Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 박현석 | - |
dc.date.accessioned | 2018-03-27T07:04:31Z | - |
dc.date.available | 2018-03-27T07:04:31Z | - |
dc.date.issued | 2016-04 | - |
dc.identifier.citation | TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, v. 105, Page. 94-104 | en_US |
dc.identifier.issn | 0040-1625 | - |
dc.identifier.issn | 1873-5509 | - |
dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S0040162516000123?via%3Dihub | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/53095 | - |
dc.description.abstract | Identifying new product opportunities must be a prerequisite for a firm's sustainable growth since it can help create new market segments. In this regard, a number of studies have attempted to suggest systematic methods to discover new technological opportunities. However, from these methods, it is difficult to figure out which products can come into the market as a result of the technological opportunities. Moreover, they have tried to measure generic potential values without considering a specific target firm so it is hard to judge whether the discovered opportunities are technically feasible to the target firm. These problems tend to reduce the practicality of the discovered technological opportunities. Therefore, this paper proposes a systematic approach to identify potential product opportunities by reflecting the target firm's internal capabilities. The capabilities are inherently unobservable so we need to figure out substitutes for the firm's capabilities. The existing products belonging to a firm can be generally a basis for developing new products. The firm is already good at dealing with the existing products so we consider the firm's existing product portfolios its internal capabilities. We first extract product information from patent database using text mining technique, and then generate product connection rules represented as directed pairs of products. Finally, we evaluate potential value of product opportunities taking into account a firm's internal capabilities. An empirical study is conducted to show the applicability of the presented approach using patents granted in the United States Patent and Trademark Office during 2009 and 2013. We expect that our approach can facilitate product-oriented RD by presenting a front-end model for new product development and deriving feasible product opportunities according to the target firm's internal capabilities. Moreover, the presented systematic approach can be a basis for an RD planning system that can help RD planners in performing product-oriented technology planning activities. (C) 2016 Elsevier Inc. All rights reserved. | en_US |
dc.description.sponsorship | This work was supported by the Pukyong National University Research Fund in 2013 (CD-2013-1342). This work was also supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (2014R1A1A1005317). This work was partially supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (No. 2015R1A1A1A05027889) and performed as a subproject of KISTI's project Establishment of Information Analysis Intelligence Systems funded by the Ministry of Science, ICT and Future Planning. | en_US |
dc.language.iso | en | en_US |
dc.publisher | ELSEVIER SCIENCE INC | en_US |
dc.subject | Product opportunity identification | en_US |
dc.subject | Internal capability | en_US |
dc.subject | Text mining | en_US |
dc.subject | Association rule mining | en_US |
dc.subject | Patent analysis | en_US |
dc.title | Product opportunity identification based on internal capabilities using text mining and association rule mining | en_US |
dc.type | Article | en_US |
dc.relation.volume | 105 | - |
dc.identifier.doi | 10.1016/j.techfore.2016.01.011 | - |
dc.relation.page | 94-104 | - |
dc.relation.journal | TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE | - |
dc.contributor.googleauthor | Seo, Wonchul | - |
dc.contributor.googleauthor | Yoon, Janghyeok | - |
dc.contributor.googleauthor | Park, Hyunseok | - |
dc.contributor.googleauthor | Coh, Byoung-youl | - |
dc.contributor.googleauthor | Lee, Jae-Min | - |
dc.contributor.googleauthor | Kwon, Oh-Jin | - |
dc.relation.code | 2016015221 | - |
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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