Evidence map›Paper›PMID 41974812›Full record

ArticleScientific reports2026

Risk factors influencing construction supply chain management in Saudi Arabia.

Fahad K Alqahtani, Maan Shafaay, Eid Alagha, Omar Ahmed, Abdullah Alshehri, Mohamed Sherif, Ibrahim S Abotaleb

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In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Fahad K AlqahtaniDepartment of Civil Engineering, King Saud University, P.O.Box 800, Riyadh, 11421, Saudi Arabia.
Maan ShafaayDepartment of Civil Engineering, King Saud University, P.O.Box 800, Riyadh, 11421, Saudi Arabia.
Eid AlaghaDepartment of Civil Engineering, King Saud University, P.O.Box 800, Riyadh, 11421, Saudi Arabia.
Omar AhmedDepartment of Civil Engineering, King Saud University, P.O.Box 800, Riyadh, 11421, Saudi Arabia.
Abdullah AlshehriDepartment of Civil Engineering, King Saud University, P.O.Box 800, Riyadh, 11421, Saudi Arabia.
Mohamed SherifDepartment of Civil and Environmental Engineering, College of Engineering, University of Hawai'i at Manoa, Honolulu, USA.
Ibrahim S AbotalebDepartment of Construction Engineering, the American University in Cairo, AUC Avenue, Cairo, 11835, Egypt. ibrahimsalah@aucegypt.edu.

Funding

King Saud University Ongoing Research Funding program (ORF-2025-264)
6 · The paper itself

Abstract

The construction industry in Saudi Arabia faces numerous supply chain risks due to the complexity of operations, involvement of multiple stakeholders, reliance on imported materials, and fluctuating material costs. While numerous studies have identified and ranked construction risks, few have focused on the Saudi context to produce a validated hierarchy of risks. This study provides a systematic assessment of construction supply chain risks in the Saudi context by integrating an extensive literature review, expert consultation, and a quantitative survey methodology. Initially, 50 risk factors were identified through literature and refined to 23 critical risks through input from six subject matter experts (SMEs). A structured questionnaire was then distributed to 112 industry professionals, and the data were analyzed using the Relative Importance Index (RII) and Risk Index (RI) to prioritize risks based on their probability and impact. Using RII and a derived Risk Index (RI), the study prioritizes the most influential risks, identifying financial instability (RI = 0.432), supplier delivery failure (RI = 0.397), demand fluctuations (RI = 0.386), and single sourcing (RI = 0.386) as the top threats to construction supply chain performance in Saudi Arabia. Reliability testing produced a strong Cronbach’s alpha of 0.87, and a significant positive correlation between probability and impact scores (ρ = 0.6156, P = 0.0008) confirmed the coherence of the risk structure. The study contributes to construction supply chain management literature by extending the application of RII in the Gulf region and offers practical insights for project managers and policymakers to develop targeted mitigation strategies. These findings support the formulation of more resilient supply chain frameworks for large-scale infrastructure development.

Indexed as

Relative importance indexRisk factorsRisk managementSaudi ArabiaSupply chain

Identifiers

PMID41974812
PMCPMC13079884

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.