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Can strategic management of professional football clubs lead to a sustainable advantage? : prediction of success and failure of German professional football clubs

  • The dissertation comprises four manuscripts that aim to enhance the knowledge on strategic man-agement of professional football clubs within Germany, especially with regard to the prediction of success. Apart from manuscript A which is a review of extant literature of football manage-ment variables leading to success, and manuscript B, which is a qualitative investigation on sus-tainable success factors affecting professional football clubs, the remaining manuscripts C and D comprise two empirical studies; they can be further partitioned in manuscript C, investigating the prediction of failure with the worst-case scenario of bankruptcy and manuscript D, covering the prediction of failure and success in a proof of concept based on machine learning.

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Document Type:Doctoral Thesis
Author:Johannes Philipp Schregel
Referee:Henning Z├╝lchORCiD, Dominik K. KanbachORCiD
Chairs and Professorships:Chair of Accounting and Auditing
Full text/ URN:urn:nbn:de:bsz:14-qucosa2-767290
Place of publication:Leipzig
Year of Completion:2021
Page Number:XV, 118
Date of final exam:2021/11/15
Tag:Machine learning; Predictive analytics; Professional football club management; Risk management; Strategic sports management
Identifying football management variables that lead to sustainable success in professional European football clubs - a literature review. Measuring robustness: sustainable success factors affecting professional football clubs. Bankruptcy prediction in German professional football-consideration of potential COVID-19 effects. The FoMa Q-Score as an intelligent prediction model for the Bundesliga based on machine learning - a proof of concept.
260-1-__-$a Leipzig
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International