Reference Framework for Success Factors of Resilient Supply Chains and Practical Application on a Supply Chain Disruption
Rainer Lasch and
Karl Dietrich
Chapter 13 in Modern Finance and Risk Management:Festschrift in Honour of Hermann Locarek-Junge, 2022, pp 289-312 from World Scientific Publishing Co. Pte. Ltd.
Abstract:
The purpose of this chapter is to develop and apply a reference framework which illustrates the success factors of resilient supply chains. The basis of this reference framework is an extensive literature review focussing on identified success factors. After developing the reference framework, it was applied in the form of a case study analysing the reaction of two supply chains to a disruption. This chapter extends the research stream of reference frameworks for supply chain resilience by classifying existing success factors into three layers: fundamental, mediating, and directly influencing success factors. Furthermore, hypotheses regarding the impact of new digital technologies on supply chain resilience were developed. Managers can use this reference framework to analyse the reaction of their company to past supply chain disruptions (SCDs) and consider optimisation needs.
Keywords: Finance; Risk Management; Commodities; Energy Finance; Risk; Cryptocurrencies; Asset Management; Banking; Behavioral Finance; Behavioural Finance; Markowitz; Portfolio Selection; Asset Allocation; Crowdfunding; COVID; Pandemic; Corona; Investment Strategies; Low-Risk Investments; Social Banks; Excess Liquidity; Cost of Capital; Utilities; Network Industries; Private Equity; Small and Medium-Sized Enterprises; Black Swan; Statistical Inference; Maximum Likelihood; Bayesian Methods; Tail Risks; Conditional Value-at-Risk; Tail Nonlinearly Transformed Risk; Capital Constraints; Bank Regulation; Subjective Risk Assessment; Expert Knowledge; Model Risk; Risk Factors; Option Pricing; Volatility; Resilience; Supply Chains; Disruption; Systemic Risk; Oil; Renewable Energies; Corporate Risk Management; Power Purchase Agreements; Gold; Precious Metals; Dynamic Correlation; Mixed Data Sampling (search for similar items in EconPapers)
JEL-codes: G11 G3 G32 G4 (search for similar items in EconPapers)
Date: 2022
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