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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).

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).

  • Type: Journal Article
  • Keywords: Change-order management (CHM); Sustainable construction project management; Project critical success factors; Change-order risk assessment; Planning; Project sustainability; Key performance indicators; Cost overrun; Time overrun; Structural equation model
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002350
  • Abstract:
    Managing change order is a critical area of concern in the construction industry, owing to the resulting disputes, claims, productivity losses, delays, and cost repercussions. There have been various studies proposing both quantitative and qualitative approaches to tackle the effect of change orders on project performance and success. Previous studies have almost solely focused on specific organizational policies, procedures, causes, and recommendations with the goal of capturing the essence of change-order management (CHM) within an area, organization, or kind of contract. However, their contributions are context-specific, limited to simple statistical method and make no reference to an inclusive concept of CHM performance factors. Furthermore, the existing literature urges a need for a realistic strategy to managing change orders, as well as limiting their negative consequences. Therefore, to address the research gap in the literature, this study proposes an operational and systematic CHM framework based on multidimensional performance factors to enhance the overall project success (OPS) factors, utilizing a partial least squares structural equation modeling (PLS-SEM) approach to develop the model. For evaluating CHM’s performance in terms of OPS, a conceptual model was developed. A questionnaire survey was used to conduct an empirical analysis to test the conceptual model. The information was gathered from 334 construction specialists that work in the field. The result of the analysis found that the explanatory power (R2) value of the CHM model is 0.665, which revealed that CHM performance factors in projects is responsible for 66.5% of project performance, which has a significant impact and demonstrating a strong influence. Furthermore, the management of communication and relationships, dispute resolution, and financial issues have a significant impact on CHM based on outer loading values of (β) 0.433, 0.432, and 0.422, respectively. Documentation, procurement, design, and quality management come next in terms of influence on CHM effectiveness, with outer loading values of (β) 0.402, 0.367, 0.345, and 0.289, respectively. This study adds to the body of knowledge by providing new insights and assisting in the identification and better understanding of CHM performance factors in construction projects and their impact on OPS, as well as the use of an advanced statistical method, PLS-SEM. The outcomes of this study can be utilized as a starting point for implementing CHM in construction projects. The practical applications of the proposed quantitative approach model can be utilized by the client, the consultant, and the contractor to successfully plan, manage, evaluate, monitor, and control the CHM performance. The findings of this study will aid policymakers and decision makers around the world in focusing on the industry’s most critical difficulties and challenges.

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).