This study examines the perceived consumption values influencing consumer attitudes and purchase intentions toward upcycled food. Study one involved an online survey of 309 college students, utilizing multiple regression analysis to identify major determinants of attitude and purchase intention toward upcycled food. The second study used Textom text mining analysis, collecting consumer comments on upcycled food from popular South Korean platforms (Daum and Naver) between a period of two years. Keyword frequency and convergence of iterated correlations (CONCOR) analyses were used to determine consumer perceptions of upcycled food. Results from the multiple regression analysis revealed that emotional, epistemic, and health values significantly impacted attitude, while economic, emotional, and epistemic values positively influenced purchase intention. Additionally, text mining classified the derived consumption value keywords into the four independent domains in the study. CONCOR network analysis revealed two clusters with strong correlations between upcycled food and terms such as “functionality,” “health,” “high added value,” and “innovation”. These underscore the critical role of perceived consumption values in shaping consumers' attitudes and purchase intention for upcycled food. Based on these insights, we suggest a need for a more emotional and epistemically-focused marketing strategy while ensuring product transparency that can contribute to acceptance of upcycled food products.
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