Using the interpretive structural modeling approach in presenting the agility model of agricultural mechanization development
Paper ID : 1187-NICAME1402
Authors:
najme tavakoli1, Mohammad Sharifi *2, ASADOLLAH AKRAM3
1Department of Agricultural Machinery Engineering,, University of Tehran, Karaj, Iran
2University of Tehran
3Department of Agricultural Machinery Engineering
Abstract:
Today, despite the importance of the agricultural sector in economic development and social welfare in the country, having a traditional structure in business management has made this sector far from its main position. If we classify agricultural businesses from an economic point of view into two large categories, benefiting from economic, industrial and integrated production versus small and family-owned, it is expected that at least managers, entrepreneurs and hands Large business operators should use a scientific structure in managing and making decisions related to their business, and mechanization is one of the ways to transition from traditional agriculture to sustainable agriculture. Faced with limited resources in production and inputs, as well as the ever-increasing population, on the other hand, shows the place of mechanization more and more in the development of the country's food security, therefore, the agility of mechanization development is one of the main factors for the success and survival of the country's agricultural sector. In this research, after identifying the agility variables, the agility model was drawn with interpretive structural modeling and the types of variables were determined by MIC MAC analysis. The results of the research show that the existence of detailed planning is the cornerstone of the agility of mechanization development. This means that for the agility of the system, it should be started from this factor to provide the ground for the agility of higher level factors and this procedure should continue until reaching the motivation for domestic producers.
Keywords:
Mechanization development, interpretive structural modeling, MIC MAC analysis.
Status : Paper Accepted (Poster Presentation)