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Production, Process Investment, and the Survival of Debt‐Financed Startup Firms

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  • Fehmi Tanrısever
  • S. Sinan Erzurumlu
  • Nitin Joglekar

Abstract

Whether to invest in process development that can reduce the unit cost and thereby raise future profits or to conserve cash and reduce the likelihood of bankruptcy is a key trade‐off faced by many startup firms that have taken on debt. We explore this trade‐off by examining the production quantity and cost reducing R&D investment decisions in a two period model wherein a startup firm must make a minimum level of profit at the end of the first period to survive and operate in the second period. We specify a probabilistic survival measure as a function of production and investment decisions to track and manage the risk exposure of the startup depending on three key market factors: technology, demand, and competitor's cost. We develop managerial insights by characterizing how to create operational hedges against the bankruptcy risk: if a startup makes a “conservative” investment decision, then it also selects an optimal quantity that is less than the monopoly level and hence sacrifices some of first period expected profits to increase its survival chances. If it decides to invest “aggressively,” then it produces more than the monopoly level to cover the higher bankruptcy risk. We also illustrate that debt constraint shrinks the decision space, wherein such process investments are viable.

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  • Fehmi Tanrısever & S. Sinan Erzurumlu & Nitin Joglekar, 2012. "Production, Process Investment, and the Survival of Debt‐Financed Startup Firms," Production and Operations Management, Production and Operations Management Society, vol. 21(4), pages 637-652, July.
  • Handle: RePEc:bla:popmgt:v:21:y:2012:i:4:p:637-652
    DOI: 10.1111/j.1937-5956.2012.01319.x
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    4. Erica L. Plambeck & Terry A. Taylor, 2013. "On the Value of Input Efficiency, Capacity Efficiency, and the Flexibility to Rebalance Them," Manufacturing & Service Operations Management, INFORMS, vol. 15(4), pages 630-639, October.
    5. Francis de Véricourt, & Huseyin Gurkan,, 2020. "Contracting, pricing, and data collection under the AI flywheel effect," ESMT Research Working Papers ESMT-20-01, ESMT European School of Management and Technology.
    6. Huseyin Gurkan & Francis de Véricourt, 2020. "Contracting, pricing, and data collection under the AI flywheel effect," ESMT Research Working Papers ESMT-20-01_R3, ESMT European School of Management and Technology, revised 17 Aug 2021.
    7. Huseyin Gurkan & Francis de Véricourt, 2020. "Contracting, pricing, and data collection under the AI flywheel effect," ESMT Research Working Papers ESMT-20-01_R2, ESMT European School of Management and Technology, revised 17 May 2021.
    8. Chen, Zhen & Rossi, Roberto, 2021. "A dynamic ordering policy for a stochastic inventory problem with cash constraints," Omega, Elsevier, vol. 102(C).
    9. Cao, Bin & Zhong, Yuanguang & Zhou, Yong-Wu, 2024. "The role of completely joint liability in financing multiple capital-constrained firms: Risk sharing, inventory and financial strategies," European Journal of Operational Research, Elsevier, vol. 313(3), pages 1072-1087.
    10. Yongyi Zhou & Yulin Zhang & Mark Goh, 2021. "Choice of pricing and advertising schemes for a two‐sided platform," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(7), pages 1865-1885, October.
    11. Wei Luo & Kevin Shang, 2015. "Joint Inventory and Cash Management for Multidivisional Supply Chains," Operations Research, INFORMS, vol. 63(5), pages 1098-1116, October.
    12. Fehmi Tanrisever & Nitin Joglekar & Sinan Erzurumlu & Moren Lévesque, 2021. "Managing Capital Market Frictions via Cost-Reduction Investments," Manufacturing & Service Operations Management, INFORMS, vol. 23(1), pages 88-105, 1-2.
    13. Chen, Zhen & Archibald, Thomas W., 2024. "Maximizing the survival probability in a cash flow inventory problem with a joint service level constraint," International Journal of Production Economics, Elsevier, vol. 270(C).

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