Evidence map›Paper›PMID 35669632›Full record

ArticleComputational intelligence and neuroscience2022

Empirical Research on the Critical Success Factors of Construction Program.

Chunmei Zhou, Zheng He, Ping Hu, Hongyan Yan

Abstract read
In one paragraph

Article in Computational intelligence and neuroscience, 2022. 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

4 authors.

Chunmei ZhouDepartment of Construction Management, Hunan University of Finance and Economics, Changsha 410205, Hunan, China.
Zheng HeDepartment of Construction Management, Hunan University of Finance and Economics, Changsha 410205, Hunan, China.ORCID https://orcid.org/0000-0003-4221-4640
Ping HuDepartment of Construction Management, Hunan University of Finance and Economics, Changsha 410205, Hunan, China.
Hongyan YanDepartment of Construction Management, Hunan University of Finance and Economics, Changsha 410205, Hunan, China.ORCID https://orcid.org/0000-0001-5720-4985

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scientific identification of the factors that underpin the success of construction program can effectively promote the success of construction program. Based on literature statistics, this paper developed the measurement items of key success factors of construction program in Chinese context. Based on exploratory factor analysis, seven key success factors of construction program were extracted. Then, the excellence model of construction program was constructed by referring to the ideas, concepts, and theoretical mechanisms of EFQM model. The research conclusions of this paper provide a systematic and holistic guidance for the successful implementation of the program by the construction program organization and promote the success of the program.

Indexed as

Construction IndustryEmpirical ResearchFactor Analysis, Statistical

Identifiers

PMID35669632
PMCPMC9167011

What OpenQuestion holds

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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.