Evaluating the performance of the garment industry with an export approach with Interpretive Structural modelling (ISM)

The garment industry is one of the important and flourishing industries in the country that seems to grow in the export market besides the internal market. It’s considerable that performance measurement is a vital tool for access to basic improvements and it’s important in management. Therefore this research sought to found important and influencer indicators in the garment industry and determine the relationship between these indicators and their preference for each other. For perform this investigation, 35 indicators, obtained from literature review, filtered using questionnaires and experts opinion and then 16 indicators were selected as basic indicators based on Fridman’s method. Using ISM, a meaningful relationship and the importance of indicators were extracted. Penetration power and dependence of indicators determined with the MICMAC analysis. The ISM model showed that the “quality of design”, “planning”, and “applied education with the aim of export increase” indicators have the most impact and they act such as the infrastructure for the model. Also “new product introduction”, “brand promotion”, “increase ordering level”, “marketing”, “effective presence in international markets” and “financial” indicators stand at the top level of the model and are influenced by other indicators. MICMAC analysis showed that “quality of design”,” quality of adaptation”,” planning”, and “applied education with the aim of export increase” have strong driving power but weak dependence power; As a result, these factors are driving in the garment industry and should be a priority for the organization.