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Evaluation of age-related labels by senior citizens

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Listed:
  • Bert Weijters
  • Maggie Geuens

    (Vlerick Leuven Gent Management School)

Abstract

The age-related labels 50+, seniorand retired are evaluated by a 45+ sample. Results show the appreciation of the terms increases upon entering the 50+ / senior / retirement group and keeps on increasing with age once the treshold age is crossed. The findings that label evaluations are generally positive and that 65 years is the mode of indicated treshold age for senior citizenship lead to an alternative interpretation of previous research (Tepper, 1994): people under 65 might consider being labeled senior undesirable because it is deviant from normality rather than because of the negativity of the label as such.

Suggested Citation

  • Bert Weijters & Maggie Geuens, 2002. "Evaluation of age-related labels by senior citizens," Vlerick Leuven Gent Management School Working Paper Series 2002-22, Vlerick Leuven Gent Management School.
    • Handle: RePEc:vlg:vlgwps:2002-22
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    13. B. Maenhout & M. Vanhoucke, 2005. "An Electromagnetic Meta-Heuristic for the Nurse Scheduling Problem," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/316, Ghent University, Faculty of Economics and Business Administration.
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    Cited by:

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    3. Květa Olšanová, 2012. "Understanding Seniors in the Context of an Aging European Population as a Modifier for Further Brand Management: Case of the Czech Republic," Central European Business Review, Prague University of Economics and Business, vol. 2012(3), pages 37-45.
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    5. M. Vanhoucke & B. Maenhout, 2005. "Characterisation and Generation of Nurse Scheduling Problem Instances," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/339, Ghent University, Faculty of Economics and Business Administration.
    6. Jan Lepoutre & Nikolay Dentchev & Aimé Heene, 2007. "Dealing With Uncertainties When Governing CSR Policies," Journal of Business Ethics, Springer, vol. 73(4), pages 391-408, July.
    7. H. Ooghe & C. Spaenjers & P. Vandermoere, 2005. "Business failure prediction: simple-intuitive models versus statistical models," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/338, Ghent University, Faculty of Economics and Business Administration.
    8. A. Karas & K. Schoors, 2005. "Heracles or Sisyphus? Finding, cleaning and reconstructing a database of Russian banks," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/327, Ghent University, Faculty of Economics and Business Administration.
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    10. B. Maenhout & M. Vanhoucke, 2005. "New Computational Results for the Nurse Scheduling Problem: A Scatter Search Algorithm," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/341, Ghent University, Faculty of Economics and Business Administration.
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