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For a long time, the necessary funds of agricultural enterprises is fully funded by the government or mandatory financial loans due to the monopoly and the government acts, and which results in the research on the agricultural enterprise credit financing capacity (CFC) evaluation is lacking. The financing capacity is influenced by many factors, including the qualitative indicators and quantitative...
Zero inventory is the ideal state in the inventory management, especially to the innovative products, it can not only reduce costs but also promote the development of the new products. In order to forecast the enterprise inventory scientifically and accurately, according to the principle of artificial neural network, this paper proposes the BP neural network model for the forecast of the enterprise...
The mergers and acquisitions (M&A) performance measurement is an important tool to test the M&A effects, evaluate the validity of M&A decision-making, and which is an important part in the M&A management. But how to measure the M&A performance is a major issue that troubled many enterprises. This paper overcomes the shortcoming of tradition linear M&A measuring methods, proposes...
The agricultural information level is on the initial stage in Baoding City, so we should pay more attention to its construction. And on this basis we can find out the influencing factors and corresponding countermeasures. To evaluate the agricultural information degree scientifically and accurately, this paper proposes the evaluating model based on the adaptive neuro-fuzzy inference system (ANFIS)...
Research and development activities (R&D) as the core competitiveness in the high-tech enterprises play an extremely important role and far-reaching significance. If the high-tech enterprises want to realize the effective management to the R&D activities, and improve their success rate and economic benefits, it is necessary to conduct a scientific evaluation for the R&D performance. To...
The power projects face the uncertain external environment, they are complex of the projects themselves and the capabilities of the designers, erectors and operator are limited, which make the risk indicators of the power projects investment are extremely complicated, including financial risk, technology risk, production risk, market risk, management risk and environmental risk In order to evaluate...
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