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Title: The relationship between BIM implementation drivers and key performance indicators of construction productivity : a PLS SEM approach
Authors: Hayek, Rami Nehme El
Advisors: Charif, Husni 
Keywords: BIM Drivers, BIM Implementation, Construction productivity
Subjects: Building information modeling
Construction management
Structural equation modeling--Data processing
University of Balamand--Dissertations
Dissertations, Academic
Issue Date: 2022
Introduction: The construction industry is swiftly evolving and amongst the major changes occurring in the world is the industrial revolution 4.0 or automation. BIM (Building Information Modeling) plays a substantial role in the upcoming paradigm shift where various aspects and properties of the construction projects are analyzed digitally, giving rise to construction productivity abilities that are quite arduous to achieve with traditional methods. However, Adopting BIM could be quite expensive and time consuming.
Objective: The purpose of this study is to investigate the relationship between BIM adoption drivers and construction productivity Key Performance Indicators associated with BIM implementation.
Methods: After a thorough literature review, a conceptual survey was formulated and distributed to BIM experts coming from multiple countries and sectors and in the construction industry. This paper adopts partial least squares structural equation modeling as the data analysis method using SmartPLS to come up with parameters shaping the link between the constructs.
Results: The most influential BIM implementation drivers’ group on construction productivity is not the construction related drivers but the drivers associated with Process-digitalization and economics.
Conclusion: Construction companies aiming to adopt BIM methods should opt to use the BIM software and programs that are related to improving the with Process-digitalization and economics in the first place. Further research is required to evaluate the link between various BIM programs and or plug ins to BIM implementation drivers.
Includes bibliographical references (p. 65-100)
Rights: This object is protected by copyright, and is made available here for research and educational purposes. Permission to reuse, publish, or reproduce the object beyond the personal and educational use exceptions must be obtained from the copyright holder
Ezproxy URL: Link to full text
Type: Thesis
Appears in Collections:UOB Theses and Projects

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