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DT, BIM, and IoTs Contributions and Barriers in Construction PM: A PRISMA Cover

DT, BIM, and IoTs Contributions and Barriers in Construction PM: A PRISMA

Open Access
|Sep 2025

References

  1. Abbasnejad, B., Soltani, S., Karamoozian, A., & Gu, N. (2024). A systematic literature review on the integration of Industry 4.0 technologies in sustainability improvement of transportation construction projects: state-of-the-art and future directions. Smart and Sustainable Built Environment.https://doi.org/10.1108/SASBE-11-2023-0335
  2. Aghimien, D., Aigbavboa, C., Oke, A., & Thwala, W. (2021). Construction digitalisation: A capability maturity model for construction organisations. Routledge.https://doi.org/10.1201/9781003164654
  3. Al-Obaidi, K. M., Hossain, M., Alduais, N. A., Al-Duais, H. S., Omrany, H., & Ghaffarianhoseini, A. (2022). A review of using IoT for energy efficient buildings and cities: A built environment perspective. Energies, 15(16), 5991.https://doi.org/10.3390/en15165991
  4. Ariono, B., Wasesa, M., & Dhewanto, W. (2022). The drivers, barriers, and enablers of building information modeling (BIM) innovation in developing countries: Insights from systematic literature review and comparative analysis. Buildings, 12(11), 1912.https://doi.org/10.3390/buildings12111912
  5. Ashtiani Araghi, Z., & Vosoughifar, H. (2023). Modified BIM processes considering safety–quality index for precast concrete construction. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 9(1), 04022062.https://doi.org/10.1061/AJRUA6.0001274
  6. Baghalzadeh Shishehgarkhaneh, M., Keivani, A., Moehler, R. C., Jelodari, N., & Roshdi Laleh, S. (2022). Internet of Things (IoT), Building Information Modeling (BIM), and Digital Twin (DT) in construction industry: A review, bibliometric, and network analysis. Buildings, 12(10), 1503.https://doi.org/10.3390/buildings12101503
  7. Boje, C., Menacho, Á. J. H., Marvuglia, A., Benetto, E., Kubicki, S., Schaubroeck, T., & Gutierrez, T. N. (2023). A framework using BIM and digital twins in facilitating LCSA for buildings. Journal of Building Engineering, 76, 107232.https://doi.org/10.1016/j.jobe.2023.107232
  8. Brennan, S. E., & Johnston, R. V. (2023). Research Note: Interpreting findings of a systematic review using GRADE methods. Journal of Physiotherapy, 69(3), 198-202.https://doi.org/10.1016/j.jphys.2023.05.012
  9. Chao, S., Haoli, Z., Guogang, Y., Shuangshuang, W., & Yidong, X. (2021). Research on construction quality control of prefabricated concrete bridge based on BIM technology. In IOP Conference Series: Earth and Environmental Science (Vol. 643, No. 1, p. 012063). IOP Publishing.DOI 10.1088/1755-1315/643/1/012063
  10. Charef, R., & Emmitt, S. (2021). Uses of building information modelling for overcoming barriers to a circular economy. Journal of cleaner production, 285, 124854.https://doi.org/10.1016/j.jclepro.2020.124854
  11. Chen, Y., Huang, D., Liu, Z., Osmani, M., & Demian, P. (2022). Construction 4.0, Industry 4.0, and Building Information Modeling (BIM) for sustainable building development within the smart city. Sustainability, 14(16), 10028.https://doi.org/10.3390/su141610028
  12. Deng, M., Menassa, C. C., & Kamat, V. R. (2021). From BIM to digital twins: A systematic review of the evolution of intelligent building representations in the AEC-FM industry. Journal of Information Technology in Construction, 26.DOI: 10.36680/j.itcon.2021.005
  13. Ershadi, M., Jefferies, M., Davis, P., & Mojtahedi, M. (2021). Implementation of Building Information Modelling in infrastructure construction projects: a study of dimensions and strategies. International Journal of Information Systems and Project Management, 9(4), 43-59.
  14. Farsi, M., Daneshkhah, A., Hosseinian-Far, A., & Jahankhani, H. (Eds.). (2020). Digital twin technologies and smart cities (Vol. 32). Berlin/Heidelberg, Germany: Springer.https://doi.org/10.1007/978-3-030-18732-3
  15. Fawad, M., Salamak, M., Chen, Q., Uscilowski, M., Koris, K., Jasinski, M., ... & Piotrowski, D. (2025). Development of immersive bridge digital twin platform to facilitate bridge damage assessment and asset model updates. Computers in Industry, 164, 104189.https://doi.org/10.1016/j.compind.2024.104189
  16. Feng, K., Wang, S., Lu, W., Liu, C., & Wang, Y. (2022). Planning construction projects in deep uncertainty: A data-driven uncertainty analysis approach. Journal of Construction Engineering and Management, 148(8), 04022060.https://doi.org/10.1061/(ASCE)CO.1943-7862.0002315
  17. Gao, H., Wang, D., Du, X., & Zhao, Z. (2024). An LCA-BIM integrated model for carbon-emission calculation of prefabricated buildings. Renewable and Sustainable Energy Reviews, 203, 114775.https://doi.org/10.1016/j.rser.2024.114775
  18. Ghosh, A., Edwards, D. J., & Hosseini, M. R. (2021). Patterns and trends in Internet of Things (IoT) research: future applications in the construction industry. Engineering, construction and architectural management, 28(2), 457-481.https://doi.org/10.1108/ECAM-04-2020-0271
  19. Ghosh, B., & Karmakar, S. (2025). Digitalized document management system for construction claims and disputes to enhance the smoothness of advanced construction projects using the building information modeling integrated framework. Journal of Legal Affairs and Dispute Resolution in Engineering and Construction, 17(1), 04524038.https://doi.org/10.1061/JLADAH.LADR-1203
  20. Hashim Mohammed, B., Sallehuddin, H., Safie, N., Husairi, A., Abu Bakar, N. A., Yahya, F., ... & AbdelGhany Mohamed, S. (2022). Building information modeling and internet of things integration in the construction industry: a scoping study. advances in civil engineering, 2022(1), 7886497. https://doi.org/10.1155/2022/7886497
  21. Hassan, A. M., Negash, Y. T., & Hanum, F. (2024). An assessment of barriers to digital transformation in circular Construction: An application of stakeholder theory. Ain Shams Engineering Journal, 15(7), 102787.https://doi.org/10.1016/j.asej.2024.102787
  22. Honnappa, D., & Padala, S. S. (2022). BIM-based framework to quantify delays and cost overruns due to changes in construction projects. Asian Journal of Civil Engineering, 23(5), 707-725.https://doi.org/10.1007/s42107-022-00451-x
  23. Hosamo, H. H., Imran, A., Cardenas-Cartagena, J., Svennevig, P. R., Svidt, K., & Nielsen, H. K. (2022). A review of the digital twin technology in the AEC-FM industry. Advances in civil engineering, 2022(1), 2185170. https://doi.org/10.1155/2022/2185170
  24. Hu, X., Olgun, G., & Assaad, R. H. (2024). An intelligent BIM-enabled digital twin framework for real-time structural health monitoring using wireless IoT sensing, digital signal processing, and structural analysis. Expert Systems with Applications, 252, 124204.https://doi.org/10.1016/j.eswa.2024.124204
  25. Ibraheem, R. A. R., & Mahjoob, A. M. R. (2022). Facilitating claims settlement using building information modeling in the school building projects. Innovative Infrastructure Solutions, 7(1), 40.https://doi.org/10.1007/s41062-021-00646-2
  26. Ikudayisi, A. E., Chan, A. P., Darko, A., & Adedeji, Y. M. (2023). Integrated practices in the architecture, engineering, and construction industry: current scope and pathway towards industry 5.0. Journal of Building Engineering, 73, 106788.https://doi.org/10.1016/j.jobe.2023.106788
  27. Ja’far, A. (2021). Building Information Modelling Technology in Mitigating Cost Overruns and change orders in Construction Projects. Journal of Advanced Sciences and Engineering Technologies, 4(1), 50-64.DOI:https://doi.org/10.32441/jaset.04.01.05
  28. Jiang, A. (2025). Construction Engineering Quality Improvement Management System Based on BIM Technology. In Smart Infrastructures in the IoT Era (pp. 735-747). Cham: Springer Nature Switzerland.https://doi.org/10.1007/978-3-031-72509-8_61
  29. Jiang, Y., Li, M., Guo, D., Wu, W., Zhong, R. Y., & Huang, G. Q. (2022). Digital twin-enabled smart modular integrated construction system for on-site assembly. Computers in Industry, 136, 103594.https://doi.org/10.1016/j.compind.2021.103594
  30. Jiang, Y., Su, S., Zhao, S., Zhong, R. Y., Qiu, W., Skibniewski, M. J., ... & Huang, G. Q. (2024). Digital twin-enabled synchronized construction management: a roadmap from construction 4.0 towards future prospect. Developments in the Built Environment, 19, 100512.https://doi.org/10.1016/j.dibe.2024.100512
  31. Junussova, T., Nadeem, A., Kim, J. R., Azhar, S., Khalfan, M., & Kashyap, M. (2022). Sustainable construction through resource planning systems incorporation into building information modelling. Buildings, 12(10), 1761.https://doi.org/10.3390/buildings12101761
  32. Kamari, M., & Ham, Y. (2022). AI-based risk assessment for construction site disaster preparedness through deep learning-based digital twinning. Automation in Construction, 134, 104091.https://doi.org/10.1016/j.autcon.2021.104091
  33. Kariuki, I. G. (2021). Adoption of Internet of Things in The Construction Industry. Africa Habitat Review, 15(1), 2123-2134.
  34. Khalifa, F., & Marzouk, M. (2025). Integrated blockchain and Digital Twin framework for sustainable building energy management. Journal of Industrial Information Integration, 43, 100747.https://doi.org/10.1016/j.jii.2024.100747
  35. Li, X., Liu, H., Wang, W., Zheng, Y., Lv, H., & Lv, Z. (2022). Big data analysis of the internet of things in the digital twins of smart city based on deep learning. Future Generation Computer Systems, 128, 167-177.https://doi.org/10.1016/j.future.2021.10.006
  36. Li, Y., Wang, C., Li, Z., Ren, D., & Xing, Z. (2025). A digital twin-based integrated optimization strategy for cascade refrigeration systems to boost energy efficiency. Applied Thermal Engineering, 267, 125840.https://doi.org/10.1016/j.applthermaleng.2025.125840
  37. Liang, Y., & Liu, Q. (2022). Early warning and real-time control of construction safety risk of underground engineering based on building information modeling and internet of things. Neural Computing and Applications, 34(5), 3433-3442.https://doi.org/10.1007/s00521-021-05755-8
  38. Liu, X. (2025). Integration of building information model and engineering cost calculation based on cloud computing. In Smart Infrastructures in the IoT Era (pp. 357-366). Cham: Springer Nature Switzerland.https://doi.org/10.1007/978-3-031-72509-8_30
  39. Liu, Y., AH, A., Haron, N. A., NA, B., & Wang, H. (2024). Robotics in the construction sector: Trends, advances, and challenges. Journal of intelligent & Robotic systems, 110(2), 72.https://doi.org/10.1007/s10846-024-02104-4
  40. Liu, Z. S., Meng, X. T., Xing, Z. Z., Cao, C. F., Jiao, Y. Y., & Li, A. X. (2022). Digital twin-based intelligent safety risks prediction of prefabricated construction hoisting. Sustainability, 14(9), 5179.https://doi.org/10.3390/su14095179
  41. Lu, Y., Gong, P., Tang, Y., Sun, S., & Li, Q. (2021). BIM-integrated construction safety risk assessment at the design stage of building projects. Automation in Construction, 124, 103553.https://doi.org/10.1016/j.autcon.2021.103553
  42. Maddikunta, P. K. R., Pham, Q. V., Deepa, N., Dev, K., Gadekallu, T. R., Ruby, R., & Liyanage, M. (2022). Industry 5.0: A survey on enabling technologies and potential applications. Journal of industrial information integration, 26, 100257.https://doi.org/10.1016/j.jii.2021.100257
  43. Madubuike, O. C., Anumba, C. J., & Khallaf, R. (2022). A review of digital twin applications in construction. Journal of Information Technology in Construction, 27.DOI: 10.36680/j.itcon.2022.008
  44. Malagnino, A., Montanaro, T., Lazoi, M., Sergi, I., Corallo, A., & Patrono, L. (2021). Building Information Modeling and Internet of Things integration for smart and sustainable environments: A review. Journal of Cleaner Production, 312, 127716.https://doi.org/10.1016/j.jclepro.2021.127716
  45. Maqbool, R., Saiba, M. R., & Ashfaq, S. (2023). Emerging industry 4.0 and Internet of Things (IoT) technologies in the Ghanaian construction industry: sustainability, implementation challenges, and benefits. Environmental Science and Pollution Research, 30(13), 37076-37091.https://doi.org/10.1007/s11356-022-24764-1
  46. Maqsoom, A., Zulqarnain, M., Irfan, M., Ullah, F., Alqahtani, F. K., & Khan, K. I. A. (2023). Drivers of, and barriers to, the adoption of mixed reality in the construction industry of developing countries. Buildings, 13(4), 872.https://doi.org/10.3390/buildings13040872
  47. Marcellino, M., Castelblanco, G., & Marco, A. D. (2023, September). Contract renegotiation in PPPs: evidence from Italy. In AIP Conference Proceedings (Vol. 2928, No. 1, p. 070011). AIP Publishing LLC.https://doi.org/10.1063/5.0170424
  48. Marinelli, M. (2023). From industry 4.0 to construction 5.0: Exploring the path towards human–robot collaboration in construction. Systems, 11(3), 152.https://doi.org/10.3390/systems11030152
  49. Mu, X., & Antwi-Afari, M. F. (2024). The applications of Internet of Things (IoT) in industrial management: a science mapping review. International Journal of Production Research, 62(5), 1928-1952.https://doi.org/10.1080/00207543.2023.2290229
  50. Nasir, M. M., Prakash, P. R., & Suman, M. (2025). An automated BIM-GRIHA15-LCA framework for building sustainability assessment. Journal of Building Engineering, 101, 111908.https://doi.org/10.1016/j.jobe.2025.111908
  51. Nassereddine, H., Hatoum, M. B., Musick, S., & Jazzar, M. E. (2022). Implications of digitization on a construction organization: a case study. In Proceedings of the creative construction e-conference (pp. 71-79).https://doi.org/10.3311/CCC2022-011
  52. Omari, R. A., Sweis, G., Abu-Khader, W., & Sweis, R. (2023). Barriers to the adoption of digitalization in the construction industry: Perspectives of owners, consultants, and contractors. Construction Economics and Building, 23(3/4), 87-106.
  53. Omrany, H., Al-Obaidi, K. M., Husain, A., & Ghaffarianhoseini, A. (2023). Digital twins in the construction industry: a comprehensive review of current implementations, enabling technologies, and future directions. Sustainability, 15(14), 10908.https://doi.org/10.3390/su151410908
  54. Opoku, D. G. J., Perera, S., Osei-Kyei, R., & Rashidi, M. (2021). Digital twin application in the construction industry: A literature review. Journal of Building Engineering, 40, 102726.https://doi.org/10.1016/j.jobe.2021.102726
  55. Osorio-Gómez, C. C., Herrera, R. F., Prieto-Osorio, J. M., & Pellicer, E. (2024). Conceptual model for implementation of digital transformation and organizational structure in the construction sector. Ain Shams Engineering Journal, 15(7), 102749.https://doi.org/10.1016/j.asej.2024.102749
  56. Pal, U. K., Zhang, C., Haupt, T. C., Li, H., & Su, L. (2024). The Evolution of Construction 5.0: Challenges and Opportunities for the Construction Industry. Buildings, 14(12), 4010.https://doi.org/10.3390/buildings14124010
  57. Poyyamozhi, M., Murugesan, B., Rajamanickam, N., Shorfuzzaman, M., & Aboelmagd, Y. (2024). IoT—A promising solution to energy management in smart buildings: A systematic review, applications, barriers, and future scope. Buildings, 14(11), 3446.https://doi.org/10.3390/buildings14113446
  58. Qi, B., Razkenari, M., Costin, A., Kibert, C., & Fu, M. (2021). A systematic review of emerging technologies in industrialized construction. Journal of building engineering, 39, 102265.https://doi.org/10.1016/j.jobe.2021.102265
  59. Radman, K., Babaeian Jelodar, M., Ghazizadeh, E., & Wilkinson, S. (2021). Causes of delay in smart and complex construction projects. Journal of Legal Affairs and Dispute Resolution in Engineering and Construction, 13(4), 05021006.https://doi.org/10.1061/(ASCE)LA.1943-4170.0000501.
  60. Rane, N. (2023). Integrating leading-edge artificial intelligence (AI), internet of things (IOT), and big data technologies for smart and sustainable architecture, engineering and construction (AEC) industry: Challenges and future directions. Engineering and Construction (AEC) Industry: Challenges and Future Directions (September 24, 2023).
  61. Rao, A. S., Radanovic, M., Liu, Y., Hu, S., Fang, Y., Khoshelham, K., ... & Ngo, T. (2022). Real-time monitoring of construction sites: Sensors, methods, and applications. Automation in construction, 136, 104099.https://doi.org/10.1016/j.autcon.2021.104099
  62. Rejeb, A., Rejeb, K., Zailani, S. H. M., & Abdollahi, A. (2022). Knowledge diffusion of the internet of things (IoT): a main path analysis. Wireless Personal Communications, 126(2), 1177-1207.https://doi.org/10.1007/s11277-022-09787-8
  63. Rinchen, S., Banihashemi, S., & Alkilani, S. (2024). Driving digital transformation in construction: Strategic insights into building information modelling adoption in developing countries. Project Leadership and Society, 5, 100138.https://doi.org/10.1016/j.plas.2024.100138
  64. Sakr, M., & Sadhu, A. (2023). Visualization of structural health monitoring information using Internet-of-Things integrated with building information modeling. Journal of Infrastructure Intelligence and Resilience, 2(3), 100053.https://doi.org/10.1016/j.iintel.2023.100053
  65. Sarkis-Onofre, R., Catalá-López, F., Aromataris, E., & Lockwood, C. (2021). How to properly use the PRISMA Statement. Systematic reviews, 10(1), 117.https://doi.org/10.1186/s13643-021-01671-z
  66. Schünemann, H. J. (2022). Using systematic reviews in guideline development: the GRADE approach. Systematic Reviews in Health Research: Meta-Analysis in Context, 424-448. https://doi.org/10.1002/9781119099369.ch22
  67. Setiawan, F. F., Hansen, S., & Fujiono, A. (2021). Measuring the influence of communication planning towards construction project performance. Project management, 8(16), 2.DOI: 10.2478/cee-2021-0007
  68. Shehata, A. O., Farsangi, E. N., Morrison, G. M., Rashidi, M., Yang, T. Y., & Mirdan, M. M. (2025). Enhanced digital twins (EDTs) approach based on advanced inspection and technology adoption to achieve sustainable construction processes. Energy and Buildings, 115880.https://doi.org/10.1016/j.enbuild.2025.115880
  69. Soori, M., Jough, F. K. G., Dastres, R., & Arezoo, B. (2024). Sustainable CNC machining operations, a review. Sustainable Operations and Computers, 5, 73-87.https://doi.org/10.1016/j.susoc.2024.01.001
  70. Suleiman, A., Almasaeid, H., Hussein, N., & Abahre, J. (2023). Addressing the causes and effects of poor communication in the jordanian construction industry: a study on improving project performance. Civil and Environmental Engineering, 19(1), 156-166.DOI: 10.2478/cee-2023-0014
  71. Teizer, J. – Johansen, K. W. – Schultz, C. (March, 2022). The concept of digital twin for construction safety. Presented at Construction Research Congress 2022. American Society of Construction Engineers (ASCE) Library, pp. 1156-1165.
  72. Tuhaise, V. V., Tah, J. H. M., & Abanda, F. H. (2023). Technologies for digital twin applications in construction. Automation in Construction, 152, 104931.https://doi.org/10.1016/j.autcon.2023.104931
  73. Van Tam, N., Toan, N. Q., & Van Phong, V. (2024). Investigating potential barriers to construction digitalization in emerging economies: A study in Vietnam. International Journal of Information Management Data Insights, 4(1), 100226.https://doi.org/10.1016/j.jjimei.2024.100226
  74. Veerendra, G. T. N., Dey, S., Mantle, E. J., Manoj, A. P., & Padavala, S. S. A. B. (2025). Building information modeling– simulation and analysis of a University Edifice and its environs–A sustainable design approach. Green Technologies and Sustainability, 3(2), 100150.https://doi.org/10.1016/j.grets.2024.100150
  75. Xu, M., Nie, X., Li, H., Cheng, J. C., & Mei, Z. (2022). Smart construction sites: A promising approach to improving on-site HSE management performance. Journal of Building Engineering, 49, 104007.https://doi.org/10.1016/j.jobe.2022.104007
  76. Yang, A., Han, M., Zeng, Q., & Sun, Y. (2021). Adopting building information modeling (BIM) for the development of smart buildings: a review of enabling applications and challenges. Advances in Civil Engineering, 2021(1), 8811476.https://doi.org/10.1155/2021/8811476
  77. Yitmen, I., Almusaed, A., & Alizadehsalehi, S. (2023). Investigating the causal relationships among enablers of the construction 5.0 paradigm: integration of operator 5.0 and society 5.0 with human-centricity, sustainability, and resilience. Sustainability, 15(11), 9105.https://doi.org/10.3390/su15119105
  78. Yoon, S. (2023). Building digital twinning: Data, information, and models. Journal of Building Engineering, 76, 107021.https://doi.org/10.1016/j.jobe.2023.107021
  79. Yuan, Y., Song, C., Zeng, K., Gao, L., Huang, Y., & Chen, Y. (2025). An occupant-centric control case study based on internet of things and data mining for an office space. Journal of Building Engineering, 101, 111925.https://doi.org/10.1016/j.jobe.2025.111925
  80. Zhang, H., Zhou, Y., Zhu, H., Sumarac, D., & Cao, M. (2021). Digital twin-driven intelligent construction: features and trends. Structural Durability & Health Monitoring, 15(3), 183.DOI: 10.32604/sdhm.2021.018247
  81. Zhou, J. X., Shen, G. Q., Yoon, S. H., & Jin, X. (2021). Customization of on-site assembly services by integrating the internet of things and BIM technologies in modular integrated construction. Automation in Construction, 126, 103663.https://doi.org/10.1016/j.autcon.2021.103663
DOI: https://doi.org/10.2478/cee-2026-0009 | Journal eISSN: 2199-6512 | Journal ISSN: 1336-5835
Language: English
Submitted on: Jul 3, 2025
Accepted on: Jul 31, 2025
Published on: Sep 5, 2025
Published by: University of Žilina
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2025 Marwan Abdulqader, Aidi Hizami Bin Alias, Nuzul Azam Haron, M.Y. M Zuhri, published by University of Žilina
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