Destination image in virtual social networks
Since destination image is an important construct for tourism research, cities and regions try to understand and to develop a positive image in order to guarantee the number of visitors and the tourism revenue. The main objective of this article was to develop a model of evaluation of destination im...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2019
- Institución:
- Universidad de Medellín
- Repositorio:
- Repositorio UDEM
- Idioma:
- spa
eng
- OAI Identifier:
- oai:repository.udem.edu.co:11407/5420
- Acceso en línea:
- http://hdl.handle.net/11407/5420
https://doi.org/10.22395/angr.v17n34a2
- Palabra clave:
- Cultural tourism
Urban areas
Leisure
Image formation
Photography
Tourism research
Marketing techniques
Virtual social networks
Turismo
Cidades
Lazer
Formação de imagens
Fotografia
Investigação em turismo
Técnicas de marketing
Redes sociais
Turismo
Ciudades
Ocio
Formación de la imagen
Fotografía
Investigación en turismo
Técnicas de marketing
Redes sociales virtuales
- Rights
- License
- http://creativecommons.org/licenses/by-nc/4.0
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|
dc.title.eng.fl_str_mv |
Destination image in virtual social networks |
dc.title.por.fl_str_mv |
Imagem de destino em redes sociais virtuais |
dc.title.spa.fl_str_mv |
Imagen de destino en redes sociales virtuales |
title |
Destination image in virtual social networks |
spellingShingle |
Destination image in virtual social networks Cultural tourism Urban areas Leisure Image formation Photography Tourism research Marketing techniques Virtual social networks Turismo Cidades Lazer Formação de imagens Fotografia Investigação em turismo Técnicas de marketing Redes sociais Turismo Ciudades Ocio Formación de la imagen Fotografía Investigación en turismo Técnicas de marketing Redes sociales virtuales |
title_short |
Destination image in virtual social networks |
title_full |
Destination image in virtual social networks |
title_fullStr |
Destination image in virtual social networks |
title_full_unstemmed |
Destination image in virtual social networks |
title_sort |
Destination image in virtual social networks |
dc.contributor.affiliation.none.fl_str_mv |
Zucco, Fabrícia Durieux; Universidade Regional de Blumenau Falaster, Christian; Universidade Regional de Blumenau Gadotti dos Anjos, Sara Joana; Universidade do Vale do Itajaí Kraus, Camila Belli; Universidade do Vale do Itajaí |
dc.subject.eng.fl_str_mv |
Cultural tourism Urban areas Leisure Image formation Photography Tourism research Marketing techniques Virtual social networks |
topic |
Cultural tourism Urban areas Leisure Image formation Photography Tourism research Marketing techniques Virtual social networks Turismo Cidades Lazer Formação de imagens Fotografia Investigação em turismo Técnicas de marketing Redes sociais Turismo Ciudades Ocio Formación de la imagen Fotografía Investigación en turismo Técnicas de marketing Redes sociales virtuales |
dc.subject.por.fl_str_mv |
Turismo Cidades Lazer Formação de imagens Fotografia Investigação em turismo Técnicas de marketing Redes sociais |
dc.subject.spa.fl_str_mv |
Turismo Ciudades Ocio Formación de la imagen Fotografía Investigación en turismo Técnicas de marketing Redes sociales virtuales |
description |
Since destination image is an important construct for tourism research, cities and regions try to understand and to develop a positive image in order to guarantee the number of visitors and the tourism revenue. The main objective of this article was to develop a model of evaluation of destination image through the use of pictures shared in virtual social networks. We propose that the image of a destination can be analyzed through the way tourists picture the destination in virtual social networks. Hence, we have developed a measurement to evaluate destination image based on pictures posted on Instagram, and we made a model to analyze destination image based on pictures shared in virtual social network. Our method was composed by an analysis of 1,500 pictures of three important destinations in Brazil (Foz do Iguaçú, Rio de Janeiro, and Salvador). Our results contribute to tourism research by indicating that it is possible to determine the main characteristics of a destination by the pictures in virtual social networks, and by providing a 5-dimension model to do so. This study contributes to tourism research in two venues. First, we propose a method for evaluating destination image based on pictures posted in social media rather than the usual questionnaires. This may help scholars by providing an alternative way of evaluating destination image without recall, social desirability and non-response bias. And secondly, this study also contributes to practitioners and public policy in tourism by showing which characteristics of a destination image are more prominent to the destination image, based on virtual social networks. |
publishDate |
2019 |
dc.date.accessioned.none.fl_str_mv |
2019-10-04T18:45:24Z |
dc.date.available.none.fl_str_mv |
2019-10-04T18:45:24Z |
dc.date.none.fl_str_mv |
2019-06-14 |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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info:eu-repo/semantics/article |
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1692-2522 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/11407/5420 |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.22395/angr.v17n34a2 |
dc.identifier.eissn.none.fl_str_mv |
2248-4086 |
dc.identifier.reponame.spa.fl_str_mv |
reponame:Repositorio Institucional Universidad de Medellín |
dc.identifier.instname.spa.fl_str_mv |
instname:Universidad de Medellín |
identifier_str_mv |
1692-2522 2248-4086 reponame:Repositorio Institucional Universidad de Medellín instname:Universidad de Medellín |
url |
http://hdl.handle.net/11407/5420 https://doi.org/10.22395/angr.v17n34a2 |
dc.language.iso.none.fl_str_mv |
spa eng |
language |
spa eng |
dc.relation.none.fl_str_mv |
https://revistas.udem.edu.co/index.php/anagramas/article/view/2525 |
dc.relation.ispartof.none.fl_str_mv |
Anagramas Rumbos y Sentidos de la Comunicación |
dc.relation.ispartofseries.none.fl_str_mv |
Anagramas Rumbos y Sentidos de la Comunicación, Universidad de Medellín; Vol. 17, Núm. 34 (2019) |
dc.relation.citationvolume.none.fl_str_mv |
17 |
dc.relation.citationissue.none.fl_str_mv |
34 |
dc.relation.citationstartpage.none.fl_str_mv |
27 |
dc.relation.citationendpage.none.fl_str_mv |
43 |
dc.relation.references.none.fl_str_mv |
Amaro, S., Duarte, P., & Henriques, C. (2016). Travelers’ use of social media: A clustering approach. Annals of Tourism Research, 59(1), 1-15. Doi: 10.1016/j.annals.2016.03.007 Armstrong, J., & Overton, T. (1977). Estimating nonresponse bias in mail surveys. Journal of Marketing Research, 14(3), 396-402. Doi: 10.2307/3150783 Baloglu, S., & McCleary, K. (1999). A model of destination image formation. Annals of Tourism Research, 26(4), 868-897. Beerli, A., & Martin, J. D. (2004). Factors influencing destination image. Annals of Tourism Research, 31(3), 657-681. Doi: 10.1016/j.annals.2004.01.010 Cabiddu, F., De Carlo, M., & Piccoli, G. (2014). Social media affordances: Enabling customer engagement. Annals of Tourism Research, 48, 175-192. Chagas, M. M. das. (2008). Imagem de destinos turísticos: Uma discussão teórica da literatura especializada. Turismo, Visão e Ação, 10(3), 435-455. Dwyer, L., Edwards, D., Mistilis, N., Roman, C., & Scott, N. (2009). Destination and enterprise management for a tourism future. Tourism Management, 30(1), 63-74. Doi: 10.1016/j.tourman.2008.04.002 Echtner, C., & Ritchie, J. (1993). The measurement of destination image: An empirical assessment. Journal of Travel Research, 31(4), 3-13. Doi: 10.1177/004728759303100402 Fisher, R. (1993). Social desirability bias and the validity of indirect questioning. Journal of Consumer Research, 20(2), 303-315. Doi: 10.1086/209351 Gallarza, M. G., Saura, I. G., & García, H. C. (2002). Destination image: Towards a conceptual framework. Annals of Tourism Research, 29(1), 56-78. Doi: 10.1016/S0160-7383(01)00031-7 Govers, R., Go, F. M., & Kumar, K. (2007). Virtual destination image a new measurement approach. Annals of Tourism Research, 34(4), 977-997. Doi: 10.1016/j.annals.2007.06.001 Henseler, J., Ringle, C. & Sinkovics, R. (2009). The use of partial least squares path modeling in international marketing. Advances in International Marketing. 20(1), 277-319. Hofacker, C. F., & Belanche, D. (2016). Eight social media challenges for marketing managers. Spanish Journal of Marketing, 20(2), 73-80. Doi: 10.1016/j.sjme.2016.07.003 Hunter, W. C. (2016). The social construction of tourism online destination image: A comparative semiotic analysis of the visual representation of Seoul. Tourism Management, 54(1), 221-229. Doi: 10.1016/j.tourman.2015.11.012 Kock, F., Josiassen, A., & Assaf, A. G. (2016). Advancing destination image: The destination content model. Annals of Tourism Research, 61(1), 28-44. Doi: 10.1016/j.annals.2016.07.003 Leal, S. (2002). A relevância da imagem para o processo de escolha de destinações. Revista Eletrônica de Turismo, 1(2), 1-6. Lee, E., Lee, J., Moon, J., & Sung, Y. (2015). Pictures speak louder than words: Motivations for using Instagram. Cyberpsychology, Behavior, and Social Networking, 18(9), 552-556. Doi: 10.1089/cyber.2015.0157 Leung, D., Law, R., Van Hoof, H., & Buhalis, D. (2013). Social media in tourism and hospitality: A literature review. Journal of Travel & Tourism Marketing, 30(1), 3-22. Doi: 10.1080/10548408.2013.750919 Lyu, S. O. (2016). Travel selfies on social media as objectified self-presentation. Tourism Management, 54(1), 185-195. Doi: 10.1016/j.tourman.2015.11.001 Martín-Santana, J. D., Beerli-Palacio, A., & Nazzareno, P. A. (2017). Antecedents and consequences of destination image gap. Annals of Tourism Research, 62(1), 13-25. Doi: 10.1016/j.annals.2016.11.001 Munar, A. M., & Jacobsen, J. K. S. (2014). Motivations for sharing tourism experiences through social media. Tourism Management, 43(1), 46-54. Doi: 10.1016/j.tourman.2014.01.012 Oliveira, E., & Panyik, E. (2015). Content, context and co-creation: Digital challenges in destination branding with references to Portugal as a tourist destination. Journal of Vacation Marketing, 21(1), 53-74. Doi: 10.1177/1356766714544235 Pan, B., & Li, X. R. (2011). The long tail of destination image and online marketing. Annals of Tourism Research, 38(1), 132-152. Doi: 10.1016/j.annals.2010.06.004. Price, R. (2018). Instagram just reached 1 billion users. Retrieved June 20, 2018, from https://www.businessinsider.com.au/instagram-monthly-active-users-1-billion-2018-6 Pike, S. (2002). Destination image analysis—a review of 142 papers from 1973 to 2000. Tourism Management, 23(5), 541-549. Doi: 10.1016/S0261-5177(02)00005-5 Rezende-Parker, A. M., Morrison, A. M., & Ismail, J. A. (2003). Dazed and confused? An exploratory study of the image of Brazil as a travel destination. Journal of Vacation Marketing, 9(3) 243-259 Secom. Pesquisa Brasileira de Mídia 2016. Recuperado 19 de novembro de 2018 de: http://pesquisademidia.gov.br/files/E-Book_PBM_2016.pdf. Viol, M., Todd, L., Theodoraki, E., & Anastasiadou, C. (2018). The role of iconic-historic commemorative events in event tourism: Insights from the 20 th and 25 th anniversaries of the fall of the Berlin Wall. Tourism Management, 69(1), 246-262. Doi: 10.1016/j.tourman.2018.06.018 Wang, X., Huang, Y., Li, X., & Peng, L. (2016). A moderated mediation model of sharing travel experience on social media: Motivations and face orientations in Chinese culture. Journal of China Tourism Research, 12(1), 42-64. Xiang, Z., Du, Q., Ma, Y., & Fan, W. (2017). A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism. Tourism Management, 58(1), 51-65. Doi: 10.1016/j.tourman.2016.10.001 Yoo, K. H., & Gretzel, U. (2016). Use and Creation of Social Media by. Social media in travel, tourism and hospitality: Theory, practice and cases, 189. Zandavalle, A. C. In: Silva, T.; Stabile, M. (2016) Monitoramento e Pesquisa em Mídias Sociais: Metodologias, aplicações e inovações. Análise de redes em Mídias Sociais. São Paulo: Uva Limão, p. 237-260, 2016. Zeng, B., & Gerritsen, R. (2014). What do we know about social media in tourism? A review. Tourism Management Perspectives, 10(1), 27-36. Doi: 10.1016/j.tmp.2014.01.001. |
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2019-06-142019-10-04T18:45:24Z2019-10-04T18:45:24Z1692-2522http://hdl.handle.net/11407/5420https://doi.org/10.22395/angr.v17n34a22248-4086reponame:Repositorio Institucional Universidad de Medellíninstname:Universidad de MedellínSince destination image is an important construct for tourism research, cities and regions try to understand and to develop a positive image in order to guarantee the number of visitors and the tourism revenue. The main objective of this article was to develop a model of evaluation of destination image through the use of pictures shared in virtual social networks. We propose that the image of a destination can be analyzed through the way tourists picture the destination in virtual social networks. Hence, we have developed a measurement to evaluate destination image based on pictures posted on Instagram, and we made a model to analyze destination image based on pictures shared in virtual social network. Our method was composed by an analysis of 1,500 pictures of three important destinations in Brazil (Foz do Iguaçú, Rio de Janeiro, and Salvador). Our results contribute to tourism research by indicating that it is possible to determine the main characteristics of a destination by the pictures in virtual social networks, and by providing a 5-dimension model to do so. This study contributes to tourism research in two venues. First, we propose a method for evaluating destination image based on pictures posted in social media rather than the usual questionnaires. This may help scholars by providing an alternative way of evaluating destination image without recall, social desirability and non-response bias. And secondly, this study also contributes to practitioners and public policy in tourism by showing which characteristics of a destination image are more prominent to the destination image, based on virtual social networks.Como a imagem de destino é um importante construto para a pesquisa em turismo, as cidades e regiões tentam desenvolver uma imagem positiva para garantir o número de visitantes e a receita. O objetivo deste artigo é desenvolver um modelo de avaliação de imagem de destino através do uso de imagens compartilhadas em redes sociais virtuais. Propomos que a imagem de um destino possa ser analisada pela maneira como os turistas imaginam o destino em redes sociais virtuais. Assim, desenvolvemos uma medida para avaliar a imagem de destino com base em fotos publicadas no Instagram. Nosso método foi composto por uma análise de 1500 fotos de três importantes destinos no Brasil (Foz do Iguaçu, Rio de Janeiro e Salvador). Nossos resultados contribuem para a pesquisa em turismo, indicando que é possível determinar as principais características de um destino pelas imagens em redes sociais virtuais e fornecendo um modelo de 5 dimensões para fazê-lo. Este estudo contribui para a pesquisa em turismo em dois locais: propomos um método para avaliar a imagem de destino com base em imagens postadas em mídias sociais, em vez dos questionários usuais. Isso pode ajudar os estudiosos, fornecendo uma maneira alternativa de avaliar a imagem de destino sem recordação, desejo social e viés de não-resposta. Este estudo também contribui para os profissionais e políticas públicas em turismo, mostrando quais características de uma imagem de destino são mais proeminentes para a imagem de destino com base em redes sociais virtuais.Dado que la imagen de destino es una construcción importante para la investigación turística, las ciudades y regiones intentan entender y desarrollar una imagen positiva para garantizar el número de visitantes y los ingresos del turismo. El objetivo principal de este artículo es desarrollar un modelo de evaluación de la imagen de destino mediante el uso de imágenes compartidas en redes sociales virtuales. Proponemos que la imagen de un destino se pueda analizar a través de la forma en que los turistas representan el destino en las redes sociales virtuales. Por lo tanto, desarrollamos una medida para evaluar la imagen de destino basada en imágenes publicadas en Instagram y desarrollamos un modelo para analizar la imagen de destino basada en imágenes compartidas en una red social virtual. Nuestro método fue compuesto por un análisis de 1500 imágenes de tres destinos importantes en Brasil (Foz do Iguaçú, Río de Janeiro y Salvador). Nuestros resultados contribuyen a la investigación turística en tanto indican que es posible determinar las características principales de un destino por las imágenes en las redes sociales virtuales, y proporcionan un modelo de cinco dimensiones para hacerlo. Este estudio contribuye a la investigación turística en dos espacios. Por un lado, proponemos un método para evaluar la imagen de destino basada en imágenes publicadas en las redes sociales en lugar de los cuestionarios habituales; esto puede ayudar a los académicos al proporcionar una forma alternativa de evaluar la imagen de destino sin recordar la conveniencia social y el sesgo de no respuesta. Y por otro lado, este estudio también resulta provechoso para los profesionales y las políticas públicas en turismo al mostrar qué características de una imagen de destino son más prominentes a la imagen de destino basada en redes sociales virtuales.https://revistas.udem.edu.co/index.php/anagramas/article/view/2525application/pdfPDFp. 27-43ElectrónicospaengUniversidad de MedellínFacultad de Comunicaciónhttps://revistas.udem.edu.co/index.php/anagramas/article/view/2525Anagramas Rumbos y Sentidos de la ComunicaciónAnagramas Rumbos y Sentidos de la Comunicación, Universidad de Medellín; Vol. 17, Núm. 34 (2019)17342743Amaro, S., Duarte, P., & Henriques, C. (2016). Travelers’ use of social media: A clustering approach. Annals of Tourism Research, 59(1), 1-15. Doi: 10.1016/j.annals.2016.03.007Armstrong, J., & Overton, T. (1977). Estimating nonresponse bias in mail surveys. Journal of Marketing Research, 14(3), 396-402. Doi: 10.2307/3150783Baloglu, S., & McCleary, K. (1999). A model of destination image formation. Annals of Tourism Research, 26(4), 868-897.Beerli, A., & Martin, J. D. (2004). Factors influencing destination image. Annals of Tourism Research, 31(3), 657-681. Doi: 10.1016/j.annals.2004.01.010Cabiddu, F., De Carlo, M., & Piccoli, G. (2014). Social media affordances: Enabling customer engagement. Annals of Tourism Research, 48, 175-192.Chagas, M. M. das. (2008). Imagem de destinos turísticos: Uma discussão teórica da literatura especializada. Turismo, Visão e Ação, 10(3), 435-455.Dwyer, L., Edwards, D., Mistilis, N., Roman, C., & Scott, N. (2009). Destination and enterprise management for a tourism future. Tourism Management, 30(1), 63-74. Doi: 10.1016/j.tourman.2008.04.002Echtner, C., & Ritchie, J. (1993). The measurement of destination image: An empirical assessment. Journal of Travel Research, 31(4), 3-13. Doi: 10.1177/004728759303100402Fisher, R. (1993). Social desirability bias and the validity of indirect questioning. Journal of Consumer Research, 20(2), 303-315. Doi: 10.1086/209351Gallarza, M. G., Saura, I. G., & García, H. C. (2002). Destination image: Towards a conceptual framework. Annals of Tourism Research, 29(1), 56-78. Doi: 10.1016/S0160-7383(01)00031-7Govers, R., Go, F. M., & Kumar, K. (2007). Virtual destination image a new measurement approach. Annals of Tourism Research, 34(4), 977-997. Doi: 10.1016/j.annals.2007.06.001Henseler, J., Ringle, C. & Sinkovics, R. (2009). The use of partial least squares path modeling in international marketing. Advances in International Marketing. 20(1), 277-319.Hofacker, C. F., & Belanche, D. (2016). Eight social media challenges for marketing managers. Spanish Journal of Marketing, 20(2), 73-80. Doi: 10.1016/j.sjme.2016.07.003Hunter, W. C. (2016). The social construction of tourism online destination image: A comparative semiotic analysis of the visual representation of Seoul. Tourism Management, 54(1), 221-229. Doi: 10.1016/j.tourman.2015.11.012Kock, F., Josiassen, A., & Assaf, A. G. (2016). Advancing destination image: The destination content model. Annals of Tourism Research, 61(1), 28-44. Doi: 10.1016/j.annals.2016.07.003Leal, S. (2002). A relevância da imagem para o processo de escolha de destinações. Revista Eletrônica de Turismo, 1(2), 1-6.Lee, E., Lee, J., Moon, J., & Sung, Y. (2015). Pictures speak louder than words: Motivations for using Instagram. Cyberpsychology, Behavior, and Social Networking, 18(9), 552-556. Doi: 10.1089/cyber.2015.0157Leung, D., Law, R., Van Hoof, H., & Buhalis, D. (2013). Social media in tourism and hospitality: A literature review. Journal of Travel & Tourism Marketing, 30(1), 3-22. Doi: 10.1080/10548408.2013.750919Lyu, S. O. (2016). Travel selfies on social media as objectified self-presentation. Tourism Management, 54(1), 185-195. Doi: 10.1016/j.tourman.2015.11.001Martín-Santana, J. D., Beerli-Palacio, A., & Nazzareno, P. A. (2017). Antecedents and consequences of destination image gap. Annals of Tourism Research, 62(1), 13-25. Doi: 10.1016/j.annals.2016.11.001Munar, A. M., & Jacobsen, J. K. S. (2014). Motivations for sharing tourism experiences through social media. Tourism Management, 43(1), 46-54. Doi: 10.1016/j.tourman.2014.01.012Oliveira, E., & Panyik, E. (2015). Content, context and co-creation: Digital challenges in destination branding with references to Portugal as a tourist destination. Journal of Vacation Marketing, 21(1), 53-74. Doi: 10.1177/1356766714544235Pan, B., & Li, X. R. (2011). The long tail of destination image and online marketing. Annals of Tourism Research, 38(1), 132-152. Doi: 10.1016/j.annals.2010.06.004.Price, R. (2018). Instagram just reached 1 billion users. Retrieved June 20, 2018, from https://www.businessinsider.com.au/instagram-monthly-active-users-1-billion-2018-6Pike, S. (2002). Destination image analysis—a review of 142 papers from 1973 to 2000. Tourism Management, 23(5), 541-549. Doi: 10.1016/S0261-5177(02)00005-5Rezende-Parker, A. M., Morrison, A. M., & Ismail, J. A. (2003). Dazed and confused? An exploratory study of the image of Brazil as a travel destination. Journal of Vacation Marketing, 9(3) 243-259Secom. Pesquisa Brasileira de Mídia 2016. Recuperado 19 de novembro de 2018 de: http://pesquisademidia.gov.br/files/E-Book_PBM_2016.pdf.Viol, M., Todd, L., Theodoraki, E., & Anastasiadou, C. (2018). The role of iconic-historic commemorative events in event tourism: Insights from the 20 th and 25 th anniversaries of the fall of the Berlin Wall. Tourism Management, 69(1), 246-262. 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Doi: 10.1016/j.tmp.2014.01.001.http://creativecommons.org/licenses/by-nc/4.0http://purl.org/coar/access_right/c_abf2Anagramas Rumbos y Sentidos de la Comunicación; Vol. 17 Núm. 34 (2019): Enero-Junio; 27-43Cultural tourismUrban areasLeisureImage formationPhotographyTourism researchMarketing techniquesVirtual social networksTurismoCidadesLazerFormação de imagensFotografiaInvestigação em turismoTécnicas de marketingRedes sociaisTurismoCiudadesOcioFormación de la imagenFotografíaInvestigación en turismoTécnicas de marketingRedes sociales virtualesDestination image in virtual social networksImagem de destino em redes sociais virtuaisImagen de destino en redes sociales virtualesZucco, Fabrícia Durieux; Universidade Regional de BlumenauFalaster, Christian; Universidade Regional de BlumenauGadotti dos Anjos, Sara Joana; Universidade do Vale do ItajaíKraus, Camila Belli; Universidade do Vale do ItajaíZucco, Fabrícia DurieuxFalaster, ChristianGadotti dos Anjos, Sara JoanaKraus, Camila BelliComunidad Universidad de MedellínLat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degreesLong: 075 36 00 W degrees minutes Long: -75.6000 decimal degreesMedellíninfo:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_2df8fbb1ORIGINALAnagramas_338.pdfAnagramas_338.pdfArtículoapplication/pdf943399http://repository.udem.edu.co/bitstream/11407/5420/1/Anagramas_338.pdf831924e0975f30965d308bec43c9831cMD51Anagramas_338_infografia_esp.pdfAnagramas_338_infografia_esp.pdfInfografía en españolapplication/pdf2290562http://repository.udem.edu.co/bitstream/11407/5420/2/Anagramas_338_infografia_esp.pdf02468fdc49fe79788570e93219a5d5d7MD52Anagramas_338_infografia_ing.pdfAnagramas_338_infografia_ing.pdfInfografía en inglésapplication/pdf2291301http://repository.udem.edu.co/bitstream/11407/5420/3/Anagramas_338_infografia_ing.pdf4003f1671d5de2d01e69ec2fa35fd5e5MD53THUMBNAILAnagramas_338.pdf.jpgAnagramas_338.pdf.jpgIM Thumbnailimage/jpeg7637http://repository.udem.edu.co/bitstream/11407/5420/4/Anagramas_338.pdf.jpgeaf71f4ffb4ce66787cba953c05726f0MD54Anagramas_338_infografia_esp.pdf.jpgAnagramas_338_infografia_esp.pdf.jpgIM Thumbnailimage/jpeg13609http://repository.udem.edu.co/bitstream/11407/5420/5/Anagramas_338_infografia_esp.pdf.jpgdff1e911d4c26344d4c0473b69c9c231MD55Anagramas_338_infografia_ing.pdf.jpgAnagramas_338_infografia_ing.pdf.jpgIM Thumbnailimage/jpeg13534http://repository.udem.edu.co/bitstream/11407/5420/6/Anagramas_338_infografia_ing.pdf.jpg97ae2f4f5ab6dd20ef407c31f5c0017eMD5611407/5420oai:repository.udem.edu.co:11407/54202019-11-13 23:00:38.521Repositorio Institucional Universidad de Medellinrepositorio@udem.edu.co |