Identification and evaluation of criteria for selecting contractors using a risk management approach

Alhazmi, T., & McCaffer, R. (2000). Project procurement system selection model. Journal of Construction Engineering and Management, 126(3), pp. 176-184.10.1061/(ASCE)0733-9364(2000)126:3(176)Search in Google Scholar

Anagnostopoulos, K., & Vavatsikos, A. (2006). “An AHP model for construction contractor prequalification, operational research”. An International Journal, 6, pp. 333-346.10.1007/BF02941261Search in Google Scholar

Asgharizadeh, E., & Nasrollahi, M. (2009). Identification and selection of weight of factors affecting contractor selection in construction projects. Journal of Management Research, winter 2009(2), pp. 105-122.Search in Google Scholar

Fong, P. S., & Choi, S. (2000). Final contractor selection using the analytical hierarchy process. Construction Management and Economics, 18, pp. 547-577.10.1080/014461900407356Search in Google Scholar

Haghighi Fard, A. (2010), Selection of machinery in surface mines using analytic hierarchy process. Master thesis, Amirkabir University of Technology, Tehran, IranSearch in Google Scholar

Holt, G. D. (2010). Classifying construction contractors. Building Research and Information, 25(6), pp. 374-382.10.1080/096132197370200Search in Google Scholar

Huang, X. (2011). An analysis of the selection of project contractor in the construction management process. International Journal of Business and Management, 6(3), pp. 184-189.10.5539/ijbm.v6n3p184Search in Google Scholar

Iyer, K. C., & Jha, K. N. (2005). Factors affecting cost performance: evidence from Indian construction projects. International Journal of Project Management, 23(4), pp. 283-295.10.1016/j.ijproman.2004.10.003Search in Google Scholar

Jaselskis, E. J., & Russell, J. S. (1992). Risk analysis approach to selection of contractor evaluation method. Construction Engineering Management, 118(4), pp. 814-821.10.1061/(ASCE)0733-9364(1992)118:4(814)Search in Google Scholar

Laryea, S., & Hughes, W. (2011). Risk and price in the bidding process of contractors. Journal of Construction Management and Engineering, 137(4), pp. 248-258.10.1061/(ASCE)CO.1943-7862.0000293Search in Google Scholar

Ledezema, E. L., & Fernandez, N. Q. (2012). Risk management in the bidding process. Master thesis, KTH Royal Institute of Technology in Stockholm.Search in Google Scholar

Mohagher, A., Kashi, K., & Salami, H. (2012). Selection of contractor for construction projects using a combination of multi-attribute utility theory and Electre method in the base Company. Journal of Industrial Management, summer 2012(8).Search in Google Scholar

Nieto-Morote, A., & Ruz-Vila, F. (2012). A fuzzy multi-criteria decision-making model for construction contractor prequali­fication. Automation in Construction., 25, pp. 8-19.10.1016/j.autcon.2012.04.004Search in Google Scholar

Plenkiewicz, E. (2009). Contractor prequalification model using fuzzy sets. Journal of Civil Engineering and Management, 15(4), pp. 377-385.Search in Google Scholar

Rajae, H., & Hazrati, A. (2007). Fuzzy Saw and Fuzzy Topsis multi-criteria decision-making models for pre-qualification and selection of contractors and comparing the results. In: Project Management proceeding of the 4th International Conference in Tehran, Iran, 2007, pp. 115-132.Search in Google Scholar

Sari, A., & El-Sayegh, S.M. (2007). Factors Affecting the Selection of the Appropriate Construction Management at Risk Contractor. In: Latin American and Caribbean proceeding of the international Conference for Engineering and Technology in Tampico, México, 2007, pp. 5C.1-2 - 5C.1-8.Search in Google Scholar

Sik, P. A., Fong, W., & Choi, K. Y. (2000). Final contractor selection using the analytical hierarchy process. Construction management and economics, 18(5), pp. 547-557.10.1080/014461900407356Search in Google Scholar

Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2015). Selecting a contractor by using a novel method for multiple attribute analysis: weighted aggregated sum product assessment with grey values (WASPAS-G). Studies in Informatics and Control, 24(2), pp. 141-150.10.24846/v24i2y201502Search in Google Scholar