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The Syrian Refugee Crisis in Germany has been lately a constant research topic in many fields; politics, economics, cultural, social and safety aspects etc. popping up in all the news worldwide. Everybody is concerned about it and tackling it from a different point of view. Some believe that it a mutual benefit to both the country (Germany) and the refugees. As Germany benefits a lot form the cheap labor of migrant workers in the different industries. Specially the fast growing industries like the rural ones. Others fear that they will weaken the German culture and economy. And that they are burdens on the national people and will cause many problems.
In this paper two aspects of the challenges facing the Syrian refugees in Germany are discussed: the first is their integration and acculturation with the German society and the second is the challenges facing the refugees in entering the German labor market and case studies of Syrian entrepreneurs who developed their own family businesses in Germany are presented. The interviews were held with Syrian refugees in the state of Baden-Württemberg in 2015/2016 in Arabic language. The groups that were interviewed were in Villingen-Schwenningen and Stuttgart. An analysis of the cases presented along with the findings of the surveys and interviews are presented and finally some recommendations are suggested.
Crowdlending is a growing business model that originated from the new crowdfunding phenomenon. It consists of funding companies’ loans through joining money from many investors in exchange for regular payments. One important key value in this model is the speed of the credit approval and the investment choice. The upcoming crowdlending platforms facilitate their growth through the automation of those processes. This study explores the creation of a credit-scoring model for an entrepreneurial platform, in order to fulfill the necessity of quickly determining the risk and the characteristics of loan applications for SME companies. This study will also analyze the pricing loan strategy based on the risk of the operations. Finally, the thesis suggests a of the loans and concludes with a series of improvement measures for the model.