A review of evolving trends in construction project management: Integrating technology, leadership, and sustainability
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Abstract
This literature review synthesises recent advancements and emerging trends in the field of project management, with a focus on the evolving impact of technology, leadership, and sustainability. Drawing on a wide range of scholarly articles and industry publications, the review explores the foundational principles of project management, such as risk management, leadership effectiveness, and project efficiency, while also highlighting the complexities of applying these practices across various sectors. The integration of cutting-edge technologies, such as artificial intelligence, data analytics, and hybrid methodologies, is identified as a key driver of change in project execution. Furthermore, the increasing emphasis on sustainability and ethics reflects a shift in the industry toward a broader definition of project success, beyond traditional financial outcomes. This review emphasizes the need for continuous adaptation in project management practices and calls for future research to refine leadership strategies, improve technology adoption, and develop more holistic frameworks for assessing project success. The findings underscore the importance of aligning traditional project management principles with the demands of an increasingly complex and fast-evolving global environment.
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© 2026 The authors. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License.
References
Aga, D. A., Noorderhaven, N., & Vallejo, B. (2021). Transformational leadership and project success: The mediating role of psychological empowerment. International Journal of Project Management, 34(5), 806–818.
https://doi.org/10.1016/j.ijproman.2016.02.012
Backlund, F., Chronéer, D., & Sundqvist, E. (2014). Project Management Maturity Models – A Critical review. Procedia - Social and Behavioral Sciences, 119, 837–846. https://doi.org/10.1016/j.sbspro.2014.03.094
Chan, A. P. C., Scott, D., & Chan, A. P. L. (2004). Factors affecting the success of a construction project. Journal of Construction Engineering and Management, 130(1), 153–155. https://doi.org/10.1061/(ASCE)0733-9364(2004)130:1(153)
Chou, J. (2010). Cost simulation in an item-based project involving construction engineering and management. International Journal of Project Management, 29(6), 706–717. https://doi.org/10.1016/J.IJPROMAN.2010.07.010
Chou, J., & Yang, J. (2012). Project management knowledge and effects on construction project outcomes: An empirical study. Project Management Journal, 43(5), 47–67. https://doi.org/10.1002/pmj.21302
Datta, S. D., Islam, M., Rahman Sobuz, M. H., Ahmed, S., & Kar, M. (2024). Artificial intelligence and machine learning applications in the project lifecycle of the construction industry: A comprehensive review. Heliyon, 10(5), e26888. https://doi.org/10.1016/j.heliyon.2024.e26888
Doloi, H. (2012). Cost overruns and failure in project management: Understanding the roles of key stakeholders in construction projects. Journal of Construction Engineering and Management, 139(3), 267–279. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000621
El-Adaway, I. H., Ali, G., Assaad, R., Elsayegh, A., & Abotaleb, I. S. (2019). Analytic overview of citation metrics in the civil engineering domain with focus on construction engineering and management specialty area and its subdisciplines. Journal of Construction Engineering and Management, 145(10), 04019062. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001705
Fareed, M. Z., Su, Q., & Aslam, M. U. (2023). Transformational leadership and project success: The mediating role of psychological empowerment. SAGE Open. https://doi.org/10.1177/21582440231154796
Fernández-Sánchez, G., & Rodríguez-López, F. (2010). A methodology to identify sustainability indicators in construction project management—Application to infrastructure projects in Spain. Ecological Indicators, 10(6), 1193–1201. https://doi.org/10.1016/j.ecolind.2010.04.009
He, Z., Wang, Y., & Zhang, J. (2023). Generative AIBIM: An automatic and intelligent structural design pipeline integrating BIM and generative AI. Information Fusion, 114, 102654. https://doi.org/10.1016/j.inffus.2024.102654
Hu, Y., Chan, A. P. C., Le, Y., & Jin, R. (2015). From construction megaproject management to complex project management: Bibliographic analysis. Journal of Management in Engineering, 31(4), 04014052. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000313
Huang, Y., Shi, Q., Zuo, J., Pena-Mora, F., & Chen, J. (2021). Research status and challenges of data‐driven construction project management in the big data context. Advances in Civil Engineering, 2021(1), 1–15. https://doi.org/10.1364/PRJ.420944
Ibrahim, M. R. (2023). The missing link: Exploring the relationship between transformational leadership and change in team members in construction. arXiv. https://arxiv.org/abs/2305.13121
Jaselskis, E. J., & Ashley, D. B. (1991). Optimal allocation of project management resources for achieving success. Journal of Construction Engineering and Management, 117(2), 321–340. https://doi.org/10.1061/(ASCE)0733-9364(1991)117:2(321)
Larsson, J., Eriksson, P. E., Olofsson, T., & Simonsson, P. (2015). Leadership in civil engineering: Effects of project managers’ leadership styles on project performance. Journal of Management in Engineering, 31(6), 04015011. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000367
Lee, C., Chong, H., Liao, P., & Wang, X. (2017). Critical review of social network analysis applications in complex project management. Journal of Management in Engineering, 34(2), 04017001.https://doi.org/10.1061/(ASCE)ME.1943-5479.0000579
Leung, M., Chan, Y., & Olomolaiye, P. (2008). Impact of stress on the performance of construction project managers. Journal of Construction Engineering and Management, 134(8), 644–652. https://doi.org/10.1061/(ASCE)0733-9364(2008)134:8(644)
Liberatore, M. J., Pollack-Johnson, B., & Smith, C. A. (2001). Project management in construction: Software use and research directions. Journal of Construction Engineering and Management, 127(2), 101–107. https://doi.org/10.1061/(ASCE)0733-9364(2001)127:2(101)
Marion, T. J., & Fixson, S. K. (2020). The transformation of the innovation process: How digital tools are changing work, collaboration, and organizations in new product development. Journal of Product Innovation Management, 38(1), 192–215. https://doi.org/10.1111/jpim.12547
Owusu, E. K., Chan, A. P. C., & Shan, M. (2017). Causal factors of corruption in construction project management: An overview. Science and Engineering Ethics, 25(1), 1–31. https://doi.org/10.1007/s11948-017-0002-4
Pan, Y., & Mario, C. (2023). Integrating BIM and AI for smart construction management: Current status and future directions. Archives of Computational Methods in Engineering, 30(3), 1081–1110. https://doi.org/10.1007/s11831-022-09830-8
Pan, Y., & Zhang, L. (2020). Roles of artificial intelligence in construction engineering and management: A critical review and future trends. Automation in Construction, 122, 103517. https://doi.org/10.1016/j.autcon.2020.103517
Pariafsai, F., & Behzadan, A. H. (2021). Core competencies for construction project management: Literature review and content analysis. Journal of Civil Engineering Education, 147(4), 04021010. https://doi.org/10.1061/(ASCE)EI.2643-9115.0000051
Peña-Mora, F., & Dwivedi, G. H. (2002). Multiple device collaborative and real-time analysis system for project management in civil engineering. Journal of Computing in Civil Engineering, 16(1), 23–38. https://doi.org/10.1061/(ASCE)0887-3801(2002)16:1(23)
Pietroforte, R., & Aboulezz, M. A. (2005). ASCE Journal of Management in Engineering: Review of the years 1985–2002. Journal of Management in Engineering, 21(3), 125–130. https://doi.org/10.1061/(ASCE)0742-597X(2005)21:3(125)
Radujković, M., & Sjekavica, M. (2017). Project management success factors. Procedia Engineering, 196, 607–615. https://doi.org/10.1016/j.proeng.2017.08.067
Rebele, R. W., & Pierre, E. K. S. (2019).
A commentary on learning objectives for accounting education programs: The importance of soft skills and technical knowledge. Accounting Education, 28(2), 123–129.
https://doi.org/10.1080/09639284.2019.1585267
Salem, O., & Mohanty, S. (2008). Project management practices and information technology research. Journal of Construction Engineering and Management, 134(7), 501–508. https://doi.org/10.1061/(ASCE)0733-9364(2008)134:7(501)
Silvius, G., & Schipper, R. (2015). A conceptual model for exploring the relationship between sustainability and project success. Procedia Computer Science, 64, 334–342. https://doi.org/10.1016/j.procs.2015.08.497
Veshosky, D., & Egbers, J. H. (1991). Civil engineering project management game: Teaching with simulation. Journal of Professional Issues in Engineering Education and Practice, 117(3), 203–213. https://doi.org/10.1061/(ASCE)1052-3928(1991)117:3(203)
Wang, L., Chen, J., & Xue, Y. (2016). The application of big data in project management: Opportunities and challenges. Procedia Computer Science, 91, 679–684. https://doi.org/10.1016/j.procs.2016.07.152
Zhang, J., Xie, H., & Li, H. (2019). Improvement of students’ problem-solving skills through project execution planning in civil engineering and construction management education. Engineering, Construction and Architectural Management, 26(7), 1437–1454. https://doi.org/10.1108/ECAM-02-2018-0050
Zhu, H., Hwang, B., Ngo, J., & Tan, J. P. S. (2022). Applications of smart technologies in construction project management. Journal of Construction Engineering and Management, 148(4), 04022015. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002235