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
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