| Title |
Analysis of Key Factors affecting BIM performance using fsQCA |
| Authors |
Park, Jun-Ho ; Lee, Seul-Ki ; Yu, Jung-Ho |
| DOI |
http://dx.doi.org/10.5659/JAIK_PD.2015.31.4.29 |
| Keywords |
Building Information Modeling ; fuzzy-set Qualitative Comparative Analysis(fsQCA) ; BIM performance |
| Abstract |
Recently, considerable research has been done to look at the efficiency and performance of BIM, which has appeared as a new paradigm for construction design. BIM can manage a project throughout the whole construction process. The Korean government has made it a policy to implement BIM in public construction projects that cost over 50 billion won. In 2016, all public construction projects will have to implement BIM. Additionally, the construction industry in Korea has gained interest and made investments in BIM, and policies are being implemented such that BIM-adoption is inevitable. However, the strategies taken to implement BIM are insufficient and depend on visualization thru BIM, rather than information management. As such, this thesis analyzed what factors affect BIM use and causality for each variable. Although one factor affecting use and BIM performance might not independently affect the ultimate results, many factors may come together to intricately affect use and BIM performance. For this reason, we utilized a fuzzy-set qualitative comparative analysis (fsQCA) approach that can analyze complex casual factors and various effects on results. |