Evidence map›Paper›PMID 40595363›Full record

ArticleScientific reports2025

Exploring critical factors for enhancing the effectiveness of scientific and technological innovation and policy implications based on data from China.

Lijun Liang, Peirong Chen, Mengwan Zhang, Zheng Guo

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Lijun Liang *School of Business, Beijing Information Science and Technology University (BISTU), No. 55, Taihang Road, Changping District, Beijing, 102206, China. lianglijunuse@bistu.edu.cn.
Peirong Chen *School of Management Science and Engineering, Beijing Information Science and Technology University (BISTU), No. 55, Taihang Road, Changping District, Beijing, 102206, China.
Mengwan ZhangSchool of Economics and Management, Beijing Forestry University, No. 35 Qinghua East Road, Haidian District, Beijing, 100083, China.
Zheng GuoSchool of Economics and Management, University of Chinese Academy of Sciences, No. 80 Zhongguancun East Road, Haidian District, Beijing, 100190, China.

Funding

National Social Science Fund of China 23BGL091
6 · The paper itself

Abstract

In the context of growing global competition in science and technology, improving the effectiveness of scientific and technological (S&T) innovation is critical for strengthening China's overall S&T competitiveness. To identify the critical factors that influence the enhancement of S&T innovation effectiveness, this study employs the grounded theory and qualitative analysis techniques. Based on survey data from domestic researchers (286 responses), a critical factor model was developed consisting of five primary dimensions: "researchers' professional skills-research team collaboration-research management and organizational support-construction of a research innovation environment-research policy and incentive mechanisms". Furthermore, a measurement scale for these critical factors (306 responses) was designed and distributed. The findings of the study are as follows: (1) Based on the initial categories obtained through open coding, researchers prioritize, researchers prioritize research output evaluation and performance incentives, investment and allocation of research resources, and the innovation environment and academic atmosphere, emphasizing the need for policies that integrate both 'hard' and 'soft' elements to foster innovation. (2) The enhancement of S&T innovation effectiveness is influenced by multiple factors, with the most critical being researchers' professional skills, followed by research policy and incentive mechanisms, research team collaboration, the research innovation environment, and organizational support. The conclusions of this study expect to provide valuable insights for enhancing research innovation motivation, refining research management policies, and identifying key areas for research support.

Indexed as

Critical factorsGrounded theoryMeasurement scaleResearch innovation environmentScientific and technological innovation effectiveness

Identifiers

PMID40595363
PMCPMC12215058

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.