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.
Document Type: | Doctoral Thesis |
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Language: | English |
Author: | Johannes Philipp Schregel |
Referee: | Henning ZülchORCiD, 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 |
Note: | included: 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): | ![]() |