Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 박현석 | - |
dc.date.accessioned | 2019-05-14T09:01:48Z | - |
dc.date.available | 2019-05-14T09:01:48Z | - |
dc.date.issued | 2019-02 | - |
dc.identifier.citation | TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, v. 139, Page. 144-154 | en_US |
dc.identifier.issn | 0040-1625 | - |
dc.identifier.issn | 1873-5509 | - |
dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S0040162518307650?via%3Dihub | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/104244 | - |
dc.description.abstract | This paper proposes a method to identify business diversification opportunities for a company. In particular, the method uses MA cases related to business diversifications to identify atypical diversification opportunities. The underlying idea of the method is that industrial sectors of companies acquired by acquiring companies having similar characteristics with the focal company can be business diversification directions for the company. Industrial sectors of companies are identified by using WC(Intemational Patent Classification)-ISIC(International Standard Industrial Classification) concordance, and we updated the previous concordance to reflect the recent technological and business environments. For verification of the method, we used a successful MA case related to business diversification and tested that the method can identify same industrial sector with the case as top priority. The results show that the method identified the same industrial sector as top ranking and other uncommon industrial sectors as recommended opportunities. | en_US |
dc.description.sponsorship | This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (No. 2017R1A2B4012431). | en_US |
dc.language.iso | en | en_US |
dc.publisher | ELSEVIER SCIENCE INC | en_US |
dc.subject | New business opportunity | en_US |
dc.subject | Company-industry network | en_US |
dc.subject | Updated IPC-ISIC concordance | en_US |
dc.subject | M&A data | en_US |
dc.title | Discovering business diversification opportunities using patent information and open innovation cases | en_US |
dc.type | Article | en_US |
dc.relation.volume | 139 | - |
dc.identifier.doi | 10.1016/j.techfore.2018.11.006 | - |
dc.relation.page | 144-154 | - |
dc.relation.journal | TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE | - |
dc.contributor.googleauthor | Mun, Changbae | - |
dc.contributor.googleauthor | Kim, Yongmin | - |
dc.contributor.googleauthor | Yoo, Donghyun | - |
dc.contributor.googleauthor | Yoon, Sejun | - |
dc.contributor.googleauthor | Hyun, Heesu | - |
dc.contributor.googleauthor | Raghavan, Nagarajan | - |
dc.contributor.googleauthor | Park, Hyunseok | - |
dc.relation.code | 2019005247 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF INFORMATION SYSTEMS | - |
dc.identifier.pid | hp | - |
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