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Sustainability 2015, 7(12), 16175-16195; doi:10.3390/su71215809

A Predictive Model of Technology Transfer Using Patent Analysis

Department of Industrial Management Engineering, Korea University, Seoul 136-701, Korea
Department of Statistics, Cheongju University, Chungbuk 363-764, Korea
Graduate School of Management of Technology, Korea University, Seoul 136-701, Korea
Author to whom correspondence should be addressed.
Academic Editor: Giuseppe Ioppolo
Received: 16 October 2015 / Revised: 24 November 2015 / Accepted: 1 December 2015 / Published: 4 December 2015
(This article belongs to the Section Economic, Business and Management Aspects of Sustainability)


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. View Full-Text
Keywords: technology transfer; predictive model; patent analysis; sustainable management of technology; statistics; machine learning algorithms technology transfer; predictive model; patent analysis; sustainable management of technology; statistics; machine learning algorithms

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Choi, J.; Jang, D.; Jun, S.; Park, S. A Predictive Model of Technology Transfer Using Patent Analysis. Sustainability 2015, 7, 16175-16195.

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