The construction industry is one of the important pillars of the economy. Building Information Modeling (BIM) is a set of technologies that aims to enhance collaboration across the architecture, engineering, and construction industries to improve the productivity and quality of the design, construction, and maintenance phases of a building. Rethinking construction is the key to increasing productivity. However, BIM has not been widely adopted in the construction industry. It is necessary to understand the main problems hindering the implementation of BIM, consider the appropriate strategies that can be applied to gain a deeper understanding of BIM, conduct a comprehensive and systematic analysis of the factors influencing the implementation of BIM. Based on a literature review, a questionnaire survey and the collection of statistical data, factors of a negative impact on the implementation of BIM were identified. The results show that key factors influencing BIM adoption include a lack of trained professionals, of investment in staff training, of BIM standardization, as well as the position of leadership in organizations. This article puts forward some proposals to promote the implementation of BIM and specific measures to implement the widespread use of BIM technology in the construction industry.

Buildings are becoming larger and more complex in today’s world. As a result, the old method of personally inspecting a building’s design is no longer efficient, as it is time-consuming and labor-intensive. Establishing and automating systems for inspecting building quality is becoming increasingly crucial. Building Information modeling (BIM) enables for quick decision-making and evaluation by automatically verifying if buildings meet standards. In this case. Real-time quality control and early fault detection are still the most effective methods for decreasing project schedule and expense overrun in the construction process. Current quality control methods on construction sites are inefficient and time-consuming since they only offer data at specified locations and times to reflect the work in progress, limiting a quality manager’s ability to quickly identify and handle faults. The goal of this research is to show how important BIM is in quality management in terms of its many phases. (inspection, control, and quality assurance).

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