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Updated: May 27, 2026

Measuring Delay Discounting in Humans Using an Adjusting Amount Task
Published on: January 9, 2016
Multistage assessment of construction delay factors using expert evaluation and real project data
Ahmed Eid1, Ayman Halabya2, Nabil M Nagy3
1Department of Civil Engineering, Military Technical College, Cairo, Egypt. Ahmedmoheb256@gmail.com.
Construction delays are a major challenge, particularly in developing nations. This study identifies owner-related factors as the most significant contributors to project delays, validated by real-world data.
Area of Science:
- Construction Management
- Project Management
- Engineering Management
Background:
- Construction delays pose significant challenges globally, exacerbated by financial, administrative, and resource constraints in developing countries.
- Identifying and prioritizing delay factors is crucial for mitigating schedule disruptions and improving project outcomes.
Purpose of the Study:
- To identify and rank critical construction delay factors using a multi-phase research approach.
- To validate identified delay factors through expert evaluation and real-life project data in Egypt.
Main Methods:
- A comprehensive literature review identified 98 potential delay factors across four categories: owner, contractor, consultant/design, and external.
- An expert survey utilized a composite scoring approach (frequency and impact) to rank delay factors.
- Validation was performed using a dataset of 141 real construction projects to confirm survey-based rankings.
Main Results:
- Owner-related factors were identified as the most significant sources of construction delays, comprising approximately 50% of the top 22 critical factors.
- Frequent change orders and design modifications were consistently ranked as top delay drivers.
- Validation confirmed strong alignment between expert survey rankings and actual project outcomes, with minor variations in factor importance.
Conclusions:
- Owner-related issues are primary drivers of construction delays, necessitating targeted mitigation strategies.
- The study provides a validated dataset of delay factors, crucial for developing predictive models in construction.
- Findings offer valuable insights for project managers and stakeholders to enhance construction schedule performance.
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