Investigation of Supply Chain Risk Utilising Cynefin Model
Supply chains seem increasingly susceptible to unexpected disruptions. The concept of supply chain (SC) risk still remains ambiguous 44 and a lack of understanding of supply chain disruption makes its identification, categorisation and measurement more difficult. There are qualitative differences among risks and important non-quantifiable information cannot be ignored. Biased assessment could be generated if models, tools and techniques are misleadingly implemented. Moreover, development of methods for risk assessment without considering the attribute of the risk could lead to assessment failure. In the light of these gaps, the purpose of the study is to utilise the Cynefin model to help managers further understand both quantitative and qualitative aspects of supply chain disruptions to avoid biased assessment. More specifically, it attempts to provide a framework for analysing the attributes of supply chain disruption to assist decision making on the methods for its assessment.
Supply Chain Risk Cynefin Model
Yang Chu
The University of Manchester, Booth Street West, Manchester, UK, M15 6PB
国际会议
香港·广州
英文
848-854
2010-07-25（万方平台首次上网日期，不代表论文的发表时间）