Toward an ontology-driven blockchain design for supply-chain provenance
By Henry M. Kim, M. Laskowski. Intell. Syst. Account. Finance Manag., 2018
712 citations recorded by the source corpus.
Subfields: Food Science, Information Systems, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/44ee1bf827396f8a08f54be78e1b868c11de23bc
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Food Science
- Sachin S. Kamble
- Angappa Gunasekaran
- Himanshu Arha
- Gabriella M. Hastig
- Yichian Chen
- Evgenia F. Adamopoulou
- Konstantinos P. Demestichas
- Nikolaos Peppes
In Information Systems
- Dinh C. Nguyen
- Pubudu N. Pathirana
- Yong Yuan
- Feiyue Wang
- Himanshu Arha
- Rosanna Cole
- Mihaela Rit
- Mark Stevenson
In Molecular Biology
Citations in the corpus
- Blockchain for Supply Chain Traceability: Business Requirements and Critical Success Factors (2020, background): “Despite communications technology, many companies do not share demand information upstream, causing inventory and order levels to fluctuate widely across the supply chain (Kim and Laskowski 2018).”
- A Survey on Blockchain for Big Data: Approaches, Opportunities, and Future Directions (2020, background): “rovenance. Provenance is a blockchain platform mainly used in supply chain management that helps to gather important product information and shares the same in a trusted, secure and accessible manner [93]. The blockchain architecture used encompasses of six participants namely - the producer, the ma”
- Blockchain in the built environment and construction industry: A systematic review, conceptual models and practical use cases (2019, background): “, 2017b); reforming procurement practices and supply chain activities through tracking of goods and services from provenance to insitu use (Kim and Laskowski, 2016; Geipel, 2017); integration with BIM to generate networked ledgers of engineering information (IEBC, 2018); supporting BIM through smart”
- Blockchain technology: implications for operations and supply chain management (2019, background): “Blockchain technologies promise to offer highly secure and immutable access to supply chain data because the databases are decentralised so that authenticity can be evaluated even when no single party is able to claim ownership of the supply chain’s data (Kim and Laskowski, 2016).”
- Making sense of blockchain technology: How will it transform supply chains? (2019, background): “This immutability is due to the technology’s distributed consensus characteristics, where only one true, verified version of the data is stored among all members of the network (Kim and Laskowski, 2016).”
- Blockchain for Internet of Things: A Survey (2019, background): “Moreover, the work of [72] presents a traceability ontology with the integration of IoT and blockchain technologies based on”
- Blockchain in Agriculture Traceability Systems: A Review (2020, methodology): “The platform used in this paper is Ethereum, programmed with the Solidity programming language [83].”
- Overview of business innovations and research opportunities in blockchain and introduction to the special issue (2016, background): “In supply chain management, blockchain technology provides a groundbreaking solu-tion to product provenance (Kim and Laskowski 2016).”
- Blockchain technology in supply chain operations: Applications, challenges and research opportunities (2020, background): “Blockchain technology and IoTs help in granular provenance of physical goods, which are produced and transported in complex, inter-organizational, or internationally spanning SCs which are studied using traceability ontologies and constraints on Ethereum blockchain (Kim and Laskowski, 2018).”
- Blockchain-Enabled Smart Contracts: Architecture, Applications, and Future Trends (2019, background): “…of smart contracts because the traditional supply chain contracts are complex, dynamic, multi-party arrangements (there are many stakeholders in a supply chain such as producers, processing facilities, wholesalers, retailers, and consumers), with regulatory and logistical constraints [31-32].”
- A systematic literature review of blockchain-based applications: Current status, classification and open issues (2019, neutral): “The work presented in Kim and Laskowski (2016) describes an ontology to store and interpret data in an automated way, in the context of data provenance and integrity.”
- It’s real, trust me! Establishing supply chain provenance using blockchain (2019, background): “Provenance knowledge comes from supply chain transparency in terms of how products were manufactured, stored, and delivered to customers (Kim & Laskowski, 2018).”
- When Blockchain Meets Supply Chain: A Systematic Literature Review on Current Development and Potential Applications (2020, background): “Smart contracts may outperform traditional contracts due to advantages such as allowing the mitigation of intermediaries among transacting counterparties and the facilitation of transaction flows without malicious alterations and tampering [30].”