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Export Reference (APA)
Cayolla, R. & Loureiro, S. (2013). Consequences of being deeply in love: The fan-football club relationship. In Rod Brodie (Ed.), ANZMAC 2013 Conference Proceedings. Adelaide: University of Auckland.
Export Reference (IEEE)
R. Cayolla and S. M. Loureiro,  "Consequences of being deeply in love: The fan-football club relationship", in ANZMAC 2013 Conf. Proc., Rod Brodie, Ed., Adelaide, University of Auckland, 2013
Export BibTeX
@inproceedings{cayolla2013_1716146234390,
	author = "Cayolla, R. and Loureiro, S.",
	title = "Consequences of being deeply in love: The fan-football club relationship",
	booktitle = "ANZMAC 2013 Conference Proceedings",
	year = "2013",
	editor = "Rod Brodie",
	volume = "",
	number = "",
	series = "",
	publisher = "University of Auckland",
	address = "Adelaide",
	organization = "",
	url = "https://webarchive.nla.gov.au/awa/20140311021121/http://pandora.nla.gov.au/pan/25410/20140311-1105/anzmac.info/conference/anzmac-2013-conference-proceedings/index.html"
}
Export RIS
TY  - CPAPER
TI  - Consequences of being deeply in love: The fan-football club relationship
T2  - ANZMAC 2013 Conference Proceedings
AU  - Cayolla, R.
AU  - Loureiro, S.
PY  - 2013
CY  - Adelaide
UR  - https://webarchive.nla.gov.au/awa/20140311021121/http://pandora.nla.gov.au/pan/25410/20140311-1105/anzmac.info/conference/anzmac-2013-conference-proceedings/index.html
AB  - The aim of this research is to explore the consequences of being in love and committed to a
football (soccer) club and a team for the fans. Data was collected through 28 in-depth interviews.
In the qualitative data collection for this work first we realize 97 telephone interviews and then
we made 28 in-depth interviews. In this paper we present the findings of the 28 in-depth
interviews concerning the consequences of being deeply in love with the football club.
Respondents were between 22 and 70 years of age and engaged in a range of different jobs and
functions. The interviews were recorded and transcribed and the NVIVO software was employed
to help in content data analysis. The findings reveal six major themes: personal, financial, family,
life planning, job and friends.
ER  -