A Technology Valuation Model Using Quantitative Patent Analysis: A Case Study of Technology Transfer in Big Data Marketing

被引：28

作者：

Jun, Sunghae ^{[1
]}

Park, Sangsung ^{[2
]}

Jang, Dongsik ^{[3
]}

机构：

[1] Cheongju Univ, Dept Stat, Cheongju, South Korea

[2] Korea Univ, Dept Intellectual Property, Seoul 136701, South Korea

[3] Korea Univ, Sch Ind Management Engn, Seoul 136701, South Korea

来源：

EMERGING MARKETS FINANCE AND TRADE | 2015年 / 51卷 / 05期

关键词：

big data marketing; patent analysis; social network analysis; technology clustering; technology transfer; technology valuation; SOCIAL NETWORK ANALYSIS;

D O I：

10.1080/1540496X.2015.1061387

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

Technology valuation (TV) is an important issue in management of technology (MOT). We use TV results for technology transfer, research and development (R&D) planning, and technology marketing. Diverse TV studies have been applied to MOT. Most of them were dependent on domain experts' knowledge, so their TV results could be subjective and unstable. To solve this problem, we propose an objective TV model using quantitative patent analysis. In this article, we consider text mining, social network analysis, technology clustering, and descriptive statistics in constructing our TV model. To verify the performance of our model, we perform a case study of technology transfer in big data marketing.

引用

页码：963 / 974

页数：12

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