Abstract
Innovation ability is the core competitiveness of science and technology enterprises. Regular monitoring and evaluation of enterprise innovation capabilities can help management departments accurately grasp the enterprise’s research and development (R&D) and market expansion capabilities, and help enterprises understand their own development potential. Referring to relevant national science and technology innovation enterprise evaluation standards, an innovation index evaluation system was established for science and technology innovation enterprises. In this paper, the innovation capability of science and technology enterprises was modeled and evaluated from the point of view of medical device companies. It made use of fuzzy comprehensive evaluation on enterprise innovation capability, used relatively objective entropy method to determine weight, and applied weighted geometric mean method to further optimize the weight value of wide-ranging data. Thus, it ensured the scientificity and stability of the weight value. In order to verify the rationality and correntness of our model, 218 representative science and technology enterprises in the medical machinery industry were selected as evaluation samples. Based on entropy method, their respective index weights were determined, while their innovation capabilities in the industry were evaluated comprehensively.
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This research was supported in part by the National Key R&D Program of China under Grant No. 2020YFB1707700, and the Fundamental Research Funds for the Central Universities under Grant No.19D111201.
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Shao, W., Feng, X., Zhu, M., Tao, R., Lv, Y., Shi, Y. (2021). Fuzzy Evaluation System for Innovation Ability of Science and Technology Enterprises. In: Uden, L., Ting, IH., Wang, K. (eds) Knowledge Management in Organizations. KMO 2021. Communications in Computer and Information Science, vol 1438. Springer, Cham. https://doi.org/10.1007/978-3-030-81635-3_13
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