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Understanding young adults’ organic food purchasing behavior in the fresh food e-commerce platforms (FFEP) is crucial for expanding the global environmental product market. The study aims to investigate how specific characteristics of platforms and organic food information impact young adults’ perceived value, leading to their subsequent purchase intention.

Around 535 valid responses were collected through an online survey and then analyzed applying a two-stage structural equation model (SEM) and artificial neural network (ANN) approach.

Results of this research show that platform characteristics (including system quality and evaluation system) and product information characteristics (including organic label, ingredient information and traceability information) significantly affect young adults’ perceived utilitarian and hedonic value. The platform’s service quality has a strong effect on their perceptions of hedonic value, while the delivery system strongly influences their utilitarian value. Moreover, the perceived value, as a crucial mediator, plays a significant role in moderating the influence of platform and product information characteristics on the purchase intentions of young consumers regarding organic food.

Previous research has overlooked the credence attributes of organic food and particularities of online purchasing, focusing instead on general platform and product characteristics. This study addresses this gap by proposing a more appropriate model that integrates the characteristics of both the platform and product information. This offers theoretical and managerial implications for effectively stimulating organic food consumption among young adults in online environments.

Introduction: Globalization and customer expectations have made managing the supply chain challenging. Blockchain technology has enhanced visibility, accountability, and safety in supply Chain management (SCM), which helps overcome various issues. The research aims to provide insight into Blockchain technology for improving supply chains toward sustainability in the retail sector. This study describes how clients and merchants in various retail business activities may significantly utilize Blockchain technology. From manufacturer to consumer, blockchain can track materials. It ensures product authenticity, transparency, and retail supply chain trust. Retail items are tracked before they reach customers to assess quality and discard expired items, building client confidence. Retail personnel’ SC (Supply Chain) blockchain adoption aspirations are examined in this study.

Methodology: This study validates SCM blockchain adoption using an adjusted UTUAT (Unified Theory of Acceptance and Use of Technology) model. This study examines how blockchain adoption improves employee performance using the UTUAT Model. Data was evaluated using exploratory factor and structural equation modeling.

Result: Behavioural intention was significantly associated with BCT (Block Chain Technology) in retail SCM.

Practical Implications: The following factors influence the behavioral intent to utilize the technology: performance expectations, affect expectations, subjective standards, and favorable conditions, which have a significant impact on adoption.

Conclusion: Performance and effort assumptions affect SCM blockchain adoption behavior.