700
Views
14
CrossRef citations to date
0
Altmetric
Original Articles

Age and organizational identification: empirical findings from professional sports

, , &
Pages 718-722 | Published online: 27 Oct 2015
 

ABSTRACT

Although identification is critical to organizational survival, knowledge on how identification changes and evolves over time is still limited. Not only can tastes and choices vary across both social context and time, but individuals can change or choose their identity, as well as their ideals, group loyalty and/or social category. Hence, in this letter, we examine the relation between organizational identification and age using five large sports consumer surveys as a snapshot of the age distribution of team identification. Our results provide evidence of robust U-shaped age profiles, with a probable turning point in the 40s.

JEL CLASSIFICATION:

Notes

1 For a detailed discussion on team identification (i.e. ‘one’s level of attachment to, or concern about, a particular sports team’, see Madrigal (Citation2001, 148), Ngan, Prendergast, and Tsang (Citation2011, 552) and Wann and Branscombe (Citation1993)) as a specific form of organizational identification, see, for example, Hoegele, Schmidt, and Torgler (Citation2014a).

2 The data on those spectators were explored in another context by Hoegele et al. (c.f. Citation2014a, Citation2014b, Citation2015).

3 At the time of survey, FCB, BVB, LEV, WOB and TSG had historically participated in 47 (ranked 1 in the All-time Fußball-Bundesliga table), 45 (5), 35 (11), 17 (21) and 6 (32) Bundesliga seasons, respectively.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 205.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.