Processing, Please wait...

  • Home
  • About Us
  • Search:
  • Advanced Search

Growing Science » Journal of Project Management » Project risk assessment: A holistic risk identification, analysis and evaluation approach, The case of EPC projects

Journals

  • IJIEC (747)
  • MSL (2643)
  • DSL (668)
  • CCL (508)
  • USCM (1092)
  • ESM (413)
  • AC (562)
  • JPM (271)
  • IJDS (912)
  • JFS (91)
  • HE (32)
  • SCI (26)

JPM Volumes

    • Volume 1 (8)
      • Issue 1 (5)
      • Issue 2 (3)
    • Volume 2 (13)
      • Issue 1 (4)
      • Issue 2 (3)
      • Issue 3 (3)
      • Issue 4 (3)
    • Volume 3 (17)
      • Issue 1 (4)
      • Issue 2 (5)
      • Issue 3 (4)
      • Issue 4 (4)
    • Volume 4 (24)
      • Issue 1 (4)
      • Issue 2 (8)
      • Issue 3 (8)
      • Issue 4 (4)
    • Volume 5 (20)
      • Issue 1 (5)
      • Issue 2 (5)
      • Issue 3 (5)
      • Issue 4 (5)
    • Volume 6 (20)
      • Issue 1 (5)
      • Issue 2 (5)
      • Issue 3 (5)
      • Issue 4 (5)
    • Volume 7 (21)
      • Issue 1 (5)
      • Issue 2 (5)
      • Issue 3 (5)
      • Issue 4 (6)
    • Volume 8 (21)
      • Issue 1 (6)
      • Issue 2 (5)
      • Issue 3 (5)
      • Issue 4 (5)
    • Volume 9 (35)
      • Issue 1 (6)
      • Issue 2 (5)
      • Issue 3 (9)
      • Issue 4 (15)
    • Volume 10 (68)
      • Issue 1 (15)
      • Issue 2 (21)
      • Issue 3 (13)
      • Issue 4 (19)
    • Volume 11 (24)
      • Issue 1 (24)

Keywords

Supply chain management(166)
Jordan(161)
Vietnam(149)
Customer satisfaction(120)
Performance(113)
Supply chain(110)
Service quality(98)
Competitive advantage(95)
Tehran Stock Exchange(94)
SMEs(87)
optimization(86)
Financial performance(83)
Trust(83)
TOPSIS(83)
Sustainability(81)
Job satisfaction(80)
Factor analysis(78)
Social media(78)
Knowledge Management(77)
Artificial intelligence(77)


» Show all keywords

Authors

Naser Azad(82)
Mohammad Reza Iravani(64)
Zeplin Jiwa Husada Tarigan(63)
Endri Endri(45)
Muhammad Alshurideh(42)
Hotlan Siagian(39)
Jumadil Saputra(36)
Dmaithan Almajali(36)
Muhammad Turki Alshurideh(35)
Barween Al Kurdi(32)
Ahmad Makui(32)
Basrowi Basrowi(31)
Hassan Ghodrati(31)
Mohammad Khodaei Valahzaghard(30)
Sautma Ronni Basana(29)
Shankar Chakraborty(29)
Ni Nyoman Kerti Yasa(29)
Sulieman Ibraheem Shelash Al-Hawary(28)
Prasadja Ricardianto(28)
Haitham M. Alzoubi(27)


» Show all authors

Countries

Iran(2183)
Indonesia(1290)
India(787)
Jordan(786)
Vietnam(504)
Saudi Arabia(453)
Malaysia(441)
United Arab Emirates(220)
China(206)
Thailand(153)
United States(111)
Turkey(106)
Ukraine(104)
Egypt(98)
Canada(92)
Peru(88)
Pakistan(85)
United Kingdom(80)
Morocco(79)
Nigeria(78)


» Show all countries

Journal of Project Management

ISSN 2371-8374 (Online) - ISSN 2371-8366 (Print)
Quarterly Publication
Volume 10 Issue 2 pp. 283-300 , 2025

Project risk assessment: A holistic risk identification, analysis and evaluation approach, The case of EPC projects Pages 283-300 Right click to download the paper Download PDF

Authors: Mohammad Senisel Bachari, Mahdi Iranfar

DOI: 10.5267/j.jpm.2025.2.001

Keywords: Project risk management, Risk assessment, Risk evaluation framework, MCDM, EPC project

Abstract: This study presents a comprehensive framework for Project Risk Management (PRM), tailored specifically for Engineering, Procurement, and Construction (EPC) projects. Addressing gaps in traditional risk assessment methodologies, the proposed approach integrates advanced techniques for risk identification, analysis, and evaluation based on risk characteristics. A three-stage framework is proposed utilizing the Delphi method for risk identification and contextualization of risks, the risk analysis stage employs the Fuzzy Level-Based Weight Assessment (F-LBWA) method to achieve fuzzy weights for risk characteristics which the risks will be evaluated by. The final evaluation stage uses the Fuzzy Combined Compromise Solution (F-CoCoSo) method to rank risks, categorizing them as threats, opportunities, or hybrids. A case study of an EPC project demonstrates the framework’s practical application, highlighting construction-phase risks as the most critical threats (negative risks) while also emphasizing opportunities (positive risks) which can be exploited. By incorporating fuzzy logic and innovative Multi-Criteria Decision-Making (MCDM) methods, the framework provides a flexible and robust tool for modern PRM.



How to cite this paper
Bachari, M & Iranfar, M. (2025). Project risk assessment: A holistic risk identification, analysis and evaluation approach, The case of EPC projects.Journal of Project Management, 10(2), 283-300.

Refrences
Afzal, F., Yunfei, S., Nazir, M., & Bhatti, S. M. (2021). A review of artificial intelligence based risk assessment methods for capturing complexity-risk interdependencies. International Journal of Managing Projects in Business, 14(2), 300–328. https://doi.org/10.1108/IJMPB-02-2019-0047
Ahmed, A., Kayis, B., & Amornsawadwatana, S. (2007). A review of techniques for risk management in projects. Benchmarking: An International Journal, 14(1), 22–36. https://doi.org/10.1108/14635770710730919
Al Mhdawi, M. K. (2020). Proposed Risk Management Decision Support Methodology for Oil and Gas Construction Projects (pp. 407–420). https://doi.org/10.1007/978-981-15-1910-9_34
Al Qudah, S. M. A., Fuentes-Bargues, J. L., & Ferrer-Gisbert, P. S. (2024). Bibliometric analysis of the literature on risk management in the construction sector: Exploring current and future trends. Ain Shams Engineering Journal, 15(8), 102843. https://doi.org/10.1016/j.asej.2024.102843
Alomari, K., Gambatese, J., Nnaji, C., & Tymvios, N. (2020). Impact of Risk Factors on Construction Worker Safety: A Delphi Rating Study Based on Field Worker Perspective. Arabian Journal for Science and Engineering, 45(10), 8041–8051. https://doi.org/10.1007/s13369-020-04591-7
Askari, M., & Shokrizade, H. R. (2014). An Integrated Method for Ranking of Risk in BOT Projects. Procedia - Social and Behavioral Sciences, 109, 1390–1394. https://doi.org/10.1016/j.sbspro.2013.12.642
Aven, T. (2010). On how to define, understand and describe risk. Reliability Engineering & System Safety, 95(6), 623–631. https://doi.org/10.1016/j.ress.2010.01.011
Aven, T., Vinnem, J. E., & Wiencke, H. S. (2007). A decision framework for risk management, with application to the offshore oil and gas industry. Reliability Engineering & System Safety, 92(4), 433–448. https://doi.org/10.1016/j.ress.2005.12.009
Ayan, B., Abacıoğlu, S., & Basilio, M. P. (2023). A Comprehensive Review of the Novel Weighting Methods for Multi-Criteria Decision-Making. Information, 14(5), 285. https://doi.org/10.3390/info14050285
Bai, L., Shi, H., Kang, S., & Zhang, B. (2023). Project portfolio risk analysis with the consideration of project interdependencies. Engineering, Construction and Architectural Management, 30(2), 647–670. https://doi.org/10.1108/ECAM-06-2021-0555
Bajo, J., Borrajo, M. L., De Paz, J. F., Corchado, J. M., & Pellicer, M. A. (2012). A multi-agent system for web-based risk management in small and medium business. Expert Systems with Applications, 39(8), 6921–6931. https://doi.org/10.1016/j.eswa.2012.01.001
Boehm, B. W. (1991). Software risk management: principles and practices. IEEE Software, 8(1), 32–41. https://doi.org/10.1109/52.62930
Chakraborty, S., Zavadskas, E., & Antucheviciene, J. (2015). Applications of waspas method as a multi-criteria decision-making tool. Economic Computation and Economic Cybernetics Studies and Research / Academy of Economic Studies, 49, 5–22.
Chanamool, N., & Naenna, T. (2016). Fuzzy FMEA application to improve decision-making process in an emergency department. Applied Soft Computing, 43, 441–453. https://doi.org/10.1016/j.asoc.2016.01.007
Chatterjee, S., & Chakraborty, S. (2024). A comparative study on combined compromise solution (CoCoSo)-based optimization of drilling of aluminium metal matrix composites in fuzzy environments. International Journal on Interactive Design and Manufacturing (IJIDeM), 18(7), 4737–4763. https://doi.org/10.1007/s12008-024-01743-z
Chen, C., Zhang, L., & Tiong, R. L. K. (2020). A novel learning cloud Bayesian network for risk measurement. Applied Soft Computing, 87, 105947. https://doi.org/10.1016/j.asoc.2019.105947
Cheng, M., & Lu, Y. (2015). Developing a risk assessment method for complex pipe jacking construction projects. Automation in Construction, 58, 48–59. https://doi.org/10.1016/j.autcon.2015.07.011
Chicken, J., & Posner, T. (1998). The Philosophy of Risk. Thomas Telford.
Chou, J.-S., Liao, P.-C., & Yeh, C.-D. (2021). Risk Analysis and Management of Construction and Operations in Offshore Wind Power Project. Sustainability, 13(13), 7473. https://doi.org/10.3390/su13137473
Cooper, D. F., Grey, S., Raymond, G., & Phil, W. (2005). Project risk management guidelines : managing risk in large projects and complex procurements. J. Wiley.
Dong, T., Li, H., & Zhang, Z. (2023). The using effect of fuzzy analytic hierarchy process in project engineering risk management. Neural Computing and Applications. https://doi.org/10.1007/s00521-023-09046-2
Dranka, G. G., de Lima, J. D., Setti, D., Oliveira, G. A., Trentin, M. G., Sieminkoski Sirota, T. R., & Ferreira, P. (2025). Towards a rational framework for economic and risk assessment of energy efficiency projects. Sustainable Energy Technologies and Assessments, 73, 104090. https://doi.org/10.1016/j.seta.2024.104090
Erol, H., Dikmen, I., Atasoy, G., & Birgonul, M. T. (2022). An analytic network process model for risk quantification of mega construction projects. Expert Systems with Applications, 191, 116215. https://doi.org/10.1016/j.eswa.2021.116215
Fanjie, Y., Hui, Z., Haibin, X., Azhar, M. U., Yong, Z., & Fudong, C. (2022). Numerical simulation method for the process of rockburst. Engineering Geology, 306, 106760. https://doi.org/10.1016/j.enggeo.2022.106760
Ferreira de Araújo Lima, P., Crema, M., & Verbano, C. (2020). Risk management in SMEs: A systematic literature review and future directions. European Management Journal, 38(1), 78–94. https://doi.org/10.1016/j.emj.2019.06.005
Habibi, A., Sarafrazi, A., & Izadyar, S. (2014). Delphi Technique Theoretical Framework in Qualitative Research. The International Journal Of Engineering And Science, 3(4), 8–13.
He, X., & Zhang, W. (2024). An Efficient Scenario Reduction Method for Problems with Higher Moment Coherent Risk Measures. INFORMS Journal on Computing. https://doi.org/10.1287/ijoc.2022.0375
Hong, E.-S., Lee, I.-M., Shin, H.-S., Nam, S.-W., & Kong, J.-S. (2009). Quantitative risk evaluation based on event tree analysis technique: Application to the design of shield TBM. Tunnelling and Underground Space Technology, 24(3), 269–277. https://doi.org/10.1016/j.tust.2008.09.004
Hong Pham, L., & Hadikusumo, H. (2014). Schedule delays in engineering, procurement, and construction petrochemical projects in Vietnam. International Journal of Energy Sector Management, 8(1), 3–26. https://doi.org/10.1108/IJESM-06-2013-0009
Hong, Y., Pasman, H. J., Quddus, N., & Mannan, M. S. (2020). Supporting risk management decision making by converting linguistic graded qualitative risk matrices through interval type-2 fuzzy sets. Process Safety and Environmental Protection, 134, 308–322. https://doi.org/10.1016/j.psep.2019.12.001
IQBAL, S., CHOUDHRY, R. M., HOLSCHEMACHER, K., ALI, A., & TAMOŠAITIENĖ, J. (2015). RISK MANAGEMENT IN CONSTRUCTION PROJECTS. Technological and Economic Development of Economy, 21(1), 65–78. https://doi.org/10.3846/20294913.2014.994582
Islam, Md. A., Tedford, J. D., & Haemmerle, E. (2008). Managing operational risks in Small- and Medium-sized Enterprises (SMEs) engaged in manufacturing – an integrated approach. International Journal of Technology, Policy and Management, 8(4), 420. https://doi.org/10.1504/IJTPM.2008.020167
Jafari, M. J., Pouyakian, M., khanteymoori, A., & Hanifi, S. M. (2020). Reliability evaluation of fire alarm systems using dynamic Bayesian networks and fuzzy fault tree analysis. Journal of Loss Prevention in the Process Industries, 67, 104229. https://doi.org/10.1016/j.jlp.2020.104229
Jensen, A., Thuesen, C., & Geraldi, J. (2016). The Projectification of Everything: Projects as a Human Condition. Project Management Journal, 47(3), 21–34. https://doi.org/10.1177/875697281604700303
Kassem, M. A. (2022). Risk Management Assessment in Oil and Gas Construction Projects Using Structural Equation Modeling (PLS-SEM). Gases, 2(2), 33–60. https://doi.org/10.3390/gases2020003
Kherde, R. V., More, K. C., & Sawant, P. H. (2024). An evaluation of project risk in Indian infrastructural projects using interpretative structural modeling. Asian Journal of Civil Engineering, 25(4), 3481–3493. https://doi.org/10.1007/s42107-024-00991-4
Korucuk, S., Aytekin, A., Ecer, F., Pamucar, D. S. S., & Karamaşa, Ç. (2023). Assessment of ideal smart network strategies for logistics companies using an integrated picture fuzzy LBWA–CoCoSo framework. Management Decision, 61(5), 1434–1462. https://doi.org/10.1108/MD-12-2021-1621
Koulinas, G. K., Demesouka, O. E., Sidas, K. A., & Koulouriotis, D. E. (2021). A TOPSIS—Risk Matrix and Monte Carlo Expert System for Risk Assessment in Engineering Projects. Sustainability, 13(20), 11277. https://doi.org/10.3390/su132011277
Liberati, A., Altman, D., Tetzlaff, J., Mulrow, C., Gøtzsche, P., Ioannidis, J., Clarke, M., Devereaux, P. J., 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. Journal of Clinical Epidemiology, 62, e1-34. https://doi.org/10.1016/j.jclinepi.2009.06.006
Lin, S.-S., Zhou, A., & Shen, S.-L. (2024). Multi-status Bayesian network for analyzing collapse risk of excavation construction. Automation in Construction, 158, 105193. https://doi.org/10.1016/j.autcon.2023.105193
Liu, H.-C., Chen, X.-Q., Duan, C.-Y., & Wang, Y.-M. (2019). Failure mode and effect analysis using multi-criteria decision making methods: A systematic literature review. Computers & Industrial Engineering, 135, 881–897. https://doi.org/10.1016/j.cie.2019.06.055
Lv, X., Li, X., Shen, Z., & Jia, D. (2024). Project portfolio selection considering the hindrance to risk propagation: a dual-objective optimization approach. Soft Computing, 28(20), 11945–11969. https://doi.org/10.1007/s00500-024-09929-z
Ma, H.-L., & Wong, W.-H. C. (2018). A fuzzy-based House of Risk assessment method for manufacturers in global supply chains. Industrial Management & Data Systems, 118(7), 1463–1476. https://doi.org/10.1108/IMDS-10-2017-0467
Miller, R., & Lessard, D. (2001). Understanding and managing risks in large engineering projects. International Journal of Project Management, 19(8), 437–443. https://doi.org/10.1016/S0263-7863(01)00045-X
Modarres, M. (2016). Risk Analysis in Engineering. CRC Press. https://doi.org/10.1201/b21429
Moniri, M. R., Alem Tabriz, A., Ayough, A., & Zandieh, M. (2021). Turnaround project risk assessment using hybrid fuzzy SWARA and EDAS method: case of upstream oil process industries in Iran. Journal of Engineering, Design and Technology, 19(4), 966–988. https://doi.org/10.1108/JEDT-07-2020-0287
Moshood, T. D., Rotimi, J. OB., Shahzad, W., & Bamgbade, J. A. (2024). Infrastructure digital twin technology: A new paradigm for future construction industry. Technology in Society, 77, 102519. https://doi.org/10.1016/j.techsoc.2024.102519
Nasirzadeh, F., Ghasem Kashi, M., Khanzadi, M., Carmichael, D. G., & Akbarnezhad, A. (2019). A hybrid approach for quantitative assessment of construction projects risks: The case study of poor quality concrete. Computers & Industrial Engineering, 131, 306–319. https://doi.org/10.1016/j.cie.2019.03.045
Nielsen, J. S., Chilton, S., & Metcalf, H. (2019). Improving the risk–risk trade-off method for use in safety project appraisal responses. Environmental Economics and Policy Studies, 21(1), 61–86. https://doi.org/10.1007/s10018-018-0222-0
Nurgaliev, T., Koshelev, V., & Müller, J. (2023). Risk Analysis of the Biogas Project. BioEnergy Research, 16(4), 2574–2589. https://doi.org/10.1007/s12155-023-10583-w
Ogundoyin, S. O., & Kamil, I. A. (2023). An integrated Fuzzy-BWM, Fuzzy-LBWA and V-Fuzzy-CoCoSo-LD model for gateway selection in fog-bolstered Internet of Things. Applied Soft Computing, 143, 110393. https://doi.org/10.1016/j.asoc.2023.110393
Pamucar, D., Deveci, M., Canıtez, F., & Lukovac, V. (2020). Selecting an airport ground access mode using novel fuzzy LBWA-WASPAS-H decision making model. Engineering Applications of Artificial Intelligence, 93, 103703. https://doi.org/10.1016/j.engappai.2020.103703
Pamucar, D., & Faruk Görçün, Ö. (2022). Evaluation of the European container ports using a new hybrid fuzzy LBWA-CoCoSo’B techniques. Expert Systems with Applications, 203, 117463. https://doi.org/10.1016/j.eswa.2022.117463
Paneru, S., & Jeelani, I. (2021). Computer vision applications in construction: Current state, opportunities & challenges. Automation in Construction, 132, 103940. https://doi.org/10.1016/j.autcon.2021.103940
Petticrew, M., & Roberts, H. (2006). Systematic Reviews in the Social Sciences: A Practical Guide. In Systematic Reviews in the Social Sciences: A Practical Guide (Vol. 11). https://doi.org/10.1002/9780470754887
PMI. (2000). A Guide to the Project Management Body of Knowledge (PMBOK Guide) -- 2000 Edition. Project Management Institute.
PMI. (2017). Guide to the project management body of knowledge (PMBOK® guide) (6th edition) (6th ed.). Project Management Institute.
Rafiee, M., Kianfar, F., & Farhadkhani, M. (2014). A multistage stochastic programming approach in project selection and scheduling. The International Journal of Advanced Manufacturing Technology, 70(9–12), 2125–2137. https://doi.org/10.1007/s00170-013-5362-6
Raja, M. N. A., Abdoun, T., & El-Sekelly, W. (2024). Exploring the Potential of Machine Learning in Stochastic Reliability Modelling for Reinforced Soil Foundations. Buildings, 14(4), 954. https://doi.org/10.3390/buildings14040954
Resende, B. A. de, Dedini, F. G., Eckert, J. J., Sigahi, T. F. A. C., Pinto, J. de S., & Anholon, R. (2024). Proposal of a facilitating methodology for fuzzy FMEA implementation with application in process risk analysis in the aeronautical sector. International Journal of Quality & Reliability Management, 41(4), 1063–1088. https://doi.org/10.1108/IJQRM-07-2023-0237
Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega, 53, 49–57. https://doi.org/10.1016/j.omega.2014.11.009
Saaty, T. L. (1988). Some Mathematical Topics in the Analytic Hierarchy Process. In Mathematical Models for Decision Support (pp. 89–107). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-83555-1_4
Sangroungrai, S., Sukchareonpong, P., & Witchakul, S. (2018). Engineering, procurement and construction (EPC) project management for reducing cost and time: A case study of petrochemical plant. 2018 5th International Conference on Business and Industrial Research (ICBIR), 402–406. https://doi.org/10.1109/ICBIR.2018.8391230
Santos, S. M. G., Gaspar, A. T. F. S., & Schiozer, D. J. (2017). Risk management in petroleum development projects: Technical and economic indicators to define a robust production strategy. Journal of Petroleum Science and Engineering, 151, 116–127. https://doi.org/10.1016/j.petrol.2017.01.035
Schoper, Y.-G., Wald, A., Ingason, H. T., & Fridgeirsson, T. V. (2018). Projectification in Western economies: A comparative study of Germany, Norway and Iceland. International Journal of Project Management, 36(1), 71–82. https://doi.org/10.1016/j.ijproman.2017.07.008
Seiti, H., & Hafezalkotob, A. (2019). Developing the R-TOPSIS methodology for risk-based preventive maintenance planning: A case study in rolling mill company. Computers & Industrial Engineering, 128, 622–636. https://doi.org/10.1016/j.cie.2019.01.012
Selva, J., Argyroudis, S., Cotton, F., Esposito, S., Iqbal, S. M., Lorito, S., Stojadinovic, B., Basili, R., Hoechner, A., Mignan, A., Pitilakis, K., Thio, H. K., & Giardini, D. (2024). A novel multiple-expert protocol to manage uncertainty and subjective choices in probabilistic single and multi-hazard risk analyses. International Journal of Disaster Risk Reduction, 110, 104641. https://doi.org/10.1016/j.ijdrr.2024.104641
Serrador, P., & Turner, R. (2015). The Relationship between Project Success and Project Efficiency. Project Management Journal, 46(1), 30–39. https://doi.org/10.1002/pmj.21468
Seyedhoseini, S. M., Noori, S., & Hatefi, M. A. (2009). An Integrated Methodology for Assessment and Selection of the Project Risk Response Actions. Risk Analysis, 29(5), 752–763. https://doi.org/10.1111/j.1539-6924.2008.01187.x
Shafiee, M., & Dinmohammadi, F. (2014). An FMEA-Based Risk Assessment Approach for Wind Turbine Systems: A Comparative Study of Onshore and Offshore. Energies, 7(2), 619–642. https://doi.org/10.3390/en7020619
Sharma, S., & Gupta, A. K. (2019). Risk Identification and Management in Construction Projects: Literature Review. International Journal of Humanities, Arts and Social Sciences, 5(6), 224–231. https://doi.org/10.20469/ijhss.5.20002-6
Shen, T., Nagai, Y., & Gao, C. (2020). Design of building construction safety prediction model based on optimized BP neural network algorithm. Soft Computing, 24(11), 7839–7850. https://doi.org/10.1007/s00500-019-03917-4
Sun, Y., Zhou, Z., Li, Q., & He, H. (2025). A novel risk assessment method for advanced and environmentally friendly construction technologies integrating RBM and I-OPA. Alexandria Engineering Journal, 113, 648–660. https://doi.org/10.1016/j.aej.2024.11.059
Szymański, P. (2017). Risk management in construction projects. Procedia Engineering, 208, 174–182. https://doi.org/10.1016/j.proeng.2017.11.036
Taghi Zadeh, M., Dehghan, R., Ruwanpura, J., & Jergeas, G. (2016). An Index to Assess Project Management Competencies in Managing Design Changes. International Journal of Construction Engineering and Management, 2016, 11–24. https://doi.org/10.5923/j.ijcem.20160501.02
Taherdoost, H., & Madanchian, M. (2023). Multi-Criteria Decision Making (MCDM) Methods and Concepts. Encyclopedia, 3(1), 77–87. https://doi.org/10.3390/encyclopedia3010006
Taylan, O., Bafail, A. O., Abdulaal, R. M. S., & Kabli, M. R. (2014). Construction projects selection and risk assessment by fuzzy AHP and fuzzy TOPSIS methodologies. Applied Soft Computing, 17, 105–116. https://doi.org/10.1016/j.asoc.2014.01.003
Torkayesh, A. E., Pamucar, D., Ecer, F., & Chatterjee, P. (2021). An integrated BWM-LBWA-CoCoSo framework for evaluation of healthcare sectors in Eastern Europe. Socio-Economic Planning Sciences, 78, 101052. https://doi.org/10.1016/j.seps.2021.101052
Turner, J., Anbari, F., & Bredillet, C. (2013). Perspectives on research in project management: the nine schools. Global Business Perspectives, 1. https://doi.org/10.1007/s40196-012-0001-4
van Dorp, J. R., & Shittu, E. (2023). The Generalized Two-Sided Beta Distribution with Applications in Project Risk Analysis. Journal of Statistical Theory and Practice, 17(3), 38. https://doi.org/10.1007/s42519-023-00335-6
Verbano, C., & Venturini, K. (2011). Development paths of risk management: approaches, methods and fields of application. Journal of Risk Research, 14(5), 519–550. https://doi.org/10.1080/13669877.2010.541562
Wang, T., Gao, S., Liao, P., Ganbat, T., & Chen, J. (2021). A stakeholder-based risk assessment and intervention framework for international construction projects. International Journal of Managing Projects in Business, 14(2), 345–368. https://doi.org/10.1108/IJMPB-08-2018-0166
Yahya, L. M. (2023). Effect of Modern Technologies of Energy Conservation on Forming High–Rise Buildings. Journal of Sustainability for Energy, 2(3), 119–131. https://doi.org/10.56578/jse020302
Yang, L., & Li, Q. (2024). CoCoSo framework for multi-attribute decision-making with triangular fuzzy neutrosophic sets: “Innovation and entrepreneurship” evaluation case. International Journal of Knowledge-Based and Intelligent Engineering Systems, 28(2), 263–277. https://doi.org/10.3233/KES-230298
Yazdani, M., Zarate, P., Kazimieras Zavadskas, E., & Turskis, Z. (2019). A combined compromise solution (CoCoSo) method for multi-criteria decision-making problems. Management Decision, 57(9), 2501–2519. https://doi.org/10.1108/MD-05-2017-0458
Yepifanova, I., & Dzhedzhula, V. (2022). THE PLACE OF THE PROJECT MANAGEMENT PROCESS IN THE STRATEGY OF BUSINESS DEVELOPMENT. Innovation and Sustainability, 8–13. https://doi.org/10.31649/ins.2022.3.8.13
Yousri, E., Sayed, A. E. B., Farag, M. A. M., & Abdelalim, A. M. (2023). Risk Identification of Building Construction Projects in Egypt. Buildings, 13(4), 1084. https://doi.org/10.3390/buildings13041084
Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338–353. https://doi.org/10.1016/S0019-9958(65)90241-X
Zamri Zakaria, Md Nazri Othman, Hidayat Zainuddin, Mohd Jahidi Rosdi, & Alaa Razzaq Khallawi. (2024). Systematic Review of Risks in Energy Performance Contracting (EPC) Projects. Journal of Advanced Research in Applied Sciences and Engineering Technology, 48(2), 235–250. https://doi.org/10.37934/araset.48.2.235250
Zayed, T., Amer, M., & Pan, J. (2008). Assessing risk and uncertainty inherent in Chinese highway projects using AHP. International Journal of Project Management, 26(4), 408–419. https://doi.org/10.1016/j.ijproman.2007.05.012
Zermane, A., Mohd Tohir, M. Z., Baharudin, M. R., & Mohamed Yusoff, H. (2022). Risk assessment of fatal accidents due to work at heights activities using fault tree analysis: Case study in Malaysia. Safety Science, 151, 105724. https://doi.org/10.1016/j.ssci.2022.105724
Zhang, P., Zhang, Z.-J., & Gong, D.-Q. (2024). An improved failure mode and effect analysis method for group decision-making in utility tunnels construction project risk evaluation. Reliability Engineering & System Safety, 244, 109943. https://doi.org/10.1016/j.ress.2024.109943
Zhang, W., Zhang, J., Luo, J., Lin, Y., & Zhu, Y. (2022). Risk Assessment Study on Mechanical Connecting Aisle Construction in the Bohai Mudstone Stratum with High Water Pressure. Geofluids, 2022, 1–14. https://doi.org/10.1155/2022/5694309
Zhang, Y., Liu, J., Xie, X., Wang, C., & Bai, L. (2023). Modeling of Project Portfolio Risk Evolution and Response under the Influence of Interactions. Mathematics, 11(19), 4091. https://doi.org/10.3390/math11194091
Zheng, Q. (2024). Project financing risk evaluation based on Bayesian network. Multimedia Tools and Applications, 83(27), 69849–69861. https://doi.org/10.1007/s11042-024-18308-7
Zhu, M., Zhou, W., & Duan, C. (2024). Integrating FMEA and fuzzy super-efficiency SBM for risk assessment of crowdfunding project investment. Soft Computing, 28(3), 2563–2575. https://doi.org/10.1007/s00500-023-08534-w
Zid, C., & Soomro, A. (2016). Facilitate Risk Management in Construction Process by Using Hierarchical Risk Breakdown Structure. International Journal of Scientific & Technology Research, 6, ISSN 2250-3153.
Žižovic, M., & Pamucar, D. (2019). New model for determining criteria weights: Level based weight assessment (lbwa) model. Decision Making: Applications in Management and Engineering, 2(2), 126–137. https://doi.org/10.31181/dmame1902102z
Zwikael, O., & Smyrk, J. R. (2019). What Roles Do Projects Serve in Business? In Project Management (pp. 3–13). Springer International Publishing. https://doi.org/10.1007/978-3-030-03174-9_1
  • 0
  • 1
  • 2
  • 3
  • 4
  • 5

Journal: Journal of Project Management | Year: 2025 | Volume: 10 | Issue: 2 | Views: 1983 | Reviews: 0

Related Articles:
  • Risk management in Egyptian construction: Comparative analysis of general a ...
  • Applying TOPSIS to selecting business accounting software: A case study at ...
  • A risk management model for large projects in the construction phase in Egy ...
  • A new hybrid method for selecting the best project manager: TODIM-FSE and B ...
  • An application of fuzzy BWM for risk assessment in offshore oil projects

Add Reviews

Name:*
E-Mail:
Review:
Bold Italic Underline Strike | Align left Center Align right | Insert smilies Insert link URLInsert protected URL Select color | Add Hidden Text Insert Quote Convert selected text from selection to Cyrillic (Russian) alphabet Insert spoiler
winkwinkedsmileam
belayfeelfellowlaughing
lollovenorecourse
requestsadtonguewassat
cryingwhatbullyangry
Security Code: *
Include security image CAPCHA.
Refresh Code

® 2010-2026 GrowingScience.Com