替代性技术识别是企业进行技术战略选择的基础。目前,对替代性技术识别的研究多集中于定性分析,很少采用定量方法,利用专利文献与技术的关联关系进行替代性技术识别的研究少之更少。笔者在总结了替代性技术特征的基础上,构建了替代性技术识别方法框架,从核心性和相似性两个视角,综合利用文本挖掘、德温特手工代码共现、应用功效矩阵等方法逐层递进式识别替代性技术。以基带芯片技术为研究对象,进行实际论证,验证了该方法的可行性。
The identification of alternative technologies is the basis for technology strategy choice of enterprise. Currently, the research on alternative technologies is mostly confined to qualitative studies and lacks an exact quantitative method, much less uses the method of patent analysis. After summarizing the characteristics of alternative technologies, this paper presents the identification framework from two aspects:core feature and similarity. It uses an integrated approach combining of text mining, co-occurrence of manual code and use&advantage matrix to identify the alternative technologies progressively. The empirical research on baseband chip technology proves the feasi-bility of the suggested approach.