In this study, we employ system dynamics to study the combined effect of extended payment terms and a buyer's supply risk management practices on two outcomes: the supplier's bankruptcy risk and the buyer's financial bottom line. In conjunction with payment terms, we model the impact of two commonly recommended supply chain risk management (SCRM) practices: quick response to supply disruptions and use of a secondary (backup) source. Among other results, we uncover a feedback mechanism that contributes to the negative effect of extended payment terms on a supplier's finances and show that longer payment terms can worsen buyer outcomes, especially when the supplier faces a higher risk of disruptions. We also show that, when considered alongside extended payment terms, common SCRM practices may not always be beneficial for buyer firms. Our research suggests decisions related to SCRM and extended payment terms should not be made independently.
AkkermansH.VosB.. 2003. Amplification in service supply chains: An exploratory case study from the telecom industry. Prod. Oper. Manag.12(2): 204–223.
2.
AndersonE. G.JrFineC. H.ParkerG. G.. 2000. Upstream volatility in the supply chain: The machine tool industry as a case study. Prod. Oper. Manag.9(3): 239–261.
3.
AndersonE. G.JrMorriceD. J.. 2000. A simulation game for teaching service‐oriented supply chain management: Does information sharing help managers with service capacity decisions?Prod. Oper. Manag.9(1): 40–55.
4.
AndersonE. G.JrMorriceD. J.LundeenG.. 2005. The “physics” of capacity and backlog management in service and custom manufacturing supply chains. Syst. Dyn. Rev.21(3): 217–247.
5.
AngerhoferB. J.AngelidesM. C.. 2000. System dynamics modelling in supply chain management: Research review. 2000 Winter Simulation Conference Proceedings, Vol. 1. IEEE, pp. 342–351.
6.
AnupindiR.AkellaR.. 1993. Diversification under supply uncertainty. Management Sci.39(8): 944–963.
7.
APQC. 2015. Customers with Clout Squeezing Suppliers. Available at https://tinyurl.com/2tbpdkrn; Published on October 6, 2015 (accessed date January 16, 2020).
8.
ArchibaldT. W.ThomasL. C.BettsJ. M.JohnstonR. B.. 2002. Should start‐up companies be cautious? Inventory policies which maximise survival probabilities. Management Sci.48(9): 1161–1174.
9.
BabichV.BurnetasA. N.RitchkenP. H.. 2007. Competition and diversification effects in supply chains with supplier default risk. Manuf. Serv. Oper. Manag.9(2): 123–146.
BlackhurstJ.CraigheadC. W.ElkinsD.HandfieldR. B.. 2005. An empirically derived agenda of critical research issues for managing supply‐chain disruptions. Int. J. Prod. Res.43(19): 4067–4081.
15.
BlomeC.SchoenherrT.. 2011. Supply chain risk management in financial crises—multiple case‐study approach. Int. J. Prod. Econ.134(1): 43–57.
16.
BodeC.WagnerS. M.. 2015. Structural drivers of upstream supply chain complexity and the frequency of supply chain disruptions. J. Oper. Manag.36: 215–228.
17.
BroughtonK.2021. Some Companies are Taking Longer to Pay Suppliers Despite Recovery. Available at https://tinyurl.com/4mmn85aa; Published on June 7, 2021 (accessed date July 3, 2021).
18.
BurkeG. J.CarrilloJ. E.VakhariaA. J.. 2007. Single versus multiple supplier sourcing strategies. Eur. J. Oper. Res.182(1): 95–112.
19.
CaiG.ChenX.XiaoZ.. 2014. The roles of bank and trade credits: Theoretical analysis and empirical evidence. Prod. Oper. Manag.23(4): 583–598.
20.
CaniatoF.MorettoA.RiceJ. B.Jr.2020. A financial crisis is looming for smaller suppliers. Harv. Bus. Rev., Aug 6, 2020. Available at https://hbr.org/2020/08/a‐financial‐crisis‐is‐looming‐for‐smaller‐suppliers (accessed date October 10, 2020).
21.
ChenX.LuQ.CaiG.. 2020. Buyer financing in pull supply chains: Zero‐interest early payment or in‐house factoring?Prod. Oper. Manag.29(10): 2307–2325.
22.
ChodJ.2017. Inventory, risk shifting, and trade credit. Management Sci.63(10): 3207–3225.
23.
ChoiT. Y.RogersD.VakilB.. 2020. Coronavirus is a wake‐up call for supply chain management. Harv. Bus. Rev.27: 364–398.
24.
ChopraS.SodhiM.. 2014. Reducing the risk of supply chain disruptions. MIT Sloan Manag. Rev.55(3): 72–80.
25.
ChuangH. H.‐C.OlivaR.. 2015. Inventory record inaccuracy: Causes and labor effects. J. Oper. Manag.39: 63–78.
26.
DemirelS.KapuscinskiR.YuM.. 2017. Strategic behavior of suppliers in the face of production disruptions. Management Sci.64(2): 533–551.
27.
DevalkarS. K.KrishnanH.. 2019. The impact of working capital financing costs on the efficiency of trade credit. Prod. Oper. Manag.28(4): 878–889.
28.
EllramL.2017. Viewpoint: The Delusion of Extending Payment Terms. Available at https://tinyurl.com/pdhnkxdx; Published on November 6, 2017 (accessed date May 13, 2019).
29.
Forbes. 2021. Why It's Time to Reset the Relationship Between Buyers and Suppliers. Available at https://tinyurl.com/2hjuw5s9; Published on June 16, 2021 (accessed date June 25, 2021).
30.
FordD. N.StermanJ. D.. 1998. Dynamic modeling of product development processes. Syst. Dyn. Rev. J. Syst. Dyn. Soc.14(1): 31–68.
31.
GeorgiadisP.VlachosD.TagarasG.. 2006. The impact of product lifecycle on capacity planning of closed‐loop supply chains with remanufacturing. Prod. Oper. Manag.15(4): 514–527.
32.
GiannettiM.BurkartM.EllingsenT.. 2011. What you sell is what you lend? Explaining trade credit contracts. Rev. Financ. Stud.24(4): 1261–1298.
33.
Godinho FilhoM.ElizangelaV. S.. 2013. From time‐based competition (TBC) to quick response manufacturing (QRM): The evolution of research aimed at lead time reduction. Int. J. Adv. Manuf. Technol.64(5): 1177–1191.
34.
GonçalvesP.2011. Balancing provision of relief and recovery with capacity building in humanitarian operations. Oper. Manag. Res.4(1–2): 39–50.
35.
GonçalvesP.HinesJ.StermanJ.. 2005. The impact of endogenous demand on push–pull production systems. Syst. Dyn. Rev. J. Syst. Dyn. Soc.21(3): 187–216.
36.
GrayJ.WynstraF.. 2020. Covid‐19: Lessons for sourcing. Supply Chain Manag. Rev. Apr. 5. Available at https://www.scmr.com/article/covid‐19_lessons_for_sourcing (accessed date October 10, 2020).
37.
GrayJ. V.EsenduranG.RungtusanathamM. J.SkowronskiK.. 2017. Why in the world did they reshore? Examining small to medium‐sized manufacturer decisions. J. Oper. Manag.49: 37–51.
38.
GrötschV. M.BlomeC.SchleperM. C.. 2013. Antecedents of proactive supply chain risk management–a contingency theory perspective. Int. J. Prod. Res.51(10): 2842–2867.
39.
GuptaD.WangL.. 2009. A stochastic inventory model with trade credit. Manuf. Serv. Oper. Manag.11(1): 4–18.
40.
GürlerÜ.ParlarM.. 1997. An inventory problem with two randomly available suppliers. Oper. Res.45(6): 904–918.
41.
HandelO.2014. Demand endogenization of intermediate products in supply chains through a system‐dynamics‐based modularization concept. Proceedings of International System Dynamics Conferences.
42.
HelperS.NicholsonJ.NoonanR.. 2014. The economic benefits of reducing supplier working capital costs, US department of commerce. Econ. Statist. Admin. Available at https://www.sba.gov/sites/default/files/aboutsbaarticle/The_Economic_Benefits_of_Reducing_Supplier_Working_Capital_Costs.pdf (accessed date February 2, 2021).
43.
HoW.ZhengT.YildizH.TalluriS.. 2015. Supply chain risk management: A literature review. Int. J. Prod. Res.53(16): 5031–5069.
44.
HomerJ. B.HirschG. B.. 2006. System dynamics modeling for public health: Background and opportunities. Am. J. Public Health.96(3): 452–458.
45.
JingB.ChenX.CaiG.. 2012. Equilibrium financing in a distribution channel with capital constraint. Prod. Oper. Manag.21(6): 1090–1101.
46.
JoglekarN. R.FordD. N.. 2005. Product development resource allocation with foresight. Eur. J. Oper. Res.160(1): 72–87.
47.
KeithD. R.StermanJ. D.StrubenJ.. 2017. Supply constraints and waitlists in new product diffusion. Syst. Dyn. Rev.33(3–4): 254–279.
48.
Kellogg. 2021. Doing Business with Kellog. Available at http://www.kelloggcompany.com/en_US/supplier‐relations.html (accessed date July 30, 2021).
49.
KouvelisP.ZhaoW.. 2011. The newsvendor problem and price‐only contract when bankruptcy costs exist. Prod. Oper. Manag.20(6): 921–936.
50.
KouvelisP.ZhaoW.. 2012. Financing the newsvendor: Supplier vs. bank, and the structure of optimal trade credit contracts. Oper. Res.60(3): 566–580.
51.
KouvelisP.ZhaoW.. 2015. Supply chain contract design under financial constraints and bankruptcy costs. Management Sci.62(8): 2341–2357.
52.
KouvelisP.ZhaoW.. 2018. Who should finance the supply chain? Impact of credit ratings on supply chain decisions. Manuf. Serv. Oper. Manag.20(1): 19–35.
53.
LaneD. C.HusemannE.. 2008. System dynamics mapping of acute patient flows. J. Oper. Res. Soc.59(2): 213–224.
54.
LaneD. C.MonefeldtC.RosenheadJ. V.. 2000. Looking in the wrong place for healthcare improvements: A system dynamics study of an accident and emergency department. J. Oper. Res. Soc.51(5): 518–531.
55.
LanngC.2021. Why It's Time to Reset the Relationship Between Buyers and Suppliers. Available at https://tinyurl.com/hc3xtk8j; Published on June 16, 2021 (accessed date July 03, 2021).
56.
LeeH.‐H.ZhouJ.WangJ.. 2018. Trade credit financing under competition and its impact on firm performance in supply chains. Manuf. Serv. Oper. Manag.20(1): 36–52.
57.
LexisNexis. 2015. Lexisnexis Smartwatch User Guide. Available at http://www.lexisnexis.com/bis‐user‐information/docs/SmartWatch‐User‐Guide.pdf; Published in 2015 (accessed date January 10, 2021).
LopezE.2016. What Happens if the Supplier Goes Bankrupt? Available at http://www.supplychaindive.com/news/supply‐financial‐risk‐bankruptcy/427424/, Published on October 3, 2016 (accessed date July 3, 2021).
60.
LyneisJ. M.FordD. N.. 2007. System dynamics applied to project management: A survey, assessment, and directions for future research. Syst. Dyn. Rev. J. Syst. Dyn. Soc.23(2–3): 157–189.
61.
MacdonaldJ. R.CorsiT. M.. 2013. Supply chain disruption management: Severe events, recovery, and performance. J. Bus. Logist.34(4): 270–288.
62.
MaierF. H.1998. New product diffusion models in innovation management—a system dynamics perspective. Syst. Dyn. Rev. J. Syst. Dyn. Soc.14(4): 285–308.
63.
MorecroftJ.RobinsonS.. 2005. Explaining puzzling dynamics: Comparing the use of system dynamics and discrete‐event simulation. Proceedings of the 23rd International Conference of the System Dynamics Society, Vol. 115. System Dynamics Society Boston, MA.
64.
MorrisonJ. B.OlivaR.. 2018. Integration of behavioral and operational elements through system dynamics. KatokE.DonohueK.LeiderS., eds. The Handbook of Behavioral Operations. John Wiles & Sons, Hoboken, 287–322.
65.
NaumovS.KeithD.FineC.. 2020. Unintended consequences of automated vehicles and pooling for urban transportation systems. Prod. Oper. Manag.29(5): 1354–1371.
66.
NgS.2013. P&G, big companies pinch suppliers on payments. Wall St. J., Apr. 17 1. Available at https://www.wsj.com/articles/SB10001424127887324010704578418361635041842 (accessed date January 10, 2017).
67.
NgC. K.SmithJ. K.SmithR. L.. 1999. Evidence on the determinants of credit terms used in interfirm trade. J. Finance.54(3): 1109–1129.
68.
OEM Magazine. 2016a. The Big Squeeze. Available at http://www.oemmagazine.org/oem-topics/business‐issues/big‐squeeze; Published on December 6, 2016 (accessed date January 16, 2020).
69.
OEM Magazine. 2016b. Survey Results: Lead Time Top Pain Point for OEMs, End Users Alike. Available at https://tinyurl.com/smhrmbp9; Published on January 7, 2016 (accessed date January 16, 2020).
70.
OlivaR.2001. Tradeoffs in responses to work pressure in the service industry. Calif. Manage. Rev.43(4): 26–43.
71.
OlivaR.StermanJ. D.. 2001. Cutting corners and working overtime: Quality erosion in the service industry. Management Sci.47(7): 894–914.
72.
PanzinoC.HudginsC.. 2020. Auto Suppliers See Spike in Probability of Default During Covid‐19 Pandemic. Available at https://tinyurl.com/h3zhnnvs; Published on April 30, 2020 (accessed date December 17, 2020).
73.
ParlarM.PerryD.. 1996. Inventory models of future supply uncertainty with single and multiple suppliers. Nav. Res. Logist.43(2): 191–210.
74.
ParvanK.RahmandadH.HaghaniA.. 2015. Inter‐phase feedbacks in construction projects. J. Oper. Manag.39: 48–62.
75.
PaulS.BodenR.. 2012. Getting Paid: Lessons for and From SMEs. Available at https://tinyurl.com/zjpbwdw6 (accessed date April 15, 2019).
76.
PaulS.VenkateswaranJ.. 2017. Impact of drug supply chain on the dynamics of infectious diseases. Syst. Dyn. Rev.33(3–4): 280–310.
77.
PeuraH.YangS. A.LaiG.. 2017. Trade credit in competition: A horizontal benefit. Manuf. Serv. Oper. Manag.19(2): 263–289.
78.
RepenningN. P.GonçalvesP.BlackL. J.. 2001. Past the tipping point: The persistence of firefighting in product development. Calif. Manag. Rev.43(4): 44–63.
79.
Resilinc. 2021. Helping Companies Re‐imagine Supply Chain Risk. Available at https://www.resilinc.com/about/ (accessed date July 30, 2021).
80.
RossettiC.ChoiT. Y.. 2005. On the dark side of strategic sourcing: Experiences from the aerospace industry. Acad. Manag. Exec.19(1): 46–60.
81.
RuiH.LaiG.. 2015. Sourcing with deferred payment and inspection under supplier product adulteration risk. Prod. Oper. Manag.24(6): 934–946.
82.
SchultzE. J.2014. Mars Seeks 120‐day Payment Terms from Vendors. Available at https://tinyurl.com/32yzb5fs; Published on May 23, 2014 (accessed date September 16, 2019).
83.
SerranoA.OlivaR.KraiselburdS.. 2018. Risk propagation through payment distortion in supply chains. J. Oper. Manag.58: 1–14.
84.
SheffiY.RiceJ. B.Jr.2005. A supply chain view of the resilient enterprise. MIT Sloan Manag. Rev.47(1): 41.
85.
Simchi‐LeviD.SchmidtW.WeiY.. 2014. From superstorms to factory fires: Managing unpredictable supply chain disruptions. Harv. Bus. Rev.92(1–2): 96–101.
86.
SmithJ. K.1987. Trade credit and informational asymmetry. J. Finance.42(4): 863–872.
87.
SnyderL. V.AtanZ.PengP.RongY.SchmittA. J.SinsoysalB.. 2016. OR/MS models for supply chain disruptions: A review. IIE Trans.48(2): 89–109.
SodhiM. S.TangC. S.. 2012. Managing Supply Chain Risk, Vol. 172. Springer Science & Business Media, New York.
90.
StermanJ. D.1989. Modeling managerial behavior: Misperceptions of feedback in a dynamic decision making experiment. Management Sci.35(3): 321–339.
91.
StermanJ. D.2000. Business dynamics: Systems thinking and modeling for a complex world. HD30. 2 S7835 2000.
92.
StermanJ. D.DoganG.. 2015. “I'm not hoarding, I'm just stocking up before the hoarders get here.”: Behavioral causes of phantom ordering in supply chains. J. Oper. Manag.39: 6–22.
93.
StermanJ. D.HendersonR.BeinhockerE. D.NewmanL. I.. 2007. Getting big too fast: Strategic dynamics with increasing returns and bounded rationality. Management Sci.53(4): 683–696.
94.
StermanJ.OlivaR.LindermanK. W.BendolyE.. 2015. System dynamics perspectives and modeling opportunities for research in operations management. J. Oper. Manag.39: 40.
95.
StingF. J.HuchzermeierA.. 2010. Ensuring responsive capacity: How to contract with backup suppliers. Eur. J. Oper. Res.207(2): 725–735.
96.
Supply Chain Quarterly. 2018. Supply Chain Disruptions Hit Record High. Available at https://tinyurl.com/78atftw3 (accessed date September 16, 2019).
97.
SuriR.2010. It's About Time: The Competitive Advantage of Quick Response Manufacturing. CRC Press, Boca Raton.
98.
SweetserA.1999. A comparison of system dynamics (SD) and discrete event simulation (DES). 17th International Conference of the System Dynamics Society. pp. 20–23.
99.
SwinneyR.CachonG. P.NetessineS.. 2011. Capacity investment timing by start‐ups and established firms in new markets. Management Sci.57(4): 763–777.
100.
SwinneyR.NetessineS.. 2009. Long‐term contracts under the threat of supplier default. Manuf. Serv. Oper. Manag.11(1): 109–127.
101.
TangC. S.2006. Perspectives in supply chain risk management. Int. J. Prod. Econ.103(2): 451–488.
102.
TomlinB.2006. On the value of mitigation and contingency strategies for managing supply chain disruption risks. Management Sci.52(5): 639–657.
103.
TomlinB.2009. Disruption‐management strategies for short life‐cycle products. Nav. Res. Logist.56(4): 318–347.
104.
TomlinB.WangY.. 2005. On the value of mix flexibility and dual sourcing in unreliable newsvendor networks. Manuf. Serv. Oper. Manag.7(1): 37–57.
105.
TomlinB.WangY.. 2011. Operational strategies for managing supply chain disruption risk. KouvelisP.DongL.BoyabatliO.LiR., eds. The Handbook of Integrated Risk Management in Global Supply Chains. John Wiley and Sons, Hoboken, 79–101.
106.
TsaiC.‐Y.2008. On supply chain cash flow risksDecis. Support Syst.44(4): 1031–1042.
VenkateswaranJ.SonY.‐J.. 2007. Effect of information update frequency on the stability of production–inventory control systems. Int. J. Prod. Econ.106(1): 171–190.
109.
VetterM.2020. Big Companies Overhaul Discounts and Payment Terms and the Writ Rolls Down Hill Onto Small Business. Available at https://tinyurl.com/3dwksspz; Published on June 5, 2020 (accessed date December 17, 2020).
110.
WangY.GillandW.TomlinB.. 2010. Mitigating supply risk: Dual sourcing or process improvement?Manuf. Serv. Oper. Manag.12(3): 489–510.
111.
WebbJ.2018. How Many Suppliers Do Businesses Have? How Many Should they Have? Available at https://tinyurl.com/27bdwbfc (accessed date July 30, 2021).
112.
WeissmanR.2017. A Supplier's Financial Condition is a Primary Risk Factor. Available at https://tinyurl.com/37we44rj; Published on August 7, 2017 (accessed date December 20, 2019).
113.
WuD.ZhangB.BaronO.. 2019. A trade credit model with asymmetric competing retailers. Prod. Oper. Manag.28(1): 206–231.
114.
YangZ.AydinG.BabichV.BeilD. R.. 2009. Supply disruptions, asymmetric information, and a backup production option. Management Sci.55(2): 192–209.
