IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v216y2019icp215-226.html
   My bibliography  Save this article

Learning from near-miss events: An organizational learning perspective on supply chain disruption response

Author

Listed:
  • Azadegan, Arash
  • Srinivasan, Ravi
  • Blome, Constantin
  • Tajeddini, Kayhan

Abstract

Studying near-miss events – occasions when a company comes close to being negatively impacted – can help identify systemic issues and thereby enhance organizational resilience. However, what is not known is how firms learn from near-miss events, and how their learning is translated into response strategies in the face of supply chain disruptions. In this study, we address the following research questions - How does exposure to near-misses reflect in organizational response strategies to supply chain disruptions? Using single and double-loop learning from organizational learning theory, we examine how firms implement response strategies based on near-miss events. In addition, we examine the moderating effects of institutional pressures (from regulatory bodies and industry associations) into the model. We test the hypotheses using responses from 448 organizations in Germany, Switzerland and Sweden. Our results indicate that exposure to near-miss events leads firms to strengthen their focus on procedural response strategies and to lower their focus on flexible response strategies. Industry pressure furthers the effects of near-miss exposure in applying procedural strategies and limiting the application of flexible strategies. Regulatory pressure furthers the effects of near-miss exposure in limiting the application of flexible strategies. This study extends the body of supply chain disruption management to the concept of near-misses and explains how institutional context play a major role in learning of supply chain disruption responses.

Suggested Citation

  • Azadegan, Arash & Srinivasan, Ravi & Blome, Constantin & Tajeddini, Kayhan, 2019. "Learning from near-miss events: An organizational learning perspective on supply chain disruption response," International Journal of Production Economics, Elsevier, vol. 216(C), pages 215-226.
  • Handle: RePEc:eee:proeco:v:216:y:2019:i:c:p:215-226
    DOI: 10.1016/j.ijpe.2019.04.021
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527319301446
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijpe.2019.04.021?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. BLOME, Constantin & SCHOENHERR, Tobias & ECKSTEIN, Dominik, 2014. "The impact of knowledge transfer and complexity on supply chain flexibility: a knowledge-based view," LIDAM Reprints CORE 2603, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. William H Starbuck & Philippe Baumard, 2005. "Learning From Failures: Why It May Not Happen," Post-Print hal-03228735, HAL.
    3. Li, Gang & Fan, Huan & Lee, Peter K.C. & Cheng, T.C.E., 2015. "Joint supply chain risk management: An agency and collaboration perspective," International Journal of Production Economics, Elsevier, vol. 164(C), pages 83-94.
    4. James R. Phimister & Ulku Oktem & Paul R. Kleindorfer & Howard Kunreuther, 2003. "Near‐Miss Incident Management in the Chemical Process Industry," Risk Analysis, John Wiley & Sons, vol. 23(3), pages 445-459, June.
    5. Joseph Lampel & Jamal Shamsie & Zur Shapira, 2009. "Experiencing the Improbable: Rare Events and Organizational Learning," Organization Science, INFORMS, vol. 20(5), pages 835-845, October.
    6. Hendrik Brumme & Daniel Simonovich & Wickham Skinner & Luk N. Van Wassenhove, 2015. "The Strategy-Focused Factory in Turbulent Times," Production and Operations Management, Production and Operations Management Society, vol. 24(10), pages 1513-1523, October.
    7. Kevin P. Scheibe & Jennifer Blackhurst, 2018. "Supply chain disruption propagation: a systemic risk and normal accident theory perspective," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 43-59, January.
    8. Catherine H. Tinsley & Robin L. Dillon & Matthew A. Cronin, 2012. "How Near-Miss Events Amplify or Attenuate Risky Decision Making," Management Science, INFORMS, vol. 58(9), pages 1596-1613, September.
    9. Daniel A. Levinthal & James G. March, 1993. "The myopia of learning," Strategic Management Journal, Wiley Blackwell, vol. 14(S2), pages 95-112, December.
    10. Robin L. Dillon & Catherine H. Tinsley & William J. Burns, 2014. "Near‐Misses and Future Disaster Preparedness," Risk Analysis, John Wiley & Sons, vol. 34(10), pages 1907-1922, October.
    11. Naresh K. Malhotra & Sung S. Kim & Ashutosh Patil, 2006. "Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research," Management Science, INFORMS, vol. 52(12), pages 1865-1883, December.
    12. Karlene H. Roberts, 1990. "Some Characteristics of One Type of High Reliability Organization," Organization Science, INFORMS, vol. 1(2), pages 160-176, May.
    13. Andriulo, S. & Gnoni, M.G., 2014. "Measuring the effectiveness of a near-miss management system: An application in an automotive firm supplier," Reliability Engineering and System Safety, Elsevier, vol. 132(C), pages 154-162.
    14. Robert B. Handfield & Paul D. Cousins & Benn Lawson & Kenneth J. Petersen, 2015. "How Can Supply Management Really Improve Performance? A Knowledge-Based Model of Alignment Capabilities," Journal of Supply Chain Management, Institute for Supply Management, vol. 51(3), pages 3-17, July.
    15. Goerlandt, Floris & Kujala, Pentti, 2011. "Traffic simulation based ship collision probability modeling," Reliability Engineering and System Safety, Elsevier, vol. 96(1), pages 91-107.
    16. 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.
    17. Robin L. Dillon & Catherine H. Tinsley & Matthew Cronin, 2011. "Why Near‐Miss Events Can Decrease an Individual's Protective Response to Hurricanes," Risk Analysis, John Wiley & Sons, vol. 31(3), pages 440-449, March.
    18. Karl E. Weick, 1991. "The Nontraditional Quality of Organizational Learning," Organization Science, INFORMS, vol. 2(1), pages 116-124, February.
    19. Kinra, Aseem & Kotzab, Herbert, 2008. "A macro-institutional perspective on supply chain environmental complexity," International Journal of Production Economics, Elsevier, vol. 115(2), pages 283-295, October.
    20. Robin L. Dillon & Catherine H. Tinsley, 2008. "How Near-Misses Influence Decision Making Under Risk: A Missed Opportunity for Learning," Management Science, INFORMS, vol. 54(8), pages 1425-1440, August.
    21. Demeter, Krisztina, 2014. "Operating internationally—The impact on operational performance improvement," International Journal of Production Economics, Elsevier, vol. 149(C), pages 172-182.
    22. Azadegan, Arash & Wagner, Stephan M., 2011. "Industrial upgrading, exploitative innovations and explorative innovations," International Journal of Production Economics, Elsevier, vol. 130(1), pages 54-65, March.
    23. Wei, Zelong & Song, Xi & Wang, Donghan, 2017. "Manufacturing flexibility, business model design, and firm performance," International Journal of Production Economics, Elsevier, vol. 193(C), pages 87-97.
    24. Blome, Constantin & Schoenherr, Tobias & Eckstein, Dominik, 2014. "The impact of knowledge transfer and complexity on supply chain flexibility: A knowledge-based view," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 307-316.
    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. Marcelo Martins de Sa & Alexandre Luis Prim & Laura Birou, 2023. "With major risks comes great resilience: the COVID-19 effect on SMEs in a developing country," Operations Management Research, Springer, vol. 16(2), pages 1043-1055, June.
    2. Papanagnou, Christos & Seiler, Andreas & Spanaki, Konstantina & Papadopoulos, Thanos & Bourlakis, Michael, 2022. "Data-driven digital transformation for emergency situations: The case of the UK retail sector," International Journal of Production Economics, Elsevier, vol. 250(C).
    3. Vafadarnikjoo, Amin & Tavana, Madjid & Chalvatzis, Konstantinos & Botelho, Tiago, 2022. "A socio-economic and environmental vulnerability assessment model with causal relationships in electric power supply chains," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).

    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. Pamela R. Haunschild & Francisco Polidoro & David Chandler, 2015. "Organizational Oscillation Between Learning and Forgetting: The Dual Role of Serious Errors," Organization Science, INFORMS, vol. 26(6), pages 1682-1701, December.
    2. Starbuck, William H. & Barnett, Michael L. & Baumard, Philippe, 2008. "Payoffs and pitfalls of strategic learning," Journal of Economic Behavior & Organization, Elsevier, vol. 66(1), pages 7-21, April.
    3. Morgan, Tyler R. & Roath, Anthony S. & Glenn Richey, Robert, 2023. "How risk, transparency, and knowledge influence the adaptability and flexibility dimensions of the responsiveness view," Journal of Business Research, Elsevier, vol. 158(C).
    4. Zhipeng Zhou & Chaozhi Li & Chuanmin Mi & Lingfei Qian, 2019. "Exploring the Potential Use of Near-Miss Information to Improve Construction Safety Performance," Sustainability, MDPI, vol. 11(5), pages 1-21, February.
    5. Alexa Tanner & Ryan Reynolds, 2020. "The near-miss of a tsunami and an emergency evacuation: the post-exposure effects on future emergency preparedness and evacuation intentions," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(2), pages 1679-1693, November.
    6. Heinrich, Timo & Seifert, Matthias & Then, Franziska, 2020. "Near-losses in insurance markets: An experiment," Economics Letters, Elsevier, vol. 186(C).
    7. Cerchione, Roberto & Esposito, Emilio, 2016. "A systematic review of supply chain knowledge management research: State of the art and research opportunities," International Journal of Production Economics, Elsevier, vol. 182(C), pages 276-292.
    8. André Luis Silva & Márcia de Freitas Duarte & Flávia Plutarco, 2020. "Organizational Rare Events: Theory and Research Practice," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 72(4), pages 635-659, October.
    9. Melek Akın Ateş & Robert Suurmond & Davide Luzzini & Daniel Krause, 2022. "Order from chaos: A meta‐analysis of supply chain complexity and firm performance," Journal of Supply Chain Management, Institute for Supply Management, vol. 58(1), pages 3-30, January.
    10. Marta Pérez-Pérez & Canan Kocabasoglu-Hillmer & Ana María Serrano-Bedia & María Concepción López-Fernández, 2019. "Manufacturing and Supply Chain Flexibility: Building an Integrative Conceptual Model Through Systematic Literature Review and Bibliometric Analysis," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 20(1), pages 1-23, December.
    11. Ihnji Jon & Shih‐Kai Huang & Michael K. Lindell, 2019. "Perceptions and Expected Immediate Reactions to Severe Storm Displays," Risk Analysis, John Wiley & Sons, vol. 39(1), pages 274-290, January.
    12. Schmidt, Christoph G. & Wuttke, David A. & Heese, H. Sebastian & Wagner, Stephan M., 2023. "Antecedents of public reactions to supply chain glitches," International Journal of Production Economics, Elsevier, vol. 259(C).
    13. Peter Madsen & Robin L. Dillon & Catherine H. Tinsley, 2016. "Airline Safety Improvement Through Experience with Near‐Misses: A Cautionary Tale," Risk Analysis, John Wiley & Sons, vol. 36(5), pages 1054-1066, May.
    14. James H. Love & Stephen Roper & Priit Vahter, 2014. "Learning from openness: The dynamics of breadth in external innovation linkages," Strategic Management Journal, Wiley Blackwell, vol. 35(11), pages 1703-1716, November.
    15. Hao, Bin & Feng, Yanan, 2018. "Leveraging learning forces in asymmetric alliances: Small firms’ perceived power imbalance in driving exploration and exploitation," Technovation, Elsevier, vol. 78(C), pages 27-39.
    16. Parker, Simon C., 2013. "Do serial entrepreneurs run successively better-performing businesses?," Journal of Business Venturing, Elsevier, vol. 28(5), pages 652-666.
    17. Mehmet Ali Köseoglu & John A. Parnell & Melissa Yan Yee Yick, 2021. "Identifying influential studies and maturity level in intellectual structure of fields: evidence from strategic management," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1271-1309, February.
    18. Tseng, Shu-Mei, 2014. "The impact of knowledge management capabilities and supplier relationship management on corporate performance," International Journal of Production Economics, Elsevier, vol. 154(C), pages 39-47.
    19. Demeter, Krisztina & Szász, Levente & Rácz, Béla-Gergely, 2016. "The impact of subsidiaries’ internal and external integration on operational performance," International Journal of Production Economics, Elsevier, vol. 182(C), pages 73-85.
    20. Chen, Kuan-Yang & Huan, Tzung-Cheng, 2022. "Explore how SME family businesses of travel service industry use market knowledge for product innovation," Journal of Business Research, Elsevier, vol. 151(C), pages 519-530.

    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:eee:proeco:v:216:y:2019:i:c:p:215-226. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    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.