Saltar al contenido
República del Perú · Observatorio de la producción científica universitaria
OApol.org Observatorio de Inteligencia Científica Universitaria del Perú
OApol.org
Inicio Universidades Publicaciones Investigadores
Repositorios
Tesis y trabajos académicosRevistas
Indicadores
Ranking trimestralRanking por carreraObjetivos de Desarrollo SostenibleReporte OCDERed neuronal 3D
Acerca
MetodologíaPrivacidad

Long-legged: Modeling the purchase intention of arachnid-based foods using BRT

Del-Aguila-Arcentales S.; Alvarez-Risco A.; Meza-Perez H.; Ruiz-Cordero A.; Huamán-Pastorelli S.; Ramirez-Corzo J.; Dominguez-Cirilo O. · International Journal of Gastronomy and Food Science (2026) · DOI: 10.1016/j.ijgfs.2026.101514

Resumen

This study aims to analyze the association of perceived benefits and perceived risks with attitude, subjective norms, perceived behavioral control, and the association of payment preference with purchase intention for arachnid-based foods. A correlational and non-experimental design was used to collect data from 331 consumers. To test the statistical significance of the associations, a multivariate technique was employed. It used the Behavioral Reasoning Theory (BRT) in the theoretical framework. Perceived benefit (0.706) and perceived risks (−0.140) have a significant association with attitude; perceived benefit (0.537) and perceived risks (−0.189) have a significant association with subjective norms. Attitude (0.319), subjective norms (0.418) and payment preference (0.171) have a significant association with purchase intention. These outcomes highlight the valuable contribution to firms that sell arachnid-based foods by explaining the factors that can be influenced to increase customer intention. The current research offers practical insights for managers and company owners to develop more effective marketing strategies and to emphasize the benefits of these products. This study is one of the few carried out in emerging countries and the first to integrate BRT as a supporting theoretical framework.

Instituciones: Universidad San Ignacio de Loyola; Universidad Tecnológica del Perú