BUILDING INFORMATION MODELING (BIM) TECHNOLOGY AS AN INTEGRATED DIGITAL FRAMEWORK FOR DESIGN, CONSTRUCTION, AND ASSET LIFECYCLE MANAGEMENT

Abstract

Building Information Modeling (BIM) has moved far beyond the stage in which it could be described as a convenient three-dimensional drafting tool. In current scientific and professional discourse, BIM is increasingly understood as a structured digital methodology for creating, organizing, exchanging, validating, and reusing information throughout the full lifecycle of a built asset. The present article examines BIM technology as an integrated framework that connects conceptual design, engineering coordination, construction planning, cost control, operation, maintenance, and the early foundations of digital twin environments. The purpose of the study is to clarify the theoretical essence of BIM, determine the principal mechanisms through which it creates value, identify the most persistent barriers to effective implementation, and interpret the role of BIM within the broader digital transformation of the architecture, engineering, construction, and operations sector. The article is based on a qualitative analytical review of international standards, interoperability frameworks, systematic literature reviews, and professional guidance documents, including the ISO 19650 family, IFC-based openBIM principles, buildingSMART Information Delivery Specification, studies on 4D BIM, BIM-enabled facility management, and recent work on the relationship between BIM and digital twins. The analysis shows that BIM yields its strongest benefits when it is implemented not as a modeling fashion, but as a disciplined information-management environment supported by explicit exchange requirements, open standards, role clarity, lifecycle thinking,and institutional readiness. The reviewed evidence confirms major advantages in interdisciplinary coordination, clash avoidance, scheduling reliability, cost visibility, visualization, and handover quality, while also demonstrating that the transition from project delivery to operation remains the least mature and most problematic phase of BIM implementation. The study argues that the future trajectory of BIM will depend on three mutually reinforcing developments: standardization of computable information requirements, deeper integration of BIM with construction management and facility management workflows, and progressive linkage of static asset models with real-time data streams in digital twin ecosystems. At the same time, fragmented procurement systems, weak organizational maturity, insufficient training, and limited interoperability discipline continue to reduce the full effect of BIM in many contexts. The article concludes that BIM technology should be interpreted not as an optional digital supplement to traditional practice, but as one of the core methodological foundations of contemporary construction science and lifecycle-oriented asset governance.