Date of Award
Civil and Environmental Engineering
A research study was conducted to investigate and understand factors influencing Return on Investment of Building Information Modeling (BIM).
Research data was collected from 182 industry professionals (design firms, contractors and owners) using a survey instrument. The research data were evaluated by examining frequency distributions and running statistical analyses including an analysis of variance with post hoc tests and a multiple linear regression analysis. Furthermore, a simulation study was conducted to infer conclusions about the larger population from which the repeated samples were taken. The research findings revealed that the factors contributing to Return on Investment of BIM implementation were: project type, project sector, project team members, project budget, project delivery systems, interoperability, and BIM maturity level.
Kulaksiz, Tugce, "Analysis Of Factors Influencing Return On Investment (roi) For Building Information Modeling (bim) Implementation" (2019). Wayne State University Dissertations. 2173.