2020
DOI: 10.1108/scm-08-2019-0300
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Blockchain: case studies in food supply chain visibility

Abstract: Purpose This paper aims to investigate how blockchain has moved beyond cryptocurrencies and is being deployed to enhance visibility and trust in supply chains, their limitations and potential impact. Design/methodology/approach Qualitative analysis are undertaken via case studies drawn from food companies using semi-structured interviews. Findings Blockchain is demonstrated as an enabler of visibility in supply chains. Applications at scale are most likely for products where the end consumer is prepared to… Show more

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Cited by 285 publications
(246 citation statements)
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References 114 publications
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“…This is because blockchain is a decentralized record-keeping system [8,9]. Many industries, such as the food industry, employ this function to their supply chains based on blockchain technology [13,14]. Particularly, blockchain technology can manage inventory appropriately while tracking cargo and recording and managing cargo history.…”
Section: Reliability and Securitymentioning
confidence: 99%
“…This is because blockchain is a decentralized record-keeping system [8,9]. Many industries, such as the food industry, employ this function to their supply chains based on blockchain technology [13,14]. Particularly, blockchain technology can manage inventory appropriately while tracking cargo and recording and managing cargo history.…”
Section: Reliability and Securitymentioning
confidence: 99%
“…The dichotomy of stages is found to vary between models. According to Rogers Everett (1995), the adoption of innovation unfolds in five stages: knowledge, persuasion, decision, implementation, and confirmation. Drawing on the technological diffusion perspective, Kwon and Zmud (1987) and Cooper and Zmud (1990) constructed a model for IT implementation comprising six steps: initiation, adoption, adaptation, acceptance, routinization, and infusion.…”
Section: Defining Stages and Determinants Of Blockchain Implementationmentioning
confidence: 99%
“…Data stored or verified by a ledger may be of poor quality or lack accuracy (Thompson, 2019), due to both fraud and human input error (O'Leary, 2017). Blockchain has been described as the "trust machine," but this "halo of truth" may lead to a "lack of questioning of the data" (Rogerson and Parry, 2020). There is a need to develop technical understanding and confidence in individuals, so they work with the technology, neither directly accepting or rejecting data, but questioning what it says and why (Brynjolfsson and McAfee, 2012).…”
Section: Issues Of Trust and Privacymentioning
confidence: 99%