Designing a Model for Selecting Financing Sources of Iranian Industrial Enterprises with Fuzzy ISM-MICMAC Approach

Abstract

Financing ultimately is aimed at increasing the value of the business through planning, executing, as well as applying financial resources besides balancing profitability and risk. This is realized when financial managers make proper decision about which financing methods to adopt. This study is aimed at providing a hybrid approach based on fuzzy ISM technique and MICMAC analysis in order to design a model to help choose financing sources for Iranian industrial enterprises through overcoming the restrictions of decision-making process. To this end, the fuzzy ISM technique has been first employed to specify the interrelationships between the indicators as well as modeling their hierarchical structure; subsequently, by means of MICMAC analysis, the dominant indicators involved in the financing process have been classified in one of the four clusters based on their Driving power and Dependence. The results indicate that the index of “government fiscal policies” has the highest effect on other indicators of the system and it is a basic criterion for making fundamental decisions to choose the financing sources of Iranian industrial enterprises. Hence, in their management decisions, decision makers should pay attention to the perspective of government fiscal policies before considering any other indicators.

Keywords

• financing
• industrial enterprise
• fuzzy interpretive structural modeling
• fuzzy variables