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Supply chain risk: empirical research in the automotive industry

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  • Paula Santos Ceryno
  • Luiz Felipe Scavarda
  • Katja Klingebiel

Abstract

Supply chain risk management (SCRM) has become a popular topic over the past decade. It is not a surprise that the automotive industry has been a motivating arena for research within this field; however, the few existing empirical studies reveal that SCRM practices within this industry are still in their infancy. Because the identification of risks can be viewed as the trigger for SCRM, attempts to develop a risk profile for this industry that could serve as a guide to start the SCRM process are needed. This research identifies the main risks along the automotive supply chain by investigating their manifestation in three supply chains in Brazil and offers an initial risk profile for the Brazilian automotive industry. Although the importance of SCRM has been recognised by all analysed companies, the research findings underline the lack of preparedness regarding either identifying risk or considering risk-mitigation strategies and risk assessment. In this context, this study identifies the main risk in which a supply chain can be exposed, through the analysis of real-life manifested risks along different supply chains, as a way to help the supply chain start a SCRM process.

Suggested Citation

  • Paula Santos Ceryno & Luiz Felipe Scavarda & Katja Klingebiel, 2015. "Supply chain risk: empirical research in the automotive industry," Journal of Risk Research, Taylor & Francis Journals, vol. 18(9), pages 1145-1164, October.
    • Handle: RePEc:taf:jriskr:v:18:y:2015:i:9:p:1145-1164
    DOI: 10.1080/13669877.2014.913662
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    References listed on IDEAS

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    1. Yossi Sheffi, 2005. "The Resilient Enterprise: Overcoming Vulnerability for Competitive Advantage," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262693496, December.
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    1. Muhammad Junaid & Ye Xue & Muzzammil Wasim Syed & Ji Zu Li & Muhammad Ziaullah, 2019. "A Neutrosophic AHP and TOPSIS Framework for Supply Chain Risk Assessment in Automotive Industry of Pakistan," Sustainability, MDPI, vol. 12(1), pages 1-26, December.
    2. Kraude, Richard & Narayanan, Sriram & Talluri, Srinivas, 2022. "Evaluating the performance of supply chain risk mitigation strategies using network data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1168-1182.
    3. Dabo Guan & Daoping Wang & Stephane Hallegatte & Steven J. Davis & Jingwen Huo & Shuping Li & Yangchun Bai & Tianyang Lei & Qianyu Xue & D’Maris Coffman & Danyang Cheng & Peipei Chen & Xi Liang & Bing, 2020. "Global supply-chain effects of COVID-19 control measures," Nature Human Behaviour, Nature, vol. 4(6), pages 577-587, June.
    4. Nikola Komatina & Marko Djapan & Igor Ristić & Aleksandar Aleksić, 2021. "Fulfilling External Stakeholders’ Demands—Enhancement Workplace Safety Using Fuzzy MCDM," Sustainability, MDPI, vol. 13(5), pages 1-21, March.
    5. Gabriela Costa Dias & Ualison Rébula de Oliveira & Gilson Brito Alves Lima & Vicente Aprigliano Fernandes, 2021. "Risk Management in the Import/Export Process of an Automobile Company: A Contribution for Supply Chain Sustainability," Sustainability, MDPI, vol. 13(11), pages 1-20, May.

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