Evidence map›Paper›PMID 39928596›Full record

ArticlePloS one2025

Blueprint for progress: Understanding the driving forces of BIM adoption in Kingdom of Saudi Arabia (KSA) construction industry.

Muzaffar Iqbal, Irfan Ullah, Heba Abdou, Majed Alzara, Ahmed M Yosri

Abstract read
In one paragraph

Article in PloS one, 2025. 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
0cells of the map it votes in
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

5 authors.

Muzaffar IqbalSchool of Maritime Economics and Management, Dalian Maritime University, Dalian, P. R. China.
Irfan UllahTransportation Engineering College, Dalian Maritime University, Dalian, P. R. China.
Heba AbdouDepartment of Interior Design, College of Engineering, Jouf University, Sakaka, Saudi Arabia.
Majed AlzaraDepartment of Civil Engineering, College of Engineering, Jouf University, Sakaka, Saudi Arabia.
Ahmed M YosriDepartment of Civil Engineering, College of Engineering, Jouf University, Sakaka, Saudi Arabia.ORCID 0000-0002-5884-1166

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Building information modeling (BIM) as a virtual and digital mode of representing construction activities gained significant attention and facilitated construction projects. Nevertheless, many driving forces (DFs) trigger the adoption of BIM. Different kinds of studies have been conducted regarding the DFs of BIM adoption in developed countries. However, few studies have classified the adoption of DFs of BIM technology in developing countries such as the Kingdom of Saudi Arabia (KSA). A range of previous literature identified these DFs in a different context, but there is a need to answer two main questions. First, what DFs could influence BIM adoption in the construction sector of (KSA); second, what could be the possible framework to prioritize these DFs. Therefore, Fuzzy Delphi Methodology (FDM), Interpretive structural modeling (ISM), and MICMAC were applied to answer these questions. Study results highlight that 'Reduced cycle time of the design process' and 'Efficient construction planning and management', are the main DFs to BIM adoption in the construction sector of (KSA). This study is the first to employ a hybrid FDM, ISM, and MICMAC approach to evaluate BIM implementation DFs in the KSA context. This study informs policymakers and industry practitioners in (KSA) to develop targeted strategies for effective BIM adoption. This study enhances collaboration and communication among construction industry stakeholders by understanding the significant DFs and their interrelationships.

Indexed as

Construction IndustryDelphi TechniqueHumansModels, TheoreticalSaudi Arabia

Identifiers

PMID39928596
PMCPMC11809894

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.