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dc.contributor.authorMajó, Joaquim
dc.contributor.authorMoya, Daissy
dc.contributor.authorVall-llosera, Laura
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
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
dc.publisherUniversidad Militar Nueva Granadaspa
dc.rightsDerechos de autor 2017 Revista Facultad de Ciencias Económicasspa
dc.sourceRevista Facultad de Ciencias Económicas; Vol. 26 Núm. 1 (2018); 147-162spa
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
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dc.subject.proposalSocial networkseng
dc.subject.proposalonline reputationeng
dc.subject.proposalguest satisfactioneng
dc.subject.proposalRedes socialesspa
dc.subject.proposalreputación onlinespa
dc.subject.proposalsatisfacción del huéspedspa
dc.subject.proposalReputação on-linepor
dc.subject.proposalsatisfação do hóspedepor

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