What Drives Variation Order Impact on Project Performance? PLS-SEM Evidence from Omani Fishery Port ProjectsT
The impact of Varetion Order
- Masoud ALQassabi — Civil Department, UNITEN, Universiti Tenaga Nasional, Malaysia, Malaysia
- Shuhairy Norhisham — Civil Department, UNITEN, Universiti Tenaga Nasional, Malaysia, Malaysia
- Mohammed Zakwan — Civil Department, UNITEN, Universiti Tenaga Nasional, Malaysia, Malaysia
- Azan AL-Shukaili — Civil Department, UNITEN, Universiti Tenaga Nasional, Malaysia, Malaysia
- Rashid AlKhawaldi — Civil Department, UNITEN, Universiti Tenaga Nasional, Malaysia, Malaysia
- Publication History
- Published online: August 31, 2026
- DOI
- https://doi.org/10.35877/454RI.asci4793
- Copyright
- Copyright (c) 2026 Masoud ALQassabi (Author)
- User License
- https://creativecommons.org/licenses/by-nc-sa/4.0
Abstract
Variation orders (VOs) represent a persistent source of cost overruns, schedule delays, and stakeholder disputes in construction projects worldwide, yet their differential impact on performance across heterogeneous causal categories remains insufficiently understood, particularly in specialised marine infrastructure contexts. This study investigates the causes and project performance consequences of variation orders in Omani fishery port construction projects using Partial Least Squares Structural Equation Modelling (PLS-SEM). Seven theoretically grounded VO cause categories, contractor-related (CON), client-related (CR), consultant-related (CS), environmental-related (ER), innovation-related (IR), organizational-related (OR), and resource-related (RR), were modeled as independent predictors of project performance (PP), operationalised across cost, time, quality, and stakeholder satisfaction dimensions. Survey data were collected from 113 construction professionals with direct fishery port project experience in Oman, encompassing government client agencies, engineering consultancies, and contracting organisations. The structural model results reveal that contractor-related causes (? = 0.549, p = 0.006, f² = 0.547) and client-related causes (? = 0.281, p = 0.021, f² = 0.280) are the only statistically significant direct predictors of project performance, collectively demonstrating that VO impacts are concentrated in execution capability and client governance rather than distributed evenly across causal domains. The remaining five constructs did not attain direct significance, suggesting their performance effects operate through mediated pathways via contractor execution and client decision-making mechanisms. These findings contribute an integrated, context-sensitive structural model of VO impact to the construction management literature and offer targeted governance recommendations for procuring authorities, engineering consultants, and contracting firms operating within Oman's marine infrastructure program.
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