A influência do rendimento esportivo no desempenho econômico-financeiro: Uma análise com clubes de futebol brasileiros durante 2013-2017

The main purpose of this study is to try to measure financial performance in the professional football industry, where the effect of the labor factor is heavily felt. In this context, the impact of the transfer revenues and expenses of 13 football clubs in the Stoxx European Football Index on financial performance is analyzed by panel data method. In this respect, three models are created considering the transfer income/expenses and accounting-based financial performance indicators such as return on assets (ROA), return on equity (ROE) and profit margin before interest and tax (EBITDA) between 2004-2022. According to the findings, the transfer expenses variable gave a statistically significant result in ROS and EBITDA models, while the second model, ROE, this result could not be achieved. In the study, it is observed that the fact that the championship in the national leagues, where football clubs operates, has a positive effect on the impact of financial performance.

show abstract

How complexity affects and shapes the dynamics in the football industry

Nigro,

Curiello,

Iannuzzi

et al. 2024

CORPORATE GOVERNANCE AND RESEARCH &Amp; DEVELOPMENT STUDIES

View full text Add to dashboard Cite

This paper examines the complex dynamics at play within the football industry, highlighting how intricate and auto-catalytic processes impact and shape its operational landscape. By examining the interplay and mutual interactions in the objective functions (1) and the transition stages in the value chain (2), the study tries to shed light on the very diverse range of interactions characterising football industry. By examining the interplay and mutual interactions within the objective functions system (1), a source of complexity was found due to the impossibility of isolating the effect of a single variable on the entire structure. Then, the study analysed the transition stages in the value chain (2), from lower levels to elite competitions and vice versa, revealing the complexity that impacts the organisation, strategies, and decision-making of football clubs. The paper aims to evaluate the contributions of different components, such as economic and financial requirements and team achievements, to the self-sustaining nature of the football ecosystem. By examining these two themes, this article aims to provide a critical analysis of the intricacies of the football industry. This analysis should aid in identifying potential avenues for future research and determining the managerial frameworks and mechanisms required to navigate this complex industry. * Despite being a collaborative effort, §§ 1, 3.3 and 4 are attributed to Claudio Nigro; § 3.1 to Simona Curiello; §§ 3.3.1, 3.3.2 and 3.3.3 to Enrica Iannuzzi; §§ 3.2, 3.2.1 and 3.2.2 to Enrico Lubrano; §§ 2, 3 and 5 to Vincenzo Sanguigni; § 3.4 to Raffaele Silvestri; §§ 2.1, 2.2, 2.3, 3.1.1 and 3.1.2 to Rosa Spinnato.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

A influência do rendimento esportivo no desempenho econômico-financeiro: Uma análise com clubes de futebol brasileiros durante 2013-2017

Cited by 6 publications

References 11 publications

Using multi-criteria decision-making and machine learning for football player selection and performance prediction: a systematic review

Using multi-criteria decision-making and machine learning for football player selection and performance prediction: a systematic review

The Impact of Football Player Transfers on Financial Performance: A Research on STOXX European Football Index

How complexity affects and shapes the dynamics in the football industry

Contact Info

Product

Resources

About