[1] Gholipour, A. (2014). Human resources management. Tehran: Organization of study and editing of university humanities books, 4 (In Persian)
[2] Amani, N. (2004). The Mechanisms of Human Recourse Development in Tehran Municipality; with Respect to National Economic Development. Tehran: Economy and Urban Planning Journal (In Persian), 2
[3] Ghabezi, R. (2018). Investigating factors affecting the productivity of human resources in research centers, Tehran, quarterly journal of innovation and entrepreneurship, 3 (In Persian)
[4] Anjum, A., Ming, X., and Puig, L.C.M. (2021). Analysis of Strategic Human Resource Management Practices in Small and Medium Enterprises of South Asia. In Research Anthology on Human Resource Practices for the Modern Workforce, (IGI Global), pp. 1021–1039.
[5] Tam, N.V., Watanabe, T., and Hai, N.L. (2022). Importance of Autonomous Motivation in Construction Labor Productivity Improvement in Vietnam: A Self-Determination Theory Perspective. Buildings (12), 763.
[6] Cheng, M.Y., Cao, M.T., and Jaya Mendrofa, A.Y. (2021). Dynamic feature selection for accurately predicting construction productivity using symbiotic organisms search-optimized least square support vector machine. Journal of Building Engineering (35).
[7] Haron, N.A., Devi, P., Hassim, S., Alias, A.H., Tahir, M.M., and Harun, A.N. (2018). Project management practice and its effects on project success in Malaysian construction industry. In IOP Conference Series: Materials Science and Engineering, Institute of Physics Publishing, 1-7.
[8] Dixit, S., Mandal, S.N., Thanikal, J.V., and Saurabh, K. (2018). Critical analysis of factors affecting the on-site productivity in Indian construction industry. In: Creative Construction Conference. Periodical Polytechnical Budapest University of Technology and Economics, 38–45.
[9] El-Gohary, K.M., Aziz, R.F., and Abdel-Khalek, H.A. (2017). Engineering Approach Using ANN to Improve and Predict Construction Labor Productivity under Different Influences. Journal of Construction Engineering and Management, 143(8), 1-10.
[10] Samarghandi, H., Tabatabaei, S.M.M., Taabayan, P., Hashemi, A.M., and Willoughby, K. (2016). Studying the reasons for delay and cost overrun in construction projects: The case of Iran. Journal of Construction in Developing Countries, 21(1), 51–84.
[11] Hashemi, K. (2008). Innovation process and strategy in Iranian construction companies. Management perspective,29, 276. (In Persian)
[12] Ravanshadnia, M. (2014). The principles, regulations and methods of contract management of construction projects. 5th. Tehran: Simaye Danesh, 35-45 (In Persian)
[13] Kiani Mavi, R., and Standing, C. (2018). Critical success factors of sustainable project management in construction: A fuzzy DEMATEL-ANP approach. Journal of Cleaner Production, 194, 751–765.
[14] Ramlee, N., Tammy, N.J., Raja Mohd Noor, R.N.H., Ainun Musir, A., Abdul Karim, N., Chan, H.B., and Mohd Nasir, S.R. (2016). Critical success factors for construction project. In AIP Conference Proceedings, (American Institute of Physics Inc.), 1-6.
[15] Serras, D. N. (2022). Development of Poor Productivity Mitigation Model for a Viaduct Bridge Project. Journal of Civil Engineering and Construction, 11(2), 75-88.
[16] Demirkesen, S., and Ozorhon, B. (2017). Impact of integration management on construction project management performance. International Journal of Project Management, 35(8), 1639–1654.
[17] Majstorović, A., and Cerić, A. (2019). Development of Human Resources Management Model in Construction. E-Zbornik: ELEKTRONIČKI ZBORNIK RADOVA GRAĐEVINSKOG FAKULTETA, 9(18), 56–64.
[18] Kazerooni, M. M. (2021). Prioritizing Labour Productivity Improvement Strategies by Integrating Hybrid Feature Selection, Fuzzy Multi-Criteria Decision-Making, and Fuzzy Cognitive Maps. Master of Engineering and Construction Management, University of Alberta
[19] Kazerooni, M., Nguyen, P., and Fayek, A.R. (2021). Prioritizing construction labor productivity improvement strategies using fuzzy multi-criteria decision making and fuzzy cognitive maps. Algorithms, 14 (9)
[20] Habibi, A, (2017). SPSS training, Tehran: Pars modir electronic publication,7-9 (In Persian)
[21] Habibi, A, Adenvar, M, (2016). Structural Equation Modeling and Factor Analysis, 6th edition Tehran: Jihad Academic Publications, 11-12(In Persian)
[22] Danayi Fard, H, Hosseini, Y, Sheikhha, R. (2013). Q methodology-theoretical foundations and research framework. Tehran: Safaar, 43-157 (In Persian)
[23] Davari, A, Reza Zadeh, A. (2014). Structural equation modeling with PLS software. Tehran: Academic Jahad Publishing Organization, 96-98 (In Persian)