Evidence map›Paper›PMID 39962492›Full record

ArticleBMC nursing2025

The effect of ambidextrous leadership on knowledge sharing behavior among nurse specialists: a chain mediation role of perceived organizational support and organizational commitment.

Jia Tao, Yan Liu, Dan Su

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Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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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

3 authors.

Jia Tao *School of Nursing, Anhui Medical University, Hefei, China.
Yan Liu *School of Nursing, Anhui Medical University, Hefei, China.
Dan Su *School of Nursing, Anhui Medical University, Hefei, China. sudanwu1986@163.com.

Funding

2021 Anhui Medical University School of Nursing Research Fund Youth Training Project hlpy20210015Natural Science Research Project of Anhui Educational Committee 2023AH050616
6 · The paper itself

Abstract

backgroundKnowledge sharing behavior of nurse specialists can cultivate nurses' core abilities, improve the quality of healthcare system services, and enhance people's well-being. Ambidextrous leadership can increase the level of knowledge sharing behavior, but the exact mechanism in nurse specialists remain unclear. This study investigated the relationship between ambidextrous leadership and knowledge sharing behavior among nurse specialists, with a specific focus on the mediation roles played by perceived organizational support and organizational commitment.

methodsAn anonymous cross-sectional survey with a convenience sampling among nurse specialists was conducted in Anhui Province, east China from July to September 2024. Sociodemographic information questionnaire, Multifactor Leadership Questionnaire, Perceived Organizational Support Scale, Chinese Employees Organizational Commitment Scale and Knowledge Sharing Behavior Scale were used to collect data. SPSS23.0 and AMOS 26.0 were used for statistical analysis.

resultsA total of 298 nurse specialists participated in this study. The average score of nurse specialists' knowledge sharing behavior was 55.00(10.65). Knowledge sharing behavior was positively correlated with ambidextrous leadership (r = 0.562, p<0.01), perceived organizational support (r = 0.575, p<0.01), and organizational commitment (r = 0.413, p<0.01). The total effect (β = 0.635) of ambidextrous leadership on knowledge sharing behavior consisted of a direct effect (β = 0.320) as well as an indirect effect (β = 0.315) mediated through perceived organizational support and organizational commitment. Perceived organizational support and organizational commitment have a chain-mediated effect (β = 0.056) between ambidextrous leadership and knowledge sharing behavior among nurse specialists, bootstrap 95% confidence interval (0.018,0.131), which represented 8.8% of the total effect.

conclusionsThis study confirms that ambidextrous leadership has a significant positive predictive effect on knowledge sharing behavior. Ambidextrous leadership was first associated with an increase in perceived organizational support, followed by a sequential ascend of organizational commitment, which associated with an improvement in knowledge sharing behavior among nurse specialists at last. Hospital managers can increase the levels of knowledge sharing behavior among nurse specialists by improving ambidextrous leadership, perceived organizational support and organizational commitment.

Indexed as

Ambidextrous leadershipKnowledge sharing behaviorNurse specialistsOrganizational commitmentPerceived organizational support

Identifiers

PMID39962492
PMCPMC11834281

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LicenceCC BY-NC-ND
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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.