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Anticipating technology-driven industry convergence: evidence from large-scale patent analysis |
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| Authors: | Ohjin Kwon Yoonjung An Myeongjung Kim |
| Institution: | 1. Future Information Research Center, Korea Institute of Science and Technology Information, Seoul, Republic of Korea;2. Department of Industrial Engineering, Seoul National University, Seoul, Republic of Korea;3. School of Management Engineering, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea |
| Abstract: | ABSTRACTIndustry convergence has been the subject of many prior studies, yet most have focused on certain domains based on ex post evaluation. This study presents a systematic approach to anticipating technology-driven industry convergence using large-scale patent analysis covering all technology fields. Our approach includes patent co-classification analysis with the concordance between patent classes and industrial sectors to measure technological relations between industries; centrality and brokerage analysis to identify the specific roles of technology fields in industry convergence; and finally link prediction analysis to anticipate technology-driven industry convergence. A case study with the patents issued by the United States Patent and Trademark Office from 1976 to 2014 confirms that our approach provides a holistic and forward-looking perspective on technology-driven industry convergence. |
| Keywords: | Technology-driven industry convergence patent co-classification analysis centrality and brokerage analysis link prediction analysis |