministerio de Comercio, Industria y Turismo. (2022). Informe mensual de turismo diciembre de 2022 - enero de 2023 (Monthly tourism report), https://www.mincit.gov.co/estudios-economicos/estadisticas-e-informes/informes-de-turismo

Ministerio de Comercio, Industria y Turismo. (2023). Informe mensual de turismo Mayo-Junio de 2023 (Monthly tourism report), https://www.mincit.gov.co/estudios-economicos/estadisticas-e-informes/informes-de-turismo

Montgomery, D. (2005). Diseño y análisis de experimentos (Vol. II). (Design and Analysis of Experiments). Universidad Estatal de Arizona.

Mousavizadeh, M., Koohikamali, M., Salehan, M., & Kim, D. J. (2022). An Investigation of Peripheral and Central Cues of Online Customer Review Voting and Helpfulness through the Lens of Elaboration Likelihood Model. Information Systems Frontiers. 24, 211–231. https://doi.org/10.1007/s10796-020-10069-6

Park, K., Ha, J., & Park, J.-Y. (2017). An Experimental Investigation on the Determinants of Online Hotel Booking Intention. Journal of Hospitality Marketing and Management, 26(6), 627-643. https://doi.org/10.1080/19368623.2017.1284631

Parra-López, E., Bulchand-Gidumal, J., Gutiérrez-Taño, D., & Díaz-Armas, R. (2011). Intentions to use social media in organizing and taking vacation trips. Computers in Human Behavior, 27(2), 640–654. https://doi.org/10.1016/J.CHB.2010.05.022

Racherla, P., Connolly, D. J., & Christodoulidou, N. (2013). What Determines Consumers’ Ratings of Service Providers? An Exploratory Study of Online Traveler Reviews. Journal of Hospitality Marketing and Management, 22(2), 135-161. http://10.1080/19368623.2011.645187

Rodríguez, R. & García, J. S. (2020). Uso de influencers en el marketing digital de las empresas turísticas españolas (Use of influencers in the Spanish tourism companies’ digital marketing). Cuadernos.Info, (51), 200-222. https://doi.org/10.7764/cdi.51.27743

Rodríguez Cid, L., Fraiz Brea, J. A., & Ramos Valcárcel, D. (2015). Las Agencias de Viajes ante la influencia de las Redes Sociales en el turismo. El caso de Ourense (Travel Agencies facing the influence of Social Networks in tourism. The case of Ourense). PASOS Revista de Turismo y Patrimonio Cultural, 13(4), 829–836. https://doi.org/10.25145/j.pasos.2015.13.057

Schuckert, M., Liu, X., & Law, R. (2015). Hospitality and Tourism Online Reviews: Recent Trends and Future Directions. Journal of Travel & Tourism Marketing, 32(5), 608-621.https://doi.org/10.1080/10548408.2014.933154

Schweidel, D. A., Moe, W. W., & Boudreaux, C. (2011). Social Media Intelligence: Measuring Brand Sentiment from Online Conversations. SSRN Electronic Journal. https://doi.org/10.2139/SSRN.1874892

Singh, H. P., Alshallaqi, M., & Altamimi, M. (2023). Predicting Critical Factors Impacting Hotel Online Ratings: A Comparison of Religious and Commercial Destinations in Saudi Arabia. Sustainability, 15(15), 11998. https://doi.org/10.3390/su151511998

Sparks, B. A. & Browning, V. (2011). The impact of online reviews on hotel booking intentions and perception of trust. Tourism Management, 32(6), 1310-1323. https://doi.org/10.1016/j.tourman.2010.12.011

Tuominen, P. (2011). The Influence of TripAdvisor Consumer-Generated Travel Reviews on Hotel Performance. Business School Working Paper, 2–12. http://hdl.handle.net/2299/7612

Ventre, I., & Kolbe, D. (2020). The Impact of Perceived Usefulness of Online Reviews, Trust and Perceived Risk on Online Purchase Intention in Emerging Markets: A Mexican Perspective. Journal of International Consumer Marketing, 32(4), 287-299. https://doi.org/10.1080/08961530.2020.1712293

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

Willemsen, L. M., Neijens, P. C., Bronner, F., & De Ridder, J. A. (2011). “‘Highly Recommended!’” The Content Characteristics and Perceived Usefulness of Online Consumer Reviews. To Circumvent Journal of Computer-Mediated Communication, 17(1), 19–38. https://doi.org/10.1111/j.1083-6101.2011.01551.x

World Economic Forum. (2019). The Travel & Tourism Competitiveness Report 2019. Travel and Tourism at a Tipping Point. https://www.weforum.org/publications/the-travel-tourism-competitiveness-report-2019/

World Economic Forum. (2022). Travel & Tourism Development Index 2021. Rebuilding for a Sustainable and Resilient Future. https://www.weforum.org/publications/travel-and-tourism-development-index-2021/

Wu, Y., Ngai, E. W. T., Wu, P., & Wu, C. (2020). Fake online reviews: Literature review, synthesis, and directions for future research. Decision Support Systems, 132, 113280. https://doi.org/10.1016/j.dss.2020.113280

Xiang, Z. & Gretzel, U. (2010). Role of social media in online travel information search. Tourism Management, 31(2), 179–188. https://doi.org/10.1016/J.TOURMAN.2009.02.016

Ye, Q., Law, R., & Gu, B. (2009). The impact of online user reviews on hotel room sales. International Journal of Hospitality Management, 28(1), 180–182. https://doi.org/10.1016/J.IJHM.2008.06.011

Yuan, Y., Chan, C.-S., Eichelberger, S., Ma, H., & Pikkemaat, B. (2022). The effect of social media on travel planning process by Chinese tourists: the way forward to tourism futures. Journal of Tourism Futures. https://doi.org/10.1108/JTF-04-2021-0094

Zhang, C., Chen, J., & Fu, X. (2023). A multilevel analysis of adoption intention of travel information on social media: Evidence from China. Travel Behaviour and Society, 32, 100582. https://doi.org/10.1016/J.TBS.2023.100582

Zhu, F. & Zhang, X. (Michael). (2010). Impact of Online Consumer Reviews on Sales: The Moderating Role of Product and Consumer Characteristics. Journal of Marketing, 74(2), 133-148. https://doi.org/10.1509/jm.74.2.133

Publicado

2024-01-18

Cómo citar

Millán, O. (2024). Redes sociales y la influencia en la decisión del destino turístico. Cuadernos.Info, (57), 315–337. https://doi.org/10.7764/cdi.57.65499