Open Access
RAIRO-Oper. Res.
Volume 56, Number 3, May-June 2022
Page(s) 1223 - 1258
Published online 17 May 2022
  • BBC, Marks and Spencer profits fall as clothing disappoints. Retrieved from (Accessed on 5th April 2019) (2013). [Google Scholar]
  • D. Bradley and M. Rubach, Trade credit and small businesses: a cause of business failures? Working paper, University of Central Arkansas (2002). [Google Scholar]
  • E. Cao, L. Du and J. Ruan, Financing preferences and performance for an emission dependent supply chain: supplier vs. bank. Int. J. Prod. Econ. 88 (2019) 24–39. [Google Scholar]
  • X. Chen, A model of trade credit in a capital-constrained distribution channel. Int. J. Prod. Econ. 159 (2015) 347–357. [Google Scholar]
  • J. Chen, Q. Hu and J. Song, Effect of partial cross ownership on supply chain Performance. Eur. J. Oper. Res. 258 (2017) 525–536. [CrossRef] [Google Scholar]
  • T. Choi, D. Li and H. Yan, Mean-variance analysis of a single supplier and retailer supply chain under a returns policy. Eur. J. Oper. Res. 184 (2008) 356–376. [CrossRef] [Google Scholar]
  • T. Choi, C. Ma, B. Shen and Q. Sun, Optimal pricing in mass customization supply chains with risk-averse agents and retail competition. Omega 88 (2019) 150–161. [CrossRef] [Google Scholar]
  • A. Ferrando and K. Mulier, Do firms use the trade credit channel to manage growth?. J. Bank Finan. 37 (2013) 3035–3046. [CrossRef] [Google Scholar]
  • H. Fu and Y. Ma, Optimization and coordination of decentralized supply chains with vertical cross-shareholding. Comput. Ind. Eng. 132 (2019) 23–35. [CrossRef] [Google Scholar]
  • W. Güth, N. Nikiforakis and H. Normann, Vertical cross-shareholding: theory and experimental evidence. Int. J. Ind. Organ. 25 (2007) 69–89. [CrossRef] [Google Scholar]
  • S. Jianping and Y. Rubing, China MSME Finance Report 2016. Retrieved from: (Accessed 10 March) (2019). [Google Scholar]
  • W. Jin and Q. Zhang, Decision making in trade credit financing: impact of loss aversion and power imbalance. Int. Trans. Oper. Res. 28 (2021) 2607–2632. [CrossRef] [MathSciNet] [Google Scholar]
  • B. Jing, X. Chen and G. Cai, Equilibrium financing in a distribution channel with capital constraint. Prod. Oper. Manag. 21 (2012) 1090–1101. [CrossRef] [Google Scholar]
  • T. Koller, D. Lovallo and Z. Williams, Overcoming a bias against risk. Technical Report (2012). [Google Scholar]
  • P. Kouvelis and W. Zhao, Financing the newsvendor: supplier vs. bank, and the structure of optimal trade credit contracts. Oper. Res. 60 (2012) 566–580. [Google Scholar]
  • M. Lariviere and E. Porteus, Selling to the newsvendor: an analysis of price-only contracts. MSOM-Manuf. Ser. OP 3 (2001) 293–305. [CrossRef] [Google Scholar]
  • C. Lee and B. Rhee, Trade credit for supply chain coordination. Eur. J. Oper. Res. 214 (2011) 136–146. [CrossRef] [Google Scholar]
  • H. Lee, J. Zhou and J. Wang, Trade credit financing under competition and its impact on firm performance in supply chains. MSOM-Manuf Serv. OP 20 (2018) 36–52. [CrossRef] [Google Scholar]
  • Q. Li, B. Niu and L.-K. Chu, Buy now and price later: supply contracts with time-consistent mean-variance financial hedging. Eur. J. Oper. Res. 268 (2018) 582–595. [CrossRef] [Google Scholar]
  • G. Li, H. Wu and S. Xiao, Financing strategies for a capital-constrained manufacturer in a dual-channel supply chain. Int. Trans. Oper. Res. 27 (2019) 2317–2339. [Google Scholar]
  • S. Longhofer and J. Santos, The importance of bank seniority for relationship lending. J. Finan. Intermed. 9 (2000) 57–89. [CrossRef] [Google Scholar]
  • X. Lu and Z. Wu, How taxes impact bank and trade financing for multinational firms. Eur. J. Oper. Res. 286 (2020) 218–232. [Google Scholar]
  • V. Nagali, J. Hwang, D. Sanghera, M. Gaskins, M. Pridgen, T. Thurston, P. Mackenroth, D. Branvold, P. Scholler and P. Shoemaker, Procurement risk management (PRM) at Hewlett-Packard company. Interfaces 38 (2008) 51–60. [CrossRef] [Google Scholar]
  • A. Norrman and U. Jansson, Ericsson’s proactive supply chain risk management approach after a serious sub-supplier accident. Int. J. Phys. Distrib. Logist. Manag. 34 (2004) 434–456. [CrossRef] [Google Scholar]
  • A. Schwartz, Priority contracts and priority in bankruptcy. Cornell Law Rev. 82 (1997) 1396–1419. [Google Scholar]
  • F. Silaghi and F. Moraux, Trade credit contracts: design and regulation. Eur. J. Oper. Res. 296 (2021) 980–992. [Google Scholar]
  • Z. Wang, L. Qi, Y. Zhang and Z. Liu, A trade-credit-based incentive mechanism for a risk-averse retailer with private information. Comput. Ind. Eng. 154 (2021) 107101. [CrossRef] [Google Scholar]
  • Y. Wei and T. Choi, Mean-variance analysis of supply chains under wholesale pricing and profit sharing schemes. Eur. J. Oper. Res. 204 (2010) 255–262. [CrossRef] [Google Scholar]
  • World Bank Group, Enterprise surveys data for China. Retrieved from: (Accessed on December 27, 20) (2012). [Google Scholar]
  • C. Xia, Y. Xiao, W. Zhuo and Y. Hsiao, Mixed financing strategies for capital-constrained retailer in the Chinese financial market. Pac. Basin. Finan. J. 63 (2020) 101395. [CrossRef] [Google Scholar]
  • S. Xiao, S. Sethi, M. Liu and S. Ma, Coordinating contracts for a financially constrained supply chain. Omega 72 (2017) 71–86. [CrossRef] [Google Scholar]
  • N. Yan and B. Sun, Coordinating loan strategies for supply chain financing with limited credit. OR Spect. 35 (2013) 1039–1058. [CrossRef] [Google Scholar]
  • Q. Yan and F. Ye, Financing equilibrium in a three-echelon supply chain: the impact of a limited bank loan. Appl. Econ. 3 (2020) 1–14. [Google Scholar]
  • N. Yan, X. He and Y. Liu, Financing the capital-constrained supply chain with loss aversion: supplier finance vs. supplier investment. Omega 88 (2019) 162–178. [Google Scholar]
  • N. Yan, X. Jin, H. Zhong and X. Xu, Loss-averse retailers’ financial offerings to capital-constrained suppliers: loan vs. investment. Int. J. Prod. Econ. 227 (2020) 107655. [CrossRef] [Google Scholar]
  • S. Yang and J. Birge, Trade credit, risk sharing, and inventory financing portfolios. Manage. Sci. 64 (2018) 3667–3689. [CrossRef] [Google Scholar]
  • H. Yang, W. Zhuo and L. Shao, Equilibrium evolution in a two-echelon supply chain with financially constrained retailers: the impact of equity financing. Int. J. Prod. Econ. 185 (2017) 139–149. [Google Scholar]
  • H. Yang, F. Sun, J. Chen and B. Chen, Financing decisions in a supply chain with a capital-constrained manufacturer as new entrant. Int. J. Prod. Econ. 216 (2019) 321–332. [CrossRef] [Google Scholar]
  • H. Yang, Z. Zhen and H. Wan, Optimal portfolio financing selection in a capital-constrained supply chain with risk-averse members. Appl. Econ. 53 (2021) 4713–4733. [CrossRef] [Google Scholar]
  • H. Yang, W. Zhuo, L. Shao and S. Talluri, Mean-variance analysis of wholesale price contracts with a capital-constrained retailer: trade credit financing vs. bank credit financing. Eur. J. Oper. Res. 294 (2021) 525–542. [CrossRef] [Google Scholar]
  • D. Yi, J. Yi, L. Wu and Z. Zhan, Two-echelon supply chain network design with trade credit. Comput. Oper. Res. 131 (2021) 105270. [CrossRef] [MathSciNet] [Google Scholar]
  • Q. Zhang, D. Ming, J. Luo and A. Segerstedt, Supply chain coordination with trade credit and quantity discount incorporating default risk. Int. J. Prod. Econ. 153 (2014) 352–360. [CrossRef] [Google Scholar]
  • Y. Zhang, W. Chen and Q. Li, Third-party remanufacturing mode selection for a capital-constrained closed-loop supply chain under financing portfolio. Comput. Ind. Eng. 157 (2021) 107315. [CrossRef] [Google Scholar]
  • J. Zhou and H. Groenevelt, Impacts of financial collaboration in a three-party supply chain. Working paper, The Simon School, University of Rochester, Rochester, NY (2007). [Google Scholar]
  • Y. Zhu, L. Zhou, C. Xie, G. Wang and T. Nguyen, Forecasting SMEs, credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach. Int. J. Prod. Econ. 211 (2019) 22–33. [CrossRef] [Google Scholar]
  • W. Zhuo, L. Shao and H. Yang, Mean-variance analysis of option contracts in a two-echelon supply chain. Eur. J. Oper. Res. 271 (2018) 535–547. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.