University of Tehran Iranian Journal of Agricultural Economics and Development Research 2008-4838 50 4 2019 12 22 Designing and selecting optimal scenario for outsourcing of tropical farming projects of Mostazafan Foundation of Islamic Revolution; emphasizing the empowerment of agricultural graduates Designing and selecting optimal scenario for outsourcing of tropical farming projects of Mostazafan Foundation of Islamic Revolution; emphasizing the empowerment of agricultural graduates 849 871 74347 10.22059/ijaedr.2019.265244.668654 FA Gholamhossein Hosseininia Associate Professor, Department of New Business, Faculty of Entrepreneurship, University of Tehran, Tehran, Iran 0000-0002-5746-6237 Mohammad Abbasi Institute for Management and Planning, Tehran, Iran Shapar Geravandi Assistant Professor and Member of Sicence, Department of Agricultural Extension and Education, Razi University, Kermanshah, Iran 0000-0003-0305-7400 Journal Article 2018 10 02 The Mostazafan Foundation is one of the institutions that, in recent years, try to outsourcing its projects to poverty alleviation and empowerment of lower income groups of society. Field experiments show that choosing an effective outsourcing method can guarantee sustainability of the project after their outsourcing. Therefore, this research tried to use grounded theory and hierarchical analysis method to design and select an optimal scenario for outsourcing the project of Foundation of Mostazafan to graduates of Kermanshah province. In this regard, 35 key experts in farming sector with practical experience were selected as qualitative participants of the research. Data were collected from April to February 2016. The data of the first step were analyzed using open, axial and selective coding methods. The data of the second step were analyzed using Expert Choice software. The results of the first step showed that planners and officials are faced with four different scenarios for assigning this project. In order to select the preferred scenario, 9 different quantitative and qualitative indicators were used. Multi-criteria decision analysis method showed that scenario getting private partner among the four considered scenarios was more preferable. The sensitivity analysis of the efficiency of this scenario indicates the high economic efficiency, sustainability and survival of the project after its assignment. The Mostazafan Foundation is one of the institutions that, in recent years, try to outsourcing its projects to poverty alleviation and empowerment of lower income groups of society. Field experiments show that choosing an effective outsourcing method can guarantee sustainability of the project after their outsourcing. Therefore, this research tried to use grounded theory and hierarchical analysis method to design and select an optimal scenario for outsourcing the project of Foundation of Mostazafan to graduates of Kermanshah province. In this regard, 35 key experts in farming sector with practical experience were selected as qualitative participants of the research. Data were collected from April to February 2016. The data of the first step were analyzed using open, axial and selective coding methods. The data of the second step were analyzed using Expert Choice software. The results of the first step showed that planners and officials are faced with four different scenarios for assigning this project. In order to select the preferred scenario, 9 different quantitative and qualitative indicators were used. Multi-criteria decision analysis method showed that scenario getting private partner among the four considered scenarios was more preferable. The sensitivity analysis of the efficiency of this scenario indicates the high economic efficiency, sustainability and survival of the project after its assignment. https://ijaedr.ut.ac.ir/article_74347_d805b6758ed06f65b516d0d960ad39d2.pdf