A blockchain-driven business model for supplier selection and order allocation leveraging smart contracts in supply chains

Ashkan Emami , Mehdi Seifbarghy , Antragama Ewa Abbas , Wichai Chattinnawat , Nezir Aydin
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引用次数: 0

Abstract

Supply chain operations have tended to become more complex, thus placing significant pressure on one of the most critical processes: supplier selection and order allocation (SSOA). This process involves a focal company selecting suppliers and allocating orders to obtain required materials. Achieving effective SSOA processes is challenged by (1) reliance on centralized governance and (2) ensuring effective contract management. While so called “smart contracts” could address these challenges, design knowledge about such technology — particularly in the SSOA context — is underexplored in the literature. In this paper we design a smart contract for SSOA in supply chains. We conducted a design science research study and developed three core artifacts: (1) a mathematical description of SSOA; (2) a system model of actor interactions; and (3) SSOA-relevant algorithms. Utilizing the Ethereum blockchain, we demonstrated and tested our smart contracts through scenario analysis. We found that our design is feasible and highly likely to address centralization and effectiveness challenges in SSOA. This paper contributes to the literature by demonstrating how smart contract design focusing on SSOA can further enhance blockchain-driven business models. In addition, we offer prescriptive knowledge on developing smart contracts for SSOA in supply chains.
利用供应链中的智能合约,用于供应商选择和订单分配的区块链驱动的商业模式
供应链操作已经变得越来越复杂,因此给最关键的流程之一:供应商选择和订单分配(SSOA)带来了巨大的压力。这个过程包括一个中心公司选择供应商和分配订单,以获得所需的材料。实现有效的SSOA流程面临以下挑战:(1)依赖集中式治理和(2)确保有效的合同管理。虽然所谓的“智能合约”可以解决这些挑战,但是关于这种技术的设计知识——特别是在SSOA上下文中——在文献中还没有得到充分的探讨。本文为供应链中的SSOA设计了一个智能合约。我们进行了一项设计科学研究,并开发了三个核心工件:(1)SSOA的数学描述;(2)参与者交互的系统模型;(3) ssoa相关算法。利用以太坊区块链,我们通过场景分析演示和测试了我们的智能合约。我们发现我们的设计是可行的,并且极有可能解决SSOA中的集中化和有效性挑战。本文通过展示专注于SSOA的智能合约设计如何进一步增强区块链驱动的业务模型,为文献做出了贡献。此外,我们还提供了在供应链中为SSOA开发智能合约的规范知识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
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