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


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2022
Historique:
received: 24 04 2021
accepted: 27 12 2021
entrez: 28 4 2022
pubmed: 29 4 2022
medline: 3 5 2022
Statut: epublish

Résumé

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.

Identifiants

pubmed: 35482704
doi: 10.1371/journal.pone.0262426
pii: PONE-D-21-09995
pmc: PMC9049368
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0262426

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Références

J Appl Psychol. 2003 Oct;88(5):879-903
pubmed: 14516251
Science. 2006 Feb 17;311(5763):1005-7
pubmed: 16484496
Inquiry. 2019 Jan-Dec;56:46958018825061
pubmed: 30739512

Auteurs

Qing Zhao (Q)

College of Business Administration, Guizhou University of Finance and Economics, Guiyang, China.

Langang Feng (L)

High-End Think Tank of Guizhou Green Development Strategy, Guizhou University of Finance and Economics, Guiyang, China.
Guizhou Key Laboratory of Big Data Statistical Analysis, Guizhou University of Finance and Economics, Guiyang, China.

Hai Liu (H)

College of Business Administration, Guizhou University of Finance and Economics, Guiyang, China.

Mei Yu (M)

College of Business Administration, Guizhou University of Finance and Economics, Guiyang, China.

Shu Shang (S)

College of Business Administration, Guizhou University of Finance and Economics, Guiyang, China.

Yuqi Zhu (Y)

College of Business Administration, Guizhou University of Finance and Economics, Guiyang, China.

YanPing Xie (Y)

College of Business Administration, Guizhou University of Finance and Economics, Guiyang, China.

Jing Li (J)

College of Business Administration, Guizhou University of Finance and Economics, Guiyang, China.

Yuzhu Meng (Y)

College of Business Administration, Guizhou University of Finance and Economics, Guiyang, China.

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Classifications MeSH