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The impact of global risks on supply chain performance. An empirical study on construction sector in the COVID-19 pandemic
Ist Teil von
The International journal of quality & reliability management, 2023-03, Vol.40 (4), p.1009-1035
Ort / Verlag
Bradford: Emerald Publishing Limited
Erscheinungsjahr
2023
Quelle
Emerald Management 200
Beschreibungen/Notizen
PurposeThis paper aims to identify and assess global risks in the supply chain performance.Design/methodology/approachFirst, global risks are identified and classified according to three criteria: content, probability and context. A set of supply chain performance indicators are then defined by the theory of resource-based view and balanced scorecard. Structural equation modeling is adopted to access risks in the global supply chain.FindingsThis article contributes to the supply chain risk management literature by providing a detailed operationalization of global supply chain risk constructs, e.g. natural disasters, war and terrorism, fire accidents, economic and political instability, social and cultural grievances, decease. Empirical results reveal that the supply chain is predominantly regarded as being vulnerable as the proposed model of risks can explain up to 12.6% variance of supplier performance, 25.2% innovation and learning, 23% internal business, 40.6% customer service and 32.4% finance.Research limitations/implicationsThese risks are relevant contextual variables in strategic supply chain decisions. Supply chain managers should keep in mind acceptable cost/benefit tradeoffs in their firms' mitigation efforts associated with major contingency risks. This research advocates the allocation of scarce resources to adopt the supply chain strategies of avoidance, speculative and postponement.Originality/valueThe application of the strategic content/process/context to explain global supply chain performance is an interesting approach. Moreover, globalization trends and the COVID-19 perspectives are considered to be the main reasons for increasing such complex factors. Data on validating research models collected during the COVID-19 pandemic reflect the topicality of this study.