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Building Information Modeling (BIM) Impact on Construction Performance

By David D John

Abstract

This study is designed to address the need for having a measure for Construction Performance on BIM-assisted construction projects. Through this study a new Construction Key Performance Indicator (CKPI) matrix is identified and created by the author. The CKPI could be used to assess BIM-assisted projects. Utilizing a sequential mixed methodology approach, academic and practitioner perspectives are assessed. A qualitative content analysis and quantitative descriptive analysis based on demographics are conducted to establish a better understanding of BIM and Construction Performance. The academic perspective is used to assess the relevance of BIMM and CKPI indicators, and the practitioner perspective is used to assess the extent to which BIM addresses the indicators. The key contributions of this study include the creation of the Construction Key Performance Indicator (CKPI) matrix and a preliminary recommendation for the creation of the BIM – Project Success Ratio (BIM-PSR) benchmark. The findings and recommendations of this study could be used by companies to help assess their current BIM adoption and identify if and how BIM should be adopted. The findings also identify existing areas of BIM infrastructure that need improvement for a more positive impact on construction performance. Academics could use the findings and recommendations to better structure courses for students and future research in BIM’s impact on Construction Performance

Topics: Building Information Modeling, BIM, Construction, Performance, CKPI, BIM-PSR, Architectural Engineering, Civil Engineering, Construction Engineering, Construction Engineering and Management
Publisher: Digital Commons@Georgia Southern
Year: 2018
OAI identifier: oai:digitalcommons.georgiasouthern.edu:etd-2937

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