Annals of Operations Research

, Volume 283, Issue 1–2, pp 179–198 | Cite as

Understanding risk management for intentional supply chain disruptions: risk detection, risk mitigation, and risk recovery

  • Scott DuHadway
  • Steven Carnovale
  • Benjamin HazenEmail author
Applications of OR in Disaster Relief Operations


Strategies to mitigate supply chain risk tend to treat disruptive events as homogenous, despite having different causes and requiring different risk management strategies. We develop a framework to understand effective risk management strategies by considering whether a disruption was caused by an intentional or inadvertent act and whether the source of the disruption was endogenous or exogenous to the supply chain. Based on exploring evidence from risk management strategies for specific disruptions, we find that risk detection is important for both intentional and inadvertent disruptions, while effective risk management practices differ in terms of risk mitigation (relational versus process based approaches) and risk recovery (restructuring versus resilience). The resultant theory-based framework provides a new theoretical perspective on supply chain disruptions and posits that understanding intent and the source of the disruption is critical for appropriate risk management strategies.


Disaster recovery Behavioral supply chain management Risk management Supplier management Organizational information processing theory 


  1. 2014 Annual Report (2014). Analog Devices. Accessed Feb 9, 2016.Google Scholar
  2. Azad, N., Saharidis, G. K., Davoudpour, H., Malekly, H., & Yektamaram, S. A. (2013). Strategies for protecting supply chain networks against facility and transportation disruptions: an improved Benders decomposition approach. Annals of Operations Research, 210(1), 125–163.Google Scholar
  3. Babich, V., & Tang, C. S. (2012). Managing opportunistic supplier product adulteration: Deferred payments, inspection, and combined mechanisms. Manufacturing and Service Operations Management, 14(2), 301–314.Google Scholar
  4. Bartz, D. (2013). U.S. agency: Apple infringes Samsung patent on older iPhones, iPads.Reuters.Google Scholar
  5. Bates, H., Holweg, M., Lewis, M., & Oliver, N. (2007). Motor vehicle recalls: Trends, patterns and emerging issues. Omega, 35(2), 202–210.Google Scholar
  6. Blackhurst, J., Craighead, C. W., Elkins, D., & Handfield, R. B. (2005). An empirically derived agenda of critical research issues for managing supply-chain disruptions. International journal of production research, 43(19), 4067–4081.Google Scholar
  7. Bode, C., Wagner, S. M., Petersen, K. J., & Ellram, L. M. (2011). Understanding responses to supplychain disruptions: Insights from information processing and resource dependence perspectives. Academy of Management Journal, 54(4), 833–856.Google Scholar
  8. Braunscheidel, M. J., & Suresh, N. C. (2009). The organizational antecedents of a firm’s supply chain agility for risk mitigation and response. Journal of operations Management, 27(2), 119–140.Google Scholar
  9. Business Continuity Institute (2012). Supply Chain Resilience 2012. Accessed Jan 6, 2016.
  10. Carnovale, S., & Yeniyurt, S. (2015). The role of ego network structure in facilitating ego network innovations. Journal of Supply Chain Management, 51(2), 22–46.Google Scholar
  11. Cegielski, C. G., Jones-Farmer, L. A., Wu, Y., & Hazen, B. T. (2012). Adoption of cloud computing technologies in supply chains: An organizational information processing theory approach. International Journal of Logistics Management, 23(2), 184–211.Google Scholar
  12. Chang, A. (2011). Mattel must pay MGA $310 million in Bratz case. Los Angeles Times.Google Scholar
  13. Choi, T. Y., Budny, J., & Wank, N. (2004). Intellectual property management: A knowledge supply chain perspective. Business Horizons, 47(1), 37–44.Google Scholar
  14. Chopra, S., & Sodhi, M. S. (2004). Managing risk to avoid supply-chain breakdown. MIT Sloan Management Review, 46(1), 53.Google Scholar
  15. Christopher, M., & Peck, H. (2004). Building the resilient supply chain. The international journal of logistics management, 15(2), 1–14.Google Scholar
  16. Collier, J., & Esteban, R. (2007). Corporate social responsibility and employee commitment. Business ethics: A European review, 16, 19–33.Google Scholar
  17. Craighead, C. W., Blackhurst, J., Rungtusanatham, M. J., & Handfield, R. B. (2007). The severity of supply chain disruptions: Design characteristics and mitigation capabilities. Decision Sciences, 38(1), 131–156. doi: 10.1111/j.1540-5915.2007.00151.x.CrossRefGoogle Scholar
  18. Daft, R. L., & Macintosh, N. B. (1981). A tentative exploration into the amount and equivocality of information processing in organizational work units. Administrative Science Quarterly, 26, 207–224.Google Scholar
  19. de Matta, R. (2016). Contingency planning during the formation of a supply chain. Annals of Operations Research, 1–31. doi: 10.1007/s10479-015-2085-0.Google Scholar
  20. Doherty, B., Paterson, M., Plows, A., & Wall, D. (2003). Explaining the fuel protests. The British Journal of Politics and International Relations, 5(1), 1–23.Google Scholar
  21. Durach, C. F., Weiland, A., & Machuca, J. A. D. (2015). Antecedents and dimensions of supply chain robustness: A systematic literature review. International Journal of Physical Distribution and Logistics Management, 45(1/2), 118–137.Google Scholar
  22. Dyer, J. H., & Nobeoka, K. (2000). Creating and managing a high-performance knowledge-sharing network: The Toyota case. Strategic management journal, 21(3), 345–367.Google Scholar
  23. Ellis, S. C., Shockley, J., & Henry, R. M. (2011). Making sense of supply disruption risk research: A conceptual framework grounded in enactment theory. Journal of Supply Chain Management, 47(2), 65–96. doi: 10.1111/j.1745-493X.2011.03217.x.CrossRefGoogle Scholar
  24. Finch, P. (2004). Supply chain risk management. Supply Chain Management: An International Journal, 9(2), 183–196.Google Scholar
  25. Galbraith, J. R. (1974). Organization design: An information processing view. Interfaces, 4(3), 28–36.Google Scholar
  26. Garvey, M. D., Carnovale, S., & Yeniyurt, S. (2015). An analytical framework for supply network risk propagation: A bayesian network approach. European Journal of Operational Research, 242(2), 618–627.Google Scholar
  27. Giunipero, L. C., & Aly Eltantawy, R. (2004). Securing the upstream supply chain: A risk management approach. International Journal of Physical Distribution and Logistics Management, 34(9), 698–713.Google Scholar
  28. Gosling, J., Purvis, L., & Naim, M. M. (2010). Supply chain flexibility as a determinant of supplier selection. International Journal of Production Economics, 128(1), 11–21.Google Scholar
  29. Hazen, B. T., & Sankar, C. (2015). Cross-border process innovations: Improving the fit between information processing needs and capabilities. International Journal of Innovation and Technology Management, 12(03), 1550013.Google Scholar
  30. Hendricks, K. B., & Singhal, V. R. (2003). The effect of supply chain glitches on shareholder wealth. Journal of operations Management, 21(5), 501–522.Google Scholar
  31. Hendricks, K. B., & Singhal, V. R. (2005). An empirical analysis of the effect of supply chain disruptions on long-run stock price performance and equity risk of the firm. Production and Operations Management, 14(1), 35–52.Google Scholar
  32. Hult, G. T. M., Ketchen, D. J., & Slater, S. F. (2004). Information processing, knowledge development, and strategic supply chain performance. Academy of Management Journal, 47(2), 241–253. doi: 10.2307/20159575.CrossRefGoogle Scholar
  33. Ito, J. K., & Peterson, R. B. (1986). Effects of task difficulty and interunit interdependence on information processing systems. Academy of Management Journal, 29(1), 139–149.Google Scholar
  34. Jüttner, U., Peck, H., & Christopher, M. (2003). Supply chain risk management: Outlining an agenda for future research. International Journal of Logistics: Research and Applications, 6(4), 197–210.Google Scholar
  35. Klayman, B. (2014). Aston Martin recalls 17,590 cars due to counterfeit material. Reuters: Reuters Business News.Google Scholar
  36. Kleindorfer, P. R., & Saad, G. H. (2005). Managing disruption risks in supply chains. Production and Operations Management, 14(1), 53–68.Google Scholar
  37. Kouvelis, P., & Li, J. (2008). Flexible backup supply and the management of lead-time uncertainty. Production and Operations Management, 17(2), 184–199.Google Scholar
  38. Kunreuther, H., & Heal, G. (2003). Interdependent security. Journal of Risk and Uncertainty, 26(2–3), 231–249.Google Scholar
  39. Lee, H. L., & Whang, S. (2005). Higher supply chain security with lower cost: Lessons from total quality management. International Journal of Production Economics, 96(3), 289–300.Google Scholar
  40. Lu, M., Ran, L., & Shen, Z.-J. M. (2015). Reliable facility location design under uncertain correlated disruptions. Manufacturing and Service Operations Management, 17(4), 445–455.Google Scholar
  41. MacKenzie, C. A., Santos, J. R., & Barker, K. (2012). Measuring changes in international production from a disruption: Case study of the Japanese earthquake and tsunami. International Journal of Production Economics, 138(2), 293–302.Google Scholar
  42. Manuj, I., & Mentzer, J. T. (2008). Global supply chain risk management strategies. International Journal of Physical Distribution and Logistics Management, 38(3), 192–223.Google Scholar
  43. Maureen, M. (2014).Taco bell ridicules McDonald’s egg McMuffin in new spot. Advertising Age.Google Scholar
  44. Nam, S., Nam, C., & Kim, S. (2015). The impact of patent litigation on shareholder value in the smartphone industry. Technological Forecasting and Social Change, 95, 182–190.Google Scholar
  45. Narasimhan, R., & Talluri, S. (2009). Perspectives on risk management in supply chains. Journal of operations Management, 27(2), 114–118.Google Scholar
  46. Norrman, A., & Jansson, U. (2004). Ericsson’s proactive supply chain risk management approach after a serious sub-supplier accident. International Journal of Physical Distribution & Logistics Management, 34, 434–456.Google Scholar
  47. Pettit, T. J., Fiksel, J., & Croxton, K. L. (2010). Ensuring supply chain resilience: Development of conceptual framework. Journal of Business Logistics, 31(1), 1–21.Google Scholar
  48. Ping, R. A. (1993). The effects of satisfaction and structural constraints on retailer exiting, voice, loyalty, opportunism, and neglect. Journal of Retailing, 69(3), 320–352.Google Scholar
  49. Poole, M. S. (1978). An information-task approach to organizational communication. Academy of Management Review, 3(3), 493–504.Google Scholar
  50. Prasad, S., Zakaria, R., & Altay, N. (2016). Big data in humanitarian supply chain networks: A resource dependence perspective. Annals of Operations Research, 1–31. doi: 10.1007/s10479-016-2280-7.Google Scholar
  51. Raj Sinha, P., Whitman, L. E., & Malzahn, D. (2004). Methodology to mitigate supplier risk in an aerospace supply chain. Supply Chain Management: An International Journal, 9, 154–168.Google Scholar
  52. Rao, S., & Goldsby, T. J. (2009). Supply chain risks: A review and typology. The International Journal of Logistics Management, 20(1), 97–123.Google Scholar
  53. Salop, S. C., & Scheffman, D. T. (1983). Raising rivals’ costs. The American Economic Review, 73(2), 267–271.Google Scholar
  54. Schmidt, W., & Raman, A. (2012). When supply-chain disruptions matter. Boston, MA: Harvard Business School Boston.Google Scholar
  55. Sheffi, Y. (2001). Supply chain management under the threat of international terrorism. The International Journal of Logistics Management, 12(2), 1–11.Google Scholar
  56. Sheffi, Y. (2005). The resilient enterprise: Overcoming vulnerability for competitive advantage. MIT Press.Google Scholar
  57. Sheffi, Y., & Rice, J. B, Jr. (2005). A supply chain view of the resilient enterprise. MIT Sloan Management Review, 47(1), 41.Google Scholar
  58. Shtub, A., Bard, J. F., & Globerson, S. (1994). Project management: Engineering, technology, and implementation. Prentice-Hall, Inc.Google Scholar
  59. Smith, K. G., Grimm, C. S., Gannon, M. J., & Chen, M. (1991). Organizational information processing, competitive responses, and performance in the US domestic airline industry. Academy of Management Journal, 34, 60–85.Google Scholar
  60. Stevenson, W. B., & Gilly, M. C. (1991). Information processing and problem solving: The migration of problems through formal positions and networks of ties. Academy of Management Journal, 34(4), 918–928.Google Scholar
  61. Sullivan, A. K. (2010). Piracy in the Horn of Africa and its effects on the global supply chain. Journal of Transportation Security, 3(4), 231–243.Google Scholar
  62. Tang, C. S. (2006). Robust strategies for mitigating supply chain disruptions. International Journal of Logistics: Research and Applications, 9(1), 33–45.Google Scholar
  63. Tomlin, B. (2006). On the value of mitigation and contingency strategies for managing supply chain disruption risks. Management Science, 52(5), 639–657.Google Scholar
  64. Tuggle, F. D., & Gerwin, D. (1980). An information processing model of organizational perception, strategy and choice. Management Science, 26(6), 575–592.Google Scholar
  65. Tushman, M. L., & Nadler, D. A. (1978). Information processing as an integrating concept in organizational design. Academy of Management Review, 3(3), 613–624.Google Scholar
  66. Véronneau, S., & Roy, J. (2014). Security at the source: Securing today’s critical supply chain networks. Journal of Transportation Security, 7(4), 359–371.Google Scholar
  67. Wang, X., Wu, Y., Liang, L., & Huang, Z. (2014). Service outsourcing and disaster response methods in a relief supply chain. Annals of Operations Research, 240, 1–17.Google Scholar
  68. Williamson, O. E. (1985). The economic intstitutions of capitalism. New York City: Simon and Schuster.Google Scholar
  69. Woo, C. (2008). Mattels Recalls (2007): Communication implications for quality control, outsourcing and consumer relations. Arthur. W. Page Society. 2008 Case Study Competition Journal.Google Scholar
  70. Wu, Y., Cegielski, C. G., Hazen, B. T., & Hall, D. J. (2013). Cloud computing in support of supply chain information system infrastructure: Understanding when to go to the cloud. Journal of Supply Chain Management, 49(3), 25–41.Google Scholar
  71. Xu, J., Zhuang, J., & Liu, Z. (2016). Modeling and mitigating the effects of supply chain disruption in a defender-attacker game. Annals of Operations Research, 236(1), 255–270.Google Scholar
  72. Zolkos, R. (2003). Many companies still ignoring supply-chain risks. Business Insurance, 37(43), 21.Google Scholar

Copyright information

© US Government 2017

Authors and Affiliations

  • Scott DuHadway
    • 1
  • Steven Carnovale
    • 1
  • Benjamin Hazen
    • 2
    Email author
  1. 1.School of Business AdministrationPortland State UniversityPortlandUSA
  2. 2.Department of Operational SciencesAir Force Institute of TechnologyDaytonUSA

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