Todays, social entrepreneurship is recognized as a way of effective and sustainable economic and social development. So, this concept needs more attention on the society and the country level. However, financing is a strategic issues that social entrepreneurs are facing in launching and managing social businesses. The aims of this study is to identify the ways of financing social entrepreneurship. Methodology of the study is survey approach and the purpose is an applied research. Data was gathered by researcher made questionnaire that validity are confirmed by experts and reliability was proved by Alpha. Statistical population, are executives and social entrepreneurs in Tehran city. The sample included 120 active social entrepreneurs. Data analysis is done by descriptive statistics and confirmative factor analysis. The results showed that grants, in come, investment, and government support are the most important role in social entrepreneurship financing.

Nowadays, the SOURCING problem has become more challenging for supply chain members. Dierent types of SOURCING for dierent market conditions are presented in the literature. In this paper, an option contract, as an ecient tool for SOURCING, is developed in a multi-period setting in which the price and demand follow two stochastic processes. The SOURCING decision is analyzed from a risk neutral and a risk averse decision-maker point of view. This paper applies the stochastic programming approach to model the presented option contract based on price and demand uncertainties. Next, using CVaR as a coherent risk measure, the eects of risk on SOURCING problem are studied. By numerical example, using the presented ecient frontier, the simulation results of our developed models show that the decision maker can make a trade-obetween risk and cost associated with the SOURCING problem. The paper also performs a sensitivity analysis in order to demonstrate the eects of change in cost parameters on the results of our option model.

In this paper, the issue of integrated supplier selection and inventory policy for a drug distribution company with multiple warehouses is examined. In this research, warehouses are faced with stochastic demand and inventory of their medicines is provided by one or more suppliers that are located in a given set of candidates with price, quality and characteristics of the disruption. In addition, warehouses may be able to supply their holdings from other stores due to the importance of the availability of drugs, in the absence of drugs. With this description, the subject of this research is an integrated multi SOURCING and lot sizing, with the consideration of the lateral transshipment between warehouses. The benefits of multi-SOURCING and the lateral transshipment between warehouses have been described in reducing the risk associated with potential demand and supply disruptions in the research literature, which has so far not been studied with little consideration in the discussion of the drug. In this research, a Sim-NSGA-II simulation optimization algorithm is presented to solve the problem, and the effect of various disruptions, lateral transshipment and multi-SOURCING on the system has been investigated.