Design financing model Small and Medium Enterprises (SMEs) with (DANP) approch

The purpose of this paper is to design small and medium-sized enterprises (SMEs) financing model. The present research is distinct from other papers published on SMEs financing in that it identifies financing criteria using fuzzy screening (FC), considers the relations, and weighs these criteria using Decision Making Trial and Evaluation Laboratory model based on Analytic Network Process (DANP). Statistical population and sample included 23 senior experts of SMEs industries, senior managers of banks, and university professors familiar with the concepts of SMEs financing. The results indicated that 8 dimensions and 20 criteria were identified using FC and expert opinions. Moreover, the results of DANP method showed that attracting new members is the most important criterion of SMEs financing, and loan rate from procuration and proprietary sources of banks is ranked the second. The other criteria were also weighed and ranked. Considering the causal relationships of criteria showed that revaluation of assets is the most effective criterion, and bank loan growth rate is the most affected criterion in SMEs financing. The research findings can enhance decision making and decision taking in financial performance improvement, and experts can be provided with optimal financing practices so as to develop the economy of Iran and growth these enterprises.