Association analysis of supply chain risk and company sales

Abstract

In recent years, supply chain risk management has captivated both academicians and business practitioners interest, due to increasing catastrophic events and supply chain disruptions. However, the risk management process is highly complex because of the stochastic and dynamic nature and ever growing complexity of supply chains. As the ultimate goal of most enterprises is generating and increasing revenues on the long run, it is valuable to know the effect of specific supply chain risk positions and risk management practices on company sales. In this paper, secondary data on supply chain risk is analyzed and the key risk management strategies responsible for increased company sales are revealed. The novelty of this paper lies in developing a quantifying data mining approach to provide a comprehensive understanding of supply chain risk management (SCRM) and pinpoint focus areas for revenue seeking enterprises. The results prove and showcase that our methodology is capable of providing actionable insights, which were previously unknown or unaddressed.