A Predictive Model of Technology Transfer Using Patent Analysis

Jaehyun Choi, Dongsik Jang, Sunghae Jun and Sangsung Park
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Jaehyun Choi: Department of Industrial Management Engineering, Korea University, Seoul 136-701, Korea
Dongsik Jang: Department of Industrial Management Engineering, Korea University, Seoul 136-701, Korea
Sunghae Jun: Department of Statistics, Cheongju University, Chungbuk 363-764, Korea
Sangsung Park: Graduate School of Management of Technology, Korea University, Seoul 136-701, Korea

Sustainability, 2015, vol. 7, issue 12, 1-21

Abstract: The rapid pace of technological advances creates many difficulties for R&D practitioners in analyzing emerging technologies. Patent information analysis is an effective tool in this situation. Conventional patent information analysis has focused on the extraction of vacant, promising, or core technologies and the monitoring of technological trends. From a technology management perspective, the ultimate purpose of R&D is technology commercialization. The core of technology commercialization is the technology transfer phase. Although a great number of patents are filed, publicized, and registered every year, many commercially relevant patents are filtered through registration processes that examine novelty, creativity, and industrial applicability. Despite the efforts of these selection processes, the number of patents being transferred is low when compared with total annual patent registrations. To deal with this problem, this study proposes a predictive model for technology transfer using patent analysis. In the predictive model, patent analysis is conducted to reveal the quantitative relations between technology transfer and a range of variables included in the patent data.

Keywords: technology transfer; predictive model; patent analysis; sustainable management of technology; statistics; machine learning algorithms (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (20)

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