It’s real,trust me! Establishing supply chain provenance using blockchain

In a global marketplace, customers are often unaware of the exact sources of the products they purchase and consume. To address this lack of awareness, blockchain technology can be implemented in supply chains to increase customers’ knowledge of products’ provenance. Provenance knowledge—information about products’ origin, production, modifications, and custody—enables customers to be assured of their purchasing decisions. This assurance comes from information on the origin, authenticity, custody, and integrity of the product that helps reduce risk perceptions. We develop a provenance knowledge framework and show how its application can enhance assurances and reduce perceived risks via the application of blockchain. We present a guide on how to implement blockchain to establish provenance knowledge and close with a kind warning on the importance of demonstrating the value of blockchain to customers.     

The Struggle is Real: Insights from a Supply Chain Blockchain Case

Despite the anticipated benefits and the numerous announcements of pilot cases, we have seen very few successful implementations of blockchain technology (BCT) solutions in supply chains. Little is empirically known about the obstacles to blockchain adoption, particularly in a supply chain's interorganizational setting. In supply chains, blockchains' benefits, for example, BCT‐based tracking and tracing, are dependent on a critical mass of supply chain actors adopting the technology. While previous research has mainly been conceptual and has lacked both theory and empirical data, we propose a theory‐based model for interorganizational adoption of BCT. We use the proposed model to analyze a unique in‐depth revelatory case study. Our case study confirms previous conceptual work and reveals a paradox as well as several tensions between drivers for and against (positive and negative determining factors, respectively) of BCT adoption that must be managed in an interorganizational setting. In this vertical context, the adoption and integration decision of one supply chain actor recursively affects the adoption and integration decisions of the other supply chain actors. This paper contributes midrange theory on BCT in supply chain management (SCM), future research directions, and managerial insights on BCT adoption in supply chains.