Abstract
Supply chains became more complex, widespread and vulnerable to disruptions over the past years, above all else due to an increasing digitalization in all industries. An effective supply chain risk management (SCRM) requires human decision-making in all phases, especially when it comes to manage the risks of digital applications. However, researchers in various disciplines showed that human decisions are often biased and hence not fully rational as typically assumed in SCRM research and practice. This leads to potential risks being missed completely, their likelihood being underestimated or to insufficient mitigation strategies being applied. We contribute to this issue by combining a systematic literature review on SCRM and cognitive biases (CB) with insights from practice. We present several use cases of digitalization projects in different industries to show the influence of CB on the risk identification, risk assessment and risk mitigation. Based on this, we provide first guidelines for theory and practice on how to consider CB in designing a successful SCRM and thus, how to make digitalized supply chains more resilient.
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Arlinghaus, J.C., Zimmermann, M., Zahner, M. (2020). The Influence of Cognitive Biases on Supply Chain Risk Management in the Context of Digitalization Projects. In: Freitag, M., Haasis, HD., Kotzab, H., Pannek, J. (eds) Dynamics in Logistics. LDIC 2020. Lecture Notes in Logistics. Springer, Cham. https://doi.org/10.1007/978-3-030-44783-0_13
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