Building Information Modeling�Empowering Construction Projects with End-to-End Life Cycle Management

The construction industry has been significantly transformed by the implementation of Building Information Modeling (BIM), which has facilitated extensive project management capabilities across the entire life cycle. Notwithstanding its advantages, there exist certain limitations that hinder its extensive implementation. This study aims to investigate the disparities related to the adoption of Building Information Modeling (BIM) by conducting a thorough analysis of factors such as data interoperability, standardization, collaboration, skill gaps, and resistance to change. The data were collected through a preliminary pilot survey and a primary questionnaire. The collected data were then subjected to analysis using two statistical techniques: Exploratory Factor Analysis (EFA) and Partial Least Squares Structural Equation Modeling (PLS-SEM). This study reveals noteworthy associations between the adoption of Building Information Modeling (BIM) and several crucial factors, including Continuous Integration (CI), Monitoring and Control (MC), Project Management (PM), Resolution and Performance (RP), Structural Management (SM), Sustainability Administration (SA), and Value Management (VM). This study provides valuable insights for professionals and policymakers, offering recommendations to enhance the implementation of Building Information Modeling (BIM) and advocating for additional research on complementary factors. Through the identification and subsequent resolution of recognized shortcomings, Building Information Modeling (BIM) can be employed in a proficient manner to augment collaboration, mitigate costs, optimize energy efficiency, and implement sustainable construction methodologies. The present study makes a substantial contribution to the progress of Building Information Modeling (BIM) adoption and the efficient management of construction project life cycles. © 2023 by the authors.