Georgia Southern University Digital Commons@Georgia Southern Electronic Theses and Dissertations Graduate Studies, Jack N. Averitt College of Summer 2018 Building Information Modeling (BIM) Impact on Construction Performance David D. John Follow this and additional works at: https://digitalcommons.georgiasouthern.edu/etd Part of the Architectural Engineering Commons, Civil Engineering Commons, Construction Engineering Commons, and the Construction Engineering and Management Commons Recommended Citation John, D D. (2018). Building Information Modeling (BIM) Impact on Construction Performance. Master’s thesis, Georgia Southern University, Statesboro, Georgia. This thesis (open access) is brought to you for free and open access by the Graduate Studies, Jack N. Averitt College of at Digital Commons@Georgia Southern. It has been accepted for inclusion in Electronic Theses and Dissertations by an authorized administrator of Digital Commons@Georgia Southern. For more information, please contact [email protected]. BUILDING INFORMATION MODELING (BIM) IMPACT ON CONSTRUCTION PERFORMANCE by DAVID DYLAN JOHN (Under the Direction of Yunfeng (Cindy) Chen) 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. INDEX WORDS: Building Information Modeling, BIM, Performance, Productivity, Construction, CKPI, BIM-PSR BUILDING INFORMATION MODELING (BIM) IMPACT ON CONSTRUCTION PERFORMANCE by DAVID DYLAN JOHN B.S., Georgia Southern University, 2016 A Thesis Submitted to the Graduate Faculty of Georgia Southern University in Partial Fulfillment of the Requirements for the Degree MASTER OF SCIENCE STATESBORO, GEORGIA © 2018 DAVID DYLAN JOHN All Rights Reserved 1 BUILDING INFORMATION MODELING (BIM) IMPACT ON CONSTRUCTION PERFORMANCE by DAVID DYLAN JOHN Major Professor: Yunfeng (Cindy) Chen Committee: Francisco Cubas Suazo Clinton D. Martin Electronic Version Approved: July 2018 2 DEDICATION To I dedicate this work to my Father (Dharshan John), a champion and role-model who sacrificed so much to ensure that I could pursue my Academic and professional dreams here in the United States of America. My Mother (Winifred John), who prayed each day for the favor of God to go with me and I know looks down upon me from heaven. And lastly, to all students who feel that they may not have within them the ability to persevere and complete a college degree, I dedicate this work to encourage you to stay focused till the end. 3 ACKNOWLEDGMENTS The completion of this thesis was accomplished with the help and support of many people. I would firstly like to thank God for his guidance and divine direction through my entire Academic career. I do not think I could have accomplished anything without my amazing thesis instructor Dr. Yunfeng (Cindy) Chen. Her support, direction and guidance was critical to my progress towards the successful completion of this thesis. I also wish to thank Dr. Marcel Maghiar for introducing me to undergraduate research and encouraging me to develop an interest for graduate study. I am very thankful to the members of my thesis committee, Dr. Francisco Cubas Suazo and Dr. Clinton D. Martin for their constructive and positive feedback. I would like to acknowledge Dr. Patrice Jackson (My dearest Momma Dean) for her motivation and encouragement to balance both my Academic and Student Government work. Her prayers and support were critical to keep me on course and keep me motivated as I traveled towards the completion of my masters’ degree and thesis. I am appreciative to the many construction professionals and Academics who have mentored me along this journey and took their valuable time to add perspective to my study. I also appreciate the support provided by my dear friend and colleague Jyoti Bikash Das in identifying and interpreting certain technical components for my research and study. A big thank you to my Girlfriend Jhena Pennyman, for her patience and support throughout the development of my thesis. Finally, I am very grateful for family and friends who showed kindness and patience with my odd work hours and schedules and still supported me in every way possible. The sacrifice, help and support of my family and friends have been my biggest strength during tough times in life and I cannot thank them enough for helping me cross the finish line with my master’s thesis. 4 TABLE OF CONTENTS ACKNOWLEDGMENTS .............................................................................................................. 3 LIST OF TABLES .......................................................................................................................... 6 LIST OF FIGURES ........................................................................................................................ 8 CHAPTER 1 ................................................................................................................................... 9 INTRODUCTION....................................................................................................................... 9 1.1 Purpose of the Study ............................................................................................................. 9 1.2 Research Questions ............................................................................................................. 10 1.3 Scope of the Study .............................................................................................................. 10 1.4 Significance ......................................................................................................................... 11 1.5 Assumptions ........................................................................................................................ 11 1.6 Limitations .......................................................................................................................... 12 CHAPTER 2 ................................................................................................................................. 13 LITERATURE REVIEW .......................................................................................................... 13 2.1 Building Information Modeling (BIM) ............................................................................... 13 2.2 Performance / Productivity ................................................................................................. 16 2.3 Relationship between BIM and Productivity/ Construction Performance .......................... 20 CHAPTER 3 ................................................................................................................................. 26 METHODOLOGY .................................................................................................................... 26 3.1 Introduction ......................................................................................................................... 26 3.2 Summary of Procedure ........................................................................................................ 27 3.3 Developing a BIMM matrix ................................................................................................ 27 3.4 Developing a Productivity/ Construction Performance matrix ........................................... 30 3.5 Data Collection .................................................................................................................... 34 CHAPTER 4 ................................................................................................................................. 36 DATA ANALYSIS ................................................................................................................... 36 4.1 Analysis of Construction Graphics Course Data ................................................................ 36 4.2 Analysis of Qualitative Interview Data ............................................................................... 37 4.3 Analysis of Quantitative Survey Data: All categories ........................................................ 48 4.4 Analysis of Quantitative Survey Data: Academic Participants ..........................................