Financing a capital-constrained supply chain: factoring accounts receivable vs a BCT-SCF receivable chain

Purpose Blockchain-driven supply chain finance (BCT-SCF) has recently been receiving increased global attention. A number of business programmes have been carried out using this approach, but existing research has rarely focussed on this novel SCF model. This paper aims to fill this gap by proposing a mathematical model to analyse the value of BCT-SCF. Design/methodology/approach First, this paper considers a multi-period two-echelon supply chain consisting of a capital-constrained supplier and a newsvendor-like retailer. Then, two financing channels are proposed. The supply chain actors can either factor accounts receivable (AR) from a bank or obtain financing through a BCT-SCF platform by which AR can be converted into a bill receivable and used to make payment. Further, to investigate the preferences of all actors between the two financing channels, this paper compares the two channels and examines how the degree of financial constraints and the cost of implementing the BCT-SCF model impact the financing preferences of all actors. Findings BCT-SCF model can help a supply chain realise its optimisation both in production and financing efficiency, the preference for the BCT-SCF model increases as the initial capital of supplier and the BCT-SCF platform usage fee rate decrease. Practical implications This research bridges the gap between theoretical analysis of BCT-SCF and its realistic application. The results demonstrate that with the BCT-SCF model, a win-win situation among supply chain actors is possible, which is helpful for the supply chain to choose a more efficient financing channel. Originality/value This research introduces a mathematical model based on the “receivable chain” of CZBank and the model is set in a multi-period supply chain, which is the first time BCT-SCF has been considered as part of a more complex but realistic background setting.

[1]  Stephen M. Disney,et al.  The impact of information enrichment on the Bullwhip effect in supply chains: A control engineering perspective , 2004, Eur. J. Oper. Res..

[2]  Daniel E. O'Leary,et al.  Configuring Blockchain Architectures for Transaction Information in Blockchain Consortiums: The Case of Accounting and Supply Chain Systems , 2017, Intell. Syst. Account. Finance Manag..

[3]  Jiahua Zhang,et al.  Inventory centralization with risk-averse newsvendors , 2018, Ann. Oper. Res..

[4]  Yingli Wang,et al.  Making sense of blockchain technology: How will it transform supply chains? , 2019, International Journal of Production Economics.

[5]  ManMohan S. Sodhi,et al.  Blockchain for Supply Chain Traceability: Business Requirements and Critical Success Factors , 2020 .

[6]  T. Choi,et al.  Information disclosure structure in supply chains with rental service platforms in the blockchain technology era , 2020 .

[7]  Hans-Christian Pfohl,et al.  Supply chain finance: optimizing financial flows in supply chains , 2009, Logist. Res..

[8]  Xin Fang,et al.  Optimal Stackelberg strategies for financing a supply chain through online peer-to-peer lending , 2017, Eur. J. Oper. Res..

[9]  Amol Singh,et al.  Multi-period demand allocation among supplier in a supply chain , 2015 .

[10]  Gregory S. Zaric,et al.  Families of supply chain coordinating contracts in the presence of retailer effort , 2016 .

[11]  Aleda V. Roth,et al.  Outsourcing to a Powerful Contract Manufacturer: The Effect of Learning‐by‐Doing , 2009 .

[12]  Tsan-Ming Choi,et al.  Supply chain financing using blockchain: impacts on supply chains selling fashionable products , 2020, Annals of Operations Research.

[13]  Albert P. M. Wagelmans,et al.  Designing multi-period supply contracts in a two-echelon supply chain with asymmetric information , 2019, Eur. J. Oper. Res..

[14]  M. Reiman,et al.  Echelon Reorder Points, Installation Reorder Points, and the Value of Centralized Demand Information , 1998 .

[15]  Stephen M. Disney,et al.  Measuring and avoiding the bullwhip effect: A control theoretic approach , 2003, Eur. J. Oper. Res..

[16]  P. Vandenberg,et al.  Adapting to the Financial Landscape: Evidence From Small Firms in Nairobi , 2003 .

[17]  Chung-Shan Yang,et al.  Maritime shipping digitalization: Blockchain-based technology applications, future improvements, and intention to use , 2019, Transportation Research Part E: Logistics and Transportation Review.

[18]  L. Cong,et al.  Decentralized Mining in Centralized Pools , 2019, The Review of Financial Studies.

[19]  Hagit Levy Information Asymmetry and the Use of Accounts Receivable Backed Debt , 2015 .

[20]  Gareth W. Peters,et al.  Understanding Modern Banking Ledgers Through Blockchain Technologies: Future of Transaction Processing and Smart Contracts on the Internet of Money , 2015, ArXiv.

[21]  N. Raghavan,et al.  Short-term financing in a cash-constrained supply chain , 2011 .

[22]  R. Kapuściński,et al.  Value of Information in Capacitated Supply Chains , 1999 .

[23]  Z. Wei-hua Research on decision-making and value of supply chain financing with accounts receivables , 2012 .

[24]  S. Sethi,et al.  Dynamic Pricing, Production, and Channel Coordination with Stochastic Learning , 2015 .

[25]  Hang Luo,et al.  Blockchain, bank credit and SME financing , 2018, Quality & Quantity.

[26]  Joseph Geunes,et al.  The newsvendor problem with capacitated suppliers and quantity discounts , 2018, Eur. J. Oper. Res..

[27]  Stefan M. Zumsteg,et al.  Win-win and No-win Situations in Supply Chain Finance: The Case of Accounts Receivable Programs , 2015 .

[28]  M. Dong,et al.  Supply chain coordination with trade credit and quantity discount incorporating default risk , 2014 .

[29]  Chengfu Wang,et al.  Financing online retailers: Bank vs. electronic business platform, equilibrium, and coordinating strategy , 2019, Eur. J. Oper. Res..

[30]  Jan Fransoo,et al.  The price of reverse factoring: Financing rates vs. payment delays , 2015, Eur. J. Oper. Res..

[31]  T. Choi,et al.  Data quality challenges for sustainable fashion supply chain operations in emerging markets: Roles of blockchain, government sponsors and environment taxes , 2019, Transportation Research Part E: Logistics and Transportation Review.

[32]  Xiangfeng Chen,et al.  Trade credit contract with limited liability in the supply chain with budget constraints , 2012, Ann. Oper. Res..

[33]  Nikunja Mohan Modak,et al.  Managing a dual-channel supply chain under price and delivery-time dependent stochastic demand , 2019, Eur. J. Oper. Res..