La Influencia Social en las Compras en Línea
Resumen
Palabras clave: Ventas al menudeo, comercio electrónico, aceptación de la tecnología, influencia social
JEL: M39
Social Influence in Online Shopping
Social influence impacts online purchasing decisions. The objective is to determine if consumers are influenced by the groups they have a direct relationship with to change their attitude towards online shopping, and the moderating effect of age, gender, and marital status. The results demonstrate that social influence should be considered when analyzing online purchases, and gender and age moderate its behavior. This study is of scientific importance under the consideration of the impact of technology acceptance in digital processes and particularly the social influence as a construct of validity to explain positive behavior towards online shopping. For professional practice, it allows specialists to understand the influence that close groups have on the buyer's decision and to determine marketing strategies for potential customers who do not use online shopping.
Palabras clave: Retail sales, ecommerce, technology acceptation, social influence.
JEL: M39
Palabras clave
Texto completo:
PDFReferencias
Alfanur, F., & Kadono, Y. (2022). The effects of gender and age on factors that influence purchase intentions and behaviours of e-commerce consumers in Indonesia. International Journal of Innovation and Learning, 31(4), 474-505.
AMVO (2023) Estudio de Ventas Online 2023, el Panorama del Canal Digital, Asociación Mexicana de Venta Online, A.C, consultado en línea en la url https://www.amvo.org.mx/estudios/estudio-sobre-venta-online-en-mexico-2023/
Atanasova, I., & Gerakis, V. (2023). B2C E-Commerce Adoption among Elders in Greece. Review of Applied Socio-Economic Research, 25(1), 112-124.
Azizah, F. D., Nur, A. N., & Putra, A. H. P. K. (2022). Impulsive buying behavior: Implementation of IT on technology acceptance model on E-Commerce purchase decisions. Golden Ratio of Marketing and Applied Psychology of Business, 2(1), 58-72.
Babcock, S (23 de marzo de 2022). 32% of Gen Z consumers shop online daily, The Current, consultado en línea https://thecurrent.media/gen-z-shopping-habits
Bañares, N. A., Go, J. A., Nuñez, M. A., & Taporco, D. P. (2022). The Impact of Purchasing Intentions on Retail Home Improvements in E-Commerce on Generation Y and Z's Brand Engagement. Journal of Business and Management Studies, 4(1), 222-232.
Bawack, R. E., Wamba, S. F., Carillo, K. D. A., & Akter, S. (2022). Artificial intelligence in E-Commerce: a bibliometric study and literature review. Electronic markets, 32(1), 297-338.
Çelik, H. E., & Yilmaz, V. (2011). Extending the technology acceptance model for adoption of e-shopping by consumers in Turkey. Journal of Electronic Commerce Research, 12(2), 152.
Davis, F. (1989). Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quarterly, 13(3), 319-340
Ferrer-Guerra, J., López-Medrano, J. y López-Valdovinos, I. (2023) Percepción de la preparación digital en consumidores de mercados populares, Revista Tecnológica CEA, [Manuscrito no publicado]. Tecnológico Nacional de México en Celaya,
González, J. (2012). Validación de la Teoría Unificada de Aceptación y Uso de la Tecnología UTAUT en castellano en el ámbito de las consultas externas de la Red de Salud Mental de Bizkaia, trabajo de fin de grado, Universidad Oberta de Catalunya.
Higueras-Castillo, E., Liébana-Cabanillas, F. J., & Villarejo-Ramos, Á. F. (2023). Intention to use e-commerce vs physical shopping. Difference between consumers in the post-COVID era. Journal of Business Research, 157, 113622.
Hu, X., Chen, X., & Davison, R. M. (2019). Social support, source credibility, social influence, and impulsive purchase behavior in social commerce. International Journal of Electronic Commerce, 23(3), 297-327. Social support, source credibility, social influence, and impulsive purchase behavior in social commerce. International Journal of Electronic Commerce, 23(3), 297-327.
Hung, S. Y., Ku, C. Y., & Chang, C. M. (2003). Critical factors of WAP services adoption: an empirical study. Electronic commerce research and applications, 2(1), 42-60.
INEGI (2023). Directorio Nacional de Unidades Económicas, Instituto Nacional de Geografía, Estadística e Información, descarga de base de datos masivo en la url: https://www.inegi.org.mx/app/descarga/?ti=6
Kalia, P., Zia, A., & Kaur, K. (2022). Social influence in online retail: A review and research agenda. European Management Journal.
Kanwal, M., Burki, U., Ali, R., & Dahlstrom, R. (2022). Systematic review of gender differences and similarities in online consumers’ shopping behavior. Journal of Consumer Marketing, 39(1), 29-43.
Kim, Y. A., & Srivastava, J. (2007, August). Impact of social influence in e-commerce decision making. In Proceedings of the ninth international conference on Electronic commerce (pp. 293-302).
Lim, W. M. (2022). Toward a theory of social influence in the new normal. Activities, Adaptation & Aging, 46(1), 1-8.
Liu, X. S., Shi, Y., Xue, N. I., & Shen, H. (2022). The impact of time pressure on impulsive buying: The moderating role of consumption type. Tourism management, 91, 104505.
Oberlo (2023) Global Ecommerce Sales Growth (2023–2027), Oberlo.com, consultado en línea
https://www.oberlo.com/statistics/global-ecommerce-sales-growth
Redine, A., Deshpande, S., Jebarajakirthy, C., & Surachartkumtonkun, J. (2023). Impulse buying: A systematic literature review and future research directions. International Journal of Consumer Studies, 47(1), 3-41.
Risberg, A. (2023). A systematic literature review on e-commerce logistics: Towards an e-commerce and omni-channel decision framework. The International Review of Retail, Distribution and Consumer Research, 33(1), 67-91.
Rook, D. W. (1987). The buying impulse. Journal of consumer research, 14(2), 189-199.
Saleem, U., Bilal, M., Topor, D. I., & Căpuṣneanu, S. (2022). The impact of website quality on customer satisfaction and eWOM in online purchase intention: The moderating role of gender in risk-taking. Frontiers in Psychology, 13, 945707.
Setiyani, L., Natalia, I., & Liswadi, G. T. (2023). Analysis of Behavioral Intentions of E-Commerce Shopee Users in Indonesia Using UTAUT2. ADI Journal on Recent Innovation, 4(2), 160-171.
Tobon, S., & García-Madariaga, J. (2021). The influence of opinion leaders’ ewom on online consumer decisions: A study on social influence. Journal of Theoretical and Applied Electronic Commerce Research, 16(4), 748-767.
Venkatesh, V. (2022). Adoption and use of AI tools: a research agenda grounded in UTAUT. Annals of Operations Research, 1-12.
Venkatesh, V. and Bala, H. (2008). Technology Acceptance Model 3 and a Research Agenda on Interventions. Decision Science, 39 (2), 273-312.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.
Venkatesh, V., & Zhang, X. (2010). Unified theory of acceptance and use of technology: US vs. China. Journal of global information technology management, 13(1), 5-27.
Venkatesh, V., Morris, M.G., Davis, F.D., & Davis, G.B. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27, 425-478.
Wang, O., & Somogyi, S. (2019). Determinants for consumer food choice with the New Retail e-commerce mode (No. 2186-2019-1368).
Warganegara, D. L., & Babolian Hendijani, R. (2022). Factors that drive actual purchasing of groceries through e-commerce platforms during COVID-19 in Indonesia. Sustainability, 14(6), 3235.
Zerbini, C., Bijmolt, T. H., Maestripieri, S., & Luceri, B. (2022). Drivers of consumer adoption of e-Commerce: A meta-analysis. International Journal of Research in Marketing, 39(4), 1186-1208.
Copyright (c) 2025 Julián Ferrer Guerra, Alejandro Guerrero Barrón, Oscar Grimaldo Aguayo
Este obra está bajo una licencia de Creative Commons Reconocimiento-NoComercial 4.0 Internacional.