A Model for Crowdsourcing Science-based Companies in banks

There is a potential for crowdsourcing in different fields. rowdsourcing has been built on the basis of general intelligence and it is able to collect data and also reduce time and cost.crowdsourcing is possible only through IT technology and requires active and ongoing participation, stakeholders’ interaction and transparent feedback. Therefore, this research aims to propose a model for crowdsourcing science-based companies’ in banks.

Considering the method of data collecting and data required for analysis, the present study is a combination of quantitative and qualitative research, in other word, mixed research. It is applied In terms of objective type, samples are collected in descriptive method and it is a survey research in terms of data collection.

findings show that the contributing factors of crowdsourcing directly explain 88.6% of the changes related to the sources of crowdsourcing, 91.5% of the changes related to crowdsourcing phenomenon and 96% of the changes related to the accelerating or slowing factors..

According to the results of the research, the effectiveness of all dimensional components is confirmed. The component of external tissue factors has the highest effect on other factors.Also, factors such as smart malking financial resources, relation factors and psychological and motivational factors have the greatest effect.