IDEAS home Printed from https://ideas.repec.org/a/ris/ambsrv/021865.html
   My bibliography  Save this article

Impact of Resilience on Emotional Intelligence & Burnout Among Academicians: A Mediation Study

Author

Listed:
  • Shwati Sudha

    (National Institute of Technology Jamshedpur (NIT Jamshedpur), Jharkhand, India)

  • Shrejal Kumari

    (National Institute of Technology Jamshedpur (NIT Jamshedpur), Jharkhand, India)

  • Govind Swaroop Pathak

    (Indian Institute of Technology (Indian School of Mines), Dhanbad, Jharkhand, India)

Abstract

Resilience is examined as a mediator between emotional intelligence and burnout. The study also investigates the implications of emotional intelligence on burnout. An empirical investigation was conducted among 257 academicians employing purposive sampling. Primary data were obtained using a 5-point likert scale, incorporating validated tools, including the Maslach Burnout Inventory (MBI), Nicholson McBride Resilience Questionnaire (NMRQ), Mindful Attention Awareness Scale (MAAS), Self-Regulation Inventory (SRQ), Intrinsic Motivation Inventory (IMI), and Interpersonal Reactivity Index (IRI). The analysis was performed using Hayes (2018) SPSS Process Macro Model 4. Burnout was found as positively correlated with resilience and emotional intelligence, while emotional intelligence also showed a positive association with resilience. Moreover, resilience partially mediates the relationship between emotional intelligence and burnout. This research is among the earlier attempts to fill the lacuna in the amalgamated domain of emotional intelligence, burnout, and resilience with specific attention on academicians, where resilience acts as a mediating variable.

Suggested Citation

  • Shwati Sudha & Shrejal Kumari & Govind Swaroop Pathak, 2025. "Impact of Resilience on Emotional Intelligence & Burnout Among Academicians: A Mediation Study," American Business Review, Pompea College of Business, University of New Haven, vol. 28(2), pages 652-671, November.
    • Handle: RePEc:ris:ambsrv:021865
    DOI: 10.37625/abr.28.2.652-671
    as

    Download full text from publisher

    File URL: https://digitalcommons.newhaven.edu/cgi/viewcontent.cgi?article=3640&context=americanbusinessreview
    Download Restriction: no
    File URL: https://libkey.io/10.37625/abr.28.2.652-671?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • J10 - Labor and Demographic Economics - - Demographic Economics - - - General

    Statistics

    Access and download statistics

    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:ris:ambsrv:021865. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Amber Montano (email available below). General contact details of provider: https://edirc.repec.org/data/cbnhaus.html .

    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.