Ahlemann, F., Schütte, R., & Stieglitz, S. (2021). Innovation Through Information Systems: Volume II: A Collection of Latest Research on Technology. Springer, Germany.
AIA California Council. (2007). <em>Integrated Project Delivery: A Guide</em>, The American Institute of Architects, California Council (AIA CC), Sacramento, CA, USA.
Akinosho, T. D., Oyedele, L. O., Bilal, M., Ajayi, A. O., Delgado, M. D., & Akinade, O. O., et al. (2020). Deep learning in the construction industry: A review of present status and future innovations. <em>Journal of Building Engineering, 32</em>, p. 101827. doi: <a href="https://doi.org/10.1016/j.jobe.2020.101827" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.jobe.2020.101827</a>
Al Khalil, M. I. (2002). Selecting the appropriate project delivery method using AHP. <em>International Journal of Project Management, 20</em>(6), pp. 469-474. doi: <a href="https://doi.org/10.1016/S0263-7863(01)00032-1" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/S0263-7863(01)00032-1</a>
El-Sawalhi, N. I., & Shehatto, O. (2014). A neural network model for building construction projects cost estimating. <em>Journal of Construction Engineering and Project Management., 4</em>(4), pp. 9-16. doi: <a href="https://doi.org/10.6106/JCEPM.2014.4.4.009" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.6106/JCEPM.2014.4.4.009</a>
Gardner, M. W., & Dorling, S. R. (1998). Artificial neural networks (the multilayer perceptron) – A review of applications in the atmospheric sciences. <em>Atmospheric Environment, 32</em>(14–15), pp. 2627-2636. doi: <a href="https://doi.org/10.1016/S1352-2310(97)00447-0" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/S1352-2310(97)00447-0</a>
Ghassemi, R., & Becerik-Gerber, B. (2011). Transitioning to integrated project delivery: Potential barriers and lessons learned. <em>Lean Construction Journal</em>, pp. 32-52. doi: <a href="https://doi.org/10.60164/uwvk0fog7" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.60164/uwvk0fog7</a>
Glick, S., & Guggemos, A. (2009). IPD and BIM: Benefits and opportunities for regulatory agencies. In: <em>Proceedings of 45th Associated Schools of Construction National Conference</em>, Gainesville, Florida.
Golnaraghi, S., Zangenehmadar, Z., Moselhi, O., & Alkass, S. (2019). Application of artificial neural network(s) in predicting formwork labour productivity. <em>Advances in Civil Engineering</em>, 2019, pp. 1-11. doi: <a href="https://doi.org/10.1155/2019/5972620" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1155/2019/5972620</a>
Guo, F., Chang-Richards, Y., Wilkinson, S., & Li, T. C. (2014). Effects of project governance structures on the management of risks in major infrastructure projects: A comparative analysis. <em>International Journal of Project Management, 32</em>(5), pp. 815-826. doi: <a href="https://doi.org/10.1016/j.ijproman.2013.10.001" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.ijproman.2013.10.001</a>
Hale, D. R., Shrestha, P. P., Gibson, Jr., G. E., & Migliaccio, G. C., et al. (2009). Empirical comparison of design/build and design/bid/build project delivery methods. <em>Journal of Construction Engineering and Management, 135</em>(7), pp. 579-587. doi: <a href="https://doi.org/10.1061/(ASCE)CO.1943-7862.0000017" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1061/(ASCE)CO.1943-7862.0000017</a>
Huahui, L., Deng, X., & Chang, T.-Y. (2019). BIM-based platform for collaborative building design and project management. <em>Journal of Computing in Civil Engineering, 33</em>(3), pp. 1-15. doi: <a href="https://doi.org/10.1061/(ASCE)CP.1943-5487.0000830" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1061/(ASCE)CP.1943-5487.0000830</a>
Jain, M., & Pathak, K. K. (2014). Applications of artificial neural network in construction engineering and management-a review. <em>International Journal of Engineering Technology, Management and Applied Sciences, 2</em>(3), pp. 134-142.
Juszczyk, M., & Leśniak, A. (2019). Modelling construction site cost index based on neural network ensembles. <em>Symmetry, 11</em>(3), p. 411. doi: <a href="https://doi.org/10.3390/sym11030411" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.3390/sym11030411</a>
Kent, D. C., & Becerik-Gerber, B. (2010). Understanding construction industry experience and attitudes toward integrated project delivery. <em>Journal of Construction Engineering and Management, 136</em>(8), pp. 815-825. doi: <a href="https://doi.org/10.1061/(ASCE)CO.1943-7862.0000188" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1061/(ASCE)CO.1943-7862.0000188</a>
Konchar, M., & Sanvido, V. (1998). Comparison of US project delivery systems. <em>Journal of Construction Engineering and Management, 124</em>(6), pp. 435-444. doi: <a href="https://doi.org/10.1061/(ASCE)0733-9364(1998)124:6(435)" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1061/(ASCE)0733-9364(1998)124:6(435)</a>
Kulkarni, P. S., Londhe, S. N., & Deo, M. (2017). Artificial neural networks for construction management: A review. <em>Journal of Soft Computing in Civil Engineering, 1</em>(2), pp. 70-88. doi: <a href="https://doi.org/10.22115/SCCE.2017.49580" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.22115/SCCE.2017.49580</a>
Kwofie, T. E., Afram, S., & Botchway, E. (2016). A critical success model for PPP public housing delivery in Ghana. <em>Built Environment Project and Asset Management, 6</em>(1), pp. 58-73. doi: <a href="https://doi.org/10.1108/BEPAM-04-2014-0026" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1108/BEPAM-04-2014-0026</a>
Linstone, H. A., & Turoff, M. (1975). <em>The Delphi Method: Techniques and Applications</em>. Addison-Wesley Publishing Company, Advanced Book Program, Michigan.
Mahdi, I. M., & Alreshaid, K. (2005). Decision support system for selecting the proper project delivery method using analytical hierarchy process (AHP). <em>International Journal of Project Management, 23</em>(7), pp. 564-572. doi: <a href="https://doi.org/10.1016/j." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.</a> ijproman.2005.05.007
Matel, E., Vahdatikhaki, F., Hosseinyalamdary, S., Evers, T., & Voordijk, H. (2022). An artificial neural network approach for cost estimation of engineering services. <em>International Journal of Construction Management, 22</em>(7), pp. 1274-1287. doi: <a href="https://doi.org/10.1080/15623599.2019.1692400" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1080/15623599.2019.1692400</a>
Miller, J. B., Garvin, M. J., Ibbs, C. W., & Mahoney, S. E. (2000). Toward a new paradigm: Simultaneous use of multiple project delivery methods. <em>Journal of Management in Engineering, 16</em>(3), pp. 58-67. doi: <a href="https://doi.org/10.1061/(ASCE)0742-597X(2000)" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1061/(ASCE)0742-597X(2000)</a> 16:3(58)
Molenaar, K., Sobin, N., Gransberg, D., McCuen, T.L., Korkmaz, S., & Horman, M. (2009). Sustainable, high performance projects and project delivery methods: A state-of-practice report. <em>White Paper for the Design-Build Institute of America and the Charles Pankow Foundation</em>. Charles Pankow Foundation Claremont, CA, USA, pp. 1-26.
Omar, M. N., & Fayek, A. R. (2016). Modeling and evaluating construction project competencies and their relationship to project performance. <em>Automation in Construction, 69</em>, pp. 115-130. doi: <a href="https://doi.org/10.1016/j.autcon.2016.05.021" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.autcon.2016.05.021</a>
Sacks, R., Eastman, C., Lee, G., & Teicholz, P. (2018). BIM Handbook: A Guide to Building Information Modeling for Owners, Designers, Engineers, Contractors, and Facility Managers. Wiley, New York, NY.
Shrestha, P. P., Maharajan, R., Batista, J. R., & Shakya, B. (2016). Comparison of utility managers’ and project managers’ satisfaction rating of alternative project delivery methods used in water and wastewater infrastructures. <em>Public Works Management & Policy, 21</em>(3), pp. 263-279. doi: <a href="https://doi.org/10.1177/1087724X15626716" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1177/1087724X15626716</a>
Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach’s alpha. <em>International Journal of Medical Education, 2</em>, pp. 53-55. doi: <a href="https://doi.org/10.5116/ijme.4dfb.8dfd" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.5116/ijme.4dfb.8dfd</a>
Tijanić, K., Car-Pušić, D., & Šperac, M. (2020). Cost estimation in road construction using artificial neural network. <em>Neural Computing and Applications, 32</em>(13), pp. 9343-9355. doi: <a href="https://doi.org/10.1007/s00521-019-04443-y" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1007/s00521-019-04443-y</a>
Zeng, Z., Minchin, R.E., Ptschelinzew, L., & Zhang, Y. (2014). Multi-objective decision-making to select multiple project delivery methods for multi-project transportation systems. In <em>Proceedings: 2nd International Structural Engineering and Construction Australasia and Southeast Asia Conference, Research Publishing, Singapore</em>, 2014, pp. 477–482.