Bibliometric Analysis of Literature on Digital Tools for Project Delivery in Construction Management
Abstract
In recent years, the construction industry has undergone a significant transformation, primarily driven by the adoption of digital tools to enhance project delivery, efficiency, and ensure sustainability. This study conducts a bibliometric analysis of literature from 2015 to 2025 on digital tools used for project delivery in construction management to discover publication trends, identify key contributors, and highlight existing research gaps. A total of 382 relevant publications were retrieved from the Web of Science (WoS) database, and VOSviewer software was used for the network analysis. Various influential authors, institutions, journals, and countries contributing to the field were identified from the network analysis, with Building Information Modeling (BIM), artificial intelligence (AI), drones, virtual and augmented reality, and cloud computing emerging as the most prominent technologies. Furthermore, four main thematic clusters were identified: BIM and sustainability frameworks, digital tools in Education, innovations in construction management, and simulation-based design optimization. The findings reveal that while nations such as China, the United States, and Australia lead in research output, regions such as Africa, particularly Nigeria, remain underrepresented in this area. The bibliometric analysis revealed gaps in existing literature, including the need for integrated digital frameworks, enhancing digital literacy among construction professionals, and greater regional participation. These insights contribute to the ongoing dissertation on digital transformation in the construction industry and offer a basis for research and policy development in emerging economies of the future.
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References
Akrama, R., Thaheem, M. J., Nasir, A. R., Ali, T. H., & Khan, S. (2019). Exploring the role of building information modeling in construction safety through science mapping. Safety Science, 120, 456–470. https://doi.org/10.1016/J.SSCI.2019.07.036
Aliu, J., Oke, A. E., Kineber, A. F., Ebekozien, A., Aigbavboa, C. O., Alaboud, N. S., & Daoud, A. O. (2023). Towards a new paradigm of project management: A bibliometric review. Sustainability, 15(13), 9967. https://doi.org/10.3390/su15139967
Arifin, S. (2025). Bibliometric analysis using VOSviewer: A simple analysis and trend [Preprint]. ResearchGate. https://www.researchgate.net/profile/Samsul-Arifin-2/publication/390874485_Bibliometric_Analysis_using_Vosviewer_A_Simple_Analysis_and_Trend/links/680110f9bfbe974b23ab0747/Bibliometric-Analysis-using-Vosviewer-A-Simple-Analysis-and-Trend.pdf
Azhar, S., Khalfan, M., & Maqsood, T. (2012). Building information modeling (BIM): Now and beyond. Australasian Journal of Construction Economics and Building. http://dx.doi.org/10.5130/ajceb.v12i4.3032
Birkle, C., Pendlebury, D. A., Schnell, J., & Adams, J. (2020). Web of Science as a data source for research on scientific and scholarly activity. Quantitative Science Studies, 1(1), 363–376. https://doi.org/10.1162/qss_a_00018
Bryde, D. J. (2003). Project management concepts, methods and application. International Journal of Operations & Production Management, 23(7), 775–793. https://doi.org/10.1108/01443570310481559
Chen, C., & Tang, L. (2019). BIM-based integrated management workflow design for schedule and cost planning of building fabric maintenance. University of Nottingham Ningbo China. https://doi.org/10.1016/j.autcon.2019.102944
Darwish, A. M., Tantawy, M., & Elbeltagi, E. (2020). Critical success factors for BIM implementation in construction projects. Saudi Journal of Civil Engineering, 4(9), 180–191. https://doi.org/10.36348/sjce.2020.v04i09.006
Delgado, D., J. M., Oyedele, L., Beach, T., & Demian, P. (2020). Augmented and virtual reality in construction: Drivers and limitations for industry adoption. University of the West of England; Cardiff University; Loughborough University. Journal of Construction Engineeering and Management 146(7). https://doi.org/10.1061/(ASCE)CO.1943-7862.0001844
Du, T. (2017). Study on teaching method of BIM technology in universities. Journal of Educational Theory and Management, 1(1), 45. https://doi.org/10.26549/jetm.v1i1.576
Giang, N. T. H., Pham, H., Tu, N. T. T., & Tan, P. X. (2021). Exploring the readiness for digital transformation in a higher education institution towards Industrial Revolution 4.0. International Journal of Engineering Pedagogy (iJEP), 11(2), 4–17. https://doi.org/10.3991/ijep.v11i2.17515
Lee, D.-E., Yi, C.-Y., Lim, T.-K., & Arditi, D. (2010). Integrated simulation system for construction operation and project scheduling. Journal of Computing in Civil Engineering, 24(6),557–568. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000061
Mutoni, U. (2025). Influence of digital transformation on project management efficiency in construction projects in Rwanda. Journal of Entrepreneurship and Project Management, 10(2), 47–57. https://doi.org/10.47941/jepm.2950
Nabeel, M. Z. (2024). AI-enhanced project management systems for optimizing resource allocation and risk mitigation: Leveraging big data analysis to predict project outcomes and improve decision-making processes in complex projects. Asian Journal of Multidisciplinary Research & Review, 5(5), 53–91. https://www.researchgate.net/publication/384799510
Olaonipekun, J., Azhar, S., Sattineni, A., & Fasoyinu, A. A. (2024). Influence of information and communication technology application in construction jobsites: A systematic review and bibliometric analysis. Journal of Information Technology in Construction, 29, 383–407. https://doi.org/10.36680/j.itcon.2024.021
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
Oyesode, S. A., Dare-Abel, O. A., Daramola, S. A., Ogunmakinde, O. E., & Saka, A. B. (2023). Building information modelling (BIM) education in Nigerian universities. European Journal of Science, Innovation and Technology, 3(5), 345–359. https://ejsit-journal.com/index.php/ejsit/article/view/309
Parusheva, S., & Aleksandrova, Y. (2021). Digital technologies and tools – Drivers of digitalization in construction. Izvestia Journal of the Union of Scientists – Varna, Economic Sciences Series, 10(1), 63–71. https://www.researchgate.net/publication/362733195
Radujković, M., & Sjekavica, M. (2017). Project management success factors. Procedia Engineering, 196, 607–615. https://doi.org/10.1016/j.proeng.2017.08.048
Sacks, R., Eastman, C., Lee, G., & Teicholz, P. M. (2018). BIM handbook: A guide to building information modeling for owners, designers, engineers, contractors, and facility managers (3rd ed.). Wiley. https://doi.org/10.1002/9781119287568
Samuelson, O., & Stehn, L. (2023). Digital transformation in construction – A review. Journal of Information Technology in Construction, 28, 381–401. https://doi.org/10.36680/j.itcon.2023.020
Sinaga, P. G. V., Rifai, A. I., & Pamadi, M. (2024). Bibliometric analysis of productivity instruments in construction management project management using VOSviewer. American Journal of Open Research, 3(5), 980–989. https://doi.org/10.58811/opsearch.v3i5.104 https://www.researchgate.net/publication/380406829
Van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84, 523–538. https://doi.org/10.1007/s11192-009-0146-3
Wang, Z., Danish, Zhang, B., & Wang, B. (2018). Renewable energy consumption, economic growth, and human development index in Pakistan: Evidence from simultaneous equation model. Journal of Cleaner Production, 184, 1081–1090. https://doi.org/10.1016/j.jclepro.2018.02.260
Zhang, L., Liu, Y., Wang, H., Chen, J., Li, Q., & Yang, X. (2025). Analysis of global trends and hotspots of skin microbiome in acne: A bibliometric perspective. BioData Mining, 18(1). https://doi.org/10.1186/s13040-025-00433-0
Zuo, C.-J., & Tian, J. (2025). Global trends and emerging research in nanotechnology for esophageal cancer: A comprehensive bibliometric analysis. Discover Oncology, 16(1). https://doi.org/10.1007/s12672-025-02018-z
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Copyright (c) 2026 Shadrack Habu, Lekan M. Amusan, Ayodeji Ogunde, Christiana Adeyinka, Folasade O. Adejola , Adekunle M. Ajao
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Article Details
Accepted 2026-02-17