This work is licensed under the Creative Commons Attribution 4.0 International License.
Abd El-Razek, M. E., Bassioni, H. A., & Mobarak, A. M. (2008). Causes of delay in building construction projects in Egypt. Journal of Construction Engineering and Management, 134(11), pp. 831–841. doi: 10.1061/(ASCE)0733-9364(2008)134:11(831).Abd El-RazekM. E.BassioniH. A.MobarakA. M. (2008). Causes of delay in building construction projects in Egypt. , 134(11), pp. 831–841. doi: 10.1061/(ASCE)0733-9364(2008)134:11(831).Open DOISearch in Google Scholar
Adul-Hamid, R. (1996). Construction duration prediction using neural network methodology. PhD thesis, University of Manchester.Adul-HamidR. (1996). Construction duration prediction using neural network methodology. , University of Manchester.Search in Google Scholar
Ahmad, I., & Minkarah, I. (1988). Questionnaire survey on bidding in construction. Journal of Management Engineering, 4(3), pp. 229–243. doi: 10.1061/(ASCE)9742-597X(1988)4:3(229).AhmadI.MinkarahI. (1988). Questionnaire survey on bidding in construction. , 4(3), pp. 229–243. doi: 10.1061/(ASCE)9742-597X(1988)4:3(229).Open DOISearch in Google Scholar
Ahuja, H. N., & Nandakumar, V. (1985). Simulation model to forecast project completion time. Journal of Construction Engineering and Management, 111(4), pp. 325–342. doi: 10.1061/(ASCE)0733-9364(1985)111:4(325).AhujaH. N.NandakumarV. (1985). Simulation model to forecast project completion time. , 111(4), pp. 325–342. doi: 10.1061/(ASCE)0733-9364(1985)111:4(325).Open DOISearch in Google Scholar
Aibinu, A. A., & Jagboro, G. O. (2002). The effects of construction delays on project delivery in Nigerian construction industry. International Journal of Project Management, 20(8), pp. 593–599. doi: 10.1016/S0263-7863(02)00028-5.AibinuA. A.JagboroG. O. (2002). The effects of construction delays on project delivery in Nigerian construction industry. , 20(8), pp. 593–599. doi: 10.1016/S0263-7863(02)00028-5.Open DOISearch in Google Scholar
Aibinu, A. A., & Odeyinka, H. A. (2006). Construction delays and their causative factor in Nigeria. Journal of Construction Engineering and Management, 132(7), pp. 667–677. doi: 10.1061/(ASCE)0733-9364(2006)132:7(667).AibinuA. A.OdeyinkaH. A. (2006). Construction delays and their causative factor in Nigeria. , 132(7), pp. 667–677. doi: 10.1061/(ASCE)0733-9364(2006)132:7(667).Open DOISearch in Google Scholar
Akkaynak, B. (2014). Gayrimenkul Değerlemesi ve Gayrimenkul Değerlemesi Üzerine Bir Uygulama. MSc thesis, Mersin University, Mersin, Turkey.AkkaynakB. (2014). Gayrimenkul Değerlemesi ve Gayrimenkul Değerlemesi Üzerine Bir Uygulama. , Mersin University, Mersin, Turkey.Search in Google Scholar
Aksoy, B., & Boztosun, D. (2021). Comparison of classification performance of machine learning methods in prediction financial failure: Evidence from Borsa İstanbul. Hitit Journal of Social Sciences, 14(1), pp. 56–86. doi: 10.17218/hititsbd.880658.AksoyB.BoztosunD. (2021). Comparison of classification performance of machine learning methods in prediction financial failure: Evidence from Borsa İstanbul. , 14(1), pp. 56–86. doi: 10.17218/hititsbd.880658.Open DOISearch in Google Scholar
Alaghbari, W., Kadir, M. R. A., Salim, A., & Ernawati. (2007). Significant factors causing delay of building construction projects in Malaysia. Engineering, Construction and Architectural Management, 14(2), pp. 192–206. doi: 10.1108/09699980710731308AlaghbariW.KadirM. R. A.SalimA.Ernawati. (2007). Significant factors causing delay of building construction projects in Malaysia. , 14(2), pp. 192–206. doi: 10.1108/09699980710731308Open DOISearch in Google Scholar
Alfalasi, A. A. (2016). Developing a framework for improving business continuity management success (BCM) in UAE construction industry. MSc thesis, The British University in Dubai, The United Arab Emirates.AlfalasiA. A. (2016). Developing a framework for improving business continuity management success (BCM) in UAE construction industry. , The British University in Dubai, The United Arab Emirates.Search in Google Scholar
Aliverdi, R., Naeni, L. M., & Salehipour, A. (2013). Monitoring project duration and cost in a construction project by applying statistical quality control charts. International Journal of Project Management, 31(3), pp. 411–423. doi: 10.1016/j. ijproman.2012.08.005.AliverdiR.NaeniL. M.SalehipourA. (2013). Monitoring project duration and cost in a construction project by applying statistical quality control charts. , 31(3), pp. 411–423. doi: 10.1016/j. ijproman.2012.08.005.Open DOISearch in Google Scholar
Al-Khalil, M. I., & Al-Ghafly, M. A. (1999). Important causes of delay in public utility projects in Saudi Arabia. Construction Management & Economics, 17(5), pp. 647–655. doi: 10.1080/014461999371259.Al-KhalilM. I.Al-GhaflyM. A. (1999). Important causes of delay in public utility projects in Saudi Arabia. , 17(5), pp. 647–655. doi: 10.1080/014461999371259.Open DOISearch in Google Scholar
Al-Sabah, R., Menassa, C. C., & Hanna, A. (2014). Evaluating impact of construction risks in the Arabian Gulf Region from perspective of multinational architecture, engineering and construction firms. Construction Management and Economics, 32(4), pp. 382–402. doi: 10.1080/01446193.2014.884281.Al-SabahR.MenassaC. C.HannaA. (2014). Evaluating impact of construction risks in the Arabian Gulf Region from perspective of multinational architecture, engineering and construction firms. , 32(4), pp. 382–402. doi: 10.1080/01446193.2014.884281.Open DOISearch in Google Scholar
Alsaedi, M., Assaf, S., Hassanain, M. A., & Abdallah, A. (2019). Factors affecting contractors’ bidding decisions for construction projects in Saudi Arabia. Buildings, 9(2), p. 33. doi: 10.3390/buildings9020033.AlsaediM.AssafS.HassanainM. A.AbdallahA. (2019). Factors affecting contractors’ bidding decisions for construction projects in Saudi Arabia. , 9(2), p. 33. doi: 10.3390/buildings9020033.Open DOISearch in Google Scholar
Alshihri, S., Al-Gahtani, K., & Almohsen, A. (2022). Risk factors that lead to time and cost overruns of building projects in Saudi Arabia. Buildings, 12(7), p. 902. doi: 10.3390/buildings12070902.AlshihriS.Al-GahtaniK.AlmohsenA. (2022). Risk factors that lead to time and cost overruns of building projects in Saudi Arabia. , 12(7), p. 902. doi: 10.3390/buildings12070902.Open DOISearch in Google Scholar
Arditi, D., Akan, G. T., & Gurdamar, S. (1985). Reasons for delays in public projects in Turkey. Construction Management and Economics, 3(2), pp. 171–181. doi: 10.1080/01446198500000013.ArditiD.AkanG. T.GurdamarS. (1985). Reasons for delays in public projects in Turkey. , 3(2), pp. 171–181. doi: 10.1080/01446198500000013.Open DOISearch in Google Scholar
Asnaashari, E., Knight, A., Hurst, A., & Farahani, S. S. (2009). Causes of construction delays in Iran: Project management, logistics, technology and environment. In: Dainty, A. R. J. (ed.), Proceedings 25th Annual ARCOM Conference, pp. 887–906, Available at http://www.arcom.ac.uk/-docs/proceedings/ar2009-0887-906_Asnaashari_Knight_Hurst_and_Farahani. pdf (Access Date: 10 August 2022).AsnaashariE.KnightA.HurstA.FarahaniS. S. (2009). Causes of construction delays in Iran: Project management, logistics, technology and environment. In: DaintyA. R. J. (ed.), , pp. 887–906, Available at http://www.arcom.ac.uk/-docs/proceedings/ar2009-0887-906_Asnaashari_Knight_Hurst_and_Farahani.pdf (Access Date: 10 August 2022).Search in Google Scholar
Assaf, S. A., & Al-Hejji, S. (2006). Causes of delay in large construction projects. International Journal of Project Management, 24(4), pp. 349–357. doi: 10.1016/j. ijproman.2005.11.010.AssafS. A.Al-HejjiS. (2006). Causes of delay in large construction projects. , 24(4), pp. 349–357. doi: 10.1016/j. ijproman.2005.11.010.Open DOISearch in Google Scholar
Bageis, A. S., & Fortune, C. (2009). Factors affecting the bid/no bid decision in the Saudi Arabian construction contractors. Construction Management and Economics, 27(1), pp. 53–71. doi: 10.1080/01446190802596220.BageisA. S.FortuneC. (2009). Factors affecting the bid/no bid decision in the Saudi Arabian construction contractors. , 27(1), pp. 53–71. doi: 10.1080/01446190802596220.Open DOISearch in Google Scholar
Baltaci, M. K. (2012). TOKI’nin Arsa Satışı Karşılığı Gelir Paylaşımı Modeli üzerine bir inceleme. MSc thesis, Yildiz Technical University, İstanbul.BaltaciM. K. (2012). TOKI’nin Arsa Satışı Karşılığı Gelir Paylaşımı Modeli üzerine bir inceleme. , Yildiz Technical University, İstanbul.Search in Google Scholar
Bin Seddeeq, A., Assaf, S., Abdallah, A., & Hassanain, M. A. (2019). Time and cost overrun in the Saudi Arabian oil and gas construction industry. Buildings, 9(2), p. 41. doi: 10.3390/buildings9020041.Bin SeddeeqA.AssafS.AbdallahA.HassanainM. A. (2019). Time and cost overrun in the Saudi Arabian oil and gas construction industry. , 9(2), p. 41. doi: 10.3390/buildings9020041.Open DOISearch in Google Scholar
Birgonul, M. T., Dikmen, İ., Ozorhon, B., & Isik, Z. (2007). İnşaat Sektörünün Yapım Yönetimi Eğitiminden Beklentileri. In: 4th Construction Management Conference, TMMOB İnşaat Mühendisleri Odası, Türkiye, pp. 169–179.BirgonulM. T.Dikmenİ.OzorhonB.IsikZ. (2007). İnşaat Sektörünün Yapım Yönetimi Eğitiminden Beklentileri. In: , TMMOB İnşaat Mühendisleri Odası, Türkiye, pp. 169–179.Search in Google Scholar
Blyth, K., Lewis, J., & Kaka, A. (2004). Predicting project and activity duration for buildings in the UK. Journal of Construction Research, 5(2), pp. 329–347. doi: 10.1142/S1609945104000097.BlythK.LewisJ.KakaA. (2004). Predicting project and activity duration for buildings in the UK. , 5(2), pp. 329–347. doi: 10.1142/S1609945104000097.Open DOISearch in Google Scholar
Bromilow, F. J. (1969). Contract time performance – Expectations and reality. Building Forum, 1(3), pp. 70–80.BromilowF. J. (1969). Contract time performance – Expectations and reality. , 1(3), pp. 70–80.Search in Google Scholar
Cevahir, E. (2020). SPSS ile Nicel Veri Analizi Rehberi, 1st edn. Istanbul: Kibele.CevahirE. (2020). , 1st edn. Istanbul: Kibele.Search in Google Scholar
Chan, A. P. C., & Chan, A. P. L. (2004). Key performance indicators for measuring construction success. Benchmarking: An International Journal, 11(2), pp. 203–221. doi: 10.1108/14635770410532624.ChanA. P. C.ChanA. P. L. (2004). Key performance indicators for measuring construction success. , 11(2), pp. 203–221. doi: 10.1108/14635770410532624.Open DOISearch in Google Scholar
Chan, D. W., & Kumaraswamy, M. M. (1995). A study of the factors affecting construction durations in Hong Kong. Construction Management and Economics, 13(4), pp. 319–333. doi: 10.1080/01446199500000037.ChanD. W.KumaraswamyM. M. (1995). A study of the factors affecting construction durations in Hong Kong. , 13(4), pp. 319–333. doi: 10.1080/01446199500000037.Open DOISearch in Google Scholar
Chan, D. M. W., & Kumaraswamy, M. M. (1997). A comparative study of causes of time overruns in Hong Kong construction projects. International Journal of Project Management, 15(1), pp. 55–63. doi: 10.1016/S0263-7863(96)00039-7.ChanD. M. W.KumaraswamyM. M. (1997). A comparative study of causes of time overruns in Hong Kong construction projects. , 15(1), pp. 55–63. doi: 10.1016/S0263-7863(96)00039-7.Open DOISearch in Google Scholar
Chan, D. M. W., & Kumaraswamy, M. M. (2002). Compressing construction durations: Lessons learned from Hong Kong building projects. International Journal of Project Management, 20(1), pp. 23–35. doi: 10.1016/S0263-7863(00)00032-6.ChanD. M. W.KumaraswamyM. M. (2002). Compressing construction durations: Lessons learned from Hong Kong building projects. , 20(1), pp. 23–35. doi: 10.1016/S0263-7863(00)00032-6.Open DOISearch in Google Scholar
Chao, L.-C., & Chien, C.-F. (2010). A model for updating project s-curve by using neural networks and matching progress. Automation in Construction, 19(1), pp. 84–91. doi: 10.1016/j. autcon.2009.09.006.ChaoL.-C.ChienC.-F. (2010). A model for updating project s-curve by using neural networks and matching progress. , 19(1), pp. 84–91. doi: 10.1016/j. autcon.2009.09.006.Open DOISearch in Google Scholar
Cheng, Y.-M. (2014). An exploration into cost-influencing factors on construction projects. International Journal of Project Management, 32(5), pp. 850–860. doi: 10.1016/j. ijproman.2013.10.003.ChengY.-M. (2014). An exploration into cost-influencing factors on construction projects. , 32(5), pp. 850–860. doi: 10.1016/j. ijproman.2013.10.003.Open DOISearch in Google Scholar
Chevallier, N. J., & Russell, A. D. (2001). Developing a draft schedule using templates and rule. Journal of Construction Engineering & Management, 127(5), pp. 391–398. doi: 10.1061/(ASCE)0733-9364(2001)127:5(391).ChevallierN. J.RussellA. D. (2001). Developing a draft schedule using templates and rule. , 127(5), pp. 391–398. doi: 10.1061/(ASCE)0733-9364(2001)127:5(391).Open DOISearch in Google Scholar
Chipman, H. A., & McCulloch, R. E. (2000). Hierarchical priors for Bayesian CART shrinkage. Statistics and Computing, 10(1), pp. 17–24. doi: 10.1023/A:1008980332240.ChipmanH. A.McCullochR. E. (2000). Hierarchical priors for Bayesian CART shrinkage. , 10(1), pp. 17–24. doi: 10.1023/A:1008980332240.Open DOISearch in Google Scholar
Doloi, H., Sawhney, A., & Iyer, K. C. (2012). Structural equation model for investigating factors affecting delay in Indian construction projects. Construction Management and Economics, 30(10), pp. 869–884. doi: 10.1080/01446193.2012.717705.DoloiH.SawhneyA.IyerK. C. (2012). Structural equation model for investigating factors affecting delay in Indian construction projects. , 30(10), pp. 869–884. doi: 10.1080/01446193.2012.717705.Open DOISearch in Google Scholar
DPT. (2001). Sekizinci Kalkınma Planı (2001–2006), Ankara.DPT. (2001). , Ankara.Search in Google Scholar
DPT. (2007). Dokuzuncu Kalkınma Planı (2007–2013), Ankara.DPT. (2007). , Ankara.Search in Google Scholar
Dursun, O., & Stoy, C. (2012). Determinants of construction duration for building projects in Germany. Engineering, Construction and Architectural Management, 19(4), pp. 444–468. doi: 10.1108/09699981211237139.DursunO.StoyC. (2012). Determinants of construction duration for building projects in Germany. , 19(4), pp. 444–468. doi: 10.1108/09699981211237139.Open DOISearch in Google Scholar
Elhag, T. M. S., Boussabaine, A. H., & Ballal, T. M. A. (2005). Critical determinants of construction tendering costs: Quantity surveyors’ standpoint. International Journal of Project Management, 23(7), pp. 538–545. doi: 10.1016/j. ijproman.2005.04.002.ElhagT. M. S.BoussabaineA. H.BallalT. M. A. (2005). Critical determinants of construction tendering costs: Quantity surveyors’ standpoint. , 23(7), pp. 538–545. doi: 10.1016/j. ijproman.2005.04.002.Open DOISearch in Google Scholar
Elinwa, A. U., & Joshua, M. (2001). Time-overrun factors in Nigerian construction industry. Journal of Construction Engineering and Management, 127(5), pp. 419–425. doi: 10.1061/(ASCE)0733-9364(2001)127:5(419).ElinwaA. U.JoshuaM. (2001). Time-overrun factors in Nigerian construction industry. , 127(5), pp. 419–425. doi: 10.1061/(ASCE)0733-9364(2001)127:5(419).Open DOISearch in Google Scholar
Endut, I. R., Akintoye, A., & Kelly, J. (2009, August 21). Cost and time overruns of projects in Malaysia. IRBNet, Available at https://www.irbnet.de/daten/iconda/CIB10633.pdf (Access Date: 8 October 2022).EndutI. R.AkintoyeA.KellyJ. (2009, August21). Cost and time overruns of projects in Malaysia. , Available at https://www.irbnet.de/daten/iconda/CIB10633.pdf (Access Date: 8 October 2022).Search in Google Scholar
Erbaş, İ., & Çıracı, A. M. (2013). Construction project delivery system as a form of project implementation in Turkish Public Procurement. E – Journal of New World Sciences Academy, 8, pp. 108–119. Available at https://dergipark.org.tr/tr/pub/nwsaeng/issue/19850/212594 (Access Date: 12 October 2022).Erbaşİ.ÇıracıA. M. (2013). Construction project delivery system as a form of project implementation in Turkish Public Procurement. , 8, pp. 108–119. Available at https://dergipark.org.tr/tr/pub/nwsaeng/issue/19850/212594 (Access Date: 12 October 2022).Search in Google Scholar
Fan, S. L., Yeh, I. C., & Chi, W. S. (2021). Improvement in estimating durations for building projects using artificial neural network and sensitivity analysis. Journal of Construction Engineering Management, 147(7), p. 04021050. doi: 10.1061/(ASCE) CO.1943-7862.0002036.FanS. L.YehI. C.ChiW. S. (2021). Improvement in estimating durations for building projects using artificial neural network and sensitivity analysis. , 147(7), p. 04021050. doi: 10.1061/(ASCE)CO.1943-7862.0002036.Open DOISearch in Google Scholar
Faremi, O., Ogunsanmi, O., & Kohn, I. (2016). Factors affecting cost and time control in construction projects. Lagos Journal of Environmental Studies, 8(1), pp. 94-102, Available at https://ir.unilag.edu.ng/handle/123456789/8373 (Access Date: 15 October 2022).FaremiO.OgunsanmiO.KohnI. (2016). Factors affecting cost and time control in construction projects. , 8(1), pp. 94–102, Available at https://ir.unilag.edu.ng/handle/123456789/8373 (Access Date: 15 October 2022).Search in Google Scholar
Fayek, A., Ghoshal, I., & AbouRizk, S. (1999). A survey of bidding practices of Canadian civil engineering construction contractors. Canadian Journal of Civil Engineering, 26(1), pp. 13–25. doi: 10.1139/l98-038.FayekA.GhoshalI.AbouRizkS. (1999). A survey of bidding practices of Canadian civil engineering construction contractors. , 26(1), pp. 13–25. doi: 10.1139/l98-038.Open DOISearch in Google Scholar
Fayek, A., Young, D. M., & Duffield, C. F. (1998). A survey of tendering practices in the Australian construction industry. Environmental Engineering and Management Journal, 10(4), pp. 29–34. doi: 10.1080/10429247.1998.11415005.FayekA.YoungD. M.DuffieldC. F. (1998). A survey of tendering practices in the Australian construction industry. , 10(4), pp. 29–34. doi: 10.1080/10429247.1998.11415005.Open DOISearch in Google Scholar
FIDIC. (2017). Conditions of Contract for Construction, 2nd edn. Geneva: International Federation of Consulting Engineers.FIDIC. (2017). , 2nd edn. Geneva: International Federation of Consulting Engineers.Search in Google Scholar
Field, A. (2009). Discovering Statistics using SPSS, 3rd edn. London: Sage Publications Ltd.FieldA. (2009). , 3rd edn. London: Sage Publications Ltd.Search in Google Scholar
Fu, C. Y. (2004). Combining loglinear model with classification and regression tree (Cart): An application to birth data. Computational Statistics & Data Analysis, 45(4), pp. 865–874. doi: 10.1016/S0167-9473(03)00092-6.FuC. Y. (2004). Combining loglinear model with classification and regression tree (Cart): An application to birth data. , 45(4), pp. 865–874. doi: 10.1016/S0167-9473(03)00092-6.Open DOISearch in Google Scholar
Geng, R., Bose, I., & Chen, X. (2015). Prediction of financial distress: an empirical study of listed Chinese companies using data mining. European Journal of Operational Research, 241, pp. 236–247. doi: 10.1016/j.ejor.2014.08.016.GengR.BoseI.ChenX. (2015). Prediction of financial distress: an empirical study of listed Chinese companies using data mining. , 241, pp. 236–247. doi: 10.1016/j.ejor.2014.08.016.Open DOISearch in Google Scholar
Gibson, Jr. G. E., Wang, Y. R., Cho, C. S., & Pappas, M. P. (2006). What is preproject planning, anyway? Journal of Management in Engineering, 22(1), pp. 35–42. doi: 10.1061/(ASCE)0742-597X(2006)22:1(35).GibsonG. E.Jr.WangY. R.ChoC. S.PappasM. P. (2006). What is preproject planning, anyway?, 22(1), pp. 35–42. doi: 10.1061/(ASCE)0742-597X(2006)22:1(35).Open DOISearch in Google Scholar
Girth, A. M., & Lopez, L. E. (2019). Contract design, complexity, and incentives: Evidence from US federal agencies. The American Review of Public Administration, 49(3), pp. 325–337. doi: 10.1177/0275074018787558.GirthA. M.LopezL. E. (2019). Contract design, complexity, and incentives: Evidence from US federal agencies. , 49(3), pp. 325–337. doi: 10.1177/0275074018787558.Open DOISearch in Google Scholar
Godinho, P. C., & Costa, J. P. (2004). The use of cost and time in project decision trees: A model and an application. Notas Económicas, 20, pp. 1–22. doi: 10.14195/2183-203X_20_7.GodinhoP. C.CostaJ. P. (2004). The use of cost and time in project decision trees: A model and an application. , 20, pp. 1–22. doi: 10.14195/2183-203X_20_7.Open DOISearch in Google Scholar
Haas, O., Huschbeck, T., & Markovič, P. (2022). Effects of theft on the critical path of construction projects. In: Kryvinska, N., & Greguš, M. (eds.), Developments in Information & Knowledge Management for Business Applications. Springer, Cham, pp. 59–78.HaasO.HuschbeckT.MarkovičP. (2022). Effects of theft on the critical path of construction projects. In: KryvinskaN.GregušM. (eds.), . Springer, Cham, pp. 59–78.Search in Google Scholar
Hagquist, C., & Stenbeck, M. (1998). Goodness of fit in regression analysis-R2 and G2 reconsidered. Quality and Quantity, 32, pp. 229–245. doi: 10.1023/A:1004328601205.HagquistC.StenbeckM. (1998). Goodness of fit in regression analysis-R2 and G2 reconsidered. , 32, pp. 229–245. doi: 10.1023/A:1004328601205.Open DOISearch in Google Scholar
Hillebrandt, P. M. (2000). Economic Theory and the Construction Industry, 3rd edn. Basingstoke: Macmillan Press.HillebrandtP. M. (2000). , 3rd edn. Basingstoke: Macmillan Press.Search in Google Scholar
Hoffman, G. J., Thal, Jr. A. E., Webb, T. S., & Weir, J. D. (2007). Estimating performance time for construction projects. Journal of Management in Engineering, 23(4), pp. 193–199. doi: 10.1061/(ASCE)0742-597X(2007)23:4(193).HoffmanG. J.ThalA. E.Jr.WebbT. S.WeirJ. D. (2007). Estimating performance time for construction projects. , 23(4), pp. 193–199. doi: 10.1061/(ASCE)0742-597X(2007)23:4(193).Open DOISearch in Google Scholar
Hosseinian, S. M., & Reinschmidt, K. F. (2015). Finding best model to forecast construction duration of road tunnels with new Austrian tunneling method using Bayesian inference: Case study of Niayesh Highway Tunnel in Iran. Transportation Research Record: Journal of the Transportation Research Board, 2522(1), pp. 113–120. doi: 10.3141/2522-11.HosseinianS. M.ReinschmidtK. F. (2015). Finding best model to forecast construction duration of road tunnels with new Austrian tunneling method using Bayesian inference: Case study of Niayesh Highway Tunnel in Iran. , 2522(1), pp. 113–120. doi: 10.3141/2522-11.Open DOISearch in Google Scholar
Hwang, B. G., Zhao, X., & Ng, S. Y. (2013). Identifying the critical factors affecting schedule performance of public housing projects. Habitat International, 38, pp. 214–221. doi: 10.1016/j. habitatint.2012.06.008.HwangB. G.ZhaoX.NgS. Y. (2013). Identifying the critical factors affecting schedule performance of public housing projects. , 38, pp. 214–221. doi: 10.1016/j. habitatint.2012.06.008.Open DOISearch in Google Scholar
Ibironke, O. T., & Elamah, D. (2011). Factors affecting time, cost and quality management in building construction projects. FUTY Journal of the Environment, 6(1), pp. 1–9. doi: 10.4314/fje. v6i1.68323.IbironkeO. T.ElamahD. (2011). Factors affecting time, cost and quality management in building construction projects. , 6(1), pp. 1–9. doi: 10.4314/fje. v6i1.68323.Open DOISearch in Google Scholar
Imbert, D. I. (1990). Human issues affecting construction in developing countries. Construction Management and Economics, 8(2), pp. 219–228. doi: 10.1080/01446199000000018.ImbertD. I. (1990). Human issues affecting construction in developing countries. , 8(2), pp. 219–228. doi: 10.1080/01446199000000018.Open DOISearch in Google Scholar
Ismail, S. (2013). Factors attracting the use of public private partnership in Malaysia. Journal of Construction in Developing Countries, 18(1), pp. 95–108, Available at http://web.usm. my/jcdc/vol18_1_2013/art6_jcdc18-1.pdf (Access Date: 27 September 2022).IsmailS. (2013). Factors attracting the use of public private partnership in Malaysia. , 18(1), pp. 95–108, Available at http://web.usm.my/jcdc/vol18_1_2013/art6_jcdc18-1.pdf (Access Date: 27 September 2022).Search in Google Scholar
Iyer, K. C., Chaphalkar, N. B., & Joshi, G. A. (2008). Understanding time delay disputes in construction contracts. International Journal of Project Management, 26(2), pp. 174–184. doi: 10.1016/j.ijproman.2007.05.002.IyerK. C.ChaphalkarN. B.JoshiG. A. (2008). Understanding time delay disputes in construction contracts. , 26(2), pp. 174–184. doi: 10.1016/j.ijproman.2007.05.002.Open DOISearch 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. doi: 10.1016/j.ijproman.2004.10.003.IyerK. C.JhaK. N. (2005). Factors affecting cost performance: Evidence from Indian construction projects. , 23(4), pp. 283–295. doi: 10.1016/j.ijproman.2004.10.003.Open DOISearch in Google Scholar
Long, L.H., Young, D.L., & Jun, Y.L. (2008). Delays and cost overrun in Vietnam large construction projects: A comparison with other selected countries. KSCE Journal of Civil Engineering, 12(6), pp. 367–377. doi: 10.1007/s12205-008-0367-7.LongL.H.YoungD.L.JunY.L. (2008). Delays and cost overrun in Vietnam large construction projects: A comparison with other selected countries. , 12(6), pp. 367–377. doi: 10.1007/s12205-008-0367-7.Open DOISearch in Google Scholar
Jarkas, A. M., Mubarak, S. A., & Kadri, C. Y. (2013). Critical factors determining bid/no bid decisions of contractors in Qatar. Journal of Management in Engineering, 30(4), p. 05014007. doi: 10.1061/(ASCE)ME.1943-5479.0000223.JarkasA. M.MubarakS. A.KadriC. Y. (2013). Critical factors determining bid/no bid decisions of contractors in Qatar. , 30(4), p. 05014007. doi: 10.1061/(ASCE)ME.1943-5479.0000223.Open DOISearch in Google Scholar
Jin, R., Han, S., Hyun, C., & Cha, Y. (2016). Application of case-based reasoning for estimating preliminary duration of building projects. Journal of Construction Engineering and Management, 142(2), p. 04015082. doi: 10.1061/(ASCE) CO.1943-7862.0001072.JinR.HanS.HyunC.ChaY. (2016). Application of case-based reasoning for estimating preliminary duration of building projects. , 142(2), p. 04015082. doi: 10.1061/(ASCE) CO.1943-7862.0001072.Open DOISearch in Google Scholar
Kaka, A., & Price, A. D. F. (1991). Relationship between value and duration of construction projects. Construction Management and Economics, 9(4), pp. 383–400. doi: 10.1080/01446199100000030.KakaA.PriceA. D. F. (1991). Relationship between value and duration of construction projects. , 9(4), pp. 383–400. doi: 10.1080/01446199100000030.Open DOISearch in Google Scholar
Kaliba, C., Muya, M., & Mumba, K. (2009). Cost escalation and schedule delays in road construction projects in Zambia. International Journal of Project Management, 27(5), pp. 522–531. doi: 10.1016/j.ijproman.2008.07.003.KalibaC.MuyaM.MumbaK. (2009). Cost escalation and schedule delays in road construction projects in Zambia. , 27(5), pp. 522–531. doi: 10.1016/j.ijproman.2008.07.003.Open DOISearch in Google Scholar
Kaming, P. F., Olomolaiye, P. O., Holt, G. D., & Harris, F. C. (1997). Factors influencing construction time and cost overruns on high-rise projects in Indonesia. Construction Management and Economics, 15(1), pp. 83–94. doi: 10.1080/014461997373132.KamingP. F.OlomolaiyeP. O.HoltG. D.HarrisF. C. (1997). Factors influencing construction time and cost overruns on high-rise projects in Indonesia. , 15(1), pp. 83–94. doi: 10.1080/014461997373132.Open DOISearch in Google Scholar
Kaplan, S. (2012). İdeal Bir Kamu İhale Kanunu ve İdeal Bir Kamu İhale Kurumu ve Kurulu Nasıl Olmalıdır? Fonksiyonel Bir Model Çalışması. Maliye Dergisi, 162, pp. 18–50.KaplanS. (2012). İdeal Bir Kamu İhale Kanunu ve İdeal Bir Kamu İhale Kurumu ve Kurulu Nasıl Olmalıdır? Fonksiyonel Bir Model Çalışması. , 162, pp. 18–50.Search in Google Scholar
Karapinar, O. (2005). 2886 ve 4734 Sayılı İhale Kanunlarının İncelenmesi ve Yapım İşlerinde 4734 Sayılı Kamu İhale Kanunun Uygulanmasında Karşılaşılan Sorunlar İçin Çözüm Önerileri. MSc thesis, İstanbul Technical University, İstanbul.KarapinarO. (2005). 2886 ve 4734 Sayılı İhale Kanunlarının İncelenmesi ve Yapım İşlerinde 4734 Sayılı Kamu İhale Kanunun Uygulanmasında Karşılaşılan Sorunlar İçin Çözüm Önerileri. , İstanbul Technical University, İstanbul.Search in Google Scholar
Khosrowshahi, F., & Kaka, A. P. (1996). Estimation of project total cost and duration for housing projects in the U.K. Building and Environment, 31(4), pp. 375–383. doi: 10.1016/0360-1323(96)00003-0.KhosrowshahiF.KakaA. P. (1996). Estimation of project total cost and duration for housing projects in the U.K. , 31(4), pp. 375–383. doi: 10.1016/0360-1323(96)00003-0.Open DOISearch in Google Scholar
Koc, S., & Ulucan, S. (2016). Testing of Altman Z methods which is used for detecting of financial failures with fuzzy logic (Anfis) technique: A case study on technology and textile sector. Journal of Finance Letters, 106, pp. 147–167. doi: 10.33203/mfy.341768.KocS.UlucanS. (2016). Testing of Altman Z methods which is used for detecting of financial failures with fuzzy logic (Anfis) technique: A case study on technology and textile sector. , 106, pp. 147–167. doi: 10.33203/mfy.341768.Open DOISearch in Google Scholar
Koushki, P. A., Al-Rashid, K., & Kartam, N. (2005). Delays and cost increases in the construction of private residential projects in Kuwait. Construction Management and Economics, 23(3), pp. 285–294. doi: 10.1080/0144619042000326710.KoushkiP. A.Al-RashidK.KartamN. (2005). Delays and cost increases in the construction of private residential projects in Kuwait. , 23(3), pp. 285–294. doi: 10.1080/0144619042000326710.Open DOISearch in Google Scholar
Kumar, S. S., & Cheng, J. C. P. (2015). A BIM-based automated site layout planning framework for congested construction sites. Automation in Construction, 59, pp. 24–37. doi: 10.1016/j. autcon.2015.07.008.KumarS. S.ChengJ. C. P. (2015). A BIM-based automated site layout planning framework for congested construction sites. , 59, pp. 24–37. doi: 10.1016/j. autcon.2015.07.008.Open DOISearch in Google Scholar
Le-Hoai, L., Lee, Y. D., & Lee, J. Y. (2008). Delay and cost overruns in Vietnam large construction projects: A comparison with other selected countries. KSCE Journal of Civil Engineering, 12(6), pp. 367–377. doi: 10.1007/s12205-008-0367-7.Le-HoaiL.LeeY. D.LeeJ. Y. (2008). Delay and cost overruns in Vietnam large construction projects: A comparison with other selected countries. , 12(6), pp. 367–377. doi: 10.1007/s12205-008-0367-7.Open DOISearch in Google Scholar
Lessing, B., Thurnell, D., & Durdyev, S. (2017). Main factors causing delays in large construction projects: Evidence from New Zealand. Journal of Management, Economics and Industrial Organization, 1(2), pp. 63–82. doi: 10.31039/jomeino.2017.1.2.5.LessingB.ThurnellD.DurdyevS. (2017). Main factors causing delays in large construction projects: Evidence from New Zealand. , 1(2), pp. 63–82. doi: 10.31039/jomeino.2017.1.2.5.Open DOISearch in Google Scholar
Lewis-Beck, M. S. (1980). Applied Regression: An Introduction. US: Sage Publications.Lewis-BeckM. S. (1980). . US: Sage Publications.Search in Google Scholar
Li, H., Chen, Z., Yong, L., & Kong, S. C. W. (2005). Application of integrated GPS and GIS technology for reducing construction waste and improving construction efficiency. Automation in Construction, 14(3), pp. 323–331. doi: 10.1016/j. autcon.2004.08.007.LiH.ChenZ.YongL.KongS. C. W. (2005). Application of integrated GPS and GIS technology for reducing construction waste and improving construction efficiency. , 14(3), pp. 323–331. doi: 10.1016/j. autcon.2004.08.007.Open DOISearch in Google Scholar
Lin, C. L., & Fan, C. L. (2019). Evaluation of CART, CHAID, and QUEST algorithms: A case study of construction defects in Taiwan. Journal of Asian Architecture and Building Engineering, 18(6), pp. 539–553. doi: 10.1080/13467581.2019.1696203.LinC. L.FanC. L. (2019). Evaluation of CART, CHAID, and QUEST algorithms: A case study of construction defects in Taiwan. , 18(6), pp. 539–553. doi: 10.1080/13467581.2019.1696203.Open DOISearch in Google Scholar
Lin, M. C., Tserng, H. P., Ho, S. P., & Young, D. L. (2011). Developing a construction-duration model based on a historical dataset for building project. Journal of Civil Engineering and Management, 17(4), pp. 529–539. doi: 10.3846/13923730.2011.625641.LinM. C.TserngH. P.HoS. P.YoungD. L. (2011). Developing a construction-duration model based on a historical dataset for building project. , 17(4), pp. 529–539. doi: 10.3846/13923730.2011.625641.Open DOISearch in Google Scholar
Lines, B. C., Sullivan, K. T., Hurtado, K. C., & Savicky, J. (2014). Planning in construction: Longitudinal study of pre-contract planning model demonstrates reduction in project cost and schedule growth. International Journal of Construction Education and Research, 11(1), pp. 21–39. doi: 10.1080/15578771.2013.872733.LinesB. C.SullivanK. T.HurtadoK. C.SavickyJ. (2014). Planning in construction: Longitudinal study of pre-contract planning model demonstrates reduction in project cost and schedule growth. , 11(1), pp. 21–39. doi: 10.1080/15578771.2013.872733.Open DOISearch in Google Scholar
Lines, B. C., Sullivan, K. T., Smithwick, J. B., & Mischung, J. (2015). Overcoming resistance to change in engineering and construction: Change management factors for owner organizations. International Journal of Project Management, 33(5), pp. 1170–1179. doi: 10.1016/j.ijproman.2015.01.008.LinesB. C.SullivanK. T.SmithwickJ. B.MischungJ. (2015). Overcoming resistance to change in engineering and construction: Change management factors for owner organizations. , 33(5), pp. 1170–1179. doi: 10.1016/j.ijproman.2015.01.008.Open DOISearch in Google Scholar
Lo, T. Y., Fung, I. W. H., & Tung, K. C. F. (2006). Construction delays in Hong Kong civil engineering projects. Journal of Construction Engineering and Management, 132(6), pp. 636–649. doi: 10.1061/(ASCE)0733-9364(2006)132:6(636).LoT. Y.FungI. W. H.TungK. C. F. (2006). Construction delays in Hong Kong civil engineering projects. , 132(6), pp. 636–649. doi: 10.1061/(ASCE)0733-9364(2006)132:6(636).Open DOISearch in Google Scholar
Luu, V. T., Kim, S. Y., Tuan, N. V., & Ogunlana, S. O. (2009). Quantifying schedule risk in construction projects using Bayesian belief networks. International Journal of Project Management, 27(1), pp. 39–50. doi: 10.1016/j. ijproman.2008.03.003.LuuV. T.KimS. Y.TuanN. V.OgunlanaS. O. (2009). Quantifying schedule risk in construction projects using Bayesian belief networks. , 27(1), pp. 39–50. doi: 10.1016/j. ijproman.2008.03.003.Open DOISearch in Google Scholar
Mahmoodzadeh, A., Nejati, H. R., & Mohammadi, M. (2022). Optimized machine learning modelling for predicting the construction cost and duration of tunnelling projects. Automation in Construction, 139, p. 104305. doi: 10.1016/j. autcon.2022.104305.MahmoodzadehA.NejatiH. R.MohammadiM. (2022). Optimized machine learning modelling for predicting the construction cost and duration of tunnelling projects. , 139, p. 104305. doi: 10.1016/j. autcon.2022.104305.Open DOISearch in Google Scholar
Majid, I. A. (2006). Causes and effect of delays in Aceh construction industry. MSc thesis, University of Technology Malaysia, Johor Bahru, Malaysia.MajidI. A. (2006). Causes and effect of delays in Aceh construction industry. , University of Technology Malaysia, Johor Bahru, Malaysia.Search in Google Scholar
Mansfield, N. R., Ugwu, O. O., & Doran, T. (1994). Causes of delays and cost overruns in Nigeria construction projects. International Journal of Project Management, 12(4), pp. 254–260. doi: 10.1016/0263-7863(94)90050-7.MansfieldN. R.UgwuO. O.DoranT. (1994). Causes of delays and cost overruns in Nigeria construction projects. , 12(4), pp. 254–260. doi: 10.1016/0263-7863(94)90050-7.Open DOISearch in Google Scholar
Mauriya, V. K., Yadav, P. K., & Angra, V. K. (2010). Challenges and strategies for tunnelling in the Himalayan Region. In: Indian Geotechnical Conference 2010, GEO Trendz, pp. 93–96, Available at https://www.gndec.ac.in/~igs/ldh/conf/2010/articles/023.pdf (Access Date: 01 October 2022).MauriyaV. K.YadavP. K.AngraV. K. (2010). Challenges and strategies for tunnelling in the Himalayan Region. In: , GEO Trendz, pp. 93–96, Available at https://www.gndec.ac.in/~igs/ldh/conf/2010/articles/023.pdf (Access Date: 01 October 2022).Search in Google Scholar
Meeampol, S., & Ogunlan, S. O. (2006). Factors affecting cost and time performance on highway construction projects: Evidence from Thailand. Journal of Financial Management of Property and Construction, 11(1), pp. 3–20. doi: 10.1108/13664380680001076.MeeampolS.OgunlanS. O. (2006). Factors affecting cost and time performance on highway construction projects: Evidence from Thailand. , 11(1), pp. 3–20. doi: 10.1108/13664380680001076.Open DOISearch in Google Scholar
Memon, A. H. (2014). Contractor perspective on time overrun factors in Malaysian construction projects. International Journal of Science, Environment and Technology, 3(3), pp. 1184-1192, vailable at https://www.ijset.net/journal/352.pdf (Access Date: 09 December 2022).MemonA. H. (2014). Contractor perspective on time overrun factors in Malaysian construction projects. , 3(3), pp. 1184–1192, vailable at https://www.ijset.net/journal/352.pdf(Access Date: 09 December 2022).Search in Google Scholar
Memon, A. H., Rahman, I. A., & Azis, A. A. A. (2012). Time and cost performance in construction projects in southern and central regions of Peninsular Malaysia. International Journal of Advances in Applied Sciences, 1(1), pp. 45–52. doi: 10.11591/ijaas.v1.i1.pp45-52.MemonA. H.RahmanI. A.AzisA. A. A. (2012). Time and cost performance in construction projects in southern and central regions of Peninsular Malaysia. , 1(1), pp. 45–52. doi: 10.11591/ijaas.v1.i1.pp45-52.Open DOISearch in Google Scholar
Mensah, I., Adjei–Kumi, T., & Nani, G. (2016). Duration determination for rural roads using the principal component analysis and artificial neural network. Engineering, Construction and Architectural Management, 23(5), pp. 638–656. doi: 10.1108/ECAM-09-2015-0148.MensahI.Adjei–KumiT.NaniG. (2016). Duration determination for rural roads using the principal component analysis and artificial neural network. , 23(5), pp. 638–656. doi: 10.1108/ECAM-09-2015-0148.Open DOISearch in Google Scholar
Mooi, E., & Sarstedt, M. (2011). A Concise Guide to Market Research: The Process, Data, and Methods Using IBM SPSS Statistics. Germany: Springer Verlag.MooiE.SarstedtM. (2011). . Germany: Springer Verlag.Search in Google Scholar
Musarat, M. A., Alaloul, W. S., & Liew, M. S. (2021). Impact of inflation rate on construction projects budget: A review. Ain Shams Engineering Journal, 12(1), pp. 407–414. doi: 10.1016/j. asej.2020.04.009.MusaratM. A.AlaloulW. S.LiewM. S. (2021). Impact of inflation rate on construction projects budget: A review. , 12(1), pp. 407–414. doi: 10.1016/j.asej.2020.04.009.Open DOISearch in Google Scholar
Nasirzadeh, F., & Nojedehi, P. (2013). Dynamic modeling of labor productivity in construction projects. International Journal of Project Management, 31(6), pp. 903–911. doi: 10.1016/j. ijproman.2012.11.003.NasirzadehF.NojedehiP. (2013). Dynamic modeling of labor productivity in construction projects. , 31(6), pp. 903–911. doi: 10.1016/j.ijproman.2012.11.003.Open DOISearch in Google Scholar
Nayak, V. K. (2019). Study on factors affecting time overrun in rural infrastructure projects (Case Study: Mission Kakatiya). Vinod Paper Representation, pp. 1–6, Available at https://www.academia.edu/40915067/STUDY_ON_FACTORS_AFFECTING_TIME_OVERRUN_IN_RURAL_INFRASTRUCTURE_PROJECTS_Case_Study_MISSION_KAKATIYA (Access Date: 10 August 2022).NayakV. K. (2019). Study on factors affecting time overrun in rural infrastructure projects (Case Study: Mission Kakatiya). , pp. 1–6, Available at https://www.academia.edu/40915067/STUDY_ON_FACTORS_AFFECTING_TIME_OVERRUN_IN_RURAL_INFRASTRUCTURE_PROJECTS_Case_Study_MISSION_KAKATIYA (Access Date: 10 August 2022).Search in Google Scholar
Ndekugri, I., Braimah, N., & Gameson, R. (2008). Delay analysis within construction contracting organizations. Journal of Construction Engineering and Management, 134(9), pp. 692–700. doi: 10.1061/(ASCE)0733-9364(2008)134:9(692).NdekugriI.BraimahN.GamesonR. (2008). Delay analysis within construction contracting organizations. , 134(9), pp. 692–700. doi: 10.1061/(ASCE)0733-9364(2008)134:9(692).Open DOISearch in Google Scholar
Nguyen, L. D., Phan, D. H., & Tang, L. C. M. (2013). Simulating construction duration for multistory buildings with controlling activities. Journal of Construction Engineering and Management, 139(8), pp. 951–959. doi: 10.1061/(ASCE) CO.1943-7862.0000677.NguyenL. D.PhanD. H.TangL. C. M. (2013). Simulating construction duration for multistory buildings with controlling activities. , 139(8), pp. 951–959. doi: 10.1061/(ASCE) CO.1943-7862.0000677.Open DOISearch in Google Scholar
O’Brien, J. J., & Plotnick, F. L. (1999). CPM in Construction Management, 5th edn. US: McGraw-Hill.O’BrienJ. J.PlotnickF. L. (1999). , 5th edn. US: McGraw-Hill.Search in Google Scholar
Obodo, C. E., Xie, Z. N., Cobbinah, B. B., & Yari, K. D. Y. (2021). Evaluating the factors affecting contractors tender for project construction: An empirical study of small-scale indigenous contractors in Awka, Nigeria. Open Journal of Social Sciences, 9(7), pp. 381–397. doi: 10.4236/jss.2021.97028.ObodoC. E.XieZ. N.CobbinahB. B.YariK. D. Y. (2021). Evaluating the factors affecting contractors tender for project construction: An empirical study of small-scale indigenous contractors in Awka, Nigeria. , 9(7), pp. 381–397. doi: 10.4236/jss.2021.97028.Open DOISearch in Google Scholar
Odabasi, E. (2009). Models for estimating construction duration: An application for selected buildings on the METU campus. MSc thesis, Middle East Technical University, Ankara.OdabasiE. (2009). Models for estimating construction duration: An application for selected buildings on the METU campus. , Middle East Technical University, Ankara.Search in Google Scholar
Odeh, A. M., & Battaineh, H. T. (2002). Causes of construction delay: Traditional contracts. International Journal of Project Management, 20(1), pp. 67–73. doi: 10.1016/S0263-7863(00)00037-5.OdehA. M.BattainehH. T. (2002). Causes of construction delay: Traditional contracts. , 20(1), pp. 67–73. doi: 10.1016/S0263-7863(00)00037-5.Open DOISearch in Google Scholar
Oleinik, P., Cherednichenko, N., Shvedov, S., & Melnichuk, V. (2019). The principles of justification of an object construction duration. In: E3S Web of Conferences, Vol. 110, p. 02126. EDP Sciences. doi: 10.1051/e3sconf/201911002126.OleinikP.CherednichenkoN.ShvedovS.MelnichukV. (2019). The principles of justification of an object construction duration. In: , Vol. 110, p. 02126. EDP Sciences. doi: 10.1051/e3sconf/201911002126.Open DOISearch in Google Scholar
Oo, B. L., Lim, T. H. B., & Runeson, G. (2022). Critical factors affecting contractors’ decision to bid: A global perspective. Buildings, 12(3), p. 379. doi: 10.3390/buildings12030379.OoB. L.LimT. H. B.RunesonG. (2022). Critical factors affecting contractors’ decision to bid: A global perspective. , 12(3), p. 379. doi: 10.3390/buildings12030379.Open DOISearch in Google Scholar
Oyedele, L. O. (2013). Avoiding performance failure payment deduction in PFI/PPP projects: Model of critical success factors. Journal of Performance of Constructed Facilities, 27(3), pp. 283–294. doi: 10.1061/%28ASCE%29CF.1943-5509.0000367.OyedeleL. O. (2013). Avoiding performance failure payment deduction in PFI/PPP projects: Model of critical success factors. , 27(3), pp. 283–294. doi: 10.1061/%28ASCE%29CF.1943-5509.0000367.Open DOISearch in Google Scholar
Oyedele, O. A. (2017). A Study into the Factors Affecting Duration of Construction Projects in Nigeria. Femi Oyedele & Co, Available at https://www.researchgate.net/publication/313842757_A_study_into_the_factors_affecting_duration_of_construction_projects_in_Nigeria (Access Date: 21 July 2022).OyedeleO. A. (2017). . Femi Oyedele & Co, Available at https://www.researchgate.net/publication/313842757_A_study_into_the_factors_affecting_duration_of_construction_projects_in_Nigeria (Access Date: 21 July 2022).Search in Google Scholar
Oyedele, L. O., Jaiyeoba, B. E., Kadiri, K. O., Folagbade, S. O., Tijani, I. K., & Salami, R. O. (2015). Critical factors affecting construction quality in Nigeria: Evidence from industry professionals. International Journal of Sustainable Building Technology and Urban Development, 6(2), pp. 103–113. doi: 10.1080/2093761X.2015.1033662.OyedeleL. O.JaiyeobaB. E.KadiriK. O.FolagbadeS. O.TijaniI. K.SalamiR. O. (2015). Critical factors affecting construction quality in Nigeria: Evidence from industry professionals. , 6(2), pp. 103–113. doi: 10.1080/2093761X.2015.1033662.Open DOISearch in Google Scholar
Oyewobi, L. O., & Ogunsemi, D. R. (2010). Factors influencing reworks occurrence in construction: A study of selected building projects in Nigeria. Journal of Building Performance, 1(1), pp. 1–20.OyewobiL. O.OgunsemiD. R. (2010). Factors influencing reworks occurrence in construction: A study of selected building projects in Nigeria. , 1(1), pp. 1–20.Search in Google Scholar
Ozdamar, K. (2004). Paket Programlar ile İstatistiksel Veri Analizi-II (Çok Değişkenli Analizler), 5th edn. Eskisehir: Kaan Kitapevi.OzdamarK. (2004). , 5th edn. Eskisehir: Kaan Kitapevi.Search in Google Scholar
Papatheocharous, E., & Andreou, A. S. (2012). A hybrid software cost estimation approach utilizing decision trees and fuzzy logic. International Journal of Software Engineering and Knowledge Engineering, 22(3), pp. 435–465. doi: 10.1142/S0218194012500106.PapatheocharousE.AndreouA. S. (2012). A hybrid software cost estimation approach utilizing decision trees and fuzzy logic. , 22(3), pp. 435–465. doi: 10.1142/S0218194012500106.Open DOISearch in Google Scholar
Polat, G., Kaplan, B., & Bingöl, B. N. (2015). Subcontractor selection using genetic algorithm. Procedia Engineering, 123, pp. 432–440. doi: 10.1016/j.proeng.2015.10.081.PolatG.KaplanB.BingölB. N. (2015). Subcontractor selection using genetic algorithm. , 123, pp. 432–440. doi: 10.1016/j.proeng.2015.10.081.Open DOISearch in Google Scholar
Pospieszny, P. (2015). Application of data mining techniques for effort and duration estimation of software projects. PhD thesis, Warsaw School of Economics, Poland.PospiesznyP. (2015). Application of data mining techniques for effort and duration estimation of software projects. , Warsaw School of Economics, Poland.Search in Google Scholar
Qiao, Y., Labi, S., & Fricker, J. D. (2019). Hazard-based duration models for predicting actual duration of highway projects using nonparametric and parametric survival analysis. Journal of Management in Engineering, 35(6), p. 04019024. doi: 10.1061/(ASCE)ME.1943-5479.0000700.QiaoY.LabiS.FrickerJ. D. (2019). Hazard-based duration models for predicting actual duration of highway projects using nonparametric and parametric survival analysis. , 35(6), p. 04019024. doi: 10.1061/(ASCE)ME.1943-5479.0000700.Open DOISearch in Google Scholar
Ramli, N. A., Abdullah, C. S., Nawi, M. N. M., Zalazilah, M. H., Mydin, M. A. O., & Hamid, Z. A. (2018). A model of load-bearing masonry (LBM) technology adoption: Empirical study in the Malaysia country. Malaysian Construction Research Journal, 3(1), pp. 204–217.RamliN. A.AbdullahC. S.NawiM. N. M.ZalazilahM. H.MydinM. A. O.HamidZ. A. (2018). A model of load-bearing masonry (LBM) technology adoption: Empirical study in the Malaysia country. , 3(1), pp. 204–217.Search in Google Scholar
Salleh, R. (2009). Critical success factors of project management for Brunei construction projects: Improving project performance. Doctoral dissertation, Queensland University of Technology, Canada.SallehR. (2009). Critical success factors of project management for Brunei construction projects: Improving project performance. , Queensland University of Technology, Canada.Search in Google Scholar
Sanni-Anibire, M. O., Zin, R. M., & Olatunji, S. O. (2021). Developing a machine learning model to predict the construction duration of tall building projects. Journal of Construction Engineering, Management & Innovation, 4(1), pp. 22–36. doi: 10.31462/jcemi.2021.01022036.Sanni-AnibireM. O.ZinR. M.OlatunjiS. O. (2021). Developing a machine learning model to predict the construction duration of tall building projects. , 4(1), pp. 22–36. doi: 10.31462/jcemi.2021.01022036.Open DOISearch in Google Scholar
Shane, J. S., Molenaar, K. R., Anderson, S., & Schexnayder, C. (2009). Construction project cost escalation factors. Journal of Management in Engineering, 25(4), pp. 221–229. doi: 10.1061/(ASCE)0742-597X(2009)25:4(221).ShaneJ. S.MolenaarK. R.AndersonS.SchexnayderC. (2009). Construction project cost escalation factors. , 25(4), pp. 221–229. doi: 10.1061/(ASCE)0742-597X(2009)25:4(221).Open DOISearch in Google Scholar
Shanmugapriya, S., & Subramanian, K. (2013). Investigation of significant factors influencing time and cost overruns in Indian construction projects. International Journal of Emerging Technology and Advanced Engineering, 3(10), pp. 734–740.ShanmugapriyaS.SubramanianK. (2013). Investigation of significant factors influencing time and cost overruns in Indian construction projects. , 3(10), pp. 734–740.Search in Google Scholar
Shash, A. A. (1993). Factors considered in tendering decisions by top UK contractors. Construction Management and Economics, 11, pp. 111–118. doi: 10.1080/01446199300000004.ShashA. A. (1993). Factors considered in tendering decisions by top UK contractors. , 11, pp. 111–118. doi: 10.1080/01446199300000004.Open DOISearch in Google Scholar
Shokri-Ghasabeh, M., & Chileshe, N. (2016). Critical factors influencing the bid/no bid decision in the Australian construction industry. Construction Innovation, 16(2), pp. 127–157. doi: 10.1108/CI-04-2015-0021.Shokri-GhasabehM.ChilesheN. (2016). Critical factors influencing the bid/no bid decision in the Australian construction industry. , 16(2), pp. 127–157. doi: 10.1108/CI-04-2015-0021.Open DOISearch in Google Scholar
Smugala, S., & Kubečková, D. (2021). Construction process duration predicted by statistical method. In: IOP Conference Series: Materials Science and Engineering. IOP Publishing, p. 032135. doi: 10.1088/1757-899X/1203/3/032135.SmugalaS.KubečkováD. (2021). Construction process duration predicted by statistical method. In: . IOP Publishing, p. 032135. doi: 10.1088/1757-899X/1203/3/032135.Open DOISearch in Google Scholar
Sonmez, M. (2019). Türkiye’de Üstyapı Projelerinde Zaman-Maliyet İlişkileri. PhD thesis, Sakarya University, Sakarya.SonmezM. (2019). Türkiye’de Üstyapı Projelerinde Zaman-Maliyet İlişkileri. , Sakarya University, Sakarya.Search in Google Scholar
Soong, T. (2004). Fundamentals of Probability and Statistics for Engineers, 1st edn. UK: Wiley.SoongT. (2004). , 1st edn. UK: Wiley.Search in Google Scholar
Susanti, R. (2020). Cost overrun and time delay of construction project in Indonesia. Journal of Physics: Conference Series. IOP Publishing, p. 012050. doi: 10.1088/1742-6596/1444/1/012050.SusantiR. (2020). Cost overrun and time delay of construction project in Indonesia. . IOP Publishing, p. 012050. doi: 10.1088/1742-6596/1444/1/012050.Open DOISearch in Google Scholar
Sweis, J. G. (2013). Factors affecting time overruns in public construction projects: The case of Jordan. International Journal of Business and Management, 8(23), pp. 120–129. doi: 10.5539/ijbm.v8n23p120.SweisJ. G. (2013). Factors affecting time overruns in public construction projects: The case of Jordan. , 8(23), pp. 120–129. doi: 10.5539/ijbm.v8n23p120.Open DOISearch in Google Scholar
Thing, C. C. (2006). Determination of Civil Engineering Construction Time Duration (Project Report). University of Malaysia Sarawak, Sarawak.ThingC. C. (2006). . University of Malaysia Sarawak, Sarawak.Search in Google Scholar
Ting, S. N., Darrell, V. C., Kueh, A. B. H., Lee, Y. Y., & Ng, C. K. (2021). Extension of time (EoT) considerations in construction duration estimate for public construction projects. In: IOP Conference Series: Materials Science and Engineering. IOP Publishing, p. 012030. doi: 10.1088/1757-899X/1101/1/012030.TingS. N.DarrellV. C.KuehA. B. H.LeeY. Y.NgC. K. (2021). Extension of time (EoT) considerations in construction duration estimate for public construction projects. In: . IOP Publishing, p. 012030. doi: 10.1088/1757-899X/1101/1/012030.Open DOISearch in Google Scholar
Tokalakoglu, D. (2010). Kamu inşaat sektöründe yaklaşık maliyet hesabı şartnamesi oluşturulmasına yönelik bir çalışma. MSc thesis, İstanbul Technical University, İstanbul.TokalakogluD. (2010). Kamu inşaat sektöründe yaklaşık maliyet hesabı şartnamesi oluşturulmasına yönelik bir çalışma. , İstanbul Technical University, İstanbul.Search in Google Scholar
TOKI v Beneficiary, Faiz Kaybı Alacağının Tahsili Davası, Supreme Court 13th Law Office. (2010). Available at https://legalbank. net/belge/y-13-hd-e-2010-2081-k-2010-9729-t-01-07-2010-faiz-kaybi-alacaginin-tahsili-davasi/796696 (Access Date: 15 May 2022).. (2010). Available at https://legalbank.net/belge/y-13-hd-e-2010-2081-k-2010-9729-t-01-07-2010-faiz-kaybi-alacaginin-tahsili-davasi/796696 (Access Date: 15 May 2022).Search in Google Scholar
TOKI v Beneficiary, Fazlaya İlişkin Hakların Saklı Tutulması, Supreme Court General Assembly. (2015). Available at http://kazanci. com.tr/gunluk/hgk-2013-13-2342.htm (Access Date: 15 May 2022).. (2015). Available at http://kazanci.com.tr/gunluk/hgk-2013-13-2342.htm (Access Date: 15 May 2022).Search in Google Scholar
TOKI v Beneficiary, İçtihat Metni, Supreme Court General Assembly. (2014). Available at https://www.fullegal.com/karar-arama/yargitay-kararlari/yargitay-hukuk-genel-kurulu-201313-1143-esas-8969808. (2014). Available at https://www.fullegal.com/karar-arama/yargitay-kararlari/yargitay-hukuk-genel-kurulu-201313-1143-esas-8969808Search in Google Scholar
TOKI v Beneficiary, Mahrum Kalınan Kira Bedelinin Tahsili Talebi, Supreme Court 13th Law Office. (2011). Available at https://legalbank.net/belge/y-13-hd-e-2011-4202-k-2011-14042-t-06-09-2011-mahrum-kalinan-kira-bedelinin-tahsi-li-talebi/928653 (Access Date: 15 May 2022).. (2011). Available at https://legalbank.net/belge/y-13-hd-e-2011-4202-k-2011-14042-t-06-09-2011-mahrum-kalinan-kira-bedelinin-tahsi-li-talebi/928653 (Access Date: 15 May 2022).Search in Google Scholar
TOKI v Beneficiary, TOKİ’nin Geç Teslim Tazminatı Sorumluluğu, Supreme Court 13th Law Office. (2013). Available at https://karararama.yargitay.gov.tr (Access Date: 15 May 2022).. (2013). Available at https://karararama.yargitay.gov.tr (Access Date: 15 May 2022).Search in Google Scholar
Tunç, G., & Özsaraç, E. (2015, October). Türkiye’deki Kamu Özel İşbirliği Modelinin İyileştirilmesine Ait Öneriler. 3. Paper presented at the Türkiye Deprem Mühendisliği ve Sismoloji Konferansı, Dokuz Eylül University, İzmir.TunçG.ÖzsaraçE. (2015, October). Türkiye’deki Kamu Özel İşbirliği Modelinin İyileştirilmesine Ait Öneriler. 3. , Dokuz Eylül University, İzmir.Search in Google Scholar
Tunji-Olayeni, P. F., Afolabi, A. O., & Okpalamoka, O. I. (2018). Survey dataset on occupational hazards on construction sites. Data in Brief, 18, pp. 1365–1371. doi: 10.1016/j.dib.2018.04.028.Tunji-OlayeniP. F.AfolabiA. O.OkpalamokaO. I. (2018). Survey dataset on occupational hazards on construction sites. , 18, pp. 1365–1371. doi: 10.1016/j.dib.2018.04.028.Open DOISearch in Google Scholar
Türesoy, M. (1989). Yapı üretiminde süre tahmini ve yapım süresini etkileyen faktörler. MSc thesis, İstanbul Technical University, İstanbul.TüresoyM. (1989). Yapı üretiminde süre tahmini ve yapım süresini etkileyen faktörler. , İstanbul Technical University, İstanbul.Search in Google Scholar
Turkish Republic Presidency of Strategy and Budget. (2019). On Birinci Kalkınma Planı (2019-2023), Ankara.Turkish Republic Presidency of Strategy and Budget. (2019). , Ankara.Search in Google Scholar
Ubani, E. C., Okorocha, K. A., & Emeribe, S. C. (2013). Analysis of factors influencing time and cost overruns on construction projects in Southeastern Nigeria. International Journal of Management Sciences and Business Research, 2(2). Available at: SSRN: https://ssrn.com/abstract=2706352 (Access Date: 24 December 2022).UbaniE. C.OkorochaK. A.EmeribeS. C. (2013). Analysis of factors influencing time and cost overruns on construction projects in Southeastern Nigeria. , 2(2). Available at: SSRN: https://ssrn.com/abstract=2706352 (Access Date: 24 December 2022).Search in Google Scholar
Ujong, J., Mbadike, E. M., & Alaneme, G. U. (2022). Prediction of cost and duration of building construction using artificial neural network. Asian Journal of Civil Engineering, 23, pp. 1117–1139. doi: 10.1007/s42107-022-00474-4.UjongJ.MbadikeE. M.AlanemeG. U. (2022). Prediction of cost and duration of building construction using artificial neural network. , 23, pp. 1117–1139. doi: 10.1007/s42107-022-00474-4.Open DOISearch in Google Scholar
Usta, Y. (2014). Kamusal kalkınmada proje yönetimine yönelik modelsel bir yaklaşım. Verimlilik Dergisi, 3, pp. 115–139. Available at https://dergipark.org.tr/tr/pub/verimlilik/issue/21766/233953 (Access Date: 10 November 2022).UstaY. (2014). Kamusal kalkınmada proje yönetimine yönelik modelsel bir yaklaşım. , 3, pp. 115–139. Available at https://dergipark.org.tr/tr/pub/verimlilik/issue/21766/233953 (Access Date: 10 November 2022).Search in Google Scholar
Walker, D. H. T., & Vines, M. W. (2000). Australian multi-unit residential project construction time performance factors. Engineering, Construction and Architectural Management, 7(3), pp. 278–284. doi: 10.1108/eb021152.WalkerD. H. T.VinesM. W. (2000). Australian multi-unit residential project construction time performance factors. , 7(3), pp. 278–284. doi: 10.1108/eb021152.Open DOISearch in Google Scholar
Walraven, A., & de Vries, B. (2009). From demand driven contractor selection towards value driven contractor selection. Construction Management and Economics, 27(6), pp. 597–604. doi: 10.1080/01446190902933356.WalravenA.de VriesB. (2009). From demand driven contractor selection towards value driven contractor selection. , 27(6), pp. 597–604. doi: 10.1080/01446190902933356.Open DOISearch in Google Scholar
Wang, Y. R., Yu, C. Y., & Chan, H. H. (2012). Predicting construction cost and schedule success using artificial neural networks ensemble and support vector machines classification models. International Journal of Project Management, 30(4), pp. 470–478. doi: 10.1016/j.ijproman.2011.09.002.WangY. R.YuC. Y.ChanH. H. (2012). Predicting construction cost and schedule success using artificial neural networks ensemble and support vector machines classification models. , 30(4), pp. 470–478. doi: 10.1016/j.ijproman.2011.09.002.Open DOISearch in Google Scholar
Williams, R. C. (2008). The development of mathematical models for preliminary prediction of highway construction duration. Doctoral dissertation, Virginia Tech, Blacksburg, Virginia.WilliamsR. C. (2008). The development of mathematical models for preliminary prediction of highway construction duration. , Virginia Tech, Blacksburg, Virginia.Search in Google Scholar
Woolery, J. C., & Crandall, K. C. (1983). Stochastic network model for planning scheduling. Journal of Construction Engineering and Management, 109(3), pp. 342–354. doi: 10.1061/(ASCE)0733-9364(1983)109:3(342).WooleryJ. C.CrandallK. C. (1983). Stochastic network model for planning scheduling. , 109(3), pp. 342–354. doi: 10.1061/(ASCE)0733-9364(1983)109:3(342).Open DOISearch in Google Scholar
Yang, R. J., Wang, Y., & Jin, X.-H. (2014). Stakeholders’ attributes, behaviors, and decision-making strategies in construction projects: Importance and correlations in practice. Project Management Journal, 45(3), pp. 74–90. doi: 10.1002/pmj.21412.YangR. J.WangY.JinX.-H. (2014). Stakeholders’ attributes, behaviors, and decision-making strategies in construction projects: Importance and correlations in practice. , 45(3), pp. 74–90. doi: 10.1002/pmj.21412.Open DOISearch in Google Scholar
Yaseen, Z. M., Ali, Z. H., Salih, S. Q., & Al-Ansari, N. (2020). Prediction of risk selay in construction projects using a hybrid artificial intelligence model. Sustainability, 12(4), p. 1514. doi: 10.3390/su12041514.YaseenZ. M.AliZ. H.SalihS. Q.Al-AnsariN. (2020). Prediction of risk selay in construction projects using a hybrid artificial intelligence model. , 12(4), p. 1514. doi: 10.3390/su12041514.Open DOISearch in Google Scholar
Yeom, D. J., Seo, H. M., Kim, Y. J., Cho, C. S., & Kim, Y. (2018). Development of an approximate construction duration prediction model during the project planning phase for general office buildings. Journal of Civil Engineering and Management, 24(3), pp. 238–253. doi: 10.3846/jcem.2018.1646.YeomD. J.SeoH. M.KimY. J.ChoC. S.KimY. (2018). Development of an approximate construction duration prediction model during the project planning phase for general office buildings. , 24(3), pp. 238–253. doi: 10.3846/jcem.2018.1646.Open DOISearch in Google Scholar
Yitmen, İ., & Dikbaş, A. (2002). Web – tabanlı bütünleşik yapım yönetım sistemi modeli. İTÜ Dergisi, 1(1), pp. 31–41.Yitmeni.DikbaşA. (2002). Web – tabanlı bütünleşik yapım yönetım sistemi modeli. , 1(1), pp. 31–41.Search in Google Scholar
Yogesh, G., & Rao, C. H. (2021). A study on linear scheduling methods in road construction projects. Materials Today: Proceedings, 47, pp. 5475–5478. doi: 10.1016/j.matpr.2021.07.393.YogeshG.RaoC. H. (2021). A study on linear scheduling methods in road construction projects. , 47, pp. 5475–5478. doi: 10.1016/j.matpr.2021.07.393.Open DOISearch in Google Scholar