Construction of rice supply chain supervision model driven by blockchain smart contract

Peng, Xiangzhen; Zhang, Xin; Wang, Xiaoyi; Li, Haisheng; Xu, Jiping; Zhao, Zhiyao

doi:10.1038/s41598-022-25559-7

Cited by 10 publications

(7 citation statements)

References 49 publications

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“…Peng et al [ 62 ] presented a dynamic supervision model for the rice supply chain, including an initialization module, a supervision module, and a storage module ( Figure 3 ). The initialization module classifies participants into enterprises, consumers, and regulatory agencies, further splitting enterprises into six categories and sub-nodes.…”

Section: Findings and Discussionmentioning

confidence: 99%

“…Collecting environmental data through IoT devices also provides insights for optimizing farming practices, including irrigation and fertilization decisions, thereby improving farm productivity [ 60 , 61 , 62 , 63 , 64 ]. The marriage of blockchain and big data secures data exchange and provides timely demand information, drawing significant attention from stakeholders and promising substantial benefits in risk minimization [ 69 ].…”

Section: Findings and Discussionmentioning

confidence: 99%

“… Dynamic supervision model for the rice supply chain [ 62 ]. Used under a Creative Commons Attribution 4.0 International License.…”

Section: Figurementioning

confidence: 99%

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Blockchain-Based Frameworks for Food Traceability: A Systematic Review

Ellahi

Wood

Bekhit

2023

Foods

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With the rise of globalization and technological competition, the food supply chain has grown more complex due to the multiple players and factors involved in the chain. Traditional systems fail to offer effective and reliable traceability solutions considering the increasing requirement for accountability and transparency in the food supply chain. Blockchain technology has been claimed to offer the food industry a transformative future. The inherent features of blockchain, including immutability and transparency, create a dependable and secure system for tracking food products across the whole supply chain, ensuring total control over their traceability from the origin to the final consumer. This research offers a comprehensive overview of multiple models to understand how the integration of blockchain and other digital technologies has transformed the food supply chain. This comprehensive systematic review of blockchain-based food-supply-chain frameworks aimed to uncover the capability of blockchain technology to revolutionize the industry and examined the current landscape of blockchain-based food traceability solutions to identify areas for improvement. Furthermore, the research investigates recent advancements and investigates how blockchain aligns with other emerging technologies of Industry 4.0 and Web 3.0. Blockchain technology plays an important role in improving food traceability and supply-chain operations. Potential synergies between blockchain and other emerging technologies of Industry 4.0 and Web 3.0 are digitizing food supply chains, which results in better management, automation, efficiencies, sustainability, verifiability, auditability, accountability, traceability, transparency, tracking, monitoring, response times and provenance across food supply chains.

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Section: Findings and Discussionmentioning

confidence: 99%

Section: Findings and Discussionmentioning

confidence: 99%

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Blockchain-Based Frameworks for Food Traceability: A Systematic Review

Ellahi

Wood

Bekhit

2023

Foods

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“…Credit supervision is introduced to agricultural product quality and safety, and a credit supervision and assessment system is established around the behavior of agricultural subjects to guarantee agricultural product quality and safety. The blockchain-based credit assessment smart contract regulatory model can realize dynamic and credible supervision of the entire life cycle of the supply chain at the information level, and its application to the digital management of the agricultural supply chain can strengthen the digital regulation of the agricultural industry (Peng et al ., 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

Research of blockchain-embedded agricultural quality credit regulation influencing factors

Zhan,

Wan

2024

IMDS

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PurposeThe credit of agricultural product quality and safety reflects the ability of the main actors involved in the supply chain to provide reliable agricultural products to consumers. To fundamentally solve the problem of agricultural product quality and safety, it is worth studying how to make the credit awareness and integrity self-discipline of the supply chain agriculture-related subjects strengthened and the role and value of credit supervision given full play. Starting from the application of blockchain in the agricultural product supply chain, this paper aims to investigate the main factors affecting the credit regulation of agricultural product quality.Design/methodology/approachUsing the DEMATEL-ISM (decision-making trial and evaluation laboratory–interpretative structural modeling) method, we analyze the credit influencing factors of agricultural quality and safety empowered by blockchain technology, find the causal relationship between the crucial influencing factors and deeply explore the hierarchical transmission relationship between the influencing factors. Then, the path analysis in structural equation modeling is utilized to verify and measure the significance and effect value of the transmission relationship among the crucial influencing factors of credit regulation.FindingsThe results show that the quality and safety credit regulation of agricultural products is influenced by a combination of direct and deep influencing factors. Long-term stable cooperative relationship, Quality and safety credit evaluation, Supply chain risk control ability, Quality and safety testing, Constraints of the smart contract are the main influence path of blockchain embedded in agricultural product supply chain quality and safety credit supervision.Originality/valueCredit supervision is an important means to improve the ability and level of social governance and standardize the market order. From the perspective of blockchain embedded in the agricultural supply chain, the regulatory body is transformed from the product body to the supply chain body. Take the credit supervision of supply chain subjects as the basis of agricultural product quality supervision. With the help of blockchain technology to improve the effectiveness of agricultural product quality and safety credit supervision, credit supervision is used to constrain and incentivize the behavior of agricultural subjects.

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“…the complexity of these factors poses a significant challenge" [1] (p. 1). For example, Peng et al [2] identified approximately 13 steps in the rice supply chain from the plant to purchase, storage, processing, transport, storage, and sale. Therefore, the food system's complexity represents a unique context within which individual actors may include smallholder farmers, commercial scale farmers, input providers such as seed and fertilizer individuals, financial service providers, policymakers, or food system regulators [3].…”

Section: Introductionmentioning

confidence: 99%

Assessing Leadership Capacity in the Food System: The Issue Leadership Scale

Lamm

2023

Foods

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The food system represents a complex, interrelated, and interdependent network of individuals and organizations. Despite the unique characteristics of the food system domain, there has never been a comprehensive analysis of leadership capacity amongst food system professionals. The present study provides an empirical assessment of food system leadership capacity using many leadership instruments. The study included pilot (n = 125) and primary (n = 4185) data collection across 27 food system-related leadership development programs. The results validate the Issue Leadership scale, which comprises seven capacity areas: action, change, communication, critical thinking, strategic planning and visioning, interpersonal traits and characteristics, leadership process, and leadership skills. The Issue Leadership scale captures both perception of importance and current skill level. The study results indicate that food system professionals perceived communication and critical thinking, strategic planning and visioning as the most important leadership capacity areas. Furthermore, respondents indicated the highest level of self-perceived skill in critical thinking, strategic planning and visioning, and interpersonal traits and characteristics. Overall, respondents had higher perceived importance levels (m = 4.17) than skill (m = 3.44), indicating the need for additional leadership capacity development amongst food system professionals. Respondents also indicated similar levels of opinion leadership (m = 3.92), servant leadership (m = 3.82), transformational leadership (m = 3.78), and transactional leadership (m = 3.70), providing an additional empirical assessment of food system professional leadership capacity.

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Construction of rice supply chain supervision model driven by blockchain smart contract

Cited by 10 publications

References 49 publications

Blockchain-Based Frameworks for Food Traceability: A Systematic Review

Blockchain-Based Frameworks for Food Traceability: A Systematic Review

Research of blockchain-embedded agricultural quality credit regulation influencing factors

Assessing Leadership Capacity in the Food System: The Issue Leadership Scale

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