Dataset Information

How does leaders' information-sharing behavior affect subordinates' taking charge behavior in public sector? A moderated mediation effect.

ABSTRACT:

Introduction

Taking charge behavior (TCB) of civil servants is an important part of individual innovation performance, which is not only a key step for innovation in the public but also a real need for high-quality cadres construction in the public sector in the new era. Therefore, it is necessary to carry out an in-depth discussion on civil servants' taking charge behavior. Based on the theory of planned behavior, this paper constructs the framework of"cognition-motivation-behavior" to deeply explore the relationship between public sector leaders' information-sharing behavior and subordinates' taking charge behavior, as well as the mediating and moderating effects of subordinates' public service motivation and emotional trust.

Method

This study collected 200 civil servants' questionnaires by online survey, and conducted regression analysis through SPSS/AMOS/PROCESS.

Result and discussion

The empirical study finds that the information-sharing behavior of leaders in the public sector can significantly affect the TCB of subordinates; the public service motivation partially mediates the relationship between them; emotional trust positively moderates the mediation effect of public service motivation in the relationship between leaders' information-sharing behavior and subordinates' TCB in the public. This study not only enriches the research on civil servants' TCB theoretically but also provides meaningful enlightenment for promoting civil servants' taking charge behavior.

SUBMITTER: Liu JN

PROVIDER: S-EPMC9768551 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

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Publications

How does leaders' information-sharing behavior affect subordinates' taking charge behavior in public sector? A moderated mediation effect.

Liu Jun-Na JN Hou Yun-Zhang YZ Wang Jun J Fu Ping P Xia Cong-Zhen CZ

Frontiers in psychology 20221207

<h4>Introduction</h4>Taking charge behavior (TCB) of civil servants is an important part of individual innovation performance, which is not only a key step for innovation in the public but also a real need for high-quality cadres construction in the public sector in the new era. Therefore, it is necessary to carry out an in-depth discussion on civil servants' taking charge behavior. Based on the theory of planned behavior, this paper constructs the framework of"cognition-motivation-behavior" to ...[more]

PMID: 36570996

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Project description:BACKGROUND:Cognitive impairment is an important consequence of stroke and transient ischaemic attack, but its determinants are not fully understood. Simple univariable or multivariable models have not shown clinical utility for predicting cognitive impairment. Cardiovascular risk factors may influence cognition through multiple, direct, and indirect pathways, including effects on prior cognition and stroke severity. Understanding these complex relationships may help clinical teams plan intervention and follow-up strategies. METHODS:We analysed clinical and demographic data from consecutive patients admitted to an acute stroke ward. Cognitive assessment comprised Abbreviated Mental Test and mini-Montreal Cognitive Assessment. We constructed bias-corrected confidence intervals to test indirect effects of cardiovascular risk factors (hypertension, vascular disease, atrial fibrillation, diabetes mellitus, previous stroke) on cognitive function, mediated through stroke severity and history of dementia, and we assessed moderation effects due to comorbidity. RESULTS:From 594 eligible patients, we included 587 in the final analysis (age range 26-100; 45% female). Our model explained R2?=?62.10% of variance in cognitive test scores. We found evidence for an indirect effect of previous stroke that was associated with increased risk of prevalent dementia and in turn predicted poorer cognitive score (estimate?=?-?0.39; 95% bias-corrected CI, -?0.75 to -?0.13; p?=?0.02). Atrial fibrillation was associated with greater stroke severity and in turn with a poorer cognitive score (estimate?=?-?0.27; 95% bias-corrected CI, -?0.49 to -?0.05; p?=?0.02). Conversely, previous TIA predicted decreased stroke severity and, through that, lesser cognitive impairment (estimate?=?0.38; 95% bias-corrected CI, 0.08 to 0.75; p?=?0.02). Through an association with reduced stroke severity, vascular disease was associated with lesser cognitive impairment, conditional on presence of hypertension and absence of diabetes mellitus (estimate?=?0.36; 95% bias-corrected CI, 0.03 to 0.68; p?=?0.02), although the modelled interaction effects did not reach statistical significance. CONCLUSIONS:We have shown that relationships between cardiovascular risk factors and cognition are complex and simple multivariable models may be overly reductionist. Including direct and indirect effects of risk factors, we constructed a model that explained a substantial proportion of variation in cognitive test scores. Models that include multiple paths of influence and interactions could be used to create dementia prognostic tools for use in other healthcare settings.

Dataset Information

How does leaders' information-sharing behavior affect subordinates' taking charge behavior in public sector? A moderated mediation effect.

Introduction

Method

Result and discussion

Publications

How does leaders' information-sharing behavior affect subordinates' taking charge behavior in public sector? A moderated mediation effect.

Similar Datasets

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