The structure and knowledge flow of building information modeling based on patent citation network analysis

Yoo Na Park, Yoon Sun Lee, Jae Jun Kim, Tai Sik Lee

Research output: Contribution to journalArticle

7 Scopus citations

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 R&D strategy planning and competition in business and the development of cutting-edge technology.

Original languageEnglish
Pages (from-to)215-224
Number of pages10
JournalAutomation in Construction
Volume87
DOIs
StatePublished - 2018 Mar

Keywords

  • Building information modeling (BIM)
  • Cooperative patent classification (CPC)
  • Patent analysis
  • Social network analysis (SNA)

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