Blockchain Adoption for Provenance and Traceability in the Retail Food Supply Chain

Nishant Kumar · Kamal Upreti · Divya Mohan

51 citations0/0 files storedInternational Journal of E-Business Research

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Technology Adoption and User Behaviour Blockchain Technology Applications and Security Food Supply Chain Traceability

Abstract

Blockchain has evolved as one of the disruptive technologies in the landscape of business. The study aims to investigate drivers of consumer adoption of blockchain for product origin and track to trace history before making a purchase. An extended technology adoption model (TAM) has been proposed to examine the consumer perspective for blockchain adoption in the food supply chain. Based on the survey of 208 retail consumers the proposed model was validated using variance-based structure equation modeling. Findings of the study emphasize the significant role of perceived security and privacy in developing trust, ease of use, and usefulness of blockchain-enabled systems. The relationship between perceived ease of use and attitude is mediated through perceived usefulness. The strong influence of attitude on adoption intention represents the consumer interest for blockchain to understand the product provenance. Study provides vital insights for successful blockchain implementation to enhance supply chain effectiveness.

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References

1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology 2003User Acceptance of Information Technology: Toward A Unified View1 1980Understanding Attitudes and Predicting Social Behavior 1989User Acceptance of Computer Technology: A Comparison of Two Theoretical Models 2012Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 1998The partial least squares approach for structural equation modeling.2014Partial least squares structural equation modeling (PLS-SEM)2015Common Method Bias in PLS-SEM

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