IDEAS home Printed from https://ideas.repec.org/a/vrs/organi/v52y2019i4p253-270n1.html
   My bibliography  Save this article

Relationship between Selection, Optimization and Compensation and the Work Ability of Nurses over Fifty Years of Age

Author

Listed:
  • Žmauc Tanja

    (Alma Mater Europaea – ECM, Maribor, Slovenia)

  • Železnik Danica

    (Alma Mater Europaea – ECM, Maribor, Slovenia)

  • Težak Oto

    (University of Maribor, Faculty of Electrical Engineering and Computer Science, Slovenia)

Abstract

Background and purpose: The raising of the retirement age in the field of nursing care increases the need for successful aging strategies in the work environment. The purpose of this paper is to analyse the application of selection, optimization and compensation and their correlation with the working ability of nurses aged fifty and over in Slovenia.Design/Methodology/Approach: The study encompasses 433 nurses over the age of 50 (M = 53.75±2.40 years) working in 13 hospitals across Slovenia. Two measurement instruments used in the field of nursing were adapted, the model of Selection, Optimization and Compensation (SOC) and the Work Ability Index (WAI). Data was processed using descriptive statistical methodology. The correlation between statistical variables was calculated using Spearman’s correlation coefficients. For a description of the functional relationship between SOC use and calendar age, linear and potential regression functions were used.Results: We found out that the use of SOC is slightly growing with the calendar age of the nurses. The most used SOC element is “selection”. Calculated WAI for nurses is at the lower end of the classification category “good” (M = 36.98±6.46) There is a positive correlation between SOC and WAI (rs = 0.23), causality was not studied.Conclusions: Increased use of SOC can lead to better work ability by nurses over fifty. Therefore, in the future, nurses will need to be trained and motivated to use SOC strategies.

Suggested Citation

  • Žmauc Tanja & Železnik Danica & Težak Oto, 2019. "Relationship between Selection, Optimization and Compensation and the Work Ability of Nurses over Fifty Years of Age," Organizacija, Sciendo, vol. 52(4), pages 253-270, December.
  • Handle: RePEc:vrs:organi:v:52:y:2019:i:4:p:253-270:n:1
    DOI: 10.2478/orga-2019-0016
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/orga-2019-0016
    Download Restriction: no

    File URL: https://libkey.io/10.2478/orga-2019-0016?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
    ---><---

    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:vrs:organi:v:52:y:2019:i:4:p:253-270:n:1. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.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.