Efficiency Evaluation of R&D and Transformation Functional Platforms Based on TOPSIS Model for Efficient Identification of Patent Transformation Risk

Abstract:

Based on the idea of ??TOPSIS （Technique for Order Preference by Similarity to Ideal Solution）， this research builds a multi-objective programming model to solve the optimal combination weights. It conducts an empirical analysis on the output of 198 patents on 18 R&D and transformation functional platforms in Shanghai， and finds that， the combination empowering model constructed in this study has a high identification capability of patent transformation risk （Z=5.546）， which can determine the actual R&D efficiency of the platform more scientifically. Research innovations are manifested in two aspects： The multi-objective nonlinear programming model is constructed by positive and negative ideal points to carry out combination weighting， which avoids the disadvantages of the existing research， such as a large number of overlapping evaluation scores of patent failure conversion and successful transformation， and low distinguishing ability of the two types of transformation； Through the test of whether the efficiency score of failed transformation is significantly less than the median of the efficiency score of successful conversion， the rationality of efficiency evaluation model is verified， and the defect that existing research neglects to verify the rationality of platform patent conversion efficiency measurement model is avoided.