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

Sunghae Jun · Sangsung Park · Dong‐Sik Jang

45 citations0/0 files storedEmerging Markets Finance and Trade

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Intellectual Property and Patents scientometrics and bibliometrics research Technology Assessment and Management

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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References

2008Text Mining Infrastructure in R 2012Technology forecasting using matrix map and patent clustering 1980International Patent Classification 2007Patent searching: tools & techniques

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