Intention to Purchase Accommodation Services through Social Networks: Application of the Technological Acceptance Model

Main Article Content

Carlos Aníbal Manosalvas Vaca
Yolanda Lorena Paredes Andrade

Abstract

The information and communication technologies have generated a great influence in business environments, as well as in consumer behavior. Specifically, in the tourism sector, clients have the possibility of accessing a large amount of service offerings, which forces companies to identify the factors through which they can capture and maintain customer service and communication with the purpose of increase the sales of your services. Based on this, this research analyzed whether perceived utility and perceived ease of use, which are components of the technology acceptance model, influence the intention to purchase accommodation services through social networking sites. The research applied to a sample of 382 tourists and making use of structural equation modeling, showed that only the perceived ease of use influences the intention to buy online. The results allow us to conclude that it is necessary to put more emphasis on the hedonic aspects of these virtual platforms.

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How to Cite
Manosalvas Vaca, C. A., & Paredes Andrade, Y. L. (2021). Intention to Purchase Accommodation Services through Social Networks: Application of the Technological Acceptance Model. INNOVA Reseach Journal, 6(2), 274–281. https://doi.org/10.33890/innova.v6.n2.2021.1630
Section
Knowledge management
Author Biographies

Carlos Aníbal Manosalvas Vaca, Universidad Estatal Amazónica, Ecuador

Carlos Manosalvas, de nacionalidad ecuatoriana, es PhD en Administración Estratégica de Empresas, título obtenido en la Pontificia Universidad Católica del Perú  - Centrum. Posee además una maestría en Gestión Empresarial. Actualmente es Docente – Investigador de la Universidad Estatal Amazónica. Sus líneas de investigación más importantes son: Gestión Estratégica, Marketing Digital, Estadística Multivariante aplicada a las Ciencias Sociales, Liderazgo y Gestión del Conocimiento.

Yolanda Lorena Paredes Andrade, Universidad Estatal Amazónica, Ecuador

Lorena Paredes, de nacionalidad ecuatoriana. Tiene un PhD en Ciencias Económicas y una Maestría en Marketing Turístico. Actualmente es Docente Investigadora de la Universidad Estatal Amazónica y sus principales líneas de investigación son: Responsabilidad Social Empresarial, Marketing y Gestión Hotelera y Turística.

References

Ajzen, I. (2006). Constructing a TpB questionnaire: conceptual and methodological considerations. Recuperado de: http://www.people.umass.edu/aizen

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. doi:10.1016/0749-5978(91)90020-T

Aldás-Manzano, J., Ruiz-Mafé, C., & Sanz-Blas, S. (2009). Exploring individual personality factors as drivers of M-shopping acceptance. Industrial Management & Data Systems, 109(6), 739-757.

Aluri, A. K. (2012). Does embedding social media channels in hotel websites influence travelers' satisfaction and purchase intentions? (Doctoral Dissertation, Oklahoma State University).

Busalim, A., Chen Hussin, A. R., & Fadhil Yusof, A. (2017). Customer Engagement in Social Commerce: a Theoretical Review, 95(22), 1–68.

Childers, T. L., Carr, C. L., Peck, J., & Carson, S. (2001). Hedonic and utilitarian motivations for online retail shopping behavior. Journal of retailing, 77(4), 511-535.

Chion, S., & Charles, V. (2016). Analítica de datos para la modelación estructural. Lima, Perú: Pearson.

Chu, A. Z. C., & Chu, R. J. C. (2011). The intranet's role in newcomer socialization in the hotel industry in Taiwan–technology acceptance model analysis. The International Journal of Human Resource Management, 22(05), 1163-1179.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 319–340. doi:10.2307/249008.

Devaraj, S., Easley, R. F., & Crant, J. M. (2008). Research note—how does personality matter? Relating the five-factor model to technology acceptance and use. Information systems research, 19(1), 93-105.

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

Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: an integrated model. MIS quarterly, 27(1), 51-90.

Hajli, M. (2015). An integrated model for e-commerce adoption at the customer level with the impact of social commerce. International Journal of Information Science and Management (IJISM), 77-97

Javed, M. K., Nazam, M., Ahmad, J., Nadeem, A. H., & Qadeer, T. (2015). Role of Web in an Online Setting: Consumers perceived risk toward online purchase intention. In Proceedings of the Ninth International Conference on Management Science and Engineering Management (pp. 617-625). Springer, Berlin, Heidelberg.

Kim, S., & Park, H. (2013). Effects of various characteristics of social commerce (s-commerce) on consumers’ trust and trust performance. International Journal of Information Management, 33(2), 318–332. https://doi.org/10.1016/j.ijinfomgt.2012.11.006

Kim, H., & Song, J. (2010). The quality of word-of-mouth in the online shopping mall. Journal of Research in Interactive Marketing, 4(4), 376-390.

Mortazavi, M., Rahim Esfidani, M., & Shaemi Barzoki, A. (2014). Influencing VSN users’ purchase intentions: The roles of flow, trust and eWOM. Journal of Research in Interactive Marketing, 8(2), 102-123.

Memarzadeh, F., Blum, S. & Adams, Ch. (2016). Business Travelers’ Intention to Purchase: The Application of Technology Acceptance Model (TAM). Journal of Quality Assurance in Hospitality and Tourism. 17(4), 412-424.

Moslehpour, M., Pham, V., Wong, W. K., & Bilgiçli, İ. (2018). E-purchase intention of Taiwanese consumers: Sustainable mediation of perceived usefulness and perceived ease of use. Sustainability, 10(1), 234.

Özbek, V., Alnıaçık, Ü., Koc, F., Akkılıç, M. E., & Kaş, E. (2014). The impact of personality on technology acceptance: A study on smart phone users. Procedia-Social and Behavioral Sciences, 150, 541-551.

Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International journal of electronic commerce, 7(3), 101-134.

Pookulangara, S., & Koesler, K. (2011). Cultural influence on consumers' usage of social networks and its' impact on online purchase intentions. Journal of Retailing and Consumer Services, 18(4), 348-354.

Punnoose, A. C. (2012). Determinants of intention to use eLearning based on the technology acceptance model. Journal of Information Technology Education: Research, 11(1), 301-337.

Ramayah, T., Rahman, S. A., & Ling, N. C. (2018). How do Consumption Values Influence Online Purchase Intention among School Leavers in Malaysia? Revista Brasileira de Gestão de Negócios, 20(4), 638-654.

San Martín, H., & Herrero, Á. (2012). Influence of the user’s psychological factors on the online purchase intention in rural tourism: Integrating innovativeness to the UTAUT framework. Tourism Management, 33(2), 341-350.

Wallace, L. G., & Sheetz, S. D. (2014). The adoption of software measures: A technology acceptance model (TAM) perspective. Information & Management, 51(2), 249-259.

Yilmaz, Ö. (2014). The effect of websites on customer preferences related to tourism products within the framework of Technological Acceptance Model (TAM). IIB International Refereed Academic Social Sciences Journal, 5(16), 46.

Yoon, H. S., & Steege, L. M. B. (2013). Development of a quantitative model of the impact of customers’ personality and perceptions on Internet banking use. Computers in Human Behavior, 29(3), 1133-1141.

Zwass, V., & Kendall, K. (1999). Structure and macro-level impacts of electronic commerce. Emerging Information Technologies: Improving Decisions, Cooperation, and Infrastructure, Sage, Beverly Hills, CA, 289-315.

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