Resilience of Supply Chains in the Automotive Industry during the COVID-19 Pandemic on the Example of Polish Enterprises
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- Alexandre Dolgui & Dmitry Ivanov & Boris Sokolov, 2018. "Ripple effect in the supply chain: an analysis and recent literature," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 414-430, January.
- Siva Kumar & Ramesh Anbanandam, 2020. "Impact of risk management culture on supply chain resilience: An empirical study from Indian manufacturing industry," Journal of Risk and Reliability, , vol. 234(2), pages 246-259, April.
- Marta Kadłubek & Eleftherios Thalassinos & Joanna Domagała & Sandra Grabowska & Sebastian Saniuk, 2022. "Intelligent Transportation System Applications and Logistics Resources for Logistics Customer Service in Road Freight Transport Enterprises," Energies, MDPI, vol. 15(13), pages 1-27, June.
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Keywords
Automotive industry; changes in supply chains; disruptions in supply chains; disruptions in the COVID-19 pandemic.;All these keywords.
JEL classification:
- D04 - Microeconomics - - General - - - Microeconomic Policy: Formulation; Implementation; Evaluation
- D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
- D30 - Microeconomics - - Distribution - - - General
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