Blockchain-based food supply chain traceability: a case study in the dairy sector

Casino, Fran; Kanakaris, Venetis; Dasaklis, Thomas K.; Moschuris, Socrates J.; Stachtiaris, Spiros; Pagoni, Maria; Rachaniotis, Nikolaos P.

doi:10.1080/00207543.2020.1789238

Cited by 249 publications

(159 citation statements)

References 42 publications

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“…Furthermore, fishing companies are now required to report annually about slavery and human trafficking in the US and UK (Howson 2020). Under the pressure of regulations becoming stricter on multiple fronts, firms in the food industry are pressured to explore Blockchain for better compliance to the requirements (Casino et al 2020), as the technology can help track a product through multiple stages and provide reliable records of sustainable practices.…”

Section: Pressure From Regulations Fscs Have Always Beenmentioning

confidence: 99%

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Blockchain adoption in food supply chains: a review and implementation framework

Ghadge

Bourlakis

2021

Production Planning & Control

122

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Blockchain technology has received significant attention from the food industry; however, due to the scarcity of successful Blockchain projects and sector-specific studies, a step-by-step approach for implementing Blockchain in food supply chains (FSCs) is still missing. A systematic literature review of 69 high-quality, peer-reviewed articles is utilized to capture Blockchain adoption drivers and barriers, applications, and implementation stages within FSCs. Current Blockchain issues such as scalability, regulations, privacy, and incentivization are identified as future research opportunities. Following innovation adoption theory, a three-stage conceptual framework for Blockchain implementation in FSCs is developed. The proposed framework is novel and is expected to benefit food chain managers in establishing the suitability of Blockchain for their organization and/or wider supply network. Identified influential factors, case examples, and implementation stages are expected to guide practitioners in developing a roadmap for adopting Blockchain in the food industry.

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Section: Pressure From Regulations Fscs Have Always Beenmentioning

confidence: 99%

“…Upon testing, Blockchain effectively accelerated the process of validating credibility while it also increased the trustworthiness of the results. Casino et al (2020) used a pilot case of local private Blockchain for dairy products to demonstrate how the smart contract can lubricate the handling of traceability.…”

Section: Process Optimizationmentioning

confidence: 99%

Blockchain adoption in food supply chains: a review and implementation framework

Ghadge

Bourlakis

2021

Production Planning & Control

122

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“…The flexibility in BC-T enabled FSCs will be relying neither on the identity of the participants nor on whether the participant change over time making the network flexible network an independent from central authority (Kamilaris et al 2019). Resilience refers to the redundance o_f the stored information that leads to robustness against malicious attacks as well as censorship it is the aforementioned characteristics of trust, shared availability, low friction due to the cut-out of trusted middle men, peer verification, underlying cryptography, immutability, decentralization, redundancy, versatility, and the potential for automation that all blockchains share (Casino et al 2020).…”

Section: Findings and Discussionmentioning

confidence: 99%

Managing disruptions and risks amidst COVID-19 outbreaks: role of blockchain technology in developing resilient food supply chains

Sharma

Joshi

Luthra³

2021

Oper Manag Res

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This study attempts to present a contribution of Blockchain Technology (BC-T) in managing disruptions, and risk caused by the COVID-19 outbreaks and extending profound support in developing resilient Food Supply Chains (FSCs). The effects of the pandemic can be witnessed on global supply chains in their demand & supply side disruptions and in the changing patterns of consumer buying in the food industry. The assessment of the disruptive factors is required to explore the present issues and promising resilient strategies to impart robustness to the FSCs for mitigating disruptions in the future. An integrated approach of Fuzzy Analytic Hierarchy Process (FAHP) and Weighted Assessment Sum Product Assessment (WASPAS) is employed to assess the factors related to sourcing, lean, workforce, and flexibility, as well as evaluation of the BC-T enabled FSCs resilient strategies that mitigate the effect of disruption during the pandemic. The findings exhibit that 'Sourcing related' is the most affecting disruptive factor causing distress in the FSCs and 'flexibility resilient strategy' is the most relevant resilient strategy for BC-T enabled FSCs. The BC-T acts as a catalyst in enhancing the flexibility, traceability, and shorter supply chain network structure that may help the FSCs to mitigate risk and disruption in the pandemic situation. The BC-T helps the FSCs to control the demand and supply shocks, and supports the organization with real-time monitoring and sharing information. This study provides insights to the decision-makers, managers, and other stakeholders to take significant decisions during an emergency.

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“…This functionality can prevent food quality requirements from being compromised and improve efficiency in validating information in the SC (Sternberg et al , 2020; Tan et al , 2020). Studies have proposed different smart contracts depending on the type of activity (Casino et al , 2020; Shahid et al , 2020). Casino et al (2020) suggested applications related to raw materials and the history in the production process, distribution and location; the ownership of the product and its interactions; and the enabling of tasks and accesses.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Blockchain in operations for food service distribution: steps before implementation

Vivaldini

2021

IJLM

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PurposeConsidering the importance of a safe food chain for consumers and the advent of blockchain technology (BT), this research studies a food service (FS) distributor. The research aims to understand the implications related to the functional processes of distribution in FS in which it would be possible to use blockchain to achieve agility, transparency of information and improvements in food safety.Design/methodology/approachFirstly, theory regarding blockchain technology in the supply chain (BT-SC) and FS was analyzed to contextualize the theme conceptually. A single case study including 11 supply chain companies was applied in a BT implementation study in an FS distributor.FindingsInvestment in infrastructure is often identified as a barrier to adoption of BT-SC. This was, however, not found in this case. Furthermore, the validation of users was only necessary for those parties directly participating in the process or information input. Finally, findings differentiate between qualifying criteria and operational processes when considering BT projects in FS.Research limitations/implicationsThe findings are restricted to this single case that provided an in-depth understanding of the topic. Statistical generalization is not possible at this stage of the research.Practical implicationsThe study is a practical example and can provide several insights to anyone looking to implement BT in their SC.Social implicationsThe social importance of the study lies in the importance of FS in the food sector, and by presenting ways that contribute to mitigating risks to consumers.Originality/valueReal-life cases of application of BT-SC illustrate its functionalities in operational processes.

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Blockchain-based food supply chain traceability: a case study in the dairy sector

Cited by 249 publications

References 42 publications

Blockchain adoption in food supply chains: a review and implementation framework

Blockchain adoption in food supply chains: a review and implementation framework

Managing disruptions and risks amidst COVID-19 outbreaks: role of blockchain technology in developing resilient food supply chains

Blockchain in operations for food service distribution: steps before implementation

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