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Information Journal Paper

Title

Designing Structural Equation Modeling of Team Image and Fans’ Team Identification in Sport Industry

Pages

  1-16

Abstract

 Objective: the purpose of this study was to investigate the role of team image in fan’ s team identification in Iran’ s sport industry via structural equation modeling. Methodology: The research method was descriptive-correlation. The statistical population of the study included all fans over 18 years old in the Premier League in 2015/16 season. 640 questionnaires were analyzed as statistical sample. Heer and et al (2011), questionnaire and Chun (2008), questionnaire, to measure team identification and team image were used respectively. After confirming the face and content validity of questionnaires, For the reliability of team identification and team image questionnaires Cronbach’ s alpha coefficient (α =. 93; α =. 81) were estimated respectively in a pilot study. Results: Structural equation model analysis showed that team image has positive and significant effect on fans’ team identification. Conclusion: So, It is recommended to sport managers, to consider the issues such as appreciate the fans and fair play to creating a positive team image in the mind of fans in order to create and enhance the team identification.

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    APA: Copy

    MONTAZERI, ALI, TALEBPOUR, MAHDI, ANDAM, REZA, & KAZEMNEJAD, ANOOSHIRVAN. (2018). Designing Structural Equation Modeling of Team Image and Fans’ Team Identification in Sport Industry. SPORT MANAGEMENT AND DEVELOPMENT, 7(3 (15) ), 1-16. SID. https://sid.ir/paper/400475/en

    Vancouver: Copy

    MONTAZERI ALI, TALEBPOUR MAHDI, ANDAM REZA, KAZEMNEJAD ANOOSHIRVAN. Designing Structural Equation Modeling of Team Image and Fans’ Team Identification in Sport Industry. SPORT MANAGEMENT AND DEVELOPMENT[Internet]. 2018;7(3 (15) ):1-16. Available from: https://sid.ir/paper/400475/en

    IEEE: Copy

    ALI MONTAZERI, MAHDI TALEBPOUR, REZA ANDAM, and ANOOSHIRVAN KAZEMNEJAD, “Designing Structural Equation Modeling of Team Image and Fans’ Team Identification in Sport Industry,” SPORT MANAGEMENT AND DEVELOPMENT, vol. 7, no. 3 (15) , pp. 1–16, 2018, [Online]. Available: https://sid.ir/paper/400475/en

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