Acta Universitatis Carolinae Kinanthropologica (AUC Kinanthropologica) is an international peer reviewed journal for the publication of research outcomes in the humanities, the social sciences and the natural sciences, as applied to kinathropology. It is a multidisciplinary journal accepting only original unpublished articles in English in the various sub-disciplines and related fields of kinanthropology, such as Anthropology, Anthropomotorics, Sports Pedagogy, Sociology of Sport, Philosophy of Sport, History of Sport, Physiology of Sport And Exercise, Physical Education, Applied Physical Education, Physiotherapy, Human Biomechanics, Psychology of Sport, Sports Training and Coaching, Sport Management, etc. The journal also welcomes interdisciplinary articles. The journal also includes reports of relevant activities and reviews of relevant publications.
The journal is abstracted and indexed by CNKI, DOAJ, EBSCO, ERIH PLUS, SPOLIT, SPORTDiscus, and Ulrichsweb.
AUC KINANTHROPOLOGICA, Vol 59 No 1 (2023), 29–44
Productive efficiency of Premier League teams using an enhanced data envelopment analysis approach
Jan Šíma, Josef Voráček, Jiří Kraft, Veronika Krause
DOI: https://doi.org/10.14712/23366052.2023.3
published online: 04. 07. 2023
abstract
The study focuses on evaluating the economic efficiency of professional football clubs. It builds on the Haas Study, which examines the effectiveness of individual clubs through Data Envelopment Analysis (DEA). DEA analyses different types of inputs and outputs for homogeneous production units (in this case football clubs). The thesis proposes the modification of this model. The author considers the initial “hometown population” contribution of Haas as particularly outdated with regard to the increasing commercialisation of professional football and globalisation of the market, where the size of demand is primarily determined by the global popularity measured in terms of interest of the fans, sponsors, and television broadcasting companies. The global popularity of the club can easily be estimated at present using the number of fans in social networks. The clubs reflect this target on the side of the outputs – “increase of the number of fans in the social network”. Facebook was chosen as the representative of the social networks. The proposed model is used in the paper for calculation of the economic efficiency of the participants in the English Premier League in the 2016–2017 season.
keywords: football club; social network; DEA-BCC
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