Application of Fuzzy Regression to Explain the Relationship between Supply Chain Management and Financial Performance

Abstract

In the current competitive market, the supply chain performance has the key role in the success of organization. The lack of links between supply chain operations and financial performance seems to be related to the perception on the difficulty of translating supply chain operational measures into financial targets. In this study, the relationship between supply chain management (SCM) and financial performance of companies listed in Tehran stock exchange (TSE), based on data from 108 companies during the years 2006-2014 is examined. In this regard, 4 hypotheses are codified. The statistical method used in testing hypotheses is fuzzy regression method. The results show that sale growth (GROWTH) and return on working capital (ROWC) variables are positively related with the market value of the assets (MVA). Also, cost of good soled (COGS) and cash conversion cycle (CCC) variables are negatively related with the return on assets (ROA). The results are probable to be applied by supply Chain managemer and financial professionals.

Keywords

• supply chain management
• financial performance
• scor model
• fuzzy regression