Legend of leagues: heterogeneity in the revenue structure of European national leagues

IF 1.9 Q3 HOSPITALITY, LEISURE, SPORT & TOURISM
Zsolt Havran, Attila Kajos, Bálint Mazzag
{"title":"Legend of leagues: heterogeneity in the revenue structure of European national leagues","authors":"Zsolt Havran, Attila Kajos, Bálint Mazzag","doi":"10.1108/sbm-05-2023-0062","DOIUrl":null,"url":null,"abstract":"Purpose The environmental characteristics of international football can vary significantly from one country to another. As a result, the economic and market possibilities and the objectives of each national league are very heterogeneous. This article aims to examine the differences in revenue structures amongst European national football leagues (n = 50) and cluster them based on these structures. It also investigates which revenue structure would be more effective for similar leagues, considering the previously mentioned varying environmental characteristics of international football. Design/methodology/approach The study utilises a theoretical framework of business modelling, applied in a unique way to league organisers of national championships. Data on sports and business aspects were collected from sources such as the Union of European Football Associations (UEFA) Financial Benchmarking Reports, transfermarkt.de and related sources for the period 2015 to 2018. K-means cluster analysis, using the Euclidean distance approach, was employed to develop clusters based on revenue sources over a four-year average. Findings The paper presents the characteristics and year-to-year changes of nine developed clusters. Throughout the analysis, variables such as average overpayment and inequality between player values amongst leagues were prioritised. The study's practical implications can assist league organisers in enhancing the competitiveness of their leagues, supported by short case studies that provide illustrative examples. Originality/value The novelty of the current article lies in introducing innovative variables such as the variance of player value whilst focussing on meso-level analysis, providing a fresh contribution to the existing literature in the field for understanding revenue structures and performance in European national football leagues.","PeriodicalId":45818,"journal":{"name":"Sport Business and Management-An International Journal","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sport Business and Management-An International Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/sbm-05-2023-0062","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"HOSPITALITY, LEISURE, SPORT & TOURISM","Score":null,"Total":0}
引用次数: 0

Abstract

Purpose The environmental characteristics of international football can vary significantly from one country to another. As a result, the economic and market possibilities and the objectives of each national league are very heterogeneous. This article aims to examine the differences in revenue structures amongst European national football leagues (n = 50) and cluster them based on these structures. It also investigates which revenue structure would be more effective for similar leagues, considering the previously mentioned varying environmental characteristics of international football. Design/methodology/approach The study utilises a theoretical framework of business modelling, applied in a unique way to league organisers of national championships. Data on sports and business aspects were collected from sources such as the Union of European Football Associations (UEFA) Financial Benchmarking Reports, transfermarkt.de and related sources for the period 2015 to 2018. K-means cluster analysis, using the Euclidean distance approach, was employed to develop clusters based on revenue sources over a four-year average. Findings The paper presents the characteristics and year-to-year changes of nine developed clusters. Throughout the analysis, variables such as average overpayment and inequality between player values amongst leagues were prioritised. The study's practical implications can assist league organisers in enhancing the competitiveness of their leagues, supported by short case studies that provide illustrative examples. Originality/value The novelty of the current article lies in introducing innovative variables such as the variance of player value whilst focussing on meso-level analysis, providing a fresh contribution to the existing literature in the field for understanding revenue structures and performance in European national football leagues.
联赛传奇:欧洲国家联赛收入结构的异质性
国际足球的环境特征在不同的国家有很大的不同。因此,每个国家联赛的经济和市场可能性以及目标都是非常不同的。本文旨在研究欧洲国家足球联赛之间收入结构的差异(n = 50),并基于这些结构对它们进行聚类。考虑到前面提到的国际足球不同的环境特征,它还研究了哪种收入结构对类似的联赛更有效。该研究利用商业建模的理论框架,以一种独特的方式应用于全国锦标赛的联赛组织者。2015年至2018年期间,体育和商业方面的数据收集自欧洲足球协会联盟(UEFA)财务基准报告、transfermarket .de和相关来源。K-means聚类分析使用欧几里得距离方法,根据四年平均收入来源开发聚类。结果分析了9个发达集群的特征及其年际变化。在整个分析过程中,诸如平均超额报酬和联盟中球员价值之间的不平等等变量被优先考虑。该研究的实际意义可以帮助联赛组织者提高其联赛的竞争力,并通过提供说明性例子的简短案例研究来支持。原创性/价值当前文章的新颖之处在于引入创新变量,如球员价值的差异,同时关注中观分析,为理解欧洲国家足球联赛的收入结构和表现提供了新的贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Sport Business and Management-An International Journal
Sport Business and Management-An International Journal HOSPITALITY, LEISURE, SPORT & TOURISM-
CiteScore
4.10
自引率
15.40%
发文量
25
文献相关原料
公司名称 产品信息 采购帮参考价格
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信