Owner & Primary Publisher: University of Tehran; Journal of Rural Research 2008-7373 12 2 2021 08 23 Identifying Key Components on the Effectiveness of Sustainable Rural Employment Facilities in the Villages of Hamedan County Using Foresight Approach Identifying Key Components on the Effectiveness of Sustainable Rural Employment Facilities in the Villages of Hamedan County Using Foresight Approach 232 245 82301 10.22059/jrur.2021.321051.1631 FA Sayad Mahdi Hosseni MSc. Student, Department of Agricultural Extension and Education, Faculty of Agriculture, Bu-Ali Sina University, Hamedan, Iran. 0009-0001-0374-7973 Karim Nadery Mahdi Associate Professor, Department of Agricultural Extension and Education, Faculty of Agriculture, Bu-Ali Sina University, Hamedan, Iran. Journal Article 2021 03 25 The present research was a combination of documentary and survey methods, and its type based on future studies is analytical and normative. The sample size consists of twenty experts, specialists in agricultural banks, farmers, and officials in Hamedan province. These individuals were selected by snowball sampling method and purposeful method. In this study, first, the data were collected by the Delphi technique, and finally, thirty-three components that can make an efficient facility were recognized. In the second stage, for identifying efficient components, an interaction matrix is modeled. The questionnaire weighting was evaluated by using a comparative study of the relationship among the components, and indicated based on the numbers between zero and three. Thus, the number zero means no effect, number one means weak effect, number two means moderate effect, and number three means high effectiveness. Eventually, the letter P indicates the presence of the potential relationship between variables.  Finally, the results were analyzed by MIC-MAC software. The results showed twelve key components affecting the effectiveness of the facility. Some of them are: Manufacturers' efforts to reduce the level of production costs, identifying the existing capacities in the village and granting facilities to these groups, providing advice to the owners of production workshops to solve problems, establishing a system for registering capacities and job demand in that area to coordinate the supply of facilities commensurate with the needs of the community, the proportion of loans with the proposal proposed by the producers." The present research was a combination of documentary and survey methods, and its type based on future studies is analytical and normative. The sample size consists of twenty experts, specialists in agricultural banks, farmers, and officials in Hamedan province. These individuals were selected by snowball sampling method and purposeful method. In this study, first, the data were collected by the Delphi technique, and finally, thirty-three components that can make an efficient facility were recognized. In the second stage, for identifying efficient components, an interaction matrix is modeled. The questionnaire weighting was evaluated by using a comparative study of the relationship among the components, and indicated based on the numbers between zero and three. Thus, the number zero means no effect, number one means weak effect, number two means moderate effect, and number three means high effectiveness. Eventually, the letter P indicates the presence of the potential relationship between variables.  Finally, the results were analyzed by MIC-MAC software. The results showed twelve key components affecting the effectiveness of the facility. Some of them are: Manufacturers' efforts to reduce the level of production costs, identifying the existing capacities in the village and granting facilities to these groups, providing advice to the owners of production workshops to solve problems, establishing a system for registering capacities and job demand in that area to coordinate the supply of facilities commensurate with the needs of the community, the proportion of loans with the proposal proposed by the producers." https://jrur.ut.ac.ir/article_82301_acec2234e1fbf31620dbbd94dbc7962e.pdf