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A Technology Valuation Model Using Quantitative Patent Analysis: A Case Study of Technology Transfer in Big Data Marketing
- Authors
- Jun, Sunghae; Park, Sangsung; Jang, Dongsik
- Issue Date
- Sep-2015
- Publisher
- ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
- Keywords
- big data marketing; patent analysis; social network analysis; technology clustering; technology transfer; technology valuation
- Citation
- EMERGING MARKETS FINANCE AND TRADE, v.51, no.5, pp.963 - 974
- Indexed
- SSCI
SCOPUS
- Journal Title
- EMERGING MARKETS FINANCE AND TRADE
- Volume
- 51
- Number
- 5
- Start Page
- 963
- End Page
- 974
- ISSN
- 1540-496X
- 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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