Providing a Model for Financing Science-Based Companies by Crowdsourcing in the Agricultural Bank

Field: In organizational arena, outsourcing processes and creating company networks considering new period of globalization are outdating. In recent framework, some mechanisms like crowdsourcing are defined as outsourcing to crowds, getting, managing, or utilizing what is called ‘massive capital’ are considered as the ability of large number of people in relation to organization and responses to recent changes. This research aims to propose a model for crowdsourcing in Keshavarzi Bank with science-based companies’ centrality. this research is qualitative which is done by data-based method using precise interviews with experts to propose a model for crowdsourcing, the sampling is snowball and for analyzing the qualitative data, Max Kiva Software has been used. Analyzing the qualitative data is done according to three-stage Strauss and Corbin coding approach and the results show that major components for crowdsourcing in Keshavarzi Bank with science –based companies centrality including crowd sourcing factors( structural factors, relation factors) crowdsourcing phenomenon(cognitive factors making smart organizational process, making smart financial resources, making smart human resources, informational smart making), accelerating or slowing crowdsourcing(outside issues and costumers), the groundwork factors of crowdsourcing( psychological and emotive factors and inter organizational factors), procedures for extending crowdsourcing (designing unified entrepreneurial human resource management system, designing protective system for spiritual and mental resources, social accountability, designing value-creating system) and the results of crowdsourcing (individual, organizational, social level)