Hierarchical cluster model for analyzing factors that motivate online product purchases

Authors

DOI:

https://doi.org/10.46990/relayn.2026.10.2.2782

Keywords:

Electronic commerce, Hierarchical clusters, Purchasing factors

Abstract

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.

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Published

2026-05-29

How to Cite

Olivas Valdez, E., Ibarra Morales, L. E., Casas Medina, E. V., & Pacheco Camacho, O. (2026). Hierarchical cluster model for analyzing factors that motivate online product purchases. Revista RELAYN- Micro Y Pequeñas Empresas En Latinoamérica, 10(2). https://doi.org/10.46990/relayn.2026.10.2.2782