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

^*Corresponding author for this work

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

41 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

Bibliographical note

Publisher Copyright:
Copyright © Taylor & Francis Group, LLC.

Keywords

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

ASJC Scopus subject areas

General Economics,Econometrics and Finance
Finance

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10.1080/1540496X.2015.1061387

Cite this

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

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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AU - Jang, Dongsik

PY - 2015/9/3

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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.

KW - big data marketing

KW - patent analysis

KW - social network analysis

KW - technology clustering

KW - technology transfer

KW - technology valuation

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

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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