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Identification of Design Variables for a Supply Chain Risk Management Audit

In: Innovations and Strategies for Logistics and Supply Chains: Technologies, Business Models and Risk Management. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 20

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  • Schröder, Meike
  • Beck, Johannes
  • Kersten, Wolfgang

Abstract

Due to an increasing vulnerability in today's supply chains a supply chain risk management (SCRM) system is strongly recommended, especially for companies with a high degree of dependence on supply chain partners. However, as a permanent and effective use of the SCRM system is not only ensured by a successful implementation, an appropriate control mechanism needs to be implemented. Auditing the SCRM system can be such a solution. The main objective of this study is the identification of variables and their possible design related to SCRM systems. Based on an extensive literature review aiming to identify those variables, an empirical study with experts in the field of auditing is carried out. The transmission of the results to the concept of SCRM leads to possible configurations of the variables, both for a general internal SCRM self-audit and an audit focused on small and medium sized enterprises (SME).

Suggested Citation

  • Schröder, Meike & Beck, Johannes & Kersten, Wolfgang, 2015. "Identification of Design Variables for a Supply Chain Risk Management Audit," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Innovations and Strategies for Logistics and Supply Chains: Technologies, Business Models and Risk Management. Proceedings of the Hamburg Internationa, volume 20, pages 479-501, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    • Handle: RePEc:zbw:hiclch:209266
    DOI: 10.15480/882.1264
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    References listed on IDEAS

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    1. Tang, Christopher S., 2006. "Perspectives in supply chain risk management," International Journal of Production Economics, Elsevier, vol. 103(2), pages 451-488, October.
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