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

Sunghae Jun; Sangsung Park; Dongsik Jang

doi:10.1080/1540496X.2015.1061387

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

Sunghae Jun, Sangsung Park, Dongsik Jang

School of Industrial Management Engineering

Research output: Contribution to journal › Article › peer-review

24 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	963-974
Number of pages	12
Journal	Emerging Markets Finance and Trade
Volume	51
Issue number	5
DOIs	https://doi.org/10.1080/1540496X.2015.1061387
Publication status	Published - 2015 Sept 3

Keywords

big data marketing
patent analysis
social network analysis
technology clustering
technology transfer
technology valuation

ASJC Scopus subject areas

Finance
Economics, Econometrics and Finance(all)

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10.1080/1540496X.2015.1061387

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abstract = "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.",

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AB - 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.

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

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Keywords

ASJC Scopus subject areas

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