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dc.contributor.authorMajó, Joaquim
dc.contributor.authorMoya, Daissy
dc.contributor.authorVall-llosera, Laura
dc.date.accessioned2020-01-08T19:29:30Z
dc.date.available2020-01-08T19:29:30Z
dc.date.issued2017-11-08
dc.identifierhttp://revistas.unimilitar.edu.co/index.php/rfce/article/view/3143
dc.identifier10.18359/rfce.3143
dc.identifier.urihttp://hdl.handle.net/10654/34019
dc.descriptionThe objective of this research is to analyze the influence of hotel ratings on social networks and how they affect hotel revenues. From 48 hotels´ monthly data (between August 2014 and July 2015) of Colombia, Ecuador and Peru, the following variables were analyzed: GRI (Global Review Index), Offer, Demand, Sale, RevPAR (Revenue Per Available Room) and Location; by conglomerates analysis and a linear model. It was found that a better GRI favors a better ratio between sales and supply. Specifically, we observe that when the GRI increases by one unit, the RevPAR grows by 0.49%, keeping the rest of the variables constant. It is the first research conducted in South America to analyze the incidence of social networks on hotel revenues.eng
dc.descriptionEl objetivo de la presente investigación es analizar la influencia de las valoraciones de los hoteles en las redes sociales y cómo estas afectan los ingresos de los hoteles. A partir de los datos mensuales (entre agosto de 2014 y julio de 2015) de 48 hoteles de Colombia, Ecuador y Perú se analizaron principalmente las variables: GRI (Global Review Index), Oferta, Demanda, Venta, RevPAR (Revenue Per Avalable Room) y Ubicación; mediante análisis de conglomerados y un modelo lineal. Se encontró que un mejor GRI favorece a una mejor ratio entre las ventas y la oferta. En concreto, observamos que cuando el GRI se incrementa en una unidad, el RevPAR crece en 0,49%, manteniendo el resto de variables constantes. Es la primera investigación realizada en Sudamérica para analizar la incidencia de las redes sociales en los ingresos de los hoteles.spa
dc.descriptionO objetivo da presente pesquisa é analisar a influência das avaliações dos hotéis nas redes sociais e como estas afetam seus rendimentos. A partir de dados mensais (entre agosto de 2014 e julho de 2015) de 48 hotéis da Colômbia, do Equador e do Peru, analisaram-se principalmente as variáveis: GRI (Global Review Index), oferta, demanda, venda, RevPAR (Revenue Per Avalable Room) e localização, mediante análise de conglomerados e um modelo linear. Encontrou-se que um melhor GRI favorece a uma melhor ratio entre as vendas e a oferta. Mais especificamente, observamos que quando o GRI se incrementa em uma unidade, o RevPAR cresce em 0,49%, mantendo o resto de variáveis constantes. É a primeira pesquisa realizada na América do Sul para analisar a incidência das redes sociais nos rendimentos dos hotéis.por
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dc.language.isospa
dc.publisherUniversidad Militar Nueva Granadaspa
dc.rightsDerechos de autor 2017 Revista Facultad de Ciencias Económicasspa
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0spa
dc.sourceRevista Facultad de Ciencias Económicas; Vol. 26 Núm. 1 (2018); 147-162spa
dc.source1909-7719
dc.source0121-6805
dc.titleImpact of social networks on hotels´ incomes in Colombia, Ecuador and Perueng
dc.titleImpacto de las redes sociales en los ingresos de los hoteles en Colombia, Ecuador y Perúspa
dc.titleImpacto das redes sociais nos rendimentos dos hotéis na Colômbia, no Equador e no Perupor
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.relation.referenceshttp://revistas.unimilitar.edu.co/index.php/rfce/article/view/3143/2675
dc.relation.referenceshttp://revistas.unimilitar.edu.co/index.php/rfce/article/view/3143/2715
dc.relation.references/*ref*/Akehurst, G. (2009). User generated content: The use of blogs for tourism organisations and tourism consumers. Service Business, 3(1), 51-61. https://doi.org/10.1007/s11628-008-0054-2
dc.relation.references/*ref*/Al-Debei, M. M., & Al-Lozi, E. (2014). Explaining and predicting the adoption intention of mobile data services: A value-based approach. Computers in Human Behavior, 35: 326-338. https://doi.org/10.1016/j.chb.2014.03.011
dc.relation.references/*ref*/Anderson, C. (2012). The impact of social media on lodging performance. Cornell Hospitality Report, 12(15), 6-11.
dc.relation.references/*ref*/Arnau, J., & Bono, R. (2008). Estudios longitudinales de medidas repetidas: Modelos de dise-o y análisis. Escritos De Psicología (Internet), 2(1), 32-41.
dc.relation.references/*ref*/Arnau-Gras, J. (2007). Estudios longitudinales de medidas repetidas. modelos de dise-o y de análisis. Avances En Medicin, 5, 9-26.
dc.relation.references/*ref*/Ayeh, J. K., Au, N., & Law, R. (2013). "Do we believe in TripAdvisor?" examining credibility perceptions and online travelers' attitude toward using user-generated content. Journal of Travel Research,. https://doi.org/10.1177/0047287512475217
dc.relation.references/*ref*/Baloglu, S., Erdem, M., Brewer, P., Mayer, K., Christodoulidou, N., Connolly, D. J., & Brewer, P. (2010). An examination of the transactional relationship between online travel agencies, travel meta sites, and suppliers. International Journal of Contemporary Hospitality Management, 22(7), 1048-1062. https://doi.org/10.1108/09596111011066671
dc.relation.references/*ref*/Bates, D., Mächler, M., Bolker, B., & Walker, S. (2014). Fitting linear mixed-effects models using lme4. arXiv Preprint arXiv:1406.5823,
dc.relation.references/*ref*/Beldona, S., & Kwansa, F. (2008). The impact of cultural orientation on perceived fairness over demand-based pricing. International Journal of Hospitality Management, 27(4), 594-603. https://doi.org/10.1016/j.ijhm.2007.07.024
dc.relation.references/*ref*/Berezina, K., Cobanoglu, C., Miller, B. L., & Kwansa, F. A. (2012). The impact of information security breach on hotel guest perception of service quality, satisfaction, revisit intentions and word-of-mouth. International Journal of Contemporary Hospitality Management, 24(7), 991-1010. https://doi.org/10.1108/09596111211258883
dc.relation.references/*ref*/Chen, Y., & Xie, J. (2008). Online consumer review: Word-of-mouth as a new element of marketing communication mix. Management Science, 54(3), 477-491. https://doi.org/10.1287/mnsc.1070.0810
dc.relation.references/*ref*/Cheung, C. M., Lee, M. K., & Rabjohn, N. (2008). The impact of electronic word-of-mouth: The adoption of online opinions in online customer communities. Internet Research, 18(3), 229-247. https://doi.org/10.1108/10662240810883290
dc.relation.references/*ref*/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
dc.relation.references/*ref*/Chun, R. (2005). Corporate reputation: Meaning and measurement. Basingstoke: Palgrave Macmillan.
dc.relation.references/*ref*/Clemons, E. K., Gao, G. G., & Hitt, L. M. (2006). When online reviews meet hyperdifferentiation: A study of the craft beer industry. Journal of Management Information Systems, 23(2), 149-171. https://doi.org/10.2753/MIS0742-1222230207
dc.relation.references/*ref*/Cohen, J. F., & Olsen, K. (2013). The impacts of complementary information technology resources on the service-profit chain and competitive performance of south african hospitality firms. International Journal of Hospitality Management, 34: 245-254. https://doi.org/10.1016/j.ijhm.2013.04.005
dc.relation.references/*ref*/Cortizo, J. C., Carrero, F. M., & Gómez, J. M. (2011). Introduction to the special issue: Mining social media. International Journal of Electronic Commerce, 15(3): 5-8. https://doi.org/10.2753/JEC1086-4415150301
dc.relation.references/*ref*/Craig, D. (2013). 8 estrategias clave para mejorar tu puntuación en TripAdvisor | TecnoHotel. Recuperado de http://www.tecnohotelnews.com/2013/09/8-estrategias-clave-para-mejorar-tu-puntuacion-en-tripadvisor/
dc.relation.references/*ref*/Davis, A., & Khazanchi, D. (2008). An empirical study of online word of mouth as a predictor for multi‐product category e‐commerce sales. Electronic Markets, 18(2), 130-141. https://doi.org/10.1080/10196780802044776
dc.relation.references/*ref*/Del Fresno, M. (2012). El consumidor social. reputación online y social media Editorial UOC.
dc.relation.references/*ref*/Denizci Guillet, B., & Law, R. (2010). Analyzing hotel star ratings on third-party distribution websites. International Journal of Contemporary Hospitality Management, 22(6), 797-813. https://doi.org/10.1108/09596111011063098
dc.relation.references/*ref*/Diana-Jens, P., & Rodríguez, A. (2015). La reputación online y su impacto en la política de precios de los hoteles. Cuadernos De Turismo, (36), 129-155. https://doi.org/10.6018/turismo.36.230911
dc.relation.references/*ref*/Dickinger, A. (2010). The trustworthiness of online channels for experience-and goal-directed search tasks. Journal of Travel Research,
dc.relation.references/*ref*/Fisher, H. (2016a). Is your hotel ready for millennials – and other device-savvy travelers? Sabre Hospitality Solutions Blog, Recuperado de http://sabrehospitality.com/resources/hotel-marketing-blogs/millennials-and-other-device-savvy-travelers
dc.relation.references/*ref*/Fisher, H. (2016b). Millennials de-mystified: Who they are, how they shop, why they book. (). Retrieved from http://www2.sabrehospitality.com/millennials
dc.relation.references/*ref*/Gretzel, U., & Yoo, K. H. (2008). Use and impact of online travel reviews. Information and Communication Technologies in Tourism 2008: 35-46. https://doi.org/10.1007/978-3-211-77280-5_4
dc.relation.references/*ref*/Grønflaten, Ø. (2009). Predicting travelers' choice of information sources and information channels. Journal of Travel Research, 48(2):230-244 https://doi.org/10.1177/0047287509332333
dc.relation.references/*ref*/Guacaran, A. (2016). 7 maneras de mejorar tu rendimiento en TripAdvisor. Recuperado de https://www.revinate.com/blog/2016/03/7-maneras-de-mejorar-tu-rendimiento-en-tripadvisor/
dc.relation.references/*ref*/Hernández, E., Fuentes, L., & Morini, S. (2012). Una aproximación a la reputación en línea de los establecimientos hoteleros espa-oles. Papers De Turisme, (52), 63-88.
dc.relation.references/*ref*/Hoffman, D. L., & Novak, T. P. (2012). Toward a deeper understanding of social media. Journal of Interactive Marketing, 26(2), 69-70. Recuperado de http://www.econis.eu/PPNSET?PPN=719146283, https://doi.org/10.1016/j.intmar.2012.03.001
dc.relation.references/*ref*/Hong, S., Thong, J. Y., Moon, J., & Tam, K. (2008). Understanding the behavior of mobile data services consumers. Information Systems Frontiers, 10(4), 431-445. https://doi.org/10.1007/s10796-008-9096-1
dc.relation.references/*ref*/Hsieh, Y. (2012). Hotel companies' environmental policies and practices: A content analysis of their web pages. International Journal of Contemporary Hospitality Management, 24(1), 97-121. https://doi.org/10.1108/095961112
dc.relation.references/*ref*/Instagram. (2016). Instagram. Recuperado de https://www.instagram.com/about/us/
dc.relation.references/*ref*/Jauhari, V., Dabas, S., & Manaktola, K. (2007). Managing reservations through online distribution channels: An insight into mid-segment hotels in india. International Journal of Contemporary Hospitality Management, 19(5), 388-396. https://doi.org/10.1108/09596110710757552
dc.relation.references/*ref*/Jun, S. H., Vogt, C. A., & MacKay, K. J. (2010). Online information search strategies: A focus on flights and accommodations. Journal of Travel & Tourism Marketing, 27(6), 579-595. https://doi.org/10.1080/10548408.2010.507151
dc.relation.references/*ref*/Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! the challenges and opportunities of social media. Business Horizons, 53(1), 59-68. https://doi.org/10.1016/j.bushor.2009.09.003
dc.relation.references/*ref*/Lee, J., Park, D., & Han, I. (2008). The effect of negative online consumer reviews on product attitude: An information processing view. Electronic Commerce Research and Applications, 7(3), 341-352. https://doi.org/10.1016/j.elerap.2007.05.004
dc.relation.references/*ref*/Leyland, A. H., & McLeod, A. (2000). Mortality in england and wales, 1979-1992: An introduction to multilevel modelling using MLwiN. Glasgow: MRC Social and Public Health Sciences Unit, Lipsman, A., Mudd, G., Rich, M., & Bruich, S. (2012). The power of "Like". Journal of Advertising Research, 52(1): 40-52.
dc.relation.references/*ref*/Li, X. R., Pan, B., Zhang, L. G., & Smith, W. W. (2009). The effect of online information search on image development: Insights from a mixed-methods study. Journal of Travel Research, 48(1):45-57 https://doi.org/10.1177/0047287508328659
dc.relation.references/*ref*/Liang, T. & Turban, E. (2011). Introduction to the special issue social commerce: A research framework for social commerce. International Journal of Electronic Commerce, 16(2): 5-14. doi:10.2753/JEC1086-4415160201
dc.relation.references/*ref*/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
dc.relation.references/*ref*/Madi, A., Brashear Alejandro, T., & Brashear Alejandro, T. (2016). Using values to segment virtual consumers on social networking sites. Marketing Intelligence & Planning, 34(5) https://doi.org/10.1108/MIP-11-2015-0223
dc.relation.references/*ref*/Martínez, M., Bernal García, J. J., & Mellinas, J. P. (2012). Los hoteles de la región de murcia ante las redes sociales y la reputación online. Revista De Análisis Turístico, (13), 1-10.
dc.relation.references/*ref*/Martínez, O., & Arango, P. (2012). El mobile marketing en colombia. su estado actual y proyección a-o 2012. Revista EAN, (73): 136-167.
dc.relation.references/*ref*/Morales, P. M., Agüera, F. O., & Cuadra, S. M. (2015). Análisis de las variables que influyen en la reputación online de las empresas turísticas. el caso de los hoteles de córdoba y granada. Gran Tour, Revista De Investigaciones Turísticas, (11): 103-120
dc.relation.references/*ref*/Murphy, H. C., & Chen, M. (2014). Online information sources used in hotel bookings examining relevance and recall. Journal of Travel Research, , 1-14. doi:0047287514559033
dc.relation.references/*ref*/MyHotel. (2016). Conoce a myHotel - Nosotros. Recuperado de https://myhotel.com.es/nosotros/
dc.relation.references/*ref*/O'Connor, P., & Murphy, J. (2008). Hotel yield management practices across multiple electronic distribution channels. Information Technology & Tourism, 10(2), 161-172. https://doi.org/10.3727/109830508784913103
dc.relation.references/*ref*/Olery. (2016). Olery - Travel & Hotel Data Specialist. Recuperado de http://www.olery.com/
dc.relation.references/*ref*/Park, D., & Kim, S. (2009). The effects of consumer knowledge on message processing of electronic word-of-mouth via online consumer reviews. Electronic Commerce Research and Applications, 7(4): 399-410. https://doi.org/10.1016/j.elerap.2007.12.001
dc.relation.references/*ref*/Persaud, A., & Azhar, I. (2012). Innovative mobile marketing via smartphones: Are consumers ready?. Marketing Intelligence & Planning, 30(4): 418-443. https://doi.org/10.1108/02634501211231883
dc.relation.references/*ref*/Pinheiro, P. & Bates, D. (2016). R: Linear Mixed-Effects Models. Recuperado de https://stat.ethz.ch/R-manual/R-devel/library/nlme/html/lme.html
dc.relation.references/*ref*/Ramendra Singh, D., Yavuz, R., & Toker, A. (2014). Location sharing on social networks: Implications for marketing. Marketing Intelligence & Planning, 32(5): 567-585. https://doi.org/10.1108/MIP-05-2013-0084
dc.relation.references/*ref*/Raudenbush, S. W. (2001). Comparing personal trajectories and drawing causal inferences from longitudinal data. Annual Review of Psychology, 52(1), 501-525. https://doi.org/10.1146/annurev.psych.52.1.501
dc.relation.references/*ref*/Resnick, P., Zeckhauser, R., Swanson, J., & Lockwood, K. (2006). The value of reputation on eBay: A controlled experiment. Experimental Economics, 9(2), 79-101. https://doi.org/10.1007/s10683-006-4309-2
dc.relation.references/*ref*/ReviewPro. (2015). Guía | Las 8 Claves para Mejorar tu Ranking en TripAdvisor. Recuperado de https://www.reviewpro.com/es/guia-estrategias-para-mejorar-ranking-tripadvisor-thanks/
dc.relation.references/*ref*/ReviewPro. (2016a). Building a Winning OTA Strategy for Your Hotel. Recuperado de https://www.reviewpro.com/optimize-hotel-performance-on-otas-thanks/
dc.relation.references/*ref*/ReviewPro. (2016b). ReviewPro. Gestión de Reputación para Hoteles. Recuperado de https://www.reviewpro.com/es/productos/gestion-de-reputacion-para-hoteles/
dc.relation.references/*ref*/Revinate. (2016). Revinate Hospitality Management Software. Recuperado de https://www.revinate.com/company/about/
dc.relation.references/*ref*/Rodríguez, A. A. (2007). Perspectiva de la construcción hotelera en el mediterrneo europeo. Anuario Jurídico Y Económico Escurialense, (40), 351-376.
dc.relation.references/*ref*/Ruffell, C. (2013). Crucial Ideas for Effective Hotel Marketing, ReKnown. Recuperado de http://www.reelmarketer.com/crucial-ideas-effective-hotel-marketing-reknown/
dc.relation.references/*ref*/Ruzic, D., Andrilic, B., & Ruzic, I. (2011). Web 2.0 promotion techniques in hospitality industry. International Journal of Management Cases, 13(4): 310-319. https://doi.org/10.5848/APBJ.2011.00141
dc.relation.references/*ref*/Sainaghi, R. (2011). RevPAR determinants of individual hotels: Evidences from milan. International Journal of Contemporary Hospitality Management, 23(3), 297-311. https://doi.org/10.1108/09596111111122497
dc.relation.references/*ref*/Sainz, R. C., & González, G. M. (2004). Aplicación de los modelos mixtos a un caso práctico de modelización del crecimiento y producción de las masas forestales. Cuadernos De La Sociedad Espa-ola De Ciencias Forestales, (18), 317-321.
dc.relation.references/*ref*/San Martín, S., López-Catalán, B., & Ramon-Jeronimo, M. A. (2012). Factors determining firms' perceived performance of mobile commerce. Industrial Management & Data Systems, 112(6), 946-963. https://doi.org/10.1108/02635571211238536
dc.relation.references/*ref*/Senecal, S., & Nantel, J. (2004). The influence of online product recommendations on consumers' online choices. Journal of Retailing, 80(2), 159-169. https://doi.org/10.1016/j.jretai.2004.04.001
dc.relation.references/*ref*/Seo, D., Ranganathan, C., & Babad, Y. (2008). Two-level model of customer retention in the US mobile telecommunications service market. Telecommunications Policy, 32(3): 182-196. https://doi.org/10.1016/j.telpol.2007.09.004
dc.relation.references/*ref*/Seoane, J. (2014). ¿Modelos mixtos (lineales)? una introducción para el usuario temeroso. ETOLOGUÍA, 24: 15-37
dc.relation.references/*ref*/Sigala, M. (2009). E-service quality and web 2.0: Expanding quality models to include customer participation and inter-customer support. The Service Industries Journal, 29(10), 1341-1358. https://doi.org/10.1080/02642060903026239
dc.relation.references/*ref*/Sparks, B. A., Perkins, H. E., & Buckley, R. (2013). Online travel reviews as persuasive communication: The effects of content type, source, and certification logos on consumer behavior. Tourism Management, 39, 1-9. https://doi.org/10.1016/j.tourman.2013.03.007
dc.relation.references/*ref*/SW Chan, E. (2013). Gap analysis of green hotel marketing. International Journal of Contemporary Hospitality Management, 25(7), 1017-1048. https://doi.org/10.1108/IJCHM-09-2012-0156
dc.relation.references/*ref*/Thakran, K., & Verma, R. (2013). The emergence of hybrid online distribution channels in travel, tourism and hospitality. Cornell Hospitality Quarterly, 54(3), 240-247. https://doi.org/10.1177/1938965513492107
dc.relation.references/*ref*/Torres, E., & Kline, S. (2013). From customer satisfaction to customer delight: Creating a new standard of service for the hotel industry. International Journal of Contemporary Hospitality Management, 25(5), 642-659. https://doi.org/10.1108/IJCHM-Dec-2011-0228
dc.relation.references/*ref*/TripAdvisor. (2016). Acerca de TripAdvisor. Recuperado de https://www.tripadvisor.es/PressCenter-c6-About_Us.html
dc.relation.references/*ref*/TrustYou. (2016). TrustYou. Información general ·. Recuperado de http://www.trustyou.com/informacin-general?lang=es
dc.relation.references/*ref*/Twitter. (2016). Red Social Twitter. Recuperado de https://about.twitter.com/es/company
dc.relation.references/*ref*/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
dc.relation.references/*ref*/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. Journal of Computer‐Mediated Communication, 17(1): 19-38. https://doi.org/10.1111/j.1083-6101.2011.01551.x
dc.relation.references/*ref*/Williams, D. L., Crittenden, V. L., Keo, T., & McCarty, P. (2012). The use of social media: An exploratory study of usage among digital natives. Journal of Public Affairs, 12(2): 127-136. doi:10.1002/pa.1414 https://doi.org/10.1002/pa.1414
dc.relation.references/*ref*/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
dc.relation.references/*ref*/Ye, Q., Law, R., Gu, B., & Chen, W. (2011). The influence of user-generated content on traveler behavior: An empirical investigation on the effects of e-word-of-mouth to hotel online bookings. Computers in Human Behavior, 27(2), 634-639. https://doi.org/10.1016/j.chb.2010.04.014
dc.relation.references/*ref*/YouTube. (2016). YouTube. Recuperado de https://www.youtube.com/yt/press/es/statistics.html
dc.relation.references/*ref*/Zhang, Z., Ye, Q., & Law, R. (2011). Determinants of hotel room price: An exploration of travelers' hierarchy of accommodation needs. International Journal of Contemporary Hospitality Management, 23(7), 972-981. https://doi.org/10.1108/09596111111167551
dc.relation.references/*ref*/Zhu, F., & Zhang, X. (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/jmkg.74.2.133
dc.subject.proposalSocial networkseng
dc.subject.proposalonline reputationeng
dc.subject.proposalguest satisfactioneng
dc.subject.proposaltourismeng
dc.subject.proposalRevPAReng
dc.subject.proposalRedes socialesspa
dc.subject.proposalreputación onlinespa
dc.subject.proposalsatisfacción del huéspedspa
dc.subject.proposalturismospa
dc.subject.proposalrevpar.spa
dc.subject.proposalReputação on-linepor
dc.subject.proposalsatisfação do hóspedepor
dc.subject.proposalturismopor
dc.subject.proposalRevPARpor


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