IDEAS home Printed from https://ideas.repec.org/h/pal/palchp/978-1-137-42959-9_3.html
   My bibliography  Save this book chapter

Physical and Psychosocial Sources as Potential Predictors of Job Stress in the Workplace

In: Global Enterprise Management

Author

Listed:
  • Francesca Virgilio
  • Nicoletta Bova
  • Svetlana Holt

Abstract

Job stress has been steadily gaining attention from researchers in many disciplines and is a fundamental theme in the fields of human resources and risk management, as well as in public and occupational health, organizational psychology, health and safety, and medicine. The increasing attention given to job stress can be attributed to the different aspects of the problem: it is a health issue, but it has also become an economic issue for many people and organizations, and for society in general.

Suggested Citation

  • Francesca Virgilio & Nicoletta Bova & Svetlana Holt, 2015. "Physical and Psychosocial Sources as Potential Predictors of Job Stress in the Workplace," Palgrave Macmillan Books, in: Angelo A. Camillo (ed.), Global Enterprise Management, chapter 0, pages 37-59, Palgrave Macmillan.
  • Handle: RePEc:pal:palchp:978-1-137-42959-9_3
    DOI: 10.1057/9781137429599_3
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Yu Zhang & Ershi Qi, 2022. "Happy work: Improving enterprise human resource management by predicting workers’ stress using deep learning," PLOS ONE, Public Library of Science, vol. 17(4), pages 1-18, April.

    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:pal:palchp:978-1-137-42959-9_3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave.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.