Research on the Graded Classification Management System Based on Multi-Dimensional Patent Value Evaluation
Year: 2024
Type: conference-paper
Abstract: Based on patent data from the State Grid Information & Telecommunication Group, this study proposes the SGScore model. The model evaluates patents from multiple dimensions, including technical fields, legal status, historical transformation, patent citations, and patentee attributes, integrating a patent scoring rule to construct a comprehensive "4+1+N" evaluation framework. Through data cleaning and statistical analysis, the study utilizes the model to quantitatively assess patent value and explores graded classification management of patents. Results show that the SGScore model accurately identifies high-value patents, optimizes corporate patent resource allocation, and provides scientific support for technological planning and market expansion. This research offers a theoretical foundation and practical tools for refined management of corporate patent assets, advancing the development of patent value evaluation methods.
Authors: Yuangeng Zhu, Wei Zhang, Yukai Liu
Institution: State Grid Corporation of China (China)
Language: English
Subfield: Management of Technology and Innovation
Domain: Social Sciences
Open Access status: gold
OpenAlex ID: W4409096471