Factores determinantes para la intención de compras en línea para los consumidores boyacenses

César Ramiro Chaparro Pinzón

doi:10.12804/revistas.urosario.edu.co/empresa/a.11934

##plugins.block.makeSubmission.linkLabel##

Fatores determinantes para a intenção de compra on-line dos consumidores de Boyacá

DOI: https://doi.org/10.12804/revistas.urosario.edu.co/empresa/a.11934

PDF (Español (España)) HTML (Español (España)) Lector Inteligente (Español (España)) ePub (Español (España)) LinkedIn (Español (España))

Publicado: mar. 7, 2023

Edição: v. 24 n. 43 (2022)

Seção Artículo de investigación científica y tecnológica

Palavras-chave: Gestión de TI , Investigación del consumidor , marketing de consumo IT management , Consumer research , Consumer marketing gestão de TI , Pesquisa de consumo , Marketing de consumo

Autores

César Ramiro Chaparro Pinzón Universidad Pedagógica y Tecnológica de Colombia (UPTC Sogamoso)

Resumo

As compras on-line se estabeleceram como um modelo de negócios predominante. O número de compradores on-line no mundo aumentaram: em 2017, 1270 milhões de pessoas; em 2018, 1380 milhões de pessoas; e em 2019, 1480 milhões de pessoas. Na Colômbia, o comércio eletrônico em 2020 aumentou 31 % em relação a 2019, e as vendas do comércio eletrônico representaram 1.8 % do PIB. O objetivo deste artigo é identificar os fatores determinantes da intenção de compra on-line dos consumidores de Boyacá (Colômbia), com base no modelo da teoria unificada de aceitação e uso de tecnologia (UTAUT2). Com um questionário on-line, foram coletados dados de 171 pessoas. Foi utilizado o modelo de equações estruturais (SEM), abordagem PLS-SEM, e sua análise revelou que as variáveis hábito (t = 7.292; p = 0), expectativa de desempenho (t = 3.153; p = 0.002), motivação hedônica (t = 3.019; p = 0.003) e valor por preço (t = 2.620; p = 0.009) são significativos na intenção das pessoas de fazer compras on-line. As variáveis condições facilitadoras, expectativa de esforço e influência social não são significativas para tal comportamento.

Como Citar

Chaparro Pinzón, C. R. (2023). Fatores determinantes para a intenção de compra on-line dos consumidores de Boyacá. Revista Universidad Y Empresa, 24(43), 1–36. https://doi.org/10.12804/revistas.urosario.edu.co/empresa/a.11934

Referências

Abdallah, A., Dwivedi, Y. K., & Rana, N. P. (2017). International journal of information management factors influencing adoption of mobile banking by jordanian bank customers: extending UTAUT2 with trust. International Journal of Information Management, 37(3), 99-110. https://doi.org/10.1016/j.ijinfomgt.2017.01.002

Ain, N., Kaur, K., & Waheed, M. (2015). The influence of learning value on learning management system use: an extension of UTAUT2. Information Development, 32(5). https://doi.org/10.1177/0266666915597546

Alalwan, A. A., Dwivedi, Y. K., & Williams, M. D. (2016). Customers’ intention and adoption of telebanking in Jordan. Information Systems Management, 33(2), 154-178.

Ali, F., Kumar, P., & Hussain, K. (2016). An assessment of students’ acceptance and usage of computer supported collaborative classrooms in hospitality and tourism schools. Journal of Hospitality, Leisure, Sport & Tourism Education, 18, 51-53.

An, L., Han, Y., & Tong, L. (2016). Study on the factors of online shopping intention for fresh agricultural products based on UTAUT2. 2nd Information Technology and Mechatronics Engineering Conference (itoec 2016) Study, (itoec), 303-306.

Baptista, G., & Oliveira, T. (2015). Understanding mobile banking: the unified theory of acceptance and use of technology combined with cultural moderators. Computers in Human Behavior, 50, 418-430. https://doi.org/10.1016/j.chb.2015.04.024

Benitez, J., Henseler, J., Castillo, A., & Schuberth, F. (2020). How to perform and report an impactful analysis using partial least squares: guidelines for confirmatory and explanatory is research. Information & Management, 57(2), 103168. https://doi.org/10.1016/j.im.2019.05.003

Dakduk, S., Santalla-Banderali, Z., & Ribamar, J. (2020). Acceptance of mobile commerce in low-income consumers: evidence from an emerging economy. Heliyon, 6, 1-15. https://doi.org/10.1016/j.heliyon.2020.e05451

Dodds, W., Monroe, K., & Grewal, D. (1991). Effects of price, brand and store information on buyers’ product evaluations. Journal of Marketing Research, XXVIII, 307-319. https://doi.org/10.2307/3172866

Escobar-Rodríguez, T., & Carvajal-Trujillo, E. (2013). Online drivers of consumer purchase of website airline tickets. Journal of Air Transport Management, 32, 58-64. https://doi.org/10.1016/j.jairtraman.2013.06.018

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

Hair, J., Hollingsworth, C. L., Randolph, A. B., & Yee, A. (2017). An updated and expanded assessment of pls-sem in information systems research. Industrial Management & Data Systems, 117(3), 442-458. https://doi.org/10.1108/IMDS-04-2016-0130

Imtiaz, S. (2018). The studies of unified theory of acceptance and use of technology (utaut) in M-commerce context. International Journal of Information Communication Technology and Digital Convergence, 3, 42-56.

Jaller, M., & Pahwa, A. (2020). Evaluating the environmental impacts of online shopping: a behavioral and transportation approach. Transportation Research Part D, 80, 102223. https://doi.org/10.1016/j.trd.2020.102223

Khurana, S., & Jain, D. (2019). Applying and extending UTAUT2 model of adoption of new technology in the context of M-shopping fashion apps. International Journal of Innovative Technology and Exploring Engineering, 8(9), 752-759. https://doi.org/10.35940/ijitee.I1122.0789S19

Limayem, M., Hirt, S. G., & Cheung, C. M. K. (2007). How habit limits the predictive power of intention: the case of infrmation systems continuance. mis Quarterly, 31(4), 705-737. https://kinsta.com/es/blog/etadisticas-ecommerce/

Martínez, M. A., & Fierro, E. M. (2018). Aplicación de la técnica pls-sem en la gestión del conocimiento: un enfoque técnico práctico. Revista Iberoamericana para la Investigación y el Desarrollo Educativo, 8. https://doi.org/10.23913/ride.v8i16.336

Nawaz, S., & Mohamed, R. (2020). Acceptance of mobile learning by higher educational institutions in Sri Lanka: an UTAUT2 approach. Journal of Critical Reviews, 7(12), 1036-1049.

Oliveira, T., Thomas, M. A., Baptista, G., & Campos, F. (2016). Mobile payment: understanding the determinants of customer adoption and intention to recommend the technology.

Computers in Human Behavior, 61, 404-414. https://doi.org/10.1016/j.chb.2016.03.030 Ramirez, E., Arjona, E. P., Osorio, C., & Pareti, S. (2021). Factors influencing the adoption of geolocation and proximity marketing technologies. In Á. Rocha, C. Ferrás, P. C. López-López & T. Guarda (eds.), Information technology and systems. icits 2021. Vol. 1 (pp. 517-525).

Springer. https://doi.org/10.1007/978-3-030-68285-9

Ramírez-Correa, P., Rondan-Cataluña, F. J., Arenas-Gaitan, J., & Martin-Velicia, F. (2019). Analysing the acceptation of online games in mobile devices: an application of UTAUT2. Journal of Retailing and Consumer Services, 50, 85-93. https://doi.org/10.1016/j.jretconser.2019.04.018

Ryan, C. (2020). Refereeing articles including sem - what should referees look for? Tourism Critiques: Practice And Theory, 1(1). https://doi.org/10.1108/TRC-03-2020-0002

Song, C., Woo, S., & Sohn, Y. (2020). Acceptance of public cloud storage services in South Korea: a multi-group analysis. International Journal of Information Management, 51,1-12. https://doi.org/10.1016/j.ijinfomgt.2019.11.003

Tamilmani, K., Rana, N. P., & Dwivedi, Y. K. (2017). A systematic review of citations of UTAUT2 article and its usage trends. In A. Kumar Kar, P. Vigneswara Ilavarasan, M. P. Gupta, Y. K. Dwivedi, M. Mäntymäki, M. Janssen, A. Simintiras & S. Al-Sharhan (Eds.), Digital nations: smart cities, innovation, and sustainability (pp. 38-49). Springer. https://doi.org/10.1007/978-3-319-68557-1

Tamilmani, K., Rana, N. P., & Dwivedi, Y. K. (2020). Consumer acceptance and use of information technology: a meta-analytic evaluation of UTAUT2. Information Systems Frontiers, 23, 987-1005.

United Nations Conference on Trade and Development (unctad). (2020).The unctad B2C E-Commerce Index 2020 Spotlight on Latin America and the Caribbean Nº 17.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: toward a unified view. mis Quarterly, 27(3), 425-478.

Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. mis Quarterly, 36(1), 157-178.

Venkatesh, V., Thong, J. Y. L., & Xu, X. (2016). Unified theory of acceptance and use of technology: a synthesis and the road ahead. Journal of the Association for Information Systems, 17(5), 328-376.

Zulfauzy, A. I., & Rachmawati, I. (2018). Analysis of factors influencing adoption of mobile banking in Indonesia. International Journal of Science and Research, 7(2), 868-874. https://doi.org/10.21275/ART201854

Estatísticas de consulta