PriMera Scientific Engineering (ISSN: 2834-2550)

Literature Review

Volume 9 Issue 2

AI-Integrated BIM and Business Intelligence Frameworks for Enhancing Fenestration System Performance: Evidence from the South Indian AEC Sector

K Rajaprabakaran and A Geetha*

July 28, 2026

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Abstract

Over the years, the role of BIM has evolved from a coordination tool to a performance-driven design platform and is now becoming increasingly infused with artificial intelligence. This research explores the influence of BIM capability with AI technology on fenestration system performance and outcomes of the projects in the South Indian AEC sector. The method employed was quantitative where data were gathered from industry professionals of 300 respondents. Structural Equation Modeling (SEM) was used to analyze the data to assess the direct and indirect relationships. The results show that the use of AI-integrated BIM capability positively contributes to fenestration system performance (β = 0.64, p < 0.001), and fenestration performance positively affects the project outcomes (β = 0.58, p < 0.001). A significant amount of variance in fenestration performance (R² = 0.61) and project outcomes (R² = 0.68) is explained by the model. The mediation analysis results validated the partial mediation of fenestration performance between the capability of the AI-BIM and the project outcomes. Further, there are indications that BIM maturity and green building experience enhance the effectiveness of integrating AI in the moderate range of moderation results. The study is a contribution in creating a clear performance based trajectory between digital capabilities and project outcomes. The results underscore the importance of optimizing systems over just adopting the technology in the context of BIM and AI.

Keywords: AI-integrated BIM; fenestration systems; building performance; SEM; AEC sector; sustainability

References

  1. Azhar S. “Building information modeling (BIM): Trends, benefits, risks, and challenges for the AEC industry”. Leadership and Management in Engineering 11.3 (2011): 241-252.
  2. Becerik-Gerber B, Rice S and Brilakis I. “Motivations for adopting BIM: A comparative study of US and UK construction industries”. Journal of Construction Engineering and Management 138.3 (2012): 365-373.
  3. Bryde D, Broquetas M and Volm JM. “The benefits of building information modelling (BIM)”. International Journal of Project Management 31.7 (2013): 971-980.
  4. Eastman C., et al. “BIM Handbook: A Guide to Building Information Modeling for Owners, Designers, Engineers, Contractors, and Facility Managers. 3rd Edition”. Wiley (2018).
  5. Ghaffarianhoseini A., et al. “Building information modelling (BIM) uptake: Clear benefits, understanding its implementation, risks, and challenges”. Renewable and Sustainable Energy Reviews 75 (2017): 1046-1053.
  6. Guo H, Yu Y and Skitmore M. “Visualization technology-based construction safety management: A review”. Automation in Construction 73 (2017): 135-144.
  7. Jalaei F and Jrade A. “Integrating BIM with sustainable design principles”. Journal of Building Engineering 2 (2015): 27-38.
  8. Kensek K and Noble D. “Building Information Modeling: BIM in Current and Future Practice”. Wiley (2014).
  9. Kim H., et al. “Generating construction schedules through automatic data extraction using open BIM”. Automation in Construction 35 (2013): 285-295.
  10. Li H., et al. “Public-private partnerships in infrastructure development: A review”. International Journal of Project Management 31.7 (2013): 1083-1096.
  11. Lu Y., et al. “Information and communication technology applications in architecture, engineering, and construction organizations: A 15-year review”. Journal of Management in Engineering 31.1 (2015): A4014010.
  12. Merschbrock C and Munkvold BE. “Effective digital collaboration in the construction industry: A case study of BIM deployment”. Computers in Industry 73 (2015): 1-7.
  13. Nguyen TH., et al. “Evaluating the sustainability of architectural design using BIM”. Proceedings of the International Conference on Construction Engineering and Management (2010): 21-29.
  14. Oesterreich TD and Teuteberg F. “Understanding the implications of digitisation and automation in the context of Industry 4.0”. Computers in Industry 83 (2016): 121-139.
  15. Pan Y, Zhang L and Wu X. “Application of artificial intelligence in construction management: A review”. Automation in Construction 129 (2021): 103784.
  16. Sacks R., et al. “BIM Handbook”. 4th Edition. Wiley (2020).
  17. Saka AB and Chan DW. “Adoption of BIM in construction: A systematic review”. Engineering, Construction and Architectural Management 26.11 (2019): 2527-2548.
  18. Sánchez AX., et al. “Delivering value with BIM: A case study”. Automation in Construction 67 (2016): 1-10.
  19. Succar B. “Building information modelling framework: A research and delivery foundation”. Automation in Construction 18.3 (2009): 357-375.
  20. Succar B, Sher W and Williams A. “Measuring BIM performance: Five metrics”. Architectural Engineering and Design Management 8.2 (2012): 120-142.
  21. Volk R., et al. “BIM for existing buildings—Literature review and future needs”. Automation in Construction 38 (2014): 109-127.
  22. Wang X., et al. “BIM adoption in the construction industry: Benefits and barriers”. International Journal of Construction Management 15.1 (2015): 1-15.
  23. Wong JKW and Zhou J. “Enhancing environmental sustainability over building life cycles through BIM”. Automation in Construction 57 (2015): 156-165.
  24. Zhang J., et al. “Building information modeling (BIM) and safety: Automatic safety checking”. Automation in Construction 29 (2013): 183-195.
  25. Zhao X. “A scientometric review of global BIM research”. Automation in Construction 73 (2017): 68-76.
  26. Zhou Y., et al. “Application of artificial intelligence in construction safety management”. Safety Science 141 (2021): 105311.
  27. Ding L, Zhou Y and Akinci B. “Building information modeling for construction safety management”. Automation in Construction 85 (2018): 1-13.
  28. Mahdavinejad M., et al. “Machine learning for Internet of Things data analysis”. Digital Communications and Networks 4.3 (2018): 161-175.
  29. Elghaish F., et al. “Integrated project delivery with BIM: An automated approach”. Automation in Construction 114 (2020): 103182.
  30. Rahman RA and Zaki SA. “Impact of fenestration design on building energy efficiency”. Energy and Buildings 224 (2020): 110234.