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dc.contributor.author박현석-
dc.date.accessioned2019-05-14T09:01:48Z-
dc.date.available2019-05-14T09:01:48Z-
dc.date.issued2019-02-
dc.identifier.citationTECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, v. 139, Page. 144-154en_US
dc.identifier.issn0040-1625-
dc.identifier.issn1873-5509-
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0040162518307650?via%3Dihub-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/104244-
dc.description.abstractThis 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.sponsorshipThis 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.isoenen_US
dc.publisherELSEVIER SCIENCE INCen_US
dc.subjectNew business opportunityen_US
dc.subjectCompany-industry networken_US
dc.subjectUpdated IPC-ISIC concordanceen_US
dc.subjectM&A dataen_US
dc.titleDiscovering business diversification opportunities using patent information and open innovation casesen_US
dc.typeArticleen_US
dc.relation.volume139-
dc.identifier.doi10.1016/j.techfore.2018.11.006-
dc.relation.page144-154-
dc.relation.journalTECHNOLOGICAL FORECASTING AND SOCIAL CHANGE-
dc.contributor.googleauthorMun, Changbae-
dc.contributor.googleauthorKim, Yongmin-
dc.contributor.googleauthorYoo, Donghyun-
dc.contributor.googleauthorYoon, Sejun-
dc.contributor.googleauthorHyun, Heesu-
dc.contributor.googleauthorRaghavan, Nagarajan-
dc.contributor.googleauthorPark, Hyunseok-
dc.relation.code2019005247-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDEPARTMENT OF INFORMATION SYSTEMS-
dc.identifier.pidhp-
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COLLEGE OF ENGINEERING[S](공과대학) > INFORMATION SYSTEMS(정보시스템학과) > Articles
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