MétaCan
Menu
Retour à la cohorte
Enregistrement W2602900159

Evaluation of the Relationship between Financial Performance and Sport Success in European Football

2017· article· en· W2602900159 sur OpenAlexaboutno aff
İlker Sakınç, Süleyman AÇIKALIN, Aydoğan Soygüden

Notice bibliographique

RevueJournal of physical education and sport · 2017
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueSports Analytics and Performance
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésFootballChampionshipMarketingBusinessCompetition (biology)ClubCommercializationPublic relationsAdvertisingPolitical scienceLaw
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

(ProQuest: ... denotes formulae omitted.)IntroductionFootball is not only a sports game anymore. It is a key part of the global sports industry. Football clubs have turned the game into a billion dollar business by the commercialization of the game itself, their players and all products related to game such as names, stadiums, jerseys, and etc. Moreover, football clubs started to integrate their trademarks into various services, such as telephone services, credit cards with club advantages, using sponsorship agreements while naming their sports team or their stadiums.There is a very intense competition among football clubs in the European football arena. The meaning of success in sports and in finance is two different concepts. When the top performers of the European football clubs were reviewed, it is relatively easy to determine that success in the European football arena requires big budgets. The analysis of football clubs' performance could provide some insights to this matter.Generally football clubs have been established as associations due to tax benefits and other legal advantages of the status. Associations are a form of non-profit organizational structure and success is not generally an important goal for them. However, after the game had turned into a billion dollar business the understanding of football club management has changed. Finding funds to establish a strong football team with a top coach who is goal oriented, winning championship cups on a national and international level became a critical issue.The UEFA Executive Committee accepted the need for a new set of rules and regulations to provide financial fair play for the European football industry in 2009. The main aim is the long term viability of the European club football. The new rules imposed more discipline on club football finances. Football clubs are encouraged to invest in the infrastructure and the youth sector on one hand, and to compete with their revenues without external funds coming in and to settle their liabilities in a timely manner on the other hand (UEFA, 2015). The Club Financial Control Body (CFCB) was created as a new unit consisting of independent legal and experts who will be monitoring the implementation of new rules (Franck, 2014). These regulations imply the existence of an implicit relationship between the health and sporting success at least for the whole European football industry in the long run. Generally the performance of companies is related to success in their line of business. Therefore, it is quite normal to expect such a positive relation between the two criteria in the European football industry. There are however, other factors which could create a negative impact on the performance side. Sports club presidents and managers are generally ready to take risks to reach sports success, such as national or international championships. Football club presidents are generally chosen among wealthy businessmen as a result of increasing financing pressure on football clubs.. However, this situation might cause the exploitation of football clubs and personal interests could surpass the interest of the clubs. This point and its possible effects could be analyzed with the help of the principal-agent model framework. Therefore, one might argue that there could be a negative relationship between sports success and results in the short run.Corporate governance is the most suitable model answering the needs of football clubs. Football clubs whose shares are publicly traded in Italy, Canada and England must obey the corporate governance rules. In other words, corporate governance is a prerequisite for going public (Sonmez and Toksoy, 2011). In conclusion, clubs using corporate governance successfully have a better chance in finding funds from the capital markets, reducing the cost of capital, and reaching a better liquidity position (Ozturk and Demirgunes, 2008). …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,006
score de la tête « metaresearch » (Gemma)0,013
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,011
Score d'incertitude au seuil0,037

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0060,013
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0030,003
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0110,002

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,074
Tête enseignante GPT0,313
Écart entre enseignants0,239 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations21
Publié2017
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueJournal of physical education and sportMême sujetSports Analytics and PerformanceTravaux en français237 207