Determinantes de la reserva de alojamiento en aplicaciones de redes sociales

Autores/as

DOI:

https://doi.org/10.7784/rbtur.v20.3409

Palabras clave:

Comportamiento del Consumidor de Turismo, Alojamiento, Redes Sociales, Tecnología Móvil, Comercio Electrónico

Resumen

El estudio pretende desarrollar un modelo teórico que integre los determinantes que influyen en la intención de reservar alojamiento a través de aplicaciones de redes sociales. La base inicial del modelo fue la Teoría del Comportamiento Planificado (TCP), a la cual se incorporaron variables de cuatro teorías adicionales: Riesgo Percibido, Señalización, Difusión de Innovaciones y Apoyo Social. Se analizaron un total de 486 cuestionarios respondidos por consumidores brasileños. Adoptando un enfoque cuantitativo, el estudio empleó la técnica de modelado de ecuaciones estructurales por mínimos cuadrados parciales para el análisis de los datos. De las diez hipótesis propuestas, nueve fueron respaldadas. En relación con el constructo intención de reserva, la actitud emergió como el factor más influyente y significativo, mediando (total o parcialmente) otras relaciones establecidas. Entre los determinantes que influyen en la actitud, la ventaja relativa percibida resultó ser la más representativa, a pesar de su efecto moderado. El modelo aportó contribuciones teóricas y permitió la extensión de la TCP mediante la incorporación de características pertinentes a las aplicaciones de redes sociales, un enfoque aún no adoptado en estudios previos. Los resultados pueden ayudar a las empresas de alojamiento a aprovechar dichas aplicaciones como canales de venta en línea. 

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Biografía del autor/a

Cibelle Batista Gondim, Universidade Federal da Paraíba

Doutorado em Turismo na Universidade Federal do Rio Grande do Norte (UFRN). Mestrado em Administração na Universidade Federal da Paraíba (UFPB). Graduação em Turismo na Universidade Federal da Paraíba (UFPB). Professora Associada do Departamento de Turismo e Hotelaria (DTH) da Universidade Federal da Paraíba. Líder do Grupo de Estudos sobre Experiências, Sustentabilidade e Tecnologias em Turismo e Hospitalidade (GUEST) no CNPq. Contribuições: Conceituação, Curadoria de dados, Análise formal, Investigação, Metodologia, Software, Redação do manuscrito original, Redação - revisão e edição.

Luiz Augusto Machado Mendes Filho, Universidade Federal do Rio Grande do Norte

PhD em Administração na Auckland University of Technology (Nova Zelândia). Pós doutorado em Turismo na Bournemouth University (Inglaterra). Mestrado em Engenharia de Produção (UFRN). Mestrado sanduíche em Administração na University of Maine (Estados Unidos). Graduação em Ciências da Computação (UFRN). Professor Associado do Departamento de Turismo e da Pós-Graduação 2 em Turismo da Universidade Federal do Rio Grande do Norte. Líder do Grupo de Estudos em Gestão do Turismo (GESTUR) no CNPq. Contribuições: Análise formal, Metodologia, Supervisão, Redação - revisão e edição.

Citas

Abkenar, S. P., Raeesi Vanani, I., Sohrabi, B., & Manian, A. (2024). Social commerce mobile application en-hancement: a hybrid text clustering-topic modeling business model analysis. Electronic Commerce Re-search, 24(3), 1927-1965. https://doi.org/10.1007/s10660-022-09596-y DOI: https://doi.org/10.1007/s10660-022-09596-y

Agag, G. M., & El-Masry, A. A. (2017). Why do consumers trust online travel websites? Drivers and outcomes of consumer trust toward online travel websites. Journal of Travel Research, 56(3), 347-369. http://doi.org/10.1177/0047287516643185 DOI: https://doi.org/10.1177/0047287516643185

Agag, G. M., Khashan, M. A., Colmekcioglu, N., Almamy, A., Alharbi, N. S., Eid, R., Shabbir, H., & Abdelmoety, Z. H. S. (2020). Converting hotels website visitors into buyers: how online hotel web assurance seals services decrease consumers’ concerns and increase online booking intentions. Information Technology & Peo-ple, 33(1), 129-159. https://doi.org/10.1108/ITP-12-2017-0446 DOI: https://doi.org/10.1108/ITP-12-2017-0446

Ajzen, I. (1985). From intentions to actions: a Theory of Planned Behavior. In: Kuhl, J. & Beckman, J. (Eds.). Ac-tion-control: From cognition to behavior. Springer, 11–39. DOI: https://doi.org/10.1007/978-3-642-69746-3_2

Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. http://doi.org/10.1016/0749-5978(91)90020-T DOI: https://doi.org/10.1016/0749-5978(91)90020-T

Akhtar, N., Siddiqi, U. I., Akhtar, M. N., Usman, M., & Ahmad, W. (2020). Modeling attitude ambivalence and be-havioral outcomes from hotel reviews. International Journal of Contemporary Hospitality Management, 32(9), 2831-2855. http://doi.org/10.1108/IJCHM-11-2019-0962 DOI: https://doi.org/10.1108/IJCHM-11-2019-0962

Amaro, S., & Duarte, P. (2015). An integrative model of consumers' intentions to purchase travel online. Tourism Management, 46, 64-79. http://doi.org/10.1016/j.tourman.2014.06.006 DOI: https://doi.org/10.1016/j.tourman.2014.06.006

Bae, S., Kwon, J. M., & Bosley, A. (2020). Factors influencing consumers' rejection to smartphone transactions in the lodging industry. International Hospitality Review, 34(1), 29-40. http://doi.org/10.1108/IHR-09-2019-0020 DOI: https://doi.org/10.1108/IHR-09-2019-0020

Baek, J., & Ok, C. M. (2017). The power of design: how does design affect consumers’ online hotel book-ing? International Journal of Hospitality Management, 65, 1-10. http://doi.org/10.1016/j.ijhm.2017.05.001 DOI: https://doi.org/10.1016/j.ijhm.2017.05.001

Bai, Y., Yao, Z., & Dou, Y. F. (2015). Effect of social commerce factors on user purchase behavior: an empirical investigation from renren. com. International Journal of Information Management, 35(5), 538-550. http://doi.org/10.1016/j.ijinfomgt.2015.04.011 DOI: https://doi.org/10.1016/j.ijinfomgt.2015.04.011

Bauer, R. A. (1960). Consumer behavior as risk taking. In: Hancock, R. S. (ed.). Dynamic marketing for a chang-ing world. Proceedings of the 43rd Conference of the American Marketing Association, 389-398.

Bido, D. de S., & Da Silva, D. (2019). SmartPLS 3: especificação, estimação, avaliação e relato. Administração: Ensino e Pesquisa, 20(2), 488-536. https://doi.org/10.13058/raep.2019.v20n2.1545 DOI: https://doi.org/10.13058/raep.2019.v20n2.1545

Chin, W. W. (2010). How to write up and report PLS analyses. In: Esposito Vinzi, V.; Chin, W. W.; Henseler, J.; & Wang, H. (Eds.). Handbook of partial least squares: concepts, methods and applications. Springer, pp. 655–690. https://doi.org/10.1007/978-3-540-32827-8 DOI: https://doi.org/10.1007/978-3-540-32827-8_29

Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In: Marcoulides, G. A. (Ed.) Modern Methods for Business Research, 295(2), 295-336.

Cohen, S., Underwood, L. G., & Gottlieb, B. H. (Eds.). (2000). Social support measurement and intervention: a guide for health and social scientists. Oxford University Press. DOI: https://doi.org/10.1093/med:psych/9780195126709.001.0001

Connelly, B. L., Certo, S. T., Ireland, R. D., & Reutzel, C. R. (2011). Signaling theory: a review and assessment. Journal Of Management, 37(1), 39-67. https://doi.org/10.1177/0149206310388419 DOI: https://doi.org/10.1177/0149206310388419

Dowling, G. R. (2016). Defining and measuring corporate reputations. European Management Review, 13(3), 207-223. https://doi.org/10.1111/emre.12081 DOI: https://doi.org/10.1111/emre.12081

Dutta, N., & Bhat, A. (2016). Exploring the effect of store characteristics and interpersonal trust on purchase intention in the context of online social media marketing. Journal of Internet Commerce, 15(3), 239-273. https://doi.org/10.1080/15332861.2016.1191053 DOI: https://doi.org/10.1080/15332861.2016.1191053

Duy, N. B. P., Nguyen, V. T. T., & Khoa, B. T. (2025). From flow experience determinants to user behavior: a study on online food ordering platforms via mobile applications. Journal of Open Innovation: Technology, Mar-ket, and Complexity, 100551. https://doi.org/10.1016/j.joitmc.2025.100551 DOI: https://doi.org/10.1016/j.joitmc.2025.100551

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. https://doi.org/10.1016/j.chb.2016.03.003 DOI: https://doi.org/10.1016/j.chb.2016.03.003

Fishbein, M. & Ajzen, I. (1975). Beliefs, attitude, intention and behavior: an introduction to theory and research. Reading, MA: Addison-Wesley.

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.1177/002224378101800104 DOI: https://doi.org/10.1177/002224378101800104

Gabriel, M., & Kiso, R. (2025). Marketing na era digital - conceitos, plataformas e estratégias (3rd ed.). Grupo GEN.

Gan, C., & Wang, W. (2017). The influence of perceived value on purchase intention in social commerce context. Internet Research, 27(4), 772-785. https://doi.org/10.1108/IntR-06-2016-0164 DOI: https://doi.org/10.1108/IntR-06-2016-0164

Giovannini, C. J. (2018). Construindo confiança na era da desconfiança: comportamento de compra por disposi-tivos móveis do consumidor brasileiro [Tese de doutorado, Pontifícia Universidade Católica do Rio de Janeiro]. Biblioteca Depositária CCS. https://web.archive.org/web/20190430030403id_/https://www.maxwell.vrac.puc-rio.br/34374/34374.PDF

Gosling, M. D. S., Fortes, F. W. T., Lopes, H. E. G., Gosling, I. T. D. S., & Meira, K. C. O. (2020). Reservas de hotéis: atributos importantes em transações online dos clientes. Turismo: Visão e Ação, 22(1), 87-114. https://doi.org/10.14210/rtva.v22n1.p87-114 DOI: https://doi.org/10.14210/rtva.v22n1.p87-114

Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2009). Análise Multivariada de Dados. (Sant’Anna, M. A. G. A. S., Trans.). 6th ed. Dados eletrônicos. Bookman. 682 p.

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal Of Marketing Theory and Practice, 19(2), 139-152. https://doi.org/10.2753/MTP1069-6679190202 DOI: https://doi.org/10.2753/MTP1069-6679190202

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2-24. https://doi.org/10.1108/EBR-11-2018-0203 DOI: https://doi.org/10.1108/EBR-11-2018-0203

Hakim, M. M., Sonia, P. N., Aryotejo, G., Adhy, S., Ashari, Y. F., & Alfarisi, S. (2024). Factors influencing the use of mobile social commerce application with UTAUT2 extended model. Journal of Information Systems Engi-neering & Business Intelligence, 10(1). http://dx.doi.org/10.20473/jisebi.10.1.25-37 DOI: https://doi.org/10.20473/jisebi.10.1.25-37

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of The Academy of Marketing Science, 43(1), 115-135. https://doi.org/10.1007/s11747-014-0403-8 DOI: https://doi.org/10.1007/s11747-014-0403-8

Herzallah, D., Liébana-Cabanillas, F., Muñoz-Leiva, F., & Zarco, C. (2025). Past, present, and future of social commerce: a bibliometric analysis. Quality & Quantity, 1-33. https://doi.org/10.1007/s11135-025-02103-z DOI: https://doi.org/10.1007/s11135-025-02103-z

Hew, J. J., Leong, L. Y., Tan, G. W. H., Lee, V. H., & Ooi, K. B. (2018). Mobile social tourism shopping: a dual-stage analysis of a multi-mediation model. Tourism Management, 66, 121-139. https://doi.org/10.1016/j.tourman.2017.10.005 DOI: https://doi.org/10.1016/j.tourman.2017.10.005

Irshad, M., & Ahmad, M. S. (2019). Impact of consumers' online motivations on the online purchase intentions: mediating role of consumers' attitudes towards social media marketing. Business and Economic Re-view, 11(3), 89-111. https://doi.org/10.22547/BER/11.3.4 DOI: https://doi.org/10.22547/BER/11.3.4

Israel, K., Zerres, C., & Tscheulin, D. K. (2019). Presenting hotels in virtual reality: does it influence the booking intention? Journal of Hospitality and Tourism Technology, 10(3), 443-463. https://doi.org/10.1108/JHTT-03-2018-0020 DOI: https://doi.org/10.1108/JHTT-03-2018-0020

Kim, M. J., Lee, C. K., & Bonn, M. (2017). Obtaining a better understanding about travel-related purchase inten-tions among senior users of mobile social network sites. International Journal of Information Manage-ment, 37(5), 484-496. https://doi.org/10.1016/j.ijinfomgt.2017.04.006 DOI: https://doi.org/10.1016/j.ijinfomgt.2017.04.006

Kirillova, K., & Chan, J. (2018). “What is beautiful we book”: hotel visual appeal and expected service quali-ty. International Journal of Contemporary Hospitality Management, 30(3), 1788-1807. https://doi.org/10.1108/IJCHM-07-2017-0408 DOI: https://doi.org/10.1108/IJCHM-07-2017-0408

Kucukcay, I. E., & Benyoucef, M. (2014). Mobile social commerce implementation. In: Proceedings of the 6th International Conference on Management of Emergent Digital Ecosystems, Buraidah Al Qassim, Saudi Arabia, 1-8. https://doi.org/10.1145/2668260.2668276 DOI: https://doi.org/10.1145/2668260.2668276

Liébana-Cabanillas, F., & Alonso-Dos-Santos, M. (2017). Factors that determine the adoption of Facebook com-merce: the moderating effect of age. Journal of Engineering and Technology Management, 44, 1-18. https://doi.org/10.1016/j.jengtecman.2017.03.001 DOI: https://doi.org/10.1016/j.jengtecman.2017.03.001

Liébana-Cabanillas, F., Corral-Hermoso, J. A., Villarejo-Ramos, Á. F., & Higueras-Castillo, E. (2019). New social consumer? Determining factors of Facebook commerce. Journal of Decision Systems, 27(4), 213-237. https://doi.org/10.1080/12460125.2019.1592990 DOI: https://doi.org/10.1080/12460125.2019.1592990

Lin, X., Wang, X., & Hajli, N. (2019). Building e-commerce satisfaction and boosting sales: The role of social commerce trust and its antecedents. International Journal of Electronic Commerce, 23(3), 328-363. https://doi.org/10.1080/10864415.2019.1619907 DOI: https://doi.org/10.1080/10864415.2019.1619907

Liu, Y., Su, X., Du, X., & Cui, F. (2019). Como o suporte social motiva a confiança e as intenções de compra no comércio social móvel. Revista Brasileira de Gestão de Negócios, 21(5), 839-860. https://doi.org/10.7819/rbgn.v21i5.4025 DOI: https://doi.org/10.7819/rbgn.v21i5.4025

Makmor, N., Alam, S. S., & Aziz, N. A. (2018). Social support, trust and purchase intention in social commerce era. International Journal of Supply Chain Management, 7(5), 572–581. https://www.researchgate.net/profile/Syed-Alam-11/publication/329802460_572_Social_Support_Trust_and_Purchase_Intention_in_Social_Commerce_Era/links/5c1b788a92851c22a3383d3a/572-Social-Support-Trust-and-Purchase-Intention-in-Social-Commerce-Era.pdf

Marconi, M. de A., & Lakatos, E. M. (2021). Técnicas de pesquisa (J. B. Medeiros, Atual., 9. ed.). Atlas

Martínez-López, F. J., Li, Y., Feng, C., & Esteban-Millat, I. (2020). Purchasing through social platforms with buy buttons: a basic hierarchical sequence. Journal of Organizational Computing and Electronic Commerce, 1-21, https://doi.org/10.1080/10919392.2020.1713698 DOI: https://doi.org/10.1080/10919392.2020.1713698

Martins, L. M., França K. D. L., Mendes Filho, L., & Marques Júnior, S. (2024). Influência da rede social TikTok na intenção de viagem: uma abordagem com a Teoria do Comportamento Planejado. Revista Turismo em Análise, 35, 120-142 https://doi.org/10.11606/issn.1984-4867.v35ip120-142 DOI: https://doi.org/10.11606/issn.1984-4867.v35ip120-142

Moital, M., Vaughan, R., Edwards, J., & Peres, R. (2009). Determinants of intention to purchase over the Internet. Anatolia, 20(2), 345-358. https://doi.org/10.1080/13032917.2009.10518913 DOI: https://doi.org/10.1080/13032917.2009.10518913

Nunes, R. H., Ferreira, J. B., de Freitas, A. S., & Ramos, F. L. (2018). Efeitos das recomendações de líderes de opinião em mídias sociais sobre a intenção de compra de seus seguidores. Revista Brasileira de Ges-tão de Negócios, 20(1), 57-73. https://doi.org/10.7819/rbgn.v20i1.3678 DOI: https://doi.org/10.7819/rbgn.v20i1.3678

Oliveira, R. D. C., Baldam, E. C. G. D. R., Costa, F. R. D., & Pelissari, A. S. (2020). A influência da percepção de utilidade de avaliações online na intenção de compra de serviços de hotelaria. Revista Brasileira de Pesquisa em Turismo, 14(2), 30-45. https://doi.org/10.7784/rbtur.v14i2.1695 DOI: https://doi.org/10.7784/rbtur.v14i2.1695

Oumayma, L., & Ez-Zohra, B. (2023). Predicting the antecedents of travelers purchase behavior through OTAs–a hybrid structural equation modeling with fuzzy set qualitative comparative analysis. Scientific African, 20, e01618. https://doi.org/10.1016/j.sciaf.2023.e01618 DOI: https://doi.org/10.1016/j.sciaf.2023.e01618

Park, S., & Huang, Y. (2017). Motivators and inhibitors in booking a hotel via smartphones. International Journal of Contemporary Hospitality Management, 29(1), 161-178. https://doi.org/10.1108/IJCHM-03-2015-0103 DOI: https://doi.org/10.1108/IJCHM-03-2015-0103

Park, S., & Tussyadiah, I. P. (2017). Multidimensional facets of perceived risk in mobile travel booking. Journal of Travel Research, 56(7), 854-867. https://doi.org/10.1177/0047287516675062 DOI: https://doi.org/10.1177/0047287516675062

Ponzi, L. J., Fombrun, C. J., & Gardberg, N. A. (2011). RepTrak™ pulse: conceptualizing and validating a short-form measure of corporate reputation. Corporate Reputation Review, 14(1), 15-35. https://doi.org/10.1057/crr.2011.5 DOI: https://doi.org/10.1057/crr.2011.5

Portugal, C. A., Mainardes, E. W., de Freitas, R. F. C., & de Almeida, C. M. (2020). Antecedentes da intenção de compra em sites de reservas de hotéis e pousadas. Revista Ciências Administrativas, 26(1), e8732. https://doi.org/10.5020/2318-0722.2020.26.1.8732 DOI: https://doi.org/10.5020/2318-0722.2020.26.1.8732

Ramona, R., Zaihisma, C.C., Asmidar, A.B. & Abdul Hadi, M. (2019). Performance of factors influencing custom-ers’ purchase intention towards online SNSs sellers. International Journal of Engineering and Advanced Technology, 9(1), 3440–3443. https://doi.org/10.35940/ijeat.A2654.109119 DOI: https://doi.org/10.35940/ijeat.A2654.109119

Ringle, C. M., Wende, S., & Becker, J.-M. (2015). SmartPLS 3. Boenningstedt: SmartPLS GmbH. http://www.smartpls.com.

Rogers, E. M. (2003). Diffusion of innovations. 5th ed. New York, NY: Free Press.

Rubem, R. C., Ferreira, J. B., & Queiroz Falcão, R. P. (2020). Estudo de antecedentes da aceitação de sites de reservas online, intenção de compra e boca-a-boca positivo. Revista Acadêmica Observatório de Inova-ção do Turismo, 14(3), 118-143. https://doi.org/10.17648/raoit.v14n3.6086 DOI: https://doi.org/10.17648/raoit.v14n3.6086

Sá, C., & Azevedo, A. (2020). A influência do fator preço e eficácia das táticas promocionais no setor hoteleiro. PODIUM Sport, Leisure and Tourism Review, 9(4), 46-69. https://doi.org/10.5585/podium.v9i4.14677 DOI: https://doi.org/10.5585/podium.v9i4.14677

Sadiq, M., Dogra, N., Adil, M., & Bharti, K. (2022). Predicting online travel purchase behavior: The role of trust and perceived risk. Journal of Quality Assurance in Hospitality & Tourism, 23(3), 796-822. https://doi.org/10.1080/1528008X.2021.1913693 DOI: https://doi.org/10.1080/1528008X.2021.1913693

Sakshi., Tandon, U., Ertz, M., & Bansal, H. (2020). Social vacation: Proposition of a model to understand tourists’ usage of social media for travel planning. Technology in Society, 63, 101438. https://doi.org/10.1016/j.techsoc.2020.101438 DOI: https://doi.org/10.1016/j.techsoc.2020.101438

Sampieri, R. H., Collado, C. F., & Lucio, M. del P. B. (2013). Metodologia de pesquisa. (Moras, D. V., Trans.). 5th ed. Penso, 624 p.

Sarstedt, M., & Cheah, J. H. (2019). Partial least squares structural equation modeling using SmartPLS: review. Journal of Marketing Analytics, 7, 196–202. https://doi.org/10.1057/s41270-019-00058-3 DOI: https://doi.org/10.1057/s41270-019-00058-3

Sharma, S., Singh, G., & Pratt, S. (2020). Does consumers’ intention to purchase travel online differ across gen-erations? Australasian Journal of Information Systems, 24. https://doi.org/10.3127/ajis.v24i0.2751 DOI: https://doi.org/10.3127/ajis.v24i0.2751

Sun, Q., & Xu, B. (2019). Mobile social commerce: current state and future directions. Journal of Global Market-ing, 32(5), 306-318. https://doi.org/10.1080/08911762.2019.1620902 DOI: https://doi.org/10.1080/08911762.2019.1620902

Tan, G. W. H., & Ooi, K. B. (2018). Gender and age: Do they really moderate mobile tourism shopping behavior? Telematics and Informatics, 35(6), 1617-1642. https://doi.org/10.1016/j.tele.2018.04.009 DOI: https://doi.org/10.1016/j.tele.2018.04.009

Um, N. H. (2019). Antecedents and consequences of consumers' attitude toward social commerce sites. Journal of Promotion Management, 25(4), 500-519. https://doi.org/10.1080/10496491.2018.1448324 DOI: https://doi.org/10.1080/10496491.2018.1448324

Wang, J., & Shahzad, F. (2024). Deciphering social commerce: a quantitative meta-analysis measuring the so-cial, technological, and motivational dimensions of consumer purchase intentions. SAGE Open, 14(2). https://doi.org/10.1177/21582440241257591 DOI: https://doi.org/10.1177/21582440241257591

We Are Social. (2025, 15 de outubro). Digital 2026 global overview report. https://wearesocial.com/us/blog/2025/10/digital-2026/

WorldMetrics. (2026). Online hotel booking statistics 2026. https://worldmetrics.org/online-hotel-booking-statistics/

Ye, Q., Luo, Y., Cao, C., & Zhong, Y. (2023). How attachment influences users' decisions in mobile social com-merce context from a socio-technical systems perspective. Journal of Organizational and End User Computing (JOEUC), 35(3), 1-23. https://doi.org/10.4018/JOEUC.327857 DOI: https://doi.org/10.4018/JOEUC.327857

Yin, X., Wang, H., Xia, Q., & Gu, Q. (2019). How social interaction affects purchase intention in social commerce: a cultural perspective. Sustainability, 11(8), 2423, https://doi.org/10.3390/su11082423 DOI: https://doi.org/10.3390/su11082423

Zhang, Z., & Wang, H. (2019). How online social ties and product-related factors influence purchasing intention in mobile social commerce context? International Journal of Mobile Communications, 17(2), 191-212. https://doi.org/10.1504/IJMC.2019.098063 DOI: https://doi.org/10.1504/IJMC.2019.098063

Publicado

2026-10-22

Cómo citar

Gondim, C. B., & Mendes Filho, L. A. M. (2026). Determinantes de la reserva de alojamiento en aplicaciones de redes sociales. Revista Brasileira De Pesquisa Em Turismo, 20, 3409. https://doi.org/10.7784/rbtur.v20.3409

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Artículos - Gestión del Turismo