Evidence map›Paper›PMID 36498436›Full record

ArticleInternational journal of environmental research and public health2022

Emotional Regulation Self-Efficacy Influences Moral Decision Making: A Non-Cooperative Game Study of the New Generation of Employees.

Bo Liu, Taishan Yang, Wei Xie

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Bo LiuSchool of Economics and Management, Southwest Petroleum University, Chengdu 610500, China.ORCID 0000-0003-0174-8849
Taishan YangSchool of Economics and Management, Southwest Petroleum University, Chengdu 610500, China.ORCID 0000-0002-4239-9457
Wei XieSchool of Economics and Management, Southwest Petroleum University, Chengdu 610500, China.

Funding

Mental health education research project of Sichuan Provincial Department of Education 2022SXJP001the special fund for humanities and social sciences of southwest petroleum university 2019RW020
6 · The paper itself

Abstract

Scholars generally believe that personality characteristics and psychological factors influence individual moral decision-making. However, few have ever discussed specific psychological factors and characteristics having such influences. Based on the self-efficacy theory and the social identity theory, this paper has proposed, from the perspective of social cognition, that emotional regulation self-efficacy influences the moral decision-making of the new generation of employees and that the mediating effect of interpersonal trust and the regulating effect of communication also play a role in the decision-making process. This study has designed a “red-blue experiment” based on the complete static information model in the non-cooperative game theory so as to conduct an experimental and qualitative analysis for the new generation of employees and to explore the characteristics of psychological process, self-efficacy, and moral decision-making of the experimental population. Through analysis of the 138 data sources collected from the experiment, the results showed that emotional self-efficacy had a significant positive effect on moral decision-making (p < 0.01), emotional self-efficacy had a significant positive effect on interpersonal trust (r = 0.560, p < 0.01), and interpersonal trust had a significant positive effect on moral decision-making (r = 0.290, p < 0.01). The mediating effect was 0.163. The interaction terms of emotional regulation self-efficacy and communication effect had a significant negative effect on interpersonal trust (r = −0.221, p < 0.01). All the hypotheses proposed in this study are supported by experimental data and reveal the psychological mechanism of moral decision-making in the new generation of employees. The study has further shown that the moral education of the new generation of employees needs to focus on improving emotional regulation self-efficacy and enhancing interpersonal trust, which provides theoretical support for the moral education methods and paths of the new generation of employees.

Indexed as

Emotional RegulationDecision MakingEmotionsHumansMoralsSelf Efficacycommunication effectemotion managementinterpersonal trustmoral decision-makingnew generation of employees

Identifiers

PMID36498436
PMCPMC9740886

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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.