Evidence map›Paper›PMID 40920785›Full record

ArticlePloS one2025

Measuring the synergy between technological and management innovation in megaprojects: Empirical evidence from China.

Yuanying Meng, Zhenxu Guo, Qing'e Wang, Lan Yin

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
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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

4 authors.

Yuanying MengSchool of Highway, Chang'an University, Xi'an, People's Republic of China.
Zhenxu GuoSchool of Civil Engineering, Central South University, Changsha, People's Republic of China.
Qing'e WangSchool of Civil Engineering, Central South University, Changsha, People's Republic of China.ORCID https://orcid.org/0000-0003-1572-2260
Lan YinAudit Bureau of Xi'an, Xi'an, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the national innovation system, the synergistic development of technological and management innovation in megaprojects plays a critical role in achieving high-quality project delivery. This study aims to develop a quantifiable three-dimensional coordination measurement framework to explore the collaborative mechanisms between technological and management innovation and validate practical applicability. First, key influencing factors of both technological and management innovation are identified through a systematic literature review and expert interviews. Based on these factors, an innovation status measurement model is constructed using a combined subjective and objective weighting approach. Next, the coupling degree function is applied to assess the coordination levels of three subsystems: structural coordination, behavioral coordination, and performance matching. Moreover, the overall coordination degree is calculated by integrating these results using a power function. A case study of the Shuozhou-Huanghua Railway reveals that the structural coordination degree is low level, the behavioral coordination degree is medium level, the performance matching degree is medium level, and the overall coordination degree is medium level. These findings suggest that while collaboration at the behavioral level is relatively effective, there remains significant potential for improvement in structural and performance coordination. The proposed three-dimensional coordination framework and associated quantitative tools demonstrate strong diagnostic capability in evaluating the synergy, offering theoretical support for dynamic strategy formulation and resource optimization.

Indexed as

InventionsTechnologyChinaCooperative BehaviorHumans

Identifiers

PMID40920785
PMCPMC12416728

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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.