The Role of Project Management in Improving Efficiency of Modern Construction Projects

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Yaroslav Dolia

Abstract

Modern construction projects continue to suffer from chronic cost overruns, schedule delays, and coordination failures, particularly as the industry shifts toward prefabrication and engineered-timber systems such as glue-laminated timber (Glulam). This paper examines how structured project management (PM) practices improve efficiency across the design–manufacture–assembly continuum of contemporary construction, with particular attention to prefabricated housing delivery. Building on a review of thirty peer-reviewed sources spanning agile and lean methodologies, Building Information Modeling (BIM), digital twins, the Internet of Things (IoT), and artificial intelligence (AI) in project controls, the paper proposes an original analytical instrument - the Modular Project Efficiency Index (MPEI) - that quantifies PM performance across three weighted dimensions: Schedule Compression, Cost Variance Control, and Coordination Density. Weights are derived through an Analytic Hierarchy Process (AHP) and stress-tested with a sensitivity analysis. Applied illustratively to a prefabricated Glulam housing delivery model, the MPEI demonstrates that integrated PM practices can compress schedules by up to 35–45% and reduce cost variance relative to conventional site-built construction. The paper concludes that PM is not a peripheral administrative function but the central mechanism through which prefabrication technologies translate into measurable efficiency gains, and it offers the MPEI as a transferable diagnostic tool for practitioners scaling modular housing delivery.

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How to Cite
Dolia, Y. (2026). The Role of Project Management in Improving Efficiency of Modern Construction Projects. Global Prosperity, 6(3). https://doi.org/10.66556/2787-9364.3-6.dolia-y
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Articles

References

Belay, M. (2021). Analysis of cost overrun and schedule delays of infrastructure projects in low income economies: Case studies in Ethiopia. Advances in Civil Engineering, 2021, Article 4991204. https://doi.org/10.1155/2021/4991204

Julca-Varas, C., García-Segura, T., Torres-Machí, C., & Montalbán-Domingo, L. (2025). Primary risks for delays and cost overruns in the construction of drinking water supply and sanitation projects in Peru. Journal of Management in Engineering, 41(3), 1–13. https://doi.org/10.1061/JMENEA.MEENG-6496

Lovallo, D., Flyvbjerg, B., & Cristofaro, M. (2023). Governing large projects: A three-stage process to get it right. Academy of Management Perspectives, 37(2). https://doi.org/10.5465/amp.2021.0129

Gil, N. (2022). Megaprojects: A meandering journey towards a theory of purpose, value creation and value distribution. Construction Management and Economics, 40(7–8), 562–584. https://doi.org/10.1080/01446193.2021.1946832

Wuni, I. Y., Shen, G. Q., & Osei-Kyei, R. (2021). Evaluating the critical success criteria for prefabricated prefinished volumetric construction projects. Journal of Financial Management of Property and Construction, 26(2), 279–297. https://doi.org/10.1108/JFMPC-03-2020-0013

Chauhan, K., Peltokorpi, A., Lavikka, R., & Seppänen, O. (2022). The monetary and non-monetary impacts of prefabrication on construction: The effects of product modularity. Buildings, 12(4), 459. https://doi.org/10.3390/buildings12040459

Ifionu, E. S., Njemanze, E. C., Enabulele, A. B. O., Okparabenyo, E., & Egbubine, L. (2026). Cost efficiency and scalability of modular construction: A systematic and bibliometric review of its role in addressing housing shortages. Journal of Management, and Development Research, 3(1), 61–70. https://doi.org/10.69739/jmdr.v3i1.1854

Dong, H., Dacre, N., Baxter, D., & Ceylan, S. (2024). What is agile project management? Developing a new definition following a systematic literature review. Project Management Journal. https://doi.org/10.1177/87569728241254095

Coelho, M. B., Lacerda, D. P., Piran, F. A. S., Silva, D. O. D., & Sellitto, M. A. (2024). Project management efficiency measurement with data envelopment analysis: A case in a petrochemical company. Applied System Innovation, 7(1), 2. https://doi.org/10.3390/asi7010002

Irfan, M., Khan, S. Z., Hassan, N., Hassan, M., Habib, M., Khan, S., & Khan, H. H. (2021). Role of project planning and project manager competencies on public sector project success. Sustainability, 13(3), 1421. https://doi.org/10.3390/su13031421

Lappalainen, E. M., Seppänen, O., Peltokorpi, A., & Singh, V. (2021). Transformation of construction project management toward situational awareness. Engineering, Construction and Architectural Management, 28(8), 2199–2221. https://doi.org/10.1108/ECAM-12-2020-1053

Meabed, E. S. M., et al. (2025). Modified critical chain scheduling for construction projects. HBRC Journal, 21(1), 127–143. https://doi.org/10.1080/16874048.2025.2459038

Abdillah, M. R., & Amin, M. (2022). Analysis of the influence of stakeholder domination, engagement, and organizational behavior on project performance. International Journal of Research and Review, 9(2), 82–93. https://doi.org/10.52403/ijrr.20220212

Xia, N., Guo, J., & Lin, Y.-H. (2021). Managing stakeholder attributes for risk mitigation: Evidence from construction project contractors. International Journal of Managing Projects in Business, 14(7), 1605–1625. https://doi.org/10.1108/IJMPB-11-2020-0345

Du, X. (2021). Research on engineering project management method based on BIM technology. Scientific Programming, 2021, Article 7230585. https://doi.org/10.1155/2021/7230585

Rui, Y., Yaik-Wah, L., & Cher Siang, T. (2021). Construction project management based on building information modeling (BIM). Civil Engineering and Architecture, 9(6), 2055–2061. https://doi.org/10.13189/cea.2021.090633

Zhang, S., Li, Z., Li, T., & Yuan, M. (2021). A holistic literature review of building information modeling for prefabricated construction. Journal of Civil Engineering and Management, 27(7), 485–499. https://doi.org/10.3846/jcem.2021.15600

Cao, Y., Kamaruzzaman, S. N., & Aziz, N. M. (2022). Green building construction: A systematic review of BIM utilization. Buildings, 12(8), 1205. https://doi.org/10.3390/buildings12081205

Kineber, A. F., Oke, A. E., Elshaboury, N., Abunada, Z., Elseknidy, M., Zamil, A., Alhusban, M., & Ilori, S. A. (2024). Agile project management for sustainable residential construction: A study of critical success factors. Frontiers in Built Environment, 10, Article 1442184. https://doi.org/10.3389/fbuil.2024.1442184

Garcés, G., Forcael, E., Osorio, C., Castañeda, K., & Sánchez, O. (2025). Systematic review of Lean Construction: An approach to sustainability and efficiency in construction management. Journal of Infrastructure Preservation and Resilience, 6(1), Article 6. https://doi.org/10.1186/s43065-025-00119-1

Al-Sehrawy, R., Kumar, B., & Watson, R. (2021). A digital twin use classification system for urban planning & city infrastructure management. Journal of Information Technology in Construction, 26, 832–862. https://doi.org/10.36680/J.ITCON.2021.045

Chia Lai, C., Sarkar A., Anh Dinh P., Gaikwad S., & Hsu C. (2024). Urban digital-twin planning for sustainable smart cities: System architecture, preliminary experiments, and open challenges. Proceedings of the 2nd International Workshop on Middleware for Digital Twins. https://doi.org/10.1145/3702636.3703443

Mazzetto, S. (2024). A review of urban digital twins integration, challenges, and future directions in smart city development. Sustainability, 16(19), 8337. https://doi.org/10.3390/su16198337

Khan, A. M., Alrasheed, K. A., Waqar, A., Almujibah, H., & Benjeddou, O. (2024). Internet of things (IoT) for safety and efficiency in construction building site operations. Scientific Reports, 14, 28914. https://doi.org/10.1038/s41598-024-78931-0

Khurshid, K., Danish, A., Salim, M. U., Bayram, M., Ozbakkaloglu, T., & Mosaberpanah, M. A. (2023). An in-depth survey demystifying the Internet of Things (IoT) in the construction industry: Unfolding new dimensions. Sustainability, 15(2), 1275. https://doi.org/10.3390/su15021275

Kim, S., Jung, D., Kim, J. Y., & Mun, J. H. (2024). Study on early age concrete's compressive strengths in unmanaged curing condition using IoT-based maturity monitoring. Buildings, 14(3), 798. https://doi.org/10.3390/buildings14030798

Cho, J., Jeong, S., & Lee, B. (2024). A study on anchor placement and 3D positioning algorithm for UWB application in small sites. KSCE Journal of Civil Engineering, 28, 4575–4587. https://doi.org/10.1007/s12205-024-2107-z

Mali, A. S., Kolhe, A., Gorde, P., Kolekar, A., Umbrajkar, A., Solepatil, S., & Zare, K. (2025). Application of artificial intelligence and machine learning in construction project management: A comparative study of predictive models. Asian Journal of Civil Engineering. https://doi.org/10.1007/s42107-025-01335-6

Salimimoghadam, S., Ghanbaripour, A. N., Tumpa, R. J., Kamel Rahimi, A., Golmoradi, M., Rashidian, S., & Skitmore, M. (2025). The rise of artificial intelligence in project management: A systematic literature review of current opportunities, enablers, and barriers. Buildings, 15(7), 1130. https://doi.org/10.3390/buildings15071130

Taboada, I., Daneshpajouh, A., Toledo, N., & de Vass, T. (2023). Artificial intelligence enabled project management: A systematic literature review. Applied Sciences, 13(8), 5014. https://doi.org/10.3390/app13085014