Author
Abstract
In an era characterized by population aging and economic challenges in welfare states across the world, sustaining these welfare systems requires a large workforce. Many long-term unemployed individuals, receiving social assistance and only marginally attached to the labor market, aspire to work but encounter a labyrinth of obstacles. While various activation programs are available to unemployed individuals, their effectiveness in helping those who have been out of work for an extended period remains uncertain. Integrating these social assistance recipients into the labor market thus remains an unsolved challenge due to various disadvantages, including health-related, social, family, housing, and personal challenges that make it difficult for the group to establish a connection to the labor market. This study introduces the Employment Readiness Indicator Questionnaire (ERIQ), a tool designed to assess individuals’ progress toward employment and evaluate employment readiness among disadvantaged social assistance recipients. ERIQ demonstrates impressive predictive abilities and points towards actionable recommendations by identifying malleable traits, such as social skills, coping strategies, goal orientation, and self-efficacy, that are significantly associated with finding employment. ERIQ emerges as a valuable resource for policymakers and practitioners, advancing the goal of promoting labor market participation for disadvantaged individuals.
Suggested Citation
Simon Tranberg Bodilsen & Søren Albeck Nielsen & Michael Rosholm, 2025.
"Measuring employment readiness for hard-to-place individuals,"
Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-12, December.
Handle:
RePEc:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-04943-4
DOI: 10.1057/s41599-025-04943-4
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
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:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-04943-4. 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: https://www.nature.com/ .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.