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Impact of Information Asymmetry and Limited Production Capacity on Business Interruption Insurance

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  • Yuan-Mao Kao

    (Fuqua School of Business, Duke University, Durham, North Carolina 27708)

  • N. Bora Keskin

    (Fuqua School of Business, Duke University, Durham, North Carolina 27708)

  • Kevin Shang

    (Fuqua School of Business, Duke University, Durham, North Carolina 27708)

Abstract

We consider a firm that faces a potential disruption in its normal operations can purchase business interruption (BI) insurance from an insurer to guard against the disruption risk. The firm makes demand forecasts and can put a recovery effort if a disruption occurs; both are unobservable to the insurer. Accordingly, the insurer offers BI insurance to the firm while facing adverse selection and moral hazard . We first find that, because of the joint effect of limited production capacity and self-impelled recovery effort, the firm with a lower demand forecast benefits more from BI insurance than that with a higher demand forecast. Anticipating a higher premium, the low-demand firm has an incentive to pretend to have the higher demand forecast to obtain more profit. We then derive the optimal insurance contracts to deal with the information asymmetry and show how the firm’s characteristics affect the optimal contracts. Both high- and low-demand contracts are affected by the firm’s operational characteristics in the same direction, and the informational characteristics impact those contracts differently. We also analyze the case in which the firm can choose its initial capacity and find that, from the firm’s perspective, capacity and BI insurance could be either substitutes or complements.

Suggested Citation

  • Yuan-Mao Kao & N. Bora Keskin & Kevin Shang, 2022. "Impact of Information Asymmetry and Limited Production Capacity on Business Interruption Insurance," Management Science, INFORMS, vol. 68(4), pages 2824-2841, April.
    • Handle: RePEc:inm:ormnsc:v:68:y:2022:i:4:p:2824-2841
    DOI: 10.1287/mnsc.2020.3776
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    References listed on IDEAS

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    1. Mussa, Michael & Rosen, Sherwin, 1978. "Monopoly and product quality," Journal of Economic Theory, Elsevier, vol. 18(2), pages 301-317, August.
    2. , & ,, 2012. "Optimal insurance with adverse selection," Theoretical Economics, Econometric Society, vol. 7(3), September.
    3. Ravi Anupindi & Ram Akella, 1993. "Diversification Under Supply Uncertainty," Management Science, INFORMS, vol. 39(8), pages 944-963, August.
    4. Brian Tomlin, 2006. "On the Value of Mitigation and Contingency Strategies for Managing Supply Chain Disruption Risks," Management Science, INFORMS, vol. 52(5), pages 639-657, May.
    5. Steven Shavell, 1979. "On Moral Hazard and Insurance," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 93(4), pages 541-562.
    6. Berger, Paul D. & Gerstenfeld, Arthur & Zeng, Amy Z., 2004. "How many suppliers are best? A decision-analysis approach," Omega, Elsevier, vol. 32(1), pages 9-15, February.
    7. Lingxiu Dong & Sammi Yu Tang & Brian Tomlin, 2018. "Production Chain Disruptions: Inventory, Preparedness, and Insurance," Production and Operations Management, Production and Operations Management Society, vol. 27(7), pages 1251-1270, July.
    8. Egri, Péter & Váncza, József, 2012. "Channel coordination with the newsvendor model using asymmetric information," International Journal of Production Economics, Elsevier, vol. 135(1), pages 491-499.
    9. Lingxiu Dong & Brian Tomlin, 2012. "Managing Disruption Risk: The Interplay Between Operations and Insurance," Management Science, INFORMS, vol. 58(10), pages 1898-1915, October.
    10. Michael Rothschild & Joseph Stiglitz, 1976. "Equilibrium in Competitive Insurance Markets: An Essay on the Economics of Imperfect Information," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 90(4), pages 629-649.
    11. Kevin H. Shang & Jing-Sheng Song, 2006. "A Closed-Form Approximation for Serial Inventory Systems and Its Application to System Design," Manufacturing & Service Operations Management, INFORMS, vol. 8(4), pages 394-406, September.
    12. Lawrence V. Snyder & Zümbül Atan & Peng Peng & Ying Rong & Amanda J. Schmitt & Burcu Sinsoysal, 2016. "OR/MS models for supply chain disruptions: a review," IISE Transactions, Taylor & Francis Journals, vol. 48(2), pages 89-109, February.
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