足迹
集聚经济
相似性(几何)
计算机科学
技术变革
离群值
数据科学
集合(抽象数据类型)
宏
多样性(政治)
技术进化
经济地理学
地理
经济
人工智能
图像(数学)
社会学
考古
经济增长
程序设计语言
人类学
作者
Barak S. Aharonson,Melissa A. Schilling
出处
期刊:Research Policy
[Elsevier BV]
日期:2016-02-01
卷期号:45 (1): 81-96
被引量:124
标识
DOI:10.1016/j.respol.2015.08.001
摘要
We develop and apply a set of measures that enable a fine-grained characterization of technological capabilities based on the USPTO database. These measures can capture the distance between any two patents, and help to identify outlier patents. They also provide a rich characterization of a firm's technological footprint, including its depth and breadth. The measures also enable researchers to assess the technological overlap, similarity, and proximity of the technological footprints of two or more firms. At the level of the macro technology landscape, the measures can be used to explore such dynamics as technology agglomeration, knowledge spillovers, and technology landscape evolution. We show applications of each of the measures and compare the results obtained with those that would be obtained with previously existing measures of firm diversity, similarity and proximity, highlighting the advantages of the measures used here.
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