Thanks for helping us catch any problems with articles on DeepDyve. We'll do our best to fix them. Check all that apply - Please note that only the first page is available if you have not selected a reading option after clicking "Read Article". Include any more information that will help us locate the issue and fix it faster for you. Purpose — Supply chain risk management SCRM has recently gained increasing attention in the supply chain context, both from the practitioners' perspective and as a research area.
Managing Risks: A New Framework
Risk management in new product development : a systematic review of literature - CORE
Supply chain risk management SCRM has recently gained increasing attention in the supply chain context, both from the practitioners' perspective and as a research area. Given the relevance of the topic, the aim of the present paper is to present a focused literature review, investigating the process of knowledge creation, transfer and development from a dynamic perspective within the context of SCRM. A review of the literature on SCRM was undertaken. The new proposed methodology combines the systematic literature review approach to identify the most relevant articles to be included in the study with the citation network analysis in order to unfold the dynamics of the field under study. The authors define this new methodology as systematic literature network analysis. The paper demonstrates that there are a number of key themes in the field of SCRM. The contributions that influenced the field were identified and, by analysing the evolution over time of key concepts, a number of research directions were identified and discussed.
Supply chain risk management is back
There has been a recent trend in several management disciplines, including supply chain management, to create knowledge by systematically reviewing available literature. Our systematic literature review process follows six steps: 1 develop an initial theoretical framework; 2 develop criteria for determining whether a publication can provide information regarding this framework; 3 identify literature through structured and rigorous searches; 4 conduct theoretically driven selection of literature and a relevance test; 5 develop two data extraction structures, integrate data to refine the theoretical framework, and develop narrative propositions; and 6 explain the refined framework and compare it to the initial assumptions. We believe that these best-practice guidelines, although developed for the SCM discipline, can be used as a blueprint also for adjacent management disciplines. Durach, C. Journal of Supply Chain Management , 53 4 ,
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