Marketplace Mobile Applications: Predictors of Repurchase from the S-O-R Model Perspective

Fernández-Blanco A.; Condori-Toncconi G.; Munayco-Abanto L. · Smart Innovation, Systems and Technologies (2025) · DOI: 10.1007/978-981-96-3077-6_36

Resumen

The increasing use of mobile applications has changed consumer behavior and boosted mobile commerce in Latin America. However, it has also presented challenges in ensuring continuous purchases. This study explores the influence of monetary savings, structural assurance, relative advantage, and timeliness on repurchase intention through perceived value and electronic satisfaction when using mobile marketplace applications. A quantitative approach uses the structural equation modeling (SEM) method with a sample of 480 valid responses. The results highlight the significant influence of relative advantage and timeliness in the stimulus component, and electronic satisfaction as a key predictor of repurchase intention. This research contributes to expanding knowledge in the field of mobile apps, using the SOR paradigm, to understand online purchasing behavior in an emerging market with different economic and cultural characteristics. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

Instituciones: Universidad Peruana de Ciencias Aplicadas