Amid growing concerns about food safety, consumers are increasingly attentive to the origins and quality of the food they purchase. As a result, traceability methods that provide clear and transparent product information have gained significant attent...
Amid growing concerns about food safety, consumers are increasingly attentive to the origins and quality of the food they purchase. As a result, traceability methods that provide clear and transparent product information have gained significant attention. This study examines how a blockchain-based food traceability system can enhance consumer trust in organic food, shape more favorable attitudes, and ultimately increase purchase intention. This study establishes a theoretical model grounded in trust theory and the Theory of Planned Behavior. It focuses on investigating whether consumer perceptions exert a sequential mediating effect on purchase intention within food traceability systems. Through a questionnaire survey of Chinese consumers, factor analysis, reliability and validity testing, and multiple mediating effect analysis were conducted using SPSS, AMOS, and PROCESS Macro (Model 6). Results indicate that enhancing consumer trust fosters positive attitudes toward products, thereby strengthening purchase intention. Numerous consumer studies have demonstrated the validity of the pathway from trust to attitude to purchase intention. Additionally, the findings indicate that food information transparency is crucial, as it not only enhances consumer trust but also encourages healthier food choices. Simultaneously, this research offers valuable insights for relevant enterprises and industry experts: optimizing blockchain-based food traceability systems can effectively enhance consumer experience while strengthening mutual trust relationships.