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A trust transitivity model of small and medium-sized manufacturing enterprises under blockchain-based supply chain finance

Author

Listed:
  • Jiang, Rong
  • Kang, Yuanjie
  • Liu, Yongsong
  • Liang, Zhihong
  • Duan, Yunlong
  • Sun, Yani
  • Liu, Jialan

Abstract

Small and medium-sized manufacturing enterprises (SMMEs) have been facing the financing contradiction of “strong demand” and “weak trust” for a long time, and financing constraints are closely related to the production efficiency of manufacturing enterprises. Therefore, how to solve the financing problem has become one of the most concerned issues for the development of SMMEs. After years of development, supply chain finance (SCF) has become an important way of financing for SMMEs. Under the traditional supply chain finance system, Tier 1-supplier in the manufacturing industry chain can make use of the high credit of core enterprises for financing, but the high credit of core enterprises cannot be transmitted to Tier 2 to Tier N-suppliers in the long tail market. In recent years, the innovative development of supply chain finance driven by blockchain technology has played a positive role in overcoming the lack of trust and has spawned a multi-level supply chain finance system. In this context, the paper proposes to establish a trust transitivity model based on the electronic payment voucher (EPV) issued by the blockchain, using the intuitionistic fuzzy set theory, and comprehensively consider direct trust and indirect trust. In trust aggregation, the dynamic weight allocation strategy is introduced to play the role of incentive and punishment for SMMEs. This study aims to provide a new idea for the trust evaluation of SMMEs by building a trust transitivity model, so as to give full play to the value-added and transmission effect of the manufacturing industry chain, and relieve the financing difficulties for SMMEs. Finally, the study further verified the rationality of the model through the analysis of numerical examples.

Suggested Citation

  • Jiang, Rong & Kang, Yuanjie & Liu, Yongsong & Liang, Zhihong & Duan, Yunlong & Sun, Yani & Liu, Jialan, 2022. "A trust transitivity model of small and medium-sized manufacturing enterprises under blockchain-based supply chain finance," International Journal of Production Economics, Elsevier, vol. 247(C).
    • Handle: RePEc:eee:proeco:v:247:y:2022:i:c:s0925527322000627
    DOI: 10.1016/j.ijpe.2022.108469
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    References listed on IDEAS

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    Cited by:

    1. Zhu, Shichao & Li, Jian & Wang, Shouyang & Xia, Yusen & Wang, Yajing, 2023. "The role of blockchain technology in the dual-channel supply chain dominated by a brand owner," International Journal of Production Economics, Elsevier, vol. 258(C).
    2. Bai, Chunguang & Sarkis, Joseph, 2022. "A critical review of formal analytical modeling for blockchain technology in production, operations, and supply chains: Harnessing progress for future potential," International Journal of Production Economics, Elsevier, vol. 250(C).
    3. Ajay Kumar Pandey & Yash Daultani & Saurabh Pratap, 2024. "Blockchain technology enabled critical success factors for supply chain resilience and sustainability," Business Strategy and the Environment, Wiley Blackwell, vol. 33(2), pages 1533-1554, February.
    4. Yiyu Xia, 2022. "A Study on Evolution Game of Accounts Receivable Pledge Financing in Supply Chain Finance Model," International Business Research, Canadian Center of Science and Education, vol. 15(12), pages 1-39, December.
    5. Haji Suleman Ali & Feiyan Jia & Zhiyuan Lou & Jingui Xie, 2023. "Effect of blockchain technology initiatives on firms’ market value," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-35, December.

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