Ensemble Modeling for Sustainable Technology Transfer

Junseok Lee, Ji-Ho Kang, Sunghae Jun, Hyunwoong Lim, Dongsik Jang and Sangsung Park
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Junseok Lee: Department of Industrial Management Engineering, Korea University, Seoul 02841, Korea
Ji-Ho Kang: Department of Industrial Management Engineering, Korea University, Seoul 02841, Korea
Sunghae Jun: Department of Big Data and Statistics, Cheongju University, Chungbuk 28503, Korea
Hyunwoong Lim: Department of Industrial Management Engineering, Korea University, Seoul 02841, Korea
Dongsik Jang: Department of Industrial Management Engineering, Korea University, Seoul 02841, Korea
Sangsung Park: Graduate School of Management of Technology, Korea University, Seoul 02841, Korea

Sustainability, 2018, vol. 10, issue 7, 1-15

Abstract: These days, technological advances are being made through technological conversion. Following this trend, companies need to adapt and secure their own sustainable technological strategies. Technology transfer is one such strategy. This method is especially effective in coping with recent technological developments. In addition, universities and research institutes are able to secure new research opportunities through technology transfer. The aim of our study is to provide a technology transfer prediction model for the sustainable growth of companies. In the proposed method, we first collected patent data from a Korean patent information service provider. Next, we used latent Dirichlet allocation, which is a topic modeling method used to identify the technical field of the collected patents. Quantitative indicators on the patent data were also extracted. Finally, we used the variables that we obtained to create a technology transfer prediction model using the AdaBoost algorithm. The model was found to have sufficient classification performance. It is expected that the proposed model will enable universities and research institutes to secure new technology development opportunities more efficiently. In addition, companies using this model can maintain sustainable growth in line, coping with the changing pace of society.

Keywords: technology transfer; prediction model; latent Dirichlet allocation; technology topic; ensemble model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)

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