A decline in watersheds or their uneven distribution can affect social relationships among the residentsin watershed areas and lead to their conflicts. Due to a lack of water in Doroudzan watershed as a crisis, it seems that social relationships and communication patterns among the residents will be adversely affected. The aim of this research is to manage conflicts over the water resources in Doroudzan watershedwith a focus on social relations and to determine the strengths and weaknesses of the social relation networks. In this regard, 260 local stakeholders of the water resources in the irrigated villages in Doroudzandam downstream were selected as the statistical population using Morgan table. The required data werecollected through questionnaires, and the cooperation networks among the people were investigated inorder to solve the problem of water shortage. Based on the results of this research, trust and cooperationties were the key factors identified. They are known as social power, key factors in decision makingand better performance of co-management, and a resolution to water conflicts. Also, according to theresults of Kruskal Wallis statistical test, there is a significant difference between the social status of thepeople and the approaches adopted in conflict management of the water resources in the studied area.

Although agriculture has a major role in economy, in general, and employment opportunities for unemployed population, in particular, limited ability of individuals to recognize entrepreneurialopportunities in agriculture has reduced the share ofagriculture in employment. Therefore, the enhancement of opportunityrecognition skills among individuals in the agriculturesector is believed to solve unemployment challenges. Socialcapital is a rich source of information that permits the individualsto identify different combinations of the means-ends in thecreation of new products or services for a particular market. Thus, this study sought to explore the role of social capitalcomponents in agricultural entrepreneurial opportunity recognitionin Kermanshah province. The statistical population of this studyconsisted of all agricultural entrepreneurs in Kermanshahprovince (N=136), 102 of them were selected as the sample ofthe study based on Krejcie and Morgan’ s sampling table andthe use of a proportional stratified sampling method. The maininstrument in this study was a questionnaire whose validity wasconfirmed by a panel of experts; its average variance wasextracted, and its discriminant validity and reliability coefficientwas established by using a Cronbach's alpha as well as thecomposite reliability index. Data were analyzed by SPSSV23and Smart PLS3 softwares. The result of the Structural EquationModeling (SEM) revealed that the social capital components(strong ties and weak ties) were the main predictors of opportunityrecognition among agricultural entrepreneurs in Kermanshahprovince. Findings of this study carry important implicationsfor agricultural policy makers and educators aiming to fostergreater inclusion and cohesion, and to increase transparencyand accountability, in order to develop the recognition and exploitationof entrepreneurial opportunities in the process ofpromoting agricultural entrepreneurship.