Enhancing consumer experience in food delivery through hybrid analytical models
Abstract
Purpose This study examines the influence of food biosafety measures (FBM), electronic-service quality (e-SQ), product quality (PQ) and brand image (BI) on electronic-consumer satisfaction (e-CS) and electronic-loyalty (e-LO) in online food delivery services (OFDS). It aims to identify key determinants of consumer behaviour and provide strategic recommendations for improving customer retention. Design/methodology/approach A hybrid approach combining structural equation modelling (SEM) and artificial neural networks (ANN) analysed data from 1, 709 participants in five Colombian cities. SEM evaluated linear relationships, while ANN explored nonlinear interactions and predictor importance. Findings FBM and PQ emerged as the most significant drivers of e-CS and e-LO, with FBM exerting the strongest influence. e-SQ had a smaller positive effect on e-CS, while BI unexpectedly showed a negative relationship with both outcomes, suggesting tangible attributes outweigh brand perception. These findings stress prioritizing safety and quality over branding. Originality/value This research applies the behavioural perspective model (BPM) to digital food delivery, highlighting how utilitarian and informational reinforcers shape satisfaction and loyalty. The hybrid SEMANN model captures both causal and nonlinear patterns, enhancing predictive precision. It contributes novel insights into loyalty formation within OFDS. © 2025 Emerald Publishing Limited
Más información
| Título según WOS: | Enhancing consumer experience in food delivery through hybrid analytical models |
| Título según SCOPUS: | Enhancing consumer experience in food delivery through hybrid analytical models |
| Título de la Revista: | British Food Journal |
| Editorial: | Emerald Publishing |
| Fecha de publicación: | 2025 |
| Página de inicio: | 1 |
| Página final: | 15 |
| Idioma: | English |
| DOI: |
10.1108/BFJ-07-2025-0939 |
| Notas: | ISI, SCOPUS |