IDEAS home Printed from https://ideas.repec.org/a/taf/tprsxx/v55y2017i22p6624-6637.html
   My bibliography  Save this article

The impact of cost structure on supply chain cash flow risk

Author

Listed:
  • Chih-Yang Tsai

Abstract

Managing supply chain cash flow risk has become a crucial task for many cash-stressed businesses. Cash flows usually lag behind operating earnings and exhibit higher volatility than earnings, making them less predictable. Through the three components of the cash conversion cycle – days in inventory, receivables, and payables, this study investigates the impact of cost structure – cost ratios and cost compositions – on cash flow risk (standard deviation) and explains why and how management philosophies, such as Just-In-Time, and new production technologies, such as 3D printing, can lower cash flow risk by shortening days in inventory and shifting cost structure. An analytical model built on a simple demand process examines the basic relationship between cost structure and cash flow risk while a simulation approach studies the same relationship under a more general demand process with additional modelling considerations and a benchmark test. The simulation approach is applied on a publicly traded company’s financial data to demonstrate how supply chain process improvement can reduce the cash flow risk.

Suggested Citation

  • Chih-Yang Tsai, 2017. "The impact of cost structure on supply chain cash flow risk," International Journal of Production Research, Taylor & Francis Journals, vol. 55(22), pages 6624-6637, November.
  • Handle: RePEc:taf:tprsxx:v:55:y:2017:i:22:p:6624-6637
    DOI: 10.1080/00207543.2017.1330568
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207543.2017.1330568
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00207543.2017.1330568?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zhang, Guoqiang & Y. Hu, Michael & Eddy Patuwo, B. & C. Indro, Daniel, 1999. "Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis," European Journal of Operational Research, Elsevier, vol. 116(1), pages 16-32, July.
    2. Hau L. Lee & Kut C. So & Christopher S. Tang, 2000. "The Value of Information Sharing in a Two-Level Supply Chain," Management Science, INFORMS, vol. 46(5), pages 626-643, May.
    3. Hau L. Lee, Seungjin Whang, 2000. "Information sharing in a supply chain," International Journal of Manufacturing Technology and Management, Inderscience Enterprises Ltd, vol. 1(1), pages 79-93.
    4. A. Wayne Corcoran, 1978. "The Use of Exponentially-Smoothed Transition Matrices to Improve Forecasting of Cash Flows from Accounts Receivable," Management Science, INFORMS, vol. 24(7), pages 732-739, March.
    5. Desheng Dash Wu & David L. Olson, 2015. "Enterprise Risk Management," Palgrave Macmillan Books, in: Enterprise Risk Management in Finance, chapter 1, pages 1-10, Palgrave Macmillan.
    6. David L Olson & Desheng Dash Wu, 2015. "Enterprise Risk Management," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 9378, February.
    7. Tangsucheeva, Rattachut & Prabhu, Vittaldas, 2014. "Stochastic financial analytics for cash flow forecasting," International Journal of Production Economics, Elsevier, vol. 158(C), pages 65-76.
    8. Tsai, Chih-Yang, 2011. "On delineating supply chain cash flow under collectionrisk," International Journal of Production Economics, Elsevier, vol. 129(1), pages 186-194, January.
    9. R. M. Cyert & H. J. Davidson & G. L. Thompson, 1962. "Estimation of the Allowance for Doubtful Accounts by Markov Chains," Management Science, INFORMS, vol. 8(3), pages 287-303, April.
    10. Battiston, Stefano & Delli Gatti, Domenico & Gallegati, Mauro & Greenwald, Bruce & Stiglitz, Joseph E., 2007. "Credit chains and bankruptcy propagation in production networks," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 2061-2084, June.
    11. Tangsucheeva, Rattachut & Prabhu, Vittaldas, 2013. "Modeling and analysis of cash-flow bullwhip in supply chain," International Journal of Production Economics, Elsevier, vol. 145(1), pages 431-447.
    12. Heitor Almeida & Murillo Campello & Michael S. Weisbach, 2004. "The Cash Flow Sensitivity of Cash," Journal of Finance, American Finance Association, vol. 59(4), pages 1777-1804, August.
    13. Harvey M. Wagner & Thomson M. Whitin, 1958. "Dynamic Version of the Economic Lot Size Model," Management Science, INFORMS, vol. 5(1), pages 89-96, October.
    14. Dechow, Patricia M. & Kothari, S. P. & L. Watts, Ross, 1998. "The relation between earnings and cash flows," Journal of Accounting and Economics, Elsevier, vol. 25(2), pages 133-168, May.
    15. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
    16. Uday S. Karmarkar, 1987. "Lot Sizes, Lead Times and In-Process Inventories," Management Science, INFORMS, vol. 33(3), pages 409-418, March.
    17. GROTSCH, Volker M. & BLOME, Constantin & SCHLEPER, Martin C., 2013. "Antecedents of proactive supply chain risk management - a contingency theory perspective," LIDAM Reprints CORE 2490, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    18. David L. Olson & Desheng Dash Wu, 2015. "Enterprise Risk Management," World Scientific Book Chapters, in: ENTERPRISE RISK MANAGEMENT, chapter 1, pages 3-12, World Scientific Publishing Co. Pte. Ltd..
    19. Olivier Lavastre & A. Gunasekaran & Alain Spalanzani, 2012. "Supply chain risk management in french companies," Post-Print halshs-00740450, HAL.
    20. Vedran Kordic (ed.), 2008. "Supply Chain," Books, IntechOpen, number 26.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Shuang Yao & Donghua Yu & Yan Song & Hao Yao & Yuzhen Hu & Benhai Guo, 2018. "Dry Bulk Carrier Investment Selection through a Dual Group Decision Fusing Mechanism in the Green Supply Chain," Sustainability, MDPI, vol. 10(12), pages 1-19, November.
    2. Nyamwanza L. & Madzivire E. & Madzivire E., 2020. "Impact of Management Accounting on Decision Making: A Zimbabwean Perspective," Journal of Accounting, Business and Finance Research, Scientific Publishing Institute, vol. 8(3), pages 133-145.
    3. Xiaodong Lv & Angfei Li & Shuhong Wang & Tao Zhang, 2023. "Building a demand-oriented optimal model for the recycling of used electronic products," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 5949-5971, July.
    4. Nyamwanza L. & Madzivire E. & Madzivire E., 2020. "Impact of Management Accounting on Decision Making: A Zimbabwean Perspective," Journal of Accounting, Business and Finance Research, Scientific Publishing Institute, vol. 9(1), pages 37-49.
    5. Özelkan, Ertunga C. & Lim, Churlzu & Adnan, Ziaul Haq, 2018. "Conditions of reverse bullwhip effect in pricing under joint decision of replenishment and pricing," International Journal of Production Economics, Elsevier, vol. 200(C), pages 207-223.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Koen W. de Bock, 2017. "The best of two worlds: Balancing model strength and comprehensibility in business failure prediction using spline-rule ensembles," Post-Print hal-01588059, HAL.
    2. Li, Yongjian & Zhen, Xueping & Qi, Xiangtong & Cai, Gangshu (George), 2016. "Penalty and financial assistance in a supply chain with supply disruption," Omega, Elsevier, vol. 61(C), pages 167-181.
    3. Kamil J. Mizgier & Joseph M. Pasia & Srinivas Talluri, 2017. "Multiobjective capital allocation for supplier development under risk," International Journal of Production Research, Taylor & Francis Journals, vol. 55(18), pages 5243-5258, September.
    4. Jonek-Kowalska, Izabela & Nawrocki, Tomasz L., 2019. "Holistic fuzzy evaluation of operational risk in polish mining enterprises in a long-term and sectoral research perspective," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    5. Taleizadeh, Ata Allah & Sadeghi, Razieh, 2019. "Pricing strategies in the competitive reverse supply chains with traditional and e-channels: A game theoretic approach," International Journal of Production Economics, Elsevier, vol. 215(C), pages 48-60.
    6. Caraiman Adrian-Cosmin & Mates Dorel, 2020. "Risk management in corporate governance," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 14(1), pages 182-201, July.
    7. Levente Bakos & Dănuț Dumitru Dumitrașcu, 2021. "Decentralized Enterprise Risk Management Issues under Rapidly Changing Environments," Risks, MDPI, vol. 9(9), pages 1-19, September.
    8. Bingsheng Liu & Meiqing Fu & Shuibo Zhang & Bin Xue & Qi Zhou & Shiruo Zhang, 2018. "An interval-valued 2-tuple linguistic group decision-making model based on the Choquet integral operator," International Journal of Systems Science, Taylor & Francis Journals, vol. 49(2), pages 407-424, January.
    9. Sisimonda Kinya Mwanja, 2021. "Effect of operational and market risk exposures on financial performance of DT-Saccos in Kenya," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 10(5), pages 107-118, July.
    10. Ivanov, Dmitry & Pavlov, Alexander & Dolgui, Alexandre & Pavlov, Dmitry & Sokolov, Boris, 2016. "Disruption-driven supply chain (re)-planning and performance impact assessment with consideration of pro-active and recovery policies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 90(C), pages 7-24.
    11. Adrian-Cosmin Caraiman, 2020. "The Risk Management in Financing Decisions in Corporate Governance," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 859-865, August.
    12. Hicham Lamzaouek & Hicham Drissi & Naima El Haoud, 2021. "Cash Flow Bullwhip—Literature Review and Research Perspectives," Logistics, MDPI, vol. 5(1), pages 1-9, January.
    13. CARAIMAN Adrian, 2020. "The Risk Management Process In Corporate Guvernance," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 189-198, July.
    14. Schwab, Leila & Gold, Stefan & Reiner, Gerald, 2019. "Exploring financial sustainability of SMEs during periods of production growth: A simulation study," International Journal of Production Economics, Elsevier, vol. 212(C), pages 8-18.
    15. Tangsucheeva, Rattachut & Prabhu, Vittaldas, 2014. "Stochastic financial analytics for cash flow forecasting," International Journal of Production Economics, Elsevier, vol. 158(C), pages 65-76.
    16. Weskamp, Christoph & Koberstein, Achim & Schwartz, Frank & Suhl, Leena & Voß, Stefan, 2019. "A two-stage stochastic programming approach for identifying optimal postponement strategies in supply chains with uncertain demand," Omega, Elsevier, vol. 83(C), pages 123-138.
    17. Caraiman Adrian-Cosmin, 2020. "The Stages Of The Risk Management Process In Corporate Governance," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 3, pages 118-130, June.
    18. Ovidiu Constantin BUNGET & Anca Ioana BRINDUSE, 2019. "Connection Between Controlling Department and Management – Premise for Achieving Organizational Objectives," The Audit Financiar journal, Chamber of Financial Auditors of Romania, vol. 17(156), pages 680-680.
    19. Jie Zhang & Lu Zhang, 2016. "Impacts on CO 2 Emission Allowance Prices in China: A Quantile Regression Analysis of the Shanghai Emission Trading Scheme," Sustainability, MDPI, vol. 8(11), pages 1-12, November.
    20. Sorin Gabriel Anton & Anca Elena Afloarei Nucu, 2020. "Enterprise Risk Management: A Literature Review and Agenda for Future Research," JRFM, MDPI, vol. 13(11), pages 1-22, November.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:tprsxx:v:55:y:2017:i:22:p:6624-6637. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TPRS20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.