IDEAS home Printed from https://ideas.repec.org/a/igg/jissc0/v13y2022i1p1-14.html
   My bibliography  Save this article

Impact of Psychological Contract on Employee Turnover in the Healthcare Sector: Do Personality Traits Act as a Mediator

Author

Listed:
  • Nitu Ghosh

    (REVA University, India)

  • Fazeelath Tabassum

    (REVA University, India)

Abstract

The study examines the mediating role of personality traits on the relationship between psychological contract and turnover intention of Healthcare professionals. The aim is to evaluate the relationship between PC and personality traits of healthcare professionals in private hospitals' and analyse the relationship of personality traits on turnover intention. The study adopts an empirical research design and the sampling frame constitutes doctors and nurses from private hospitals. The data collection sources were primary and secondary. Statistical tools such as Cronbach's alpha, Independent samples T-tests, Regression and Correlation were used. The findings shows that psychological contract has a significant positive relationship with employee turnover intentions. The practical relevance includes critical theoretical connections between doctors' and nurses' psychological contracts, personality traits, and intention to leave the profession (turnover). The findings have consequences for healthcare professionals' management, especially in the current context of the COVID pandemic.

Suggested Citation

  • Nitu Ghosh & Fazeelath Tabassum, 2022. "Impact of Psychological Contract on Employee Turnover in the Healthcare Sector: Do Personality Traits Act as a Mediator," International Journal of Information Systems and Social Change (IJISSC), IGI Global, vol. 13(1), pages 1-14, January.
  • Handle: RePEc:igg:jissc0:v:13:y:2022:i:1:p:1-14
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJISSC.303595
    Download Restriction: no
    ---><---

    More about this item

    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:igg:jissc0:v:13:y:2022:i:1:p:1-14. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.