Evidence map›Paper›PMID 40603491›Full record

ArticleScientific reports2025

How to improve performance of Chinese BIM-supported civil engineering projects based on the qualitative comparative analysis method.

Weiwei Zuo, Tingting Mei, Shuda Zhong, Xiaofan Jiang, Ning Yan

Abstract read
In one paragraph

Article in Scientific reports, 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.

Weiwei ZuoSchool of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, China. whutzuo@126.com.
Tingting MeiSchool of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan, China. 22243571@qq.com.
Shuda ZhongHubei Communications Planning and Design Institute Co., Ltd., Wuhan, China.
Xiaofan JiangShanghai BaiTong Project Management Consulting Co. Ltd., Shanghai, China.
Ning YanSchool of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, China.

Funding

The Doctors' Research Startup Fund of Hubei University of Technology XJ2022010801
6 · The paper itself

Abstract

Building information modeling (BIM) demonstrates transformative potential in enhancing productivity within the architecture, engineering and construction industry. Nevertheless, determining how to improve the project performance through diverse BIM application conditions and identifying the performance improvement paths remains a valuable yet underexplored topic. Combined with the four actual application stages of BIM (the embryonic, the development, the stability, and the maturity stage) and five application conditions (BIM personnel training, BIM application points, BIM team building, BIM platform establishment, and BIM standard formulation), this study explores the performance improvement paths for Chinese BIM-supported civil engineering projects using the qualitative comparative analysis method. The findings indicate that none of the five application conditions constitutes a necessary condition for high project performance. The results reveal three configuration paths for enhancing comprehensive and individual performance: the talent-oriented path focusing on BIM personnel training and BIM team building, the technology-oriented path emphasizing BIM standard formulation, BIM platform establishment, and BIM application points, and the integrated path combining the talent-oriented path and the technology-oriented path. This paper not only can help the project stakeholders to allocate resources and improve performance for Chinese BIM-supported civil engineering projects but also provides a reference for government-related policies.

Indexed as

Building information modeling (BIM)Construction managementImprovement pathProject performanceQualitative comparative analysis (QCA)

Identifiers

PMID40603491
PMCPMC12223283

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.