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Abubakar, M E, Hasan, A and Jha, K N (2022) Delays and Financial Implications of COVID-19 for Contractors in Irrigation Projects. Journal of Construction Engineering and Management, 148(09).

Adibfar, A and Costin, A M (2022) Creation of a Mock-up Bridge Digital Twin by Fusing Intelligent Transportation Systems (ITS) Data into Bridge Information Model (BrIM). Journal of Construction Engineering and Management, 148(09).

Alqahtani, F K, Alkhaldi, M, Alsaqer, T, Abotaleb, I S, Mohamed, A G and Dirar, S (2022) A Comparative Assessment of Advanced Construction Systems Incorporating Green Concrete. Journal of Construction Engineering and Management, 148(09).

Besaiso, H and Fenn, P (2022) How International Construction Arbitrators Make Their Decisions: Status of Commercial Norms and International Construction Law. Journal of Construction Engineering and Management, 148(09).

Cadenazzi, T, Keles, B, Rahman, M K and Nanni, A (2022) Life-Cycle Cost and Life-Cycle Assessment of a Monumental Fiber-Reinforced Polymer Reinforced Concrete Structure. Journal of Construction Engineering and Management, 148(09).

Cao, Q, Zou, X and Zhang, L (2022) Multiobjective Robust Optimization Model for Generating Stable and Makespan-Protective Repetitive Schedules. Journal of Construction Engineering and Management, 148(09).

Dayan, V, Chileshe, N and Hassanli, R (2022) A Scoping Review of Information-Modeling Development in Bridge Management Systems. Journal of Construction Engineering and Management, 148(09).

Franz, B, Leicht, R, El Asmar, M and Molenaar, K (2022) Methodological Consistency for Quantitative Analysis and Reporting in Project Delivery System Performance Research. Journal of Construction Engineering and Management, 148(09).

• Type: Journal Article
• Keywords: Research methods; Construction management; Reliability; Generalizability;
• ISBN/ISSN: 0733-9364
• URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002338
• Abstract:
  The project-based nature of construction means that a unique team of designers, contractors, and specialty trade partners must be assembled for the delivery of each new asset. The decisions around how these parties are procured and contracted can have downstream consequences for the success of those delivered assets, both in the timeliness and cost-effectiveness of the project, as well as in meeting the long-term needs of the client. Over the last 20 years, this Journal has published several studies that statistically compare cost and schedule performance between two or more project delivery systems. New and emerging alternative project delivery systems have recently been included in these studies. However, greater consistency in the data collection, analysis, and reporting practices are needed in the published literature around the topic of project delivery systems to allow for comparisons of studies, identifying trends over time, and understanding this body of knowledge. This article presents a review of the research methods used in 30 empirical papers published in leading construction engineering and management journals that studied the performance of different project delivery systems. These papers serve as a basis to identify successful practices and propose a set of recommendations for more consistent quantitative research in this field. The authors argue that greater consistency in project delivery research is critically needed, proposing a path forward that will assist researchers in conducting more reliable project delivery research for years to come. The paper is structured around three main categories of recommendations: (1) overcoming bias in project delivery data collection, (2) making a fair comparison, and (3) standardizing the presentation of results. In each category, the authors identify successful practices from published papers and make specific recommendations that provide a consistent standard for future studies. The vision of the authors is that the recommendations advanced in this paper, derived from exemplary cases of published work, will start a dialogue in the construction, engineering, and management community about establishing a standard of practice for quantitative project delivery system research. This article can be used as a resource for peer-reviewers and editors evaluating a project delivery study’s readiness for publication, and for faculty and graduate students looking for consistent guidance in conducting project delivery studies.

García de Soto, B, Turk, Å, Maciel, A, Mantha, B, Georgescu, A and Sonkor, M S (2022) Understanding the Significance of Cybersecurity in the Construction Industry: Survey Findings. Journal of Construction Engineering and Management, 148(09).

Guo, D, Song, Z, Xu, T, Zhang, Y and Ding, L (2022) Coupling Analysis of Tunnel Construction Risk in Complex Geology and Construction Factors. Journal of Construction Engineering and Management, 148(09).

Hasan, A and Kamardeen, I (2022) Occupational Health and Safety Barriers for Gender Diversity in the Australian Construction Industry. Journal of Construction Engineering and Management, 148(09).

Kamma, R C and Jha, K N (2022) Quantifying Building Construction and Demolition Waste Using Permit Data. Journal of Construction Engineering and Management, 148(09).

Lasni, A and Boton, C (2022) Implementing Construction Planning and Control Software: A Specialized Contractor Perspective. Journal of Construction Engineering and Management, 148(09).

Lee, G and Lee, S (2022) Importance of Testing with Independent Subjects and Contexts for Machine-Learning Models to Monitor Construction Workers’ Psychophysiological Responses. Journal of Construction Engineering and Management, 148(09).

Liu, D, Hu, C, Guo, S and Yu, J (2022) . Journal of Construction Engineering and Management, 148(09).

Liu, J, Liu, J and Bu, Z (2022) Effects of Different Face-Saving Concerns on the Escalation of Commitment between State-Owned and Private Investors in PPP Projects. Journal of Construction Engineering and Management, 148(09).

Liu, M, Zhu, Y, Wei, J, Le, Y and Zhang, X (2022) Impact of Institutional Pressures on External Program Manager Involvement: Evidence from Large Projects in China. Journal of Construction Engineering and Management, 148(09).

Luo, L, Wu, X, Hong, J and Wu, G (2022) Fuzzy Cognitive Map-Enabled Approach for Investigating the Relationship between Influencing Factors and Prefabricated Building Cost Considering Dynamic Interactions. Journal of Construction Engineering and Management, 148(09).

Meng, Q and Zhu, S (2022) Construction Activity Classification Based on Vibration Monitoring Data: A Supervised Deep-Learning Approach with Time Series RandAugment. Journal of Construction Engineering and Management, 148(09).

Naji, K K, Gunduz, M and Naser, A F (2022) The Effect of Change-Order Management Factors on Construction Project Success: A Structural Equation Modeling Approach. Journal of Construction Engineering and Management, 148(09).

Okudan, O and Çevikbaş, M (2022) Alternative Dispute Resolution Selection Framework to Settle Disputes in Public–Private Partnership Projects. Journal of Construction Engineering and Management, 148(09).

Pan, M, Yang, Y, Zheng, Z and Pan, W (2022) Artificial Intelligence and Robotics for Prefabricated and Modular Construction: A Systematic Literature Review. Journal of Construction Engineering and Management, 148(09).

Qiao, J, Wang, C, Guan, S and Shuran, L (2022) Construction-Accident Narrative Classification Using Shallow and Deep Learning. Journal of Construction Engineering and Management, 148(09).

Tang, L, Chen, C, Li, H and Mak, D Y Y (2022) Developing a BIM GIS–Integrated Method for Urban Underground Piping Management in China: A Case Study. Journal of Construction Engineering and Management, 148(09).

Tavallaei, R, Mashayekhi, A, Harrison, N, Talebian, M and Moser, R (2022) BIM Adoption: A Case of Institutional Pressures and Top Management Support. Journal of Construction Engineering and Management, 148(09).

Tayebi Jebeli, M, Asadollahfardi, G and Abbasi Khalil, A (2022) Novel Application of Micro-Nanobubble Water for Recycling Waste Foundry Sand: Toward Green Concrete. Journal of Construction Engineering and Management, 148(09).

ter Huurne, R, Scholtenhuis, L O and Dorée, A (2022) Change Triggers in Early Innovation Stages: How Technology Pilots Enable Routine Reflection. Journal of Construction Engineering and Management, 148(09).

Tian, D, Liu, H, Chen, S, Li, M and Liu, C (2022) Human Error Analysis for Hydraulic Engineering: Comprehensive System to Reveal Accident Evolution Process with Text Knowledge. Journal of Construction Engineering and Management, 148(09).

Xu, Z, Liang, Y, Xu, Y, Fang, Z and Stilla, U (2022) Geometric Modeling and Surface-Quality Inspection of Prefabricated Concrete Components Using Sliced Point Clouds. Journal of Construction Engineering and Management, 148(09).

Yu, W, Wang, K and Wu, H (2022) Empirical Comparison of Learning Effectiveness of Immersive Virtual Reality–Based Safety Training for Novice and Experienced Construction Workers. Journal of Construction Engineering and Management, 148(09).

Zhang, J, Zhou, Q, Li, F and Zhang, S (2022) Case Study of Field Application of Prefabricated Anchoring Frame Beam Structure in Slope Supporting Projects. Journal of Construction Engineering and Management, 148(09).

Zhang, S, Bogus, S M, Lippitt, C D, Kamat, V and Lee, S (2022) Implementing Remote-Sensing Methodologies for Construction Research: An Unoccupied Airborne System Perspective. Journal of Construction Engineering and Management, 148(09).

Zhang, W, Yuan, G, Xue, R, Han, Y and Taylor, J E (2022) Mitigating Common Method Bias in Construction Engineering and Management Research. Journal of Construction Engineering and Management, 148(09).