基于关联规则和技术功效矩阵的企业技术创新机会发现和辅助决策方法

为助力科技型创新企业准确且快速地从外部捕获创新技术机会, 提出一种企业技术机会发现和辅助决策方法. 首先, 挖掘领域内的技术热点、技术重点和有潜力的技术作为领域技术创新机会. 然后, 通过关联规则分析领域技术机会和企业已有技术之间的相关性, 进一步结合技术掌握度和新颖度, 识别更适合企业的技术创新机会. 最后, 创新性地采用Sen-BERT语言模型和K-means聚类方法构建技术功效矩阵, 辅助企业从功能需求的角度进行技术创新决策. 以电动汽车领域为例验证了该方法的可行性.

Opportunity discovery in technological innovation for enterprises and assisted decision-making based on association rules and technology-efficiency matrix

The global individualized competitive environment poses a huge challenge to the technological innovation capabilities of enterprises. It is particularly important for technological innovation enterprises to accurately and quickly capture technological opportunities from the external environment. Aiming at the problems identified in discovering enterprise innovation opportunities, a method of enterprise technological innovation opportunity discovery and assisted decision-making is proposed. Firstly, the technical hotspots, technical priorities and potential technologies are categorized into field innovation opportunities. Then, it analyzes the correlation between field technology innovation opportunity and the existing technology of the enterprises through association rules, and further combines the technological mastery and novelty to identify technology opportunities that are more suitable for the target enterprises. Finally, Sen-BERT language model and K-means clustering method are used to construct a technology-efficiency matrix, in order to assist enterprises in making innovation decisions based on functional requirements. The feasibility of this method is verified by conducting a case-study in the field of electric vehicles.