Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이윤선 | - |
dc.date.accessioned | 2018-12-19T00:44:30Z | - |
dc.date.available | 2018-12-19T00:44:30Z | - |
dc.date.issued | 2018-02 | - |
dc.identifier.citation | AUTOMATION IN CONSTRUCTION, v. 87, Page. 215-224 | en_US |
dc.identifier.issn | 0926-5805 | - |
dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S0926580517301267 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/80930 | - |
dc.description.abstract | Building information modeling (BIM) creates new business value and innovation in the construction engineering industry. This study identifies BIM technology structure and the characteristics of knowledge flow through a patent citation network. A technology patent database was collected with backward and forward citation patents currently registered in the US Patents and Trademark Office and identified by the Cooperative Patent Classification. Technology citation networks interact and follow the power law distribution. The analysis of individual patent characteristics and intermediaries revealed digital data processing and telemetry systems as core technology fields stimulating innovative BIM technology. This study overcomes the limitations of previous methods of technology forecasting that have depended on expert opinion or peer review by performing a patent big data analysis to ascertain the domain of the BIM industry. This approach could soon be applied to RD strategy planning and competition in business and the development of cutting-edge technology. | en_US |
dc.description.sponsorship | This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF), funded by the Ministry of Education, Science, and Technology (No. NRF-2012R1A2A2A04046958). | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | ELSEVIER SCIENCE BV | en_US |
dc.subject | Building information modeling (BIM) | en_US |
dc.subject | Cooperative patent classification (CPC) | en_US |
dc.subject | Patent analysis | en_US |
dc.subject | Social network analysis (SNA) | en_US |
dc.title | The structure and knowledge flow of building information modeling based on patent citation network analysis | en_US |
dc.type | Article | en_US |
dc.relation.volume | 87 | - |
dc.identifier.doi | 10.1016/j.autcon.2017.12.023 | - |
dc.relation.page | 215-224 | - |
dc.relation.journal | AUTOMATION IN CONSTRUCTION | - |
dc.contributor.googleauthor | Park, Yoo-Na | - |
dc.contributor.googleauthor | Lee, Yoon-Sun | - |
dc.contributor.googleauthor | Kim, Jae-Jun | - |
dc.contributor.googleauthor | Lee, Tai Sik | - |
dc.relation.code | 2018004618 | - |
dc.sector.campus | E | - |
dc.sector.daehak | RESEARCH INSTITUTE[E] | - |
dc.sector.department | RESEARCH INSTITUTE OF ENGINEERING & TECHNOLOGY | - |
dc.identifier.pid | yoonsunlee | - |
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