TY  - JOUR
T1  - Mapping Two Decades of Construction Risk Management: A Scientometric Study of Global Trends, Gaps, and Thematic Evolution
TT  - Mapping Two Decades of Construction Risk Management: A Scientometric Study of Global Trends, Gaps, and Thematic Evolution
AU  - Varolgüneş, Sadık
PY  - 2025
DA  - November
Y2  - 2025
DO  - 10.34248/bsengineering.1734348
JF  - Black Sea Journal of Engineering and Science
JO  - BSJ Eng. Sci.
PB  - Karyay Karadeniz Yayımcılık Ve Organizasyon Ticaret Limited Şirketi
WT  - DergiPark
SN  - 2619-8991
SP  - 1943
EP  - 1956
VL  - 8
IS  - 6
LA  - en
AB  - This study conducts an original, data-driven bibliometric investigation into the evolution of construction risk management (CRM) research between 2002 and 2024. Drawing on a dataset of 778 peer-reviewed publications retrieved from the Web of Science Core Collection, the study utilizes VOSviewer and Biblioshiny to empirically map publication trends, thematic clusters, and regional distributions. A key contribution of the research is the development of a four-phase thematic evolution model that illustrates the transition from conventional risk classification approaches to integrated frameworks incorporating advanced technologies such as Artificial Intelligence (AI), Building Information Modelling (BIM), and Environmental, Social, and Governance (ESG) principles. The analysis reveals three dominant thematic axes: methodological innovations in risk assessment, technological advancement in digital integration, and socio-political dynamics in stakeholder governance. Despite the increasing academic emphasis on data-driven approaches, persistent regional disparities and implementation gaps remain, particularly in underrepresented regions such as Sub-Saharan Africa and South Asia. The study also uncovers the fragmented integration of ESG dimensions across literature, suggesting the need for more coherent and context-sensitive risk models. By offering a longitudinal and spatial synthesis of global knowledge production, this research enhances our understanding of how CRM has evolved and where critical research gaps persist. The findings aim to inform future efforts toward inclusive, resilient, and adaptable risk management strategies in the construction sector.
KW  - ESG integration
KW  - Risk perception
KW  - Thematic mapping
KW  - Regional disparities
KW  - Stakeholder governance
KW  - Construction sector
N2  - This study conducts an original, data-driven bibliometric investigation into the evolution of construction risk management (CRM) research between 2002 and 2024. Drawing on a dataset of 778 peer-reviewed publications retrieved from the Web of Science Core Collection, the study utilizes VOSviewer and Biblioshiny to empirically map publication trends, thematic clusters, and regional distributions. A key contribution of the research is the development of a four-phase thematic evolution model that illustrates the transition from conventional risk classification approaches to integrated frameworks incorporating advanced technologies such as Artificial Intelligence (AI), Building Information Modelling (BIM), and Environmental, Social, and Governance (ESG) principles. The analysis reveals three dominant thematic axes: methodological innovations in risk assessment, technological advancement in digital integration, and socio-political dynamics in stakeholder governance. Despite the increasing academic emphasis on data-driven approaches, persistent regional disparities and implementation gaps remain, particularly in underrepresented regions such as Sub-Saharan Africa and South Asia. The study also uncovers the fragmented integration of ESG dimensions across literature, suggesting the need for more coherent and context-sensitive risk models. By offering a longitudinal and spatial synthesis of global knowledge production, this research enhances our understanding of how CRM has evolved and where critical research gaps persist. The findings aim to inform future efforts toward inclusive, resilient, and adaptable risk management strategies in the construction sector.
CR  - Akintoye AS, MacLeod MJ. 1997. Risk analysis and management in construction. Int J Project Manag, 15(1): 31-38. https://doi.org/10.1016/S0263-7863(96)00035-X
CR  - Al Qudah SMA, Fuentes-Bargues JL, Ferrer-Gisbert PS. 2024. Bibliometric analysis of the literature on risk management in the construction sector: Exploring current and future trends. Ain Shams Eng J, 15(8): 102843 https://doi.org/10.1016/J.ASEJ.2024.102843
CR  - Aria M, Cuccurullo C. 2017. Bibliometrix: An R-tool for comprehensive science mapping analysis. J Informet, 11(4): 959-975. https://doi.org/10.1016/J.JOI.2017.08.007
CR  - Chenya L, Aminudin E, Mohd S, Yap LS. 2022. Intelligent Risk Management in construction projects: Systematic literature review. IEEE Access, 10: 72936-72954. https://doi.org/10.1109/ACCESS.2022.3189157
CR  - Dey PK. 2010. Managing project risk using combined analytic hierarchy process and risk map. Applied Soft Comput J, 10(4): 990-1000. https://doi.org/10.1016/j.asoc.2010.03.010
CR  - Dikmen I, Birgonul MT, Han S. 2007. Using fuzzy risk assessment to rate cost overrun risk in international construction projects. Int J Project Manag, 25(5): 494-505.  https://doi.org/10.1016/J.IJPROMAN.2006.12.002
CR  - El-Sayegh SM. 2008. Risk assessment and allocation in the UAE construction industry. Int J Project Manag, 26(4): 431-438. https://doi.org/10.1016/j.ijproman.2007.07.004
CR  - Hwang BG, Zhao X, Toh LP. 2014. Risk management in small construction projects in Singapore: Status, barriers and impact. Int J Project Manag, 32(1): 116-124. https://doi.org/10.1016/j.ijproman.2013.01.007
CR  - José de Oliveira O, Francisco da Silva F, Juliani F, César Ferreira Motta Barbosa L, Vieira Nunhes T. 2019. Bibliometric method for mapping the state-of-the-art and identifying research gaps and trends in literature: An Essential instrument to support the development of scientific projects. In:. Kunosic S, Zerem E editors, Scientometrics Recent Advances (1st ed.). IntechOpen. https://doi.org/http://dx.doi.org/10.5772/intechopen.85856
CR  - Junjia Y, Alias AH, Haron NA, Abu Bakar N. 2023. A Bibliometric review on safety risk assessment of construction based on CiteSpace software and WoS database. Sustainability, 15(15): 11803. https://doi.org/10.3390/su151511803
CR  - Khodabakhshian A, Puolitaival T, Kestle L. 2023. Deterministic and probabilistic risk management approaches in construction projects: A Systematic literature review and comparative analysis. Buildings, 13(5): 1312. https://doi.org/10.3390/buildings13051312
CR  - Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gøtzsche PC, Ioannidis JPA, Clarke M, Devereaux PJ, Kleijnen J, Moher D. 2009. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: Explanation and elaboration. Annals Internal Medic, 151(4). https://doi.org/10.7326/0003-4819-151-4-200908180-00136
CR  - Loosemore M, Al Muslmani HS. 1999. Construction project management in the Persian Gulf: inter-cultural communication. Int J Project Manag, 17(2): 95-100.
CR  - Mesa Fernández JM, González Moreno JJ, Vergara-González EP, Alonso Iglesias G. 2022. Bibliometric analysis of the application of artificial intelligence techniques to the management of innovation projects. Appl Sci, 12(22): 11743. https://doi.org/10.3390/app122211743
CR  - Moher D, Liberati A, Tetzlaff J, Altman DG, Antes G, Atkins D, Barbour V, Barrowman N, Berlin JA, Clark J, Clarke M, Cook D, D’Amico R, Deeks JJ, Devereaux PJ, Dickersin K, Egger M, Ernst E, Gøtzsche PC, Tugwell P. 2009. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Annals Internal Medic, 151(4): 264-269.  https://doi.org/10.7326/0003-4819-151-4-200908180-00135
CR  - Rifai AI, Rio PS, Indrastuti I, Prasetijo J. 2024. A bibliometric analysis of risk management in road construction project. J Sustain Devel Innov, 1(4): 151-157. https://doi.org/10.61552/JSI.2024.04.003
CR  - Smith NJ, Merna T, Jobling P. 2006. Managing Risk in Construction Projects. URL:  https://books.google.com.tr/books?hl=tr&lr=&id=2YQKAgAAQBAJ&oi=fnd&pg=PR11&dq=Oxford:+Blackwell+Publishing,+Managing+risk+in+construction+projects&ots=S3FHnsy2nB&sig=-S3ar9SkHf_Da0jakj-BLBK5t0c&redir_esc=y#v=onepage&q&f=false (accessed date: May 10, 2025).
CR  - Tang W, Qiang M, Duffield CF, David, Young M, Lu Y. 2007. Risk management in the chinese construction industry. Int J Construct Eng Manag, 133(12): 944-956.
CR  - Umeokafor N, Umar T, Evangelinos K. 2022. Bibliometric and scientometric analysis-based review of construction safety and health research in developing countries from 1990 to 2021. Safety Sci, 156(1): 105897.  https://doi.org/10.1016/J.SSCI.2022.105897
CR  - van Eck NJ, Waltman L. 2010. Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2): 523-538. https://doi.org/10.1007/s11192-009-0146-3
CR  - Victory J, Irfan Rifai A, Isradi M. 2024. Bibliometric analysis of health and safety risk management in highrise building construction. Asian J Eng Soc Health, 3(7): 1488-1498.
CR  - Viswanathan SK, Jha KN. 2019. Factors influencing international market selection for Indian construction firms. J Manag Eng, 35(5): 05019006. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000703
CR  - Viswanathan SK, Jha KN. 2020. Critical risk factors in international construction projects: An Indian perspective. Eng Construct Architect Manag, 27(5): 1169-1190. https://doi.org/10.1108/ECAM-04-2019-0220
CR  - Wang SQ, Dulaimi MF, Aguria MY. 2004. Risk management framework for construction projects in developing countries. Construct Manag Econ, 22(3): 237-252. https://doi.org/10.1080/0144619032000124689
CR  - Wen S, Tang H, Ying F, Wu G. 2023. Exploring the global research trends of supply chain management of construction projects based on a bibliometric analysis: Current status and future prospects. Buildings, 13(2): 373. https://doi.org/10.3390/buildings13020373
CR  - Zou PXW, Zhang G, Wang J. 2007. Understanding the key risks in construction projects in China. Int J Project Manag, 25(6): 601-614. https://doi.org/10.1016/J.IJPROMAN.2007.03.001
UR  - https://doi.org/10.34248/bsengineering.1734348
L1  - https://dergipark.org.tr/tr/download/article-file/5020937
ER  -