Presenting the competitiveness model of industrial clusters and agricultural conversion industries of companies affiliated with agricultural cooperatives in Mazandaran province

In the most general sense, the word cluster refers to the spatial concentration of economic activity in particular lands. Industrial clusters are the aggregation of competing and competing industries in a region that interact in a networked manner through horizontal and vertical communications and strong and interconnected links. The purpose of this research is to model the factors affecting the competitiveness of industrial clusters. The research method used in this study design is a combination of qualitative and quantitative methods. Accordingly, the statistical population of this study consists of two parts: qualitative and quantitative. The qualification department comprises 10 experts in the field of industrial clusters as senior managers or marketing and sales managers with at least 5 years of useful work experience and a master's degree and above. The statistical population of the quantitative section includes all managers and administrative staff of Sari Agricultural Equipment Cluster. The number is 107. Then, effective factors were identified by using Maxqda qualitative software and open and axial coding and tested by PLS quantitative research model software. According to the qualitative results of the research, the factors affecting the competitiveness of industrial clusters and agricultural conversion industries are: network of supporting institutions and industries, social backgrounds, innovation facilitation, geographical focus, company structure and competition strategy. Also identified options for the core Agent and Support Industries network include public enterprise integration, supplier relationships, government linkage with research centers, banking contracts, tax adjustment mechanisms,