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In this paper the authors describe the implementation of an ecologically inspired Digital Business Ecosystem (DBE) to promote and improve business collaboration by allowing Small and Medium sized Enterprises (SMEs) to find partners for interaction. Building on the analysis of how biologically-inspired computing is useful to represent business interactions and how small firms can benefit from this,...
Financing efficiency of high-tech small and medium-sized enterprises (SMEs) is studied in this article. The method of data envelopment analysis (DEA) is applied to the financing efficiency of enterprises which can result in more objective results. By application of the method in Beijing high-tech SMEs and data analysis the following four conclusions are made that efficiency of the financing of high-tech...
The aim of this study is to develop an intelligent financial early warning system model based on data mining for SMEs in Turkey. SMEs have made an important contribution to worldpsilas rapid economic growth and the fast industrialization process. SMEs play a major role in Turkish economy and the main issue of the SMEs is finance. Therefore, developing an intelligent financial early warning system...
Although it is practical and significant to analyze the financial risk of the small and medium enterprise (SMEs), most scholars do research on unlisted small and medium enterprisespsila financial situation only with qualitative analysis methods, because it is difficult to get the financial data of unlisted small and medium enterprises. In this paper, a new data acquisition idea is put forward. Through...
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