Hierarchical cluster model for analyzing factors that motivate online product purchases
DOI:
https://doi.org/10.46990/relayn.2026.10.2.2782Keywords:
Electronic commerce, Hierarchical clusters, Purchasing factorsAbstract
This research analyzed the factors that influence online product purchases by consumers in Hermosillo, Sonora State, with the aim of identifying groups with similar consumer characteristics thereby generating useful information for the business sector. A hierarchical cluster model was developed using the statistical software SPSS (Statistical Package for the Social Sciences) and a database of 704 survey responses. The quantitative model obtained identified three groups of consumers with similar characteristics. This allows product sellers to develop more effective internet sales strategies based on a greater understanding of potential buyers.
Downloads
References
Castaño-Herrera, D., Gómez, J., & Garrido, L. (2025). How does e-commerce impact shopping mobility behavior? Transportation. https://doi.org/10.1007/s11116-025-10658-x
Conte Solano, J. C., Cano Sevilla, F., García Felipe, A. I., Molina Membreño, A., & Rubio Calvo, E. (2008). Interpretación de las relaciones intragrupales de riesgos y de lesiones mediante análisis clúster jerárquico. Revista de Matemática: Teoría y Aplicaciones, 15(2), 175–186. https://doi.org/10.15517/rmta.v15i2.39389
Gulzar, B., Sofi, S. A., & Sholla, S. (2025). Convergence of personal internet of things into social internet of things. Cluster Computing, 28, 277. https://doi.org/10.1007/s10586-024-04997-0
He, Y. (2024). E-commerce and foreign direct investment: Pioneering a new era of trade strategies. Humanities and Social Sciences Communications, 11, 566. https://doi.org/10.1057/s41599-024-03062-w
McMenemy, D. (2022). Internet Access and Bridging the Digital Divide: The Crucial Role of Universal Service Obligations in Telecom Policy. En M. Smits (Ed), Information for a Better World: Shaping the Global Future (Vol. 13192, pp. 12–24). Lecture Notes in Computer Science, https://doi.org/10.1007/978-3-030-96957-8_12
Miranda, A., & Cruz, I. (2024). Factores del comercio social que contribuyen en la decisión de compra del consumidor millennial del estado de Baja California. Acta Universitaria, 34, 1–19. https://doi.org/10.15174/au.2024.3922
Moghddam, H., Ahmadi, H., & Barari, M. (2025). Decoding online brand-related activities: Unveiling motivations, experiences, and personality factors in social commerce. Electronic Commerce Research. https://doi.org/10.1007/s10660-024-09946-y
Olivas, E., Carrillo, E., Casas, E. V., & Ibarra, L. E. (2023). Educación financiera e ingreso en Hermosillo, Sonora: Un estudio con perspectiva de género. Revista RELAYN-Micro y Pequeña Empresa en Latinoamérica, 7(4), 65–77. https://doi.org/10.46990/relayn.2023.7.4.1132
Olivas, E., Ibarra, L., & Alonso, L. (2018). Conglomerados jerárquicos en la industria aeroespacial de Sonora. XXIII Congreso Internacional de Contaduría, Administración e Informática. Ciudad Universitaria, Ciudad de México, México. https://repositorios.fca.unam.mx/investigacion/memorias/2018/9.02.pdf
Paun, C., Ivascu, C., Olteteanu, A., & Dantis, D. (2024). The main drivers of e-commerce adoption: A global panel data analysis. Journal of Theoretical and Applied Electronic Commerce Research, 19(3), 2198–2217. https://doi.org/10.3390/jtaer19030107
Sotomayor, D., Delgado, A., & Tonon, L. (2021). Compras en línea durante la crisis sanitaria por COVID-19: Estudio exploratorio sobre la conducta del consumidor en Quito-Ecuador. UDA AKADEM, 8, 42–65. https://doi.org/10.33324/udaakadem.vi8.437
RELDI. (2025). Red de Estudios Latinoamericanos de Internet: Proyecto de investigación ¿Cómo y para qué navegamos los latinoamericanos en Internet? Resultados de un estudio multifuncional a través del método cuantitativo. https://reldi.redesla.la/
Tang, Z., Hua, G., Li, X. & Cheng, E. (2025). E-Commerce Platforms Offer Different Free Shipping Coupon Services: Surplus or Loss? Journal of Systems Science Complexity. https://doi.org/10.1007/s11424-025-4026-6
Tanlim, V., & Setiawan, T. (2024). Measuring customers loyalty through satisfaction in e-commerce: An empirical study on Tokopedia. Jurnal Manajemen, 28(3), 567–587. https://doi.org/10.24912/jm.v28i3.1967
Wagan, S., & Sidra, S. (2024). Unraveling purchase intentions: The interplay of cognitive dissonance, seller reputation, and user-generated content in social e-commerce. International Journal of Business Reflections, 5(2), 169–199. https://doi.org/10.56249/ijbr.03.01.56
Li, T., Wang, S., & Zhou, D. (2025). Consumer attention and market concentration in e-commerce: An agent-based perspective. Journal of Economic Interaction and Coordination. https://doi.org/10.1007/s11403-025-00443-5
Wang, O., Perez-Cueto, F., & Scrimgeour, F. (2024). E-commerce food choice in the west: Comparing business-to-consumer, online-to-offline food delivery service, and click and collect. Electronic Commerce Research. https://doi.org/10.1007/s10660-024-09806-9
Xin, Y., Fan, T., Song, Y. & Zheng, W. (2024). The impact of live streaming on competitive e-commerce. Electron Commerce Reearch, 24, 1215–1234. https://doi.org/10.1007/s10660-024-09853-2


















