Rivalry in Sport: Understanding Fan Behavior and Organizations

2021 ◽  
pp. 1-2
Author(s):  
Jim Riordan
Keyword(s):  
Fan Behavior

Implicit and Explicit Affective Evaluations of Athlete Brands: The Associative Evaluation–Emotional Appraisal–Intention Model of Athlete Endorsements

2018 ◽  
Vol 32 (6) ◽  
pp. 497-510 ◽  
Author(s):  
Yonghwan Chang ◽  
Yong Jae Ko ◽  
Brad D. Carlson
Keyword(s):  
Implicit Attitudes ◽  
Emotional Responses ◽  
Perceived Fit ◽  
Explicit Attitudes ◽  
Fan Behavior ◽  
Affective Attitudes ◽  
Emotional Appraisal ◽  
Athlete Endorsements ◽  
Implicit And Explicit ◽  
Implicit And Explicit Attitudes

The researchers explore consumers’ emotional responses toward athlete brands by developing the associative evaluation–emotional appraisal–intention (AEI) model. The AEI postulates that unconscious (implicit attitudes) and conscious (explicit affective attitudes) levels of emotional responses systematically flow following assessments of perceived fit in athlete endorsements. Implicit attitudes were measured through the implicit association test, whereas pleasure, arousal, and pride captured explicit affective attitudes. Contrary to dominant beliefs about successful athlete endorsements, findings from a lab experiment indicate that low perceived fit affected implicit attitudes, which in turn affected arousal for consumers with high involvement. Pleasure, arousal, and pride were interrelated and systematically determined behavioral intentions of viewership and online friendship with athletes. Studies investigating athlete brands and endorsement success should consider the influence of both implicit and explicit attitudes on fan behavior. Managers should strategically utilize both low and high fit endorsements to facilitate emotional experiences and optimize desired consumption behavior.

From Strategic Retweets to Group Hangs: Writers’ Room Twitter Accounts and the Productive Ecosystem of TV Social Media Fans

2017 ◽  
Vol 19 (5) ◽  
pp. 415-430 ◽  
Author(s):  
Annemarie Navar-Gill
Keyword(s):  
Social Media ◽  
Fan Behavior ◽  
The Media ◽  
A Priority ◽  
Context Shapes ◽  
Industry Needs ◽  
Industrial Context

In the current participatory television environment, social media serves both a social backchannel for interactions between audience members and a direct line of communication between audiences and production. Because audience activity on social media becomes part of the media brand, it is a priority for the industry to achieve some level of control/influence on that activity. In this article, I discuss writers’ room Twitter accounts as a space used to model and reinforce fan behavior that serves industry interests, arguing that these accounts serve industry needs through the behaviors they promote and recognize. Through analysis of three writers’ room Twitter accounts—for Jane the Virgin, Faking It, and Orange Is the New Black—I show how this process works, as well as the ways in which a show’s individual industrial context shapes the type of fan that is hailed.

Out-Group Treatment in Higher Education

2019 ◽  
pp. 65-86
Author(s):  
Cody T. Havard ◽  
Timothy T. Ryan ◽  
Skylar S. Workman
Keyword(s):  
Higher Education ◽  
College Students ◽  
Student Perceptions ◽  
Group Treatment ◽  
Future Research ◽  
Fan Behavior

The chapter investigates differences in the ways college students compare to out-groups using the different NCAA competition divisions. In particular, students enrolled at schools in all six (i.e., Power Five, Group of Five, FCS, DI No Football, DII, DIII) reported their perceptions of rival school's athletics teams using the Sport Rivalry Fan Perception Scale (SRFPS). Differences were found regarding student perceptions among competition divisions. Specifically, attendance at a Power Five School influenced student's willingness to support rival teams against other teams, the enjoyment from defeating the rival team, perceptions of rival academic prestige and fan behavior, and likelihood of experiencing Glory Out of Reflected Failure (GORFing), or celebrating when the rival experiences indirect failure. Further, students attending DI No Football Schools and DIII Schools chose academic prestige as a way to derogate their rival schools. Discussion focuses on implications to higher education and avenues for future research.

Steer clear of legal, PR damage triggered by fan behavior, public comments

2019 ◽  
Vol 15 (10) ◽  
pp. 1-5
Author(s):  
Timothy O'Brien
Keyword(s):  
Fan Behavior

Sci-Fi Fandoms in the Digital Age

2022 ◽  
pp. 127-144
Author(s):  
Gabrielle T Loehr ◽  
Lee Shackleford ◽  
Karen Elizabeth Dill-Shackleford ◽  
Melody Metcalf
Keyword(s):  
Social Media ◽  
Life Cycle ◽  
Digital Age ◽  
Group Behavior ◽  
Individual Behavior ◽  
The Internet ◽  
Doctor Who ◽  
Online Groups ◽  
Star Wars ◽  
Fan Behavior

This chapter discusses the evolution of the Doctor Who, Star Wars, and Star Trek fandoms from their beginnings to their current releases. These brief histories highlight how fans communicated with each other before social media and how those communications changed with the advent of the internet and social media. The dynamics of online groups, individual behavior in online groups, and the life cycle of a group are all discussed before moving onto trolling and the spectrum of online incivility. Overall, most of the trolling that occurs in sci-fi fandoms comes from devotion to the franchise rather than from the desire to be divisive or negative. However, some online incivility is solely guided by sexism, racism, and the desire to sow social discord. Two examples of sexist and racist fan behavior from Star Wars: The Last Jedi illustrates the different motivations of fandom trolls as well as ways to respond. Although every fandom is different, group behavior is predictable thus insights from these iconic sci-fi fandoms can be applied to many different fandoms.

Predicting Fan Behavior Through Egocentric Network Analysis: Examining Season-Ticket Holder Renewal

2020 ◽  
Vol 34 (3) ◽  
pp. 217-228
Author(s):  
Matthew Katz ◽  
Bob Heere ◽  
E. Nicole Melton
Keyword(s):  
Network Analysis ◽  
Network Theory ◽  
College Football ◽  
Research Approach ◽  
Season Ticket ◽  
Sport Fans ◽  
Fan Behavior ◽  
Past Behavior ◽  
Sport Fan ◽  
Egocentric Network

The purpose of this study is to utilize egocentric network analysis to predict repurchase behaviors for college football season-ticket holders. Using a research approach grounded in network theory, we included the relational and behavioral characteristics of sport fans in a binomial regression model to predict renewal decisions among college football season-ticket holders. More specifically, we developed a model that incorporates the egocentric network variables, past behavior, and behavioral intentions to empirically test which consumer characteristics predict future behavior. Building on previous research emphasizing the role of socializing agents and social connections in sport fan consumption, through the use of egocentric network analysis, we examined the effects of social structure and social context on repurchasing decisions. Moreover, the present study is positioned within the larger discourse on season-ticket holders, as we aimed to add a network theory perspective to the existing research on season-ticket holder churn and renewal.

Creating a Fan Community for Sport Teams Through Social Media

2019 ◽  
Vol 11 (1) ◽  
pp. 35-47
Author(s):  
Rosalyn J. Rufer ◽  
Lisa S. Rufer
Keyword(s):  
Social Media ◽  
Empirical Data ◽  
Sense Of Belonging ◽  
National Basketball Association ◽  
Fan Behavior ◽  
Fan Communities ◽  
Sport Teams ◽  
Sports Team ◽  
And Behavior ◽  
The Relationship

With so many people using social media, it is no surprise that sports team at all levels are looking to use social media to increase interactions with the spectators. Consumers appear to choose to use social media to connect with the team, other fans, and feel a sense of belonging to a community. There are many articles that discuss the relationship between social media and sport; however, many of them are not supported with empirical data, nor do they address the gap between fan communities and behavior. This study uses empirical data to try to prove that there is a relationship between social media and creating a brand community for teams in the National Basketball Association (NBA). It adds to the literature by providing empirical evidence between fan communities and fan behavior.

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