IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i23p16360-d995406.html
   My bibliography  Save this article

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

Author

Listed:
  • Bo Liu

    (School of Economics and Management, Southwest Petroleum University, Chengdu 610500, China)

  • Taishan Yang

    (School of Economics and Management, Southwest Petroleum University, Chengdu 610500, China)

  • Wei Xie

    (School of Economics and Management, Southwest Petroleum University, Chengdu 610500, China)

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.

Suggested Citation

  • Bo Liu & Taishan Yang & Wei Xie, 2022. "Emotional Regulation Self-Efficacy Influences Moral Decision Making: A Non-Cooperative Game Study of the New Generation of Employees," IJERPH, MDPI, vol. 19(23), pages 1-12, December.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:16360-:d:995406
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/23/16360/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/23/16360/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chiranjibe Jana & G. Muhiuddin & Madhumangal Pal & D. Al-Kadi, 2021. "Intuitionistic Fuzzy Dombi Hybrid Decision-Making Method and Their Applications to Enterprise Financial Performance Evaluation," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-14, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhao, Hongdan & Zhao, Siyong & Chen, Yuanhua & Yu, Xiaoyu, 2023. "Bystanders’ reactions to leader knowledge hiding: The roles of moral disengagement and moral identity," Journal of Business Research, Elsevier, vol. 165(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tian Chen & Shiyao Li & Chun-Ming Yang & Wenting Deng, 2022. "Developing an Enterprise Diagnostic Index System Based on Interval-Valued Hesitant Fuzzy Clustering," Mathematics, MDPI, vol. 10(14), pages 1-22, July.
    2. Ibrahim M. Hezam & Arunodaya Raj Mishra & Pratibha Rani & Fausto Cavallaro & Abhijit Saha & Jabir Ali & Wadim Strielkowski & Dalia Štreimikienė, 2022. "A Hybrid Intuitionistic Fuzzy-MEREC-RS-DNMA Method for Assessing the Alternative Fuel Vehicles with Sustainability Perspectives," Sustainability, MDPI, vol. 14(9), pages 1-32, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:16360-:d:995406. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.