Consumer behavior and intention to purchase hotel services: influence when watching videos on the internet
DOI:
https://doi.org/10.5585/podium.v9i2.15905Keywords:
Digital Marketing, Buy intention, Hotel services, Videos.Abstract
Objective of the study: Analyze consumer behavior in the process of purchasing tourist hotel services when watching videos on the internet.
Methodology / approach: It was used the model proposed by Yang, Huang, Yang and Yang (2017), which includes consumer attitudes towards web advertisements. This is a quantitative approach study, in which data were analyzed by confirmatory factor analysis and correlation matrix using the Statistical Package for Social Sciences Software, version 22.0.
Originality / Relevance: Although studies increasingly focus on the use of videos in the context of tourism, little has been analyzed about the impact of them on the industry. This study broadens the research by Silva et al. (2018), in which it was investigated the use of videos in the context of hotels from the managers 'point of view, and proposes a new approach from the consumers' perception.
Main results: Informativity and Entertainment were the variables that most positively related. On the other hand, Irritation was negatively correlated with all dimensions. In addition, the study confirms that the ability of the viewer to enter the Stream during the display of a video, contributes to both the intention and the purchase behavior.
Theoretical / Methodological Contributions: It fills the academic gap regarding research on consumer behavior and the use of digital marketing in the hotel sector through online videos, and suggests that hotel managers increasingly invest in these mechanisms to improve their internet marketing.
Downloads
References
Administradores. (2017). Estudo aponta as tendências do mercado para os próximos 10 anos. Recuperado em 28 de abril, 2019, de https://administradores.com.br/noticias/estudo-aponta-as-tendencias-do-mercado-para-os-proximos-10-anos.
Amir, A. F., Pennington-cinzento, L., Barbe, D. & Hanafiah, M. H. M. (2018). Exploring National Tourism Organizations (NTOs): use of YouTube to communicate information on destination safety and security, International Jounal of Academic Research in Business & Social Sciences, 8 (16), 247-266.
Berthon, P., Pitt, L. & DesAutels, P. (2011). Unveiling videos: consumer generated ads as qualitative inquiry, Psychology & Marketing, 28(10), 1044-1060.
Brackett, L.K., & Carr, B.N. (2001). Cyberspace advertising vs other media: consumer vs mature student attitudes, Journal of Advertising Research, 41(5), 23-32.
Brightcove (2018). Video Marketing Survey. Analyzing the impact that video content has consumers´ buying decisions. YouGov Survey. Recuperado em 11 de julho, 2020 de https://investor.brightcove.com/news-releases/news-release-details/new-research-brightcove-finds-video-content-impacts-product-and.
Csikszentmihalyi, M. (1997). Finding flow. New York: Basic Books.
Corrar, L. J., Paulo, E. & Dias Filho, J. M. (2014). Análise multivariada para os cursos de administração, ciências contábeis e economia. São Paulo: Atlas.
Dencker, A. F M. (2000). Métodos e técnicas de pesquisa em turismo. 2 ed. São Paulo: Futura.
Díaz Arias, R. (2009). El vídeo en el ciberespacio: usos y lenguaje. Revista Científica de Educomunicació, 33, 63-71.
Ducoffe, R. H. (1996). Advertising value and advertising on the web, Journal of Advertising Research, 36(5), 21-35.
Valor Econômico. (2019). Classes A e B voltam a crescer e atingem 14,4% da população. Recuperado em 12 de julho de 2020 de https://valor.globo.com/brasil/noticia/2019/10/29/classes-a-e-b-voltam-a-crescer-e-atingem-144-da-populacao.ghtml
E-Marketer. (2019). Social vídeo ad spending will grow 44% by 2021: what’s driving marketers to invest in social video. Recuperado em 28 de abril, 2019 de https://www.emarketer.com/content/q1-2019-digital-video-trends.
Erkan, I. & Evans, C. (2016). The influence of eWOM in social media on consumers’ purchase intentions: an extended approach to information adoption, Computers in Human Behavior, 61, 47-55.
Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley.
Galbraith, J. K. & Crook, A. (1958). The affluent society. Boston: Houghton Mifflin.
Gao, Y. & Koufaris, M. (2006). Perceptual antecedents of user attitude in electronic commerce, Acm Sigmis Database: The Database for Advances in Information Systems, 37 (2). 42-50.
Guimarães, A S. & Borges, M P. (2008). E-turismo: internet e negócios do turismo. São Paulo: Cengage Learning.
Hair Jr., J. F., Anderson, R. E. & Black, W. C. (2009). Análise multivariada de dados. 6ª ed. Porto Alegre: Bookman.
Hora, H. R., Monteiro, G. T. R. & Arica, J. (2010). Confiabilidade em questionários para qualidade: um estudo com o coeficiente alfa de cronbach, Produto & Produção, 11(2), 85-103.
Hsu, C. L. & Lu, H. P. (2004). Why do people play on-line games? an extended TAM with social influences and flow experience, Information & Management, 41(7), 853-868.
Koufaris, M. (2002). Applying the technology acceptance model and flow theory to online consumer behavior, Information Systems Research, 13(2), 205-223.
Litvin, S. W., Goldsmith, R. E., & Pan, B. (2008). Electronic word-of-mouth in hospitality and tourism management. Tourism Management, 29 (3), 458-468.
Litvin, S. W., Goldsmith, R. E., & Pan, B. (2018). A retrospective view of electronic word-of-mouth in hospitality and tourism management. International Journal of Contemporary Hospitality Management, 30(1), 313–325.
Mendes-Filho, L., Mills, A. M., Tan, F. B. & Milne, S. (2018). Empowering the traveler: an examination of the impact of user-generated content on travel planning, Journal of Travel & Tourism Marketing, 35(4), 425-436.
Mendes Filho, L. (2014). Empowerment in the context of User-Generated Content in the Travel Industry: A research model proposal. El Periplo Sustentable, 27, 4-20.
McQuail, D. (2010). McQuail's Mass Communication Theory. Sage Publications.
Murillo, E., Merino, M. & Núñez, A. (2016). The advertising value of Twitter ads: a study among mexican millennials, Review of Business Management, 18(61), 436-456.
Nakamura, J., & Csikszentmihalyi, M. (2009). The concept of flow. In Snyder, C. R., & Lopez, S. J. (Ed.). Oxford handbook of positive psychology. Oxford University Press, 89-105.
Ogden, J. R. & Crescitelli, E. (2007). Comunicação integrada de marketing: conceitos, técnicas e práticas. 2 ed. São Paulo: Pearson.
Ramos, A., Mendes Filho, L. A. M., & Lobianco, M. M. (2017). Sistemas e tecnologia da informação no turismo: um enfoque gerencial. Curitiba: Prismas.
Reino, S. & Hay, B. (2011). The use of YouTube as a tourism marketing tool. Proceedings of the 42nd Annual Travel & Tourism Research Association Conference, London, Ontario, Canada, 42.
Ruiz, F. J. M. & Ortiz Sobrino, M. A. (2016). El vídeo como soporte en la narrativa digital del branded content y los productos audiovisuales en las plataformas online. Poliantea, 12(22), 85-116.
Schlosser, A. E., Shavitt, S. & Kanfer, A. (1999). Survey of internet users’ attitudes toward internet advertising, Journal of Interactive Marketing, 13(3), 34-54.
Schudson, M. (2013). Advertising, the uneasy persuasion (RLE Advertising): its dubious impact on American society. Routledge.
Silva, M. M., Silva, J. R. H. & Mendes Filho, L. (2018). Uso de vídeos como elemento de promoção e venda de serviços hoteleiros na internet. In: Ramos, C. et al. (Org.). O futuro hoje: novas tecnologias, social media e negócio digital. Faro, Portugal: Universidade do Algarve.
Silva, M. M., Mendes Filho, & Marques Júnior, S. (2019). Comentarios de viajes online sobre médios de hospedaje: Un abordaje cuantitativo con viajeros de la ciudad de Natal (Brasil). Estudios y Perspectivas en Turismo, 28(1), 185 - 206
Tsai, F. M., & Bui, T. D. (2020). Impact of word of mouth via social media on consumer intention to purchase cruise travel products. Maritime Policy and Management, 1-17.
Tsai, Y. C., Chu, C. M & Kabori, K. (2017). The influence of video clips on travel intention and destination image, International Journal of Arts and Commerce, 6(1), 37-55.
Tsang, M. M., Ho, S. C. & Liang, T. P. (2004). Consumer attitudes toward mobile advertising: an empirical study”, International Journal of Electronic Commerce, 8(3), 65-78.
Tussyadiah, L, P. & Fesenmaier, D, R. (2009). Mediating tourist experiences: access to places via shared videos, Annals of Tourism Research, 36(1), 24-40.
Vargo, S. L., & Lusch, R. F. (2016). Institutions and axioms: an extension and update of service-dominant logic. Journal of the Academic Marketing Science, 44,5–23.
Webster, J., Trevino, L. K., & Ryan, L. (1994). The dimensionality and correlates of flow in human - computer interactions, Computers in Human Behavior, 9(4), 411-426.
Yan, Q., Wu, S., Wang, L., Wu, P., Chen, H. & Wei, G. (2016). E-WOM from e-commerce websites and social media: which will consumers adopt? Electronic Commerce Research and Applications, 17, 62-73.
Yan, Q., Zhou, S., & Wu, S. (2018). The influences of tourists’ emotions on the selection of electronic word of mouth platforms. Tourism Management, 66, 348–363.
Yang, K.C., Huang, C. H., Yang, C. & Yang, S. Y. (2017). Consumer attitudes toward online video advertisement: YouTube as a platform, Kybernetes, 46(5), 840-853.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2020 PODIUM Sport, Leisure and Tourism Review
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.