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Risk Management in the Import/Export Process of an Automobile Company: A Contribution for Supply Chain Sustainability

Author

Listed:
  • Gabriela Costa Dias

    (MPA-PPGA, Universidade Federal Fluminense (UFF), Volta Redonda 27213-145, Brazil)

  • Ualison Rébula de Oliveira

    (MPA-PPGA, Universidade Federal Fluminense (UFF), Volta Redonda 27213-145, Brazil
    MSG-LATEC, Universidade Federal Fluminense (UFF), Niterói 24210-240, Brazil)

  • Gilson Brito Alves Lima

    (MSG-LATEC, Universidade Federal Fluminense (UFF), Niterói 24210-240, Brazil)

  • Vicente Aprigliano Fernandes

    (Instituto de Geografía, Pontificia Universidad Católica de Valparaíso, Valparaíso 2362807, Chile)

Abstract

Supply chain risk management (SCRM) is imperative to achieve business sustainability in the long-term perspective and also to increase companies’ competitiveness. ISO 31000—Risk Management explains in its latest versions the need for companies to integrate a risk management process into their business models. Complementary to this standard, ISO 31010 presents 31 risk tools to guide companies in this task. However, a question of practical application arises as to which tools should be used for each stage of the SCRM process. In view of the raised question, the main objective of this research is to select ISO 31010 tools that can be used in each of the stages (identify, analyze, and evaluate) of the risk management of the import and export process of an automotive industry located in Brazil. For this, the analytic hierarchy process (AHP method) was used in a case study to prioritize the tools to compose the SCRM. As practical implications, this study resulted in the suggestion of a structured risk management process, considering the assessment of key professionals of the department studied in the company.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:11:p:6049-:d:563501
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    References listed on IDEAS

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    Cited by:

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    2. Mehmet Civelek & Michal Erben & Michal Kuděj & Zuzana Vincúrová & Wan Mohd Hirwani Wan Hussain, 2024. "Exploring the influence of risk management capabilities on SMEs’ export intentions: a cross-country analysis," International Entrepreneurship and Management Journal, Springer, vol. 20(3), pages 2369-2396, September.
    3. Ualison Rébula De Oliveira & Hilda Anatiely Donato Souza & Carlos Augusto Gabriel Menezes & Henrique Martins Rocha, 2023. "Straightening machine preventive maintenance intervention plan based on AHP: a case study in a steel company in Brazil," Operations Management Research, Springer, vol. 16(3), pages 1577-1593, September.
    4. Valeska V. Geldres-Weiss & Nathaniel P. Massa & Joaquín Monreal-Pérez, 2021. "Export Promotion Agencies’ Lived Turmoil, Response and Strategies in COVID-19 Times," Sustainability, MDPI, vol. 13(21), pages 1-24, November.
    5. Young-Chan Lee & Idlir Dervishi & Saeed Mousa & Kamil I. Safiullin & Natalia V. Ruban-Lazareva & Mikhail E. Kosov & Vadim V. Ponkratov & Andrey S. Pozdnyaev & Elena V. Mikhina & Izabella D. Elyakova, 2023. "Sustainable Development Adoption in the High-Tech Sector: A Focus on Ecosystem Players and Their Influence," Sustainability, MDPI, vol. 15(18), pages 1-29, September.
    6. Ualison Rébula Oliveira & Camila Oliveira Santos & Gabriel Elias Lunz Chaves & Vicente Aprigliano Fernandes, 2022. "Analysis of the MORT method applicability for risk management in supply chains," Operations Management Research, Springer, vol. 15(3), pages 1361-1382, December.
    7. Asheem Shrestha & Muhammad Jamaluddin Thaheem, 2022. "Risk Management as a Tool for Sustainability," Sustainability, MDPI, vol. 14(7), pages 1-2, April.
    8. Fahim ul Amin & Qian-Li Dong & Katarzyna Grzybowska & Zahid Ahmed & Bo-Rui Yan, 2022. "A Novel Fuzzy-Based VIKOR–CRITIC Soft Computing Method for Evaluation of Sustainable Supply Chain Risk Management," Sustainability, MDPI, vol. 14(5), pages 1-15, February.

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