Analyzing the factors influencing a tourism consumer's online purchase intention

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Adriana Valeria Treviño Saldívar
Enrique Ismael Meléndez Ruiz
Demian Abrego Almazán


Over the years, the tourism sector has presented significant technological changes, forcing travel agencies to reinvent how they offer and provide their services to adapt to this new online travel environment, and since there are two types of intermediaries in this service, it is essential to study the consumer's purchase intention and the factors behind that decision-making. Therefore, the objective of this study was to examine factors that affect the purchase intention of tourists through online travel sales websites, through an adaptation of the TAM. Data were collected from 404 individuals over 18 years old from Tamaulipas, Mexico. For its analysis, the statistical technique of structural equations with partial least squares was applied. The results highlight the difference in the respondents' age with respect to their purchase intention and its relationship with perceived usefulness and trust.

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TREVIÑO SALDÍVAR, Adriana Valeria; MELÉNDEZ RUIZ, Enrique Ismael; ABREGO ALMAZÁN, Demian. Analyzing the factors influencing a tourism consumer's online purchase intention. El Periplo Sustentable, [S.l.], n. 44, p. 195 - 211, abr. 2023. ISSN 1870-9036. Disponible en: <>. Fecha de acceso: 07 jun. 2023 doi:


Aboobucker, I. & Bao, Y. (2018). What obstruct customer acceptance of internet banking? Security and privacy, risk, trust and website usability and the role of moderators. The Journal of High Technology Management Research, 29(1), 109-123
Adaji, I., Oyibo, K. & Vassileva, J. (2018). The effect of gender and age on the factors that influence healthy shopping habits in e-commerce. In Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 251-255
Albayrak, T., Karasakal, S., Kocabulut, Ö. & Dursun, A. (2020). Customer loyalty towards travel agency websites: The role of trust and hedonic value. Journal of Quality Assurance in Hospitality & Tourism, 21(1), 50-77.
Assaker, G. (2020). Age and gender differences in online travel reviews and user-generated-content (UGC) adoption: extending the technology acceptance model (TAM) with credibility theory. Journal of Hospitality Marketing & Management, 29(4), 428-449. DOI: 10.1080/19368623.2019.1653807.
Barragan, Y. & Castro N. (2020). Factores determinantes para la reserva de hoteles en línea en Colombia. Una mirada desde el modelo de Aceptación Tecnológica (TAM) ajustado. Revista de Turismo, Patrimonio & Desarrollo, (12).
Bayona-Oré, S. & Leyva, L. (2020). Factores Críticos de Aceptación de la Intención de Uso del Efectivo Móvil. Revista Ibérica de Sistemas e Tecnologias de Informação, (E28), 972-980.
Bravo, C. J., Ramírez, P. E. & Arenas, J. (2018). Aceptación del reconocimiento facial como medida de vigilancia & seguridad: Un estudio empírico en Chile. Información tecnológica, 29(2), 115-122. DOI: 10.4067/S0718-07642018000200115.
Bedregal-Alpaca, N., Cornejo-Aparicio, V., Tupacyupanqui-Jaén, D. & Flores-Silva, S. (2019). Evaluación de la percepción estudiantil en relación al uso de la plataforma Moodle desde la perspectiva del TAM. Ingeniare. Revista chilena de ingeniería, 27(4), 707-718.
Büchi, M., Festic, N., Just, N. & Latzer, M. (2021). Digital inequalities in online privacy protection: effects of age, education and gender. In Handbook of digital inequality. Edward Elgar Publishing, 296-310.
Cabero-Almenara, J. (2018). Validación del modelo TAM de adopción de la Realidad Aumentada mediante ecuaciones estructurales. Estudios sobre Educación, (34), 129-153. DOI: 10.15581/004.34.129-153.
Cabero, J. & Llorente, C. (2020). La adopción de las tecnologías por las personas mayores: aportaciones desde el modelo TAM (Technology Acceptance Model). Publicaciones, 50(1), 141-157. doi:10.30827/publicaciones.v50i1.8521.
Chin, W. W. and Newsted, P. R. (1999). Structural equation modeling analysis with small samples using partial least squares. Statistical strategies for small sample research, 1(1), 307-341.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, Nj: Erlbaum.
Castro, A. C., Valarezo, J. J. & Bonisoli, L. (2021). Análisis de la aceptación del e-commerce en Ecuador: un estudio para la ciudad de Machala. 593 Digital Publisher CEIT, 6(5), 144-154. https://
Chaouali, W., Yahia, I. B. & Souiden, N. (2016). The Interplay of Counter-Conformity Motivation, Social Influence, and Trust in Customers' Intention to Adopt Internet Banking Services: The Case of an Emerging Country. Journal of Retailing and Consumer Services, (28), 209-218.
Chen, Y. H. & Chengalur-Smith, I. (2015). Factors influencing students' use of a library Web portal: Applying course-integrated information literacy instruction as an intervention. The Internet and Higher Education, 26, 42-55. DOI: 10.1016/j.iheduc.2015.04.005.
Chin, W. (1998). Issues and Opinion on Structural Equation Modeling. MIS Quarterly, 22(1), VII-XVI., [March 20, 2021].
Cho, G., Hwang, H., Sarstedt, M. & Ringle, C. M. (2020). Cutoff criteria for overall model fit indexes in generalized structured component analysis. Journal of Marketing Analytics, 8(4), 189-202. DOI
Cruz-Cárdenas, J., Zabelina, E., Guadalupe-Lanas, J., Palacio-Fierro, A. & Ramos-Galarza, C. (2021). COVID-19, consumer behavior, technology, and society: A literature review and bibliometric analysis. Technological forecasting and social change, 173, 121179.
Cruz, M. C., Moretti, S. & Alves, C. A. (2019). Hospitalidad y herramientas de compra online en hoteles: un estudio con ecuaciones estructurales en São Paulo/Brasil. TURYDES: Revista sobre Turismo y Desarrollo local sostenible, 12(26), 50.
Davis, F. (1993). User Acceptance of Information Technology: System Characteristics, User Perceptions and Behavioral Impacts. International Journal of Man-Machine Studies, 38(3), 475-487. DOI: 10.1006/imms.1993.1022.
Domínguez, J., García, M. & Mercado, M. (2015). Identificación de nuevas oportunidades de negocios a nivel internacional para agencias de viajes mayoristas y minoristas. [Tesis de maestría, Universidad Dr. José Matías Delgado]. Repositorio Institucional, [10 February 2021].
Dominguez-Lara (2016). Intervalos de confianza en el estudio de la fiabilidad: un análisis necesario. En Anales del Sistema Sanitario de Navarra. Gobierno de Navarra. Departamento de Salud, 39(1), 169-170. DOI:10.4321/S1137-6627/2016000100024.
Fang, J., Wen, C., George, B. & Prybutok, V. R. (2016). Consumer heterogeneity, perceived value, and repurchase decision-making in online shopping: The role of gender, age, and shopping motives. Journal of Electronic Commerce Research, 17(2), 116.
Faul, F., Erdfelder, E., Buchner, A. and Lang, A. (2009). Statistical power analyses using G* Power 3.1: Tests for correlation and regression analyses. Behavior research methods, 41(4), 1149-1160.
Green, S. B. (1991). How many subjects does it take to do a regression analysis. Multivariate behavioral research, 26(3), 499-510.
González, F., Lacoba, S., Mera, A. & Loureiro, S. (2015). Determinantes de la intención de uso de Facebook en el proceso de decisión de compra. Investigaciones europeas de dirección y economía de la empresa, 21(1), 26-34. DOI: 10.1016/j.iedee.2014.05.001.
Hahn, I. & Kodó, K. (2017). Acceptance of Online and Mobile Payment: A Cross-Country Analysis of Germany, Hungary, and Sweden.
Hair, J. F., Hult, G. T. M., Ringle, C. M. & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), 2nd Ed., Sage: Thousand.
Hair, J., Hult, T., Ringle, C., Sarstedt, M., Castillo, J., Cepeda, G. & Roldán, J. (2019). Manual de Partial Least Squares Structral Equation Modeling (PLS-SEM). SAGE Publishing.
Hsieh, L.-Y. (2019). Exploring the Behavior Intention of Online Travel Agency Hotel Reservation with Technology Acceptance Model. Proceedings of the 2019 2nd International Conference on Intelligent Science and Technology-ICIST 2019. DOI:10.1145/3354142.3354151.
Hwang, J., Lee, J.-S., Kim, H. (2019). Perceived innovativeness of drone food delivery services and its impacts on attitude and behavioral intentions: the moderating role of gender and age. International Journal Hospitality Manage. 81, 94-103. DOI: 10.1016/j. ijhm.2019.03.002.
Jagan, S. (2018). Mediating Role of Perceived Risks and Online Trust between Factors Influencing Online Shopping and Attitude towards Online Shopping. Age (years), 31(35), 82.
Kim, H.-Y., Lee, J. Y., Mun, J. M. & Johnson, K. K. (2017). Consumer adoption of smart in-store technology: Assessing the predictive value of attitude versus beliefs in the technology acceptance model. International Journal of Fashion Design, Technology and Education, 10(1), 26-36. DOI: 10.1080/17543266.2016.1177737.
Kimathi, F. A., Zhang, Y. & Hu, L. (2019). Citizens' Acceptance of E-Government Service: Examining E-Tax Filing and Payment System (ETFPS) in Tanzania. African Journal of Library, Archives & Information Science, 29(1), 45-62.
Lin, L. C. T. & Shuang-Shii, C. H. (2018). The importance of brand image on consumer purchase attitude: A case study of e-commerce in Taiwan. Studies in Business & Economics, 13(3). DOI 10.2478/sbe-2018-0037
Lyne, L. R., Moran, J. C. S. & Hernández, M. L. O. (2018). La Responsabilidad Social Corporativa percibida por los universitarios millennials de Ecuador. Un estudio inicial con relación a su confianza e intención de compra. Dilemas contemporáneos: Educación, Política y Valores. DOI: 10.29059/cienciauat.v13i2.1023.
Manosalvas Vaca, C. A. & Paredes Andrade, Y. L. (2021). Intención de compra de servicios de alojamiento a través de redes sociales: aplicación del modelo de aceptación tecnológica. Innova Research Journal, 6(2), 274-281. DOI: 10.33890/innova.v6.n2.2021.1630
Medina-Quintero, J. M., Ábrego-Almazán, D. & Echeverría-Ríos, O. (2021). Satisfacción, facilidad de uso y confianza del ciudadano en el gobierno electrónico. Investigación administrativa, 50(127). DOI: 10.35426/iav50n127.04
Monsalve & Betancur (2020). Factores determinantes para la reserva de hoteles en línea en Colombia. Una mirada desde el modelo de Aceptación Tecnológica (TAM) ajustado. Revista Turpade, 12.
Niu, L. X. & Lee, J. H. (2018). The intention of repurchase on e-service quality by online travel agency site. The Journal of Industrial Distribution & Business, 9(7), 61-70.
Patiño-Toro, O., Bermeo-Giraldo, C., Valencia-Arias, A. & Garcés-Giraldo, L. (2020). Factores que inciden en el aprendizaje en gestión tecnológica e innovación en estudiantes de administración mediante el modelo de aceptación tecnológica. Formación universitaria, 13(5), 77-86. DOI: 10.4067/S0718-50062020000500077.
Peng, L., Zhang, W., Wang, X. & Liang, S. (2019). Moderating effects of time pressure on the relationship between perceived value and purchase intention in social E-commerce sales promotion: Considering the impact of product involvement. Information & Management, 56(2), 317-328.
Renadie, A. S. P. & Sharif, O. O. (2019). Analisis Adopsi Situs AIRBNB Menggunakan Technology Acceptance Model (TAM). Almana: Jurnal Manajemen dan Bisnis, 3(1), 134-144.
Reyes, M. & Castañeda, P. (2020). Aplicación del Modelo de Aceptación Tecnológica en Sistemas de Información de la Administración Pública del Perú. Revista peruana de computación y sistemas, 3(1), 15-22.
Ruiz, E. I. M. & Almazán, D. Á. (2021). El papel de la confianza en la intención de uso del comercio electrónico/The role of trust in the intention to use e-commerce. RISTI (Revista Ibérica de Sistemas e Tecnologias de Informação), (42), 1b-1b. DOI: 10.17013/risti.42.30-45.
Sánchez-Mena, A., Martí-Parreño, J. & Aldás-Manzano, J. (2017). The Effect of Age on Teachers' Intention to Use Educational Video Games: A TAM Approach. Electronic Journal of e-Learning, 15(4), 355-366.
Sukno, R. & Pascual del Riquelme, I. (2019). E-Commerce C2C en Chile: Incorporación de La Reputación y de la Confianza en El TAM. Journal of technology management y innovation, 14(3), 72-81. DOI: 10.4067/S0718-27242019000300072.
Tahar, A., Riyadh, H. A., Sofyani, H., & Purnomo, W. E. (2020). Perceived ease of use, perceived usefulness, perceived security, and intention to use e-filing: The role of technology readiness. The Journal of Asian Finance, Economics, and Business, 7(9), 537-547. DOI: 10.13106/jafeb.2020.vol7.no9.537.
Talwar, S., Dhir, A., Kaur, P. & Mäntymäki, M. (2020). Why do people purchase from online travel agencies (OTAs)? A consumption values perspective. International Journal of Hospitality Management, 88, 102534. DOI:10.1016/j.ijhm.2020.102534.
Ventre, I. & Kolbe, D. (2020). The impact of perceived usefulness of online reviews, trust and perceived risk on online purchase intention in emerging markets: A Mexican perspective. Journal of International Consumer Marketing, 32(4), 287-299.
Wicaksono, A. & Maharani, A. (2020). The Effect of Perceived Usefulness and Perceived Ease of Use on the Technology Acceptance Model to Use Online Travel Agency. Journal of Business and Management Review, 1(5), 313-328. DOI: 10.47153/jbmr15.502020.
Wong, W. H. & Mo, W. Y. (2019). A study of consumer intention of mobile payment in Hong Kong, based on perceived risk, perceived trust, perceived security and Technological Acceptance Model. Journal of Advanced Management Science, 7(2), 33-38. doi: 10.18178/joams.7.2.33-38.
Ye, B. H., Barreda, A. A., Okumus, F. & Nusair, K. (2019). Website interactivity and brand development of online travel agencies in China: The moderating role of age. Journal of Business Research, (99), 382-389.
Zaman, T. & Alakus, K. (2019). Comparison of resampling methods in multiple linear regression. Journal of Science and Arts, 19(1), 91-104.