Adeleke, A. Q., Ajibike, W. A., Muuka, G. N., Darun, M. R., and Moshood, T. D. (2021). Managing
External Risk Factors on Oil and Gas Project Success: A Dream for All Firms. ASCE-ASME
Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 7(4),
04021063.
Agarwal, P., Sahai, M., Mishra, V., Bag, M., and Singh, V. (2011). A review of multi-criteria
decision making techniques for supplier evaluation and selection. International Journal
of Industrial Engineering Computations, 2(4), 801–810.
Alsuliman, J. A. (2019). Causes of delay in Saudi public construction projects. Alexandria Engineering
Journal, 58(2), 801–808.
Amarkhil, Q., Elwakil, E., and Hubbard, B. (2021). A meta-analysis of critical causes of project delay
using spearman’s rank and relative importance index integrated approach. Canadian Journal of
Civil Engineering, 99(999), 1–10.
Amoatey, C. T. and Ankrah, A. N. O. (2017). Exploring critical road project delay factors in Ghana.
Journal of Facilities Management.
Asheghi-Oskooee, H., Ramezanzadeh, M., and Maleki, M. H. (2021). Religious Tourism Development
Strategies in Qom Province: Using and Comparing QSPM and Best Worst Methods. The
International Journal of Religious Tourism and Pilgrimage, 8(8), 30–41.
Bahrami, A. and Maleki, M. H. (2016). Selecting Suitable Educational Institutes for Outsourcing
Process Based on Comprehensive Approach of ANPBOCR (Case Study: Qom University).
Carlier, S., Hustache, J. C., Jelinek, F., Dunlop, R., and Note, E. E. C. (2006). Project gas-environmental
impact of delay. EUROCONTROL Experimental Centre, Rept. EEC/SEE/2006/006.
Carstens, D. S. and Richardson, G. L. (2019). Project Management Tools And Techniques: A Practical
Guide. CRC Press.
Dedania, H. V., Shah, V. R., and Sanghvi, R. C. (2015). Portfolio management: Stock ranking by
multiple attribute decision making methods. Technology and Investment, 6(04), 141.
Ebrat, M. and Ghodsi, R. (2014). Construction project risk assessment by using adaptive-network-based
fuzzy inference system: An empirical study. KSCE Journal of Civil Engineering, 18(5), 1213–
1227.
Fashina, A. A., Fakunle, F. F., and Omar, M. A. (2020). A study on the effects of construction project
delays in Somaliland construction industry. J. Manag. Econ. Indust. Organ.
Fathi, M. R., Maleki, M. H., Boroomand, M., and Koksal, C. D. (2019). Strategic Planning of Tourism
with an emphasis on Spirituality Based on New Integration of Multi-Criteria Decision-Making
Techniques. International Journal of Tourism, Culture and Spirituality, 4(1), 93–123.
Gholami, I., Rayanpour, E. (2016). Evaluation and analysis of delays caused by the contractor and the
employer in the project of widening and improving the Sefid-Ghaemshahr bridge axis, 2nd
International Conference on Research in Science and Technology, Turkey, Istanbul.
Ghorabaee, M. K., Amiri, M., Zavadskas, E. K., Hooshmand, R., and Antuchevičienė, J. (2017). Fuzzy
extension of the CODAS method for multi-criteria market segment evaluation. Journal of
Business Economics and Management, 18(1), 1–19.
Gondia, A., Siam, A., El-Dakhakhni, W., and Nassar, A. H. (2020). Machine learning algorithms for
construction projects delay risk prediction. Journal of Construction Engineering and
Management, 146(1), 04019085.
Govindan, K., Rajendran, S., Sarkis, J., and Murugesan, P. (2015). Multi criteria decision making
approaches for green supplier evaluation and selection: a literature review. Journal of Cleaner
Production, 98, 66–83.
108 Petroleum Business Review, Vol. 7 (2023), No. 3
Guan, L., Abbasi, A., and Ryan, M. J. (2020). Analyzing green building project risk interdependencies
using Interpretive Structural Modeling. Journal of Cleaner Production, 256, 120372.
Hatmoko, J. U. D. and Khasani, R. R. (2019, August). Mapping delay risks of EPC projects: a case
study of a platform and subsea pipeline of an oil and gas project. In IOP Conference Series:
Materials Science and Engineering (Vol. 598, No. 1, p. 012095). IOP Publishing.
Honari Choobar, F., Nazari, A., and Rezaee Nik, E. (2012). Power plant project risk assessment using
a fuzzy-ANP and fuzzy-TOPSIS method. International Journal of Engineering, 25(2), 107–120.
Islam, M. S., Nepal, M. P., Skitmore, M., and Kabir, G. (2019). A knowledge-based expert system to
assess power plant project cost overrun risks. Expert Systems with Applications, 136, 12–32.
Jena, R. and Pradhan, B. (2020). Integrated ANN-cross-validation and AHP-TOPSIS model to improve
earthquake risk assessment. International Journal of Disaster Risk Reduction, 50, 101723.
Kahraman, C., Keshavarz Ghorabaee, M., Zavadskas, E. K., Cevik Onar, S., Yazdani, M., and Oztaysi,
B. (2017). Intuitionistic fuzzy EDAS method: an application to solid waste disposal site selection.
Journal of Environmental Engineering and Landscape Management, 25(1), 1–12.
Karami, M., Samimi, A., and Jafari, M. (2020). The necessity of risk management evaluations in
petrochemical industries. Advanced Journal of Chemistry-Section B, 2(3), 151–158.
Kendrick, T. (2015). Identifying and Managing Project Risk: Essential Tools for Failure-Proofing your
Project. Amacom.
Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., and Turskis, Z. (2015). Multi-criteria inventory
classification using a new method of evaluation based on distance from average solution (EDAS).
Informatica, 26(3), 435–451.
Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., and Antucheviciene, J. (2016). A new
combinative distance-based assessment (CODAS) method for multi-criteria decision-making.
Economic Computation and Economic Cybernetics Studies and Research, 50(3).
Keshavarz-Ghorabaee, M., Amiri, M., Zavadskas, E. K., Turskis, Z., and Antucheviciene, J. (2018).
Simultaneous evaluation of criteria and alternatives (SECA) for multi-criteria decision-making.
Informatica, 29(2), 265–280.
Koulinas, G. K., Demesouka, O. E., Sidas, K. A., and Koulouriotis, D. E. (2021). A TOPSIS—risk
matrix and Monte Carlo expert system for risk assessment in engineering projects. Sustainability,
13(20), 11277.
Koulinas, G. K., Xanthopoulos, A. S., Tsilipiras, T. T., and Koulouriotis, D. E. (2020). Schedule delay
risk analysis in construction projects with a simulation-based expert system. Buildings, 10(8),
134.
Lei, F., Wei, G., and Chen, X. (2021). Model‐based evaluation for online shopping platform with
probabilistic double hierarchy linguistic CODAS method. International Journal of Intelligent
Systems, 36(9), 5339–5358.
Liu, H. C., Wang, L. E., Li, Z., and Hu, Y. P. (2018). Improving risk evaluation in FMEA with cloud
model and hierarchical TOPSIS method. IEEE Transactions on Fuzzy Systems, 27(1), 84–95.
Liu, J., Meng, F., and Fellows, R. (2015). An exploratory study of understanding project risk
management from the perspective of national culture. International Journal of Project
Management, 33(3), 564–575.
Lo, H. W. and Liou, J. J. (2018). A novel multiple-criteria decision-making-based FMEA model for
risk assessment. Applied Soft Computing, 73, 684–696.
Lo, H. W., Shiue, W., Liou, J. J., and Tzeng, G. H. (2020). A hybrid MCDM-based FMEA model for
identification of critical failure modes in manufacturing. Soft Computing, 24(20), 15733–15745.
Maleki, M. H. et al. / Identifying and Prioritizing Risks Related … 109
Maleki, M. H., Dalvand, H., Jahangirnia, H., and Safa, M. (2021). Identifying and Prioritizing
Investment Risks in Sports Projects. Advances in Mathematical Finance and Applications.
Nazam, M., Xu, J., Tao, Z., Ahmad, J., and Hashim, M. (2015). A fuzzy AHP-TOPSIS framework for
the risk assessment of green supply chain implementation in the textile industry. International
Journal of Supply and Operations Management, 2(1), 548–568.
Nejadi, N., Ehsanifar, M., Khodadadi, H. (2020). Identifying, assessing and managing risk in oil and
gas industry contracts. Third Conference on Industrial Engineering, Economics and Management.
Ojoko, E. O., Tanko, B. L., Jibrin, M., Ojoko, O., and Enegbuma, W. L. (2016, August). Project delay
causes and effects in the construction industry. In IGCESH. Proceedings of the 6th International
Graduate Conference on Engineering, Science and Humanities, 15th (pp. 221–223).
Park, K., Lee, H. W., Choi, K., and Lee, S. H. (2019). Project risk factors facing construction
management firms. International Journal of Civil Engineering, 17(3), 305–321.
Pourrostam, T. and Ismail, A. (2012). Causes and effects of delay in Iranian construction projects.
International Journal of Engineering and Technology, 4(5), 598.
Rashid, Y. (2020). Analysis of delay factors and their effects on construction projects. Management
Science Letters, 10(6), 1197–1204.
Ruqaishi, M. and Bashir, H. A. (2015). Causes of delay in construction projects in the oil and gas
industry in the gulf cooperation council countries: a case study. Journal of Management in
Engineering, 31(3), 05014017.
Saini, N. and Khanduja, D. (2019). Financial performance evaluation using MADM approaches in
Indian banks. In Advances in Interdisciplinary Engineering (pp. 439–449). Springer, Singapore.
Salm, S. (2018). The investor-specific price of renewable energy project risk–A choice experiment with
incumbent utilities and institutional investors. Renewable and Sustainable Energy Reviews, 82,
1364–1375.
Sanni-Anibire, M. O., Zin, R. M., and Olatunji, S. O. (2020). Machine learning model for delay risk
assessment in tall building projects. International Journal of Construction Management, 1–10.
Silvius, G. (2018). Integrating sustainability into project risk management. In Global Business
Expansion: Concepts, Methodologies, Tools, and Applications (pp. 330–352). IGI Global.
Suppramaniam, S. U. K. and Ismail, S. (2018). Effects of Delay in Construction Phase of Oil and Gas
Projects in Malaysia. Journal of Advanced Research in Business and Management Studies, 13(1),
31–38.
Sweet, J. and Schneier, M. M. (2013). Legal Aspects of Architecture, Engineering and the Construction
Process. Construction Law International, 8(1), 43.
Tahriri, F., Osman, M. R., Ali, A., Yusuff, R., and Esfandiary, A. (2008). AHP approach for supplier
evaluation and selection in a steel manufacturing company. Journal of Industrial Engineering and
Management (JIEM), 1(2), 54–76.
Tang, G., Chiclana, F., Lin, X., and Liu, P. (2020). Interval type-2 fuzzy multi-attribute decision-making
approaches for evaluating the service quality of Chinese commercial banks. Knowledge-Based
Systems, 193, 105438.
Taylan, O., Bafail, A. O., Abdulaal, R. M., and Kabli, M. R. (2014). Construction projects selection and
risk assessment by fuzzy AHP and fuzzy TOPSIS methodologies. Applied Soft Computing, 17,
105–116.
Tokdemir, O. B., Erol, H., and Dikmen, I. (2019). Delay risk assessment of repetitive construction
projects using line-of-balance scheduling and Monte Carlo simulation. Journal of Construction
Engineering and Management, 145(2), 04018132.
110 Petroleum Business Review, Vol. 7 (2023), No. 3
Vora, M., Sanni, S., and Flage, R. (2021). An environmental risk assessment framework for enhanced
oil recovery solutions from offshore oil and gas industry. Environmental Impact Assessment
Review, 88, 106512.
Zhang, Y. (2016). Selecting risk response strategies considering project risk interdependence.
International Journal of Project Management, 34(5), 819–830.