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

doi:10.1371/journal.pone.0262426

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

PLoS One. 2022 Apr 28;17(4):e0262426. doi: 10.1371/journal.pone.0262426. eCollection 2022.

Authors

Qing Zhao¹, Langang Feng^{2

3}, Hai Liu¹, Mei Yu¹, Shu Shang¹, Yuqi Zhu¹, YanPing Xie¹, Jing Li¹, Yuzhu Meng¹

Affiliations

¹ College of Business Administration, Guizhou University of Finance and Economics, Guiyang, China.
² High-End Think Tank of Guizhou Green Development Strategy, Guizhou University of Finance and Economics, Guiyang, China.
³ Guizhou Key Laboratory of Big Data Statistical Analysis, Guizhou University of Finance and Economics, Guiyang, China.

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.

Publication types

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

MeSH terms

COVID-19*
China
Humans
Intuition*
Knowledge
Surveys and Questionnaires

Grants and funding

Langang Feng received the project. This research was funded by the National Social Science Foundation of China (grant number: 17BJY076) and Guizhou Province Philosophy and Social Science Planning Project, China (grant number: 21GZYB61). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.