Evidence map›Paper›PMID 35482704›Full record

ArticlePloS one2022

Impact of agile intuition on innovation behavior: Chinese evidence and a new proposal.

Qing Zhao, Langang Feng, Hai Liu, Mei Yu, Shu Shang, Yuqi Zhu, YanPing Xie, Jing Li, Yuzhu Meng

Abstract read
In one paragraph

Article in PloS one, 2022. 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. Article
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

9 authors.

Qing ZhaoCollege of Business Administration, Guizhou University of Finance and Economics, Guiyang, China.ORCID 0000-0002-5662-6366
Langang FengHigh-End Think Tank of Guizhou Green Development Strategy, Guizhou University of Finance and Economics, Guiyang, China.
Hai LiuCollege of Business Administration, Guizhou University of Finance and Economics, Guiyang, China.
Mei YuCollege of Business Administration, Guizhou University of Finance and Economics, Guiyang, China.
Shu ShangCollege of Business Administration, Guizhou University of Finance and Economics, Guiyang, China.
Yuqi ZhuCollege of Business Administration, Guizhou University of Finance and Economics, Guiyang, China.
YanPing XieCollege of Business Administration, Guizhou University of Finance and Economics, Guiyang, China.
Jing LiCollege of Business Administration, Guizhou University of Finance and Economics, Guiyang, China.
Yuzhu MengCollege of Business Administration, Guizhou University of Finance and Economics, Guiyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the tendency toward economic and strategy decoupling between China and the United States and amidst the anti-globalization trend, enterprises are facing unprecedented challenges and opportunities. In this study, we reveal how the agile intuition (AI) of top managers with respect to the external environment affects enterprise innovation behavior (IB) based on the cognition-behavior framework. Strategic learning (SL) is considered a moderator, and knowledge sharing (KS) is considered a mediator. The survey sample consists of 305 managers from 47 enterprises in China during the COVID-19 period. The empirical results show that top management agile intuition significantly promotes enterprise IB; knowledge sharing (KS) partially mediates the relationship between top manager AI and enterprise IB; and SL suppresses the promotion effect of top manager AI on enterprise IB to a certain extent, hindering blind innovation. In a surprising result, we find that strategic guidance by an external consultant does not significantly affect the enterprise IB in China.

Indexed as

COVID-19IntuitionChinaHumansKnowledgeSurveys and Questionnaires

Identifiers

PMID35482704
PMCPMC9049368

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.