Despite the pervasive attention given to rivalry games or derby matches, a uniform definition or consistent research operationalization remains elusive. Based on the theoretical foundations of social identification and categorization, we conceptualize a rival group as a highly salient outgroup that poses an acute threat to the identity of the ingroup or to ingroup members’ ability to make positive comparisons between their group and the outgroup. Utilizing a mixed method design, we survey fans about their favorite team’s rival and identify 11 recurring elements: frequency of competition, defining moment, recent parity, historical parity, star factor, geography, relative dominance, competition for personnel, cultural similarity, cultural difference, and unfairness. Next, we measure the importance of the rivalry elements across a broader sampling of rivalries and employ an exploratory factor analysis to gauge our interpretation of the three dimensions underlying rivalry: Conflict, Peer, and Bias.
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Rival Conceptions of Rivalry: Why some competitions mean more than others
1. Rival Conceptions of Rivalry:
Why some competitions mean more
than others
European Sport Management Quarterly, 2015, v. 15(2), 227-248.
Joe B. Cobbs, PhD
Northern Kentucky University
B. David Tyler, PhD
Western Carolina University
4. Theoretical foundation
Social Identity Theory
Group-based categorizations to develop self-concept
(Ashforth & Mael, 1989; Ashmore, Deaux, & McLaughlin-Volpe, 2004; Hogg, 1992, 2003;
Hogg & Abrams, 1988; Tajfel & Turner, 1986; Turner, 1982)
Social categorization theory: similar to self are ‘ingroup;’
different comprise ‘outgroup’ (Stets & Burke, 2000)
Metacontrast principle: maximize differences between
categories; minimize differences within categories (Hogg & Terry,
2000; Jetten, Spears, & Manstead, 1998)
Definition of rival:
“a highly salient outgroup that poses an acute threat to the identity
of the ingroup or to ingroup members’ ability to make positive
comparisons between their group and the outgroup”
Lit Review Qualitative Survey Analysis Conclusion
5. Existing use of rivalry
Popular use
Sport entities, media, fans
Rivalry in strategic management
Competitive interaction
Presence of rival firms reduces margins
Also benefits to rivalry
Different reaction in sport…
Lit Review Qualitative Survey Analysis Conclusion
6. Short-run demand estimation models
A = β0+BX+e
Inconsistent application
Use rivalry proxies
Divisional affiliation
Distance – radius, border, mileage
Subjective rivalries
Panel of judges
Authors’ own beliefs
Missing: Clear understanding of what makes a rivalry
Rivalry in sport research
•Bruggink & Eaton, 1996
•McDonald & Rascher, 2000
•Paul, 2003
•Welki & Zlatoper, 1999
•Baimbridge et al., 1995
•Falter et al., 2008
•Morley & Thomas, 2007
•Peel & Thomas, 1988; 1992
•Boyd & Krehbiel, 2003
•Pacey & Wickham, 1985
•Benz et al., 2006
•Buraimo, 2007
•Forrest et al., 2005
•Garcia & Rodriguez, 2002
Lit Review Qualitative Survey Analysis Conclusion
7. Qualitative inquiry
Description of sample
Purposeful convenience sample
38 respondents
81% response rate
75 rivalries
53 unique
Football
(NCAA)
25%
Football
(pro)
23%
Baseball
(MLB)
23%
Basketball
(NCAA)
9%
Basketball
(pro)
4%
Hockey
4% Other
12%
Lit Review Qualitative Survey Analysis Conclusion
Questions
Characteristics of rivalry (open-ended)
Think of your favorite team & that team’s rival
What characteristics make it a rivalry?
8. Emergent antecedents to rivalry
Defining moment Geography Star factors
Frequency of competition Competition for personnel Relative dominance
Parity (historical) Cultural similarity Unfairness
Parity (recent) Cultural difference
Lit Review Qualitative Survey Analysis Conclusion
9. Why is this a rivalry? (antecedents)
Initial qualitative inquiry – Results
“They are two best
currently, but also have
the most championships
in the history of the sport.
There is some national
pride as well. Ferrari for
Italy, but also McLaren
(English).”
Coded as:
•Parity
•Cultural difference
Lit Review Qualitative Survey Analysis Conclusion
10. Why is this a rivalry? (antecedents)
Initial qualitative inquiry – Results
“Proximity. Fan Base that overlaps.
Long standing programs. Jim
Brown versus the always stellar
Pittsburgh Defense”
Coded as:
•Geography
•Cultural similarity
•Fan dedication/loyalty
•History
•Star factors
Lit Review Qualitative Survey Analysis Conclusion
11. Questionnaire
Sample
Undergraduate students at three
large, public universities
429 usable responses
Choose rival of favorite team
Think about rival compared to
other competitors
Evaluate antecedents to rivalry
Rate importance of each factor
(Likert scale)
Lit Review Qualitative Survey Analysis Conclusion
12. Descriptive stats: Importance to rivalry
Rivalry elements Mean SD
Frequency of competition 5.12 1.03
Defining moment 4.72 1.22
Recent parity 4.72 1.23
Historical parity 4.70 1.22
Star factor 4.70 1.25
Geography 4.61 1.41
Relative dominance 4.52 1.35
Competition for personnel 4.38 1.34
Cultural similarity 4.12 1.38
Cultural difference 3.51 1.49
Unfairness 3.37 1.51
Lit Review Qualitative Survey Analysis Conclusion
13. EFA pattern matrix
Rivalry elements Conflict Peer Bias
Recent parity 0.73 0.04 -0.06
Frequency of competition 0.69 -0.18 -0.07
Historical parity 0.64 0.02 -0.02
Star factor 0.56 -0.01 0.20
Defining moment 0.47 0.03 0.23
Competition for personnel 0.33 -0.23 0.23
Geography 0.01 -0.85 -0.04
Cultural similarity 0.07 -0.38 0.30
Unfairness 0.01 0.07 0.72
Cultural difference -0.03 -0.08 0.62
Relative dominance 0.18 -0.06 0.43Note: Extraction via principal axis factoring; oblimin rotation.
Loadings > |0.3| in bold
Lit Review Qualitative Survey Analysis Conclusion
14. Contribution
First attempt: empirical exploration of sports rivalries
Qualitative inquiry and analysis
Factor development
Benefits
Academic
Demand estimation accuracy
Practitioner
Efforts to develop rivalry
Lit Review Qualitative Survey Analysis Conclusion
15. Challenges/Limitations & Future directions
Concept of rivalries
Heterogeneity of rivalry factors
Potential bi-directionality of rival intensity
Measuring rivalry intensity
Advance understanding of sport rivalries
Predictive model
Quantifiable outcomes
Expand to corporate rivalry
Beyond Porter’s 5-forces
Lit Review Qualitative Survey Analysis Conclusion