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16 March 2023 Evaluation of enterprise's innovation capability with data driven approach
Lingling Tang, Ji He, Xiaochen Zhang
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Proceedings Volume 12593, Second Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum (AIBDF 2022); 1259304 (2023) https://doi.org/10.1117/12.2671671
Event: 2nd Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum (AIBDF 2022), 2022, Guangzhou, China
Abstract
To solve the quantitative problem of enterprise innovation capability, a data driven quantitative method of enterprise innovation capability is proposed. Firstly, it analyzes and summarizes seven factors which affect the innovation ability of enterprises; Secondly, the enterprise is adaptively divided into different data clusters by deep clustering method; Thirdly, a Gaussian mixture model is constructed to quantify the innovation capability of the evaluated enterprise. The proposed method adopts data mining technology and can provide reference for enterprise development.
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Lingling Tang, Ji He, and Xiaochen Zhang "Evaluation of enterprise's innovation capability with data driven approach", Proc. SPIE 12593, Second Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum (AIBDF 2022), 1259304 (16 March 2023); https://doi.org/10.1117/12.2671671
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KEYWORDS
Organization management
Environmental management
Analytical research
Decision making
Factor analysis
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