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From the buying club’s perspective, the transfer of a player can be interpreted as an investment from which the club expects uncertain future benefits. This paper aims to develop a decision-oriented approach for the valuation of football players that could theoretically help clubs determine the subjective value of investing in a player to assess its potential economic advantage.

We build on a semi-investment-theoretical risk-value model and elaborate an approach that can be applied in imperfect markets under uncertainty. Furthermore, we illustrate the valuation process with a numerical example based on fictitious data. Due to this explicitly intended decision support, our approach differs fundamentally from a large part of the literature, which is empirically based and attempts to explain observable figures through various influencing factors.

We propose a semi-investment-theoretical valuation approach that is based on a two-step model, namely, a first valuation at the club level and a final calculation to determine the decision value for an individual player. In contrast to the previous literature, we do not rely on an econometric framework that attempts to explain observable past variables but rather present a general, forward-looking decision model that can support managers in their investment decisions.

This approach is the first to show managers how to make an economically rational investment decision by determining the maximum payable price. Nevertheless, there is no normative requirement for the decision-maker. The club will obviously have to supplement the calculus with nonfinancial objectives. Overall, our paper can constitute a first step toward decision-oriented player valuation and for theoretical comparison with practical investment decisions in football clubs, which obviously take into account other specific sports team decisions.

The purpose of this study is to examine the effects of four different sport programs on various social and subjective health outcomes among prisoners.

Four different sport programs (endurance, strength, dance-like martial arts, soccer) were provided in 2020 and 2021 in a German prison. Participants completed paper-pencil surveys before and after the sport programs (n = 134 observations), including questions about potential social health (enjoyment of physical activity, interpersonal exchange, interpersonal trust, self-efficacy) and subjective health outcomes (health status, health satisfaction, well-being). Further information such as prisoner characteristics were added to the data.

Results of regression analyses show that the endurance program had a significant positive effect on interpersonal trust, while the soccer program had a negative effect. Subjective well-being increased significantly after the strength and the soccer program. The weekly sport hours before imprisonment had a positive association with enjoyment of physical activity and interpersonal exchange while being negatively related to health status and health satisfaction. Furthermore, the number of months of imprisonment before the survey, being a young offender, the prisoners’ body mass index, educational level and migration background were significantly associated with several social and subjective health outcomes.

This study analyzed the effects of different sport programs for prisoners on various social and subjective health outcomes, revealing differences across programs and outcomes. The findings suggest that sport can be a way to enhance prisoners’ social and subjective health, ultimately facilitating their rehabilitation process.

This paper explores sports consumer interest in virtual environments (VE) and Web3 activations, specifically how the level of psychological involvement, consumers' generational cohorts and previous experience with VE and Web3 activations influence consumer interest in VE and Web3 products and services related to their favorite sports team.

A survey instrument was developed and distributed online resulting in a sample size of n = 526. The survey was designed to measure consumers' psychological involvement with their favorite sports team based on the Psychological Continuum Model, and to determine respondents' interest in potential VE and Web3 activations. Finally, the survey collected demographical information and data regarding respondents' previous experience with VE and Web3 applications. Multiple regression analysis was subsequently conducted to predict the impact of (1) psychological involvement, (2) consumers' generational cohorts and (3) previous experience with VE and Web3 activations on the dependent variable consumer interest in VE and Web3 activations.

The regression model showed a significant impact of the independent variables on consumer interest in VE and Web3 activations with consumer involvement exerting the highest influence. Consumers' previous experience with VE and Web3 applications also seems to trigger interest, in line with the consumption capital theory. This study also suggests that younger generational cohorts are not intrinsically more attracted to VE and Web3 activations but their interest seems to depend on the type of activation.

This study is intended as a first assessment of independent variables that may have an impact on sports consumer interest in VE and Web3 activations. Further research is needed to assess the impact these variables combined with other indicators may have on consumer interest, for instance by employing a Structural Equation Modelling (SEM) approach. This research included selected VE and Web3 applications comprising online games, NFTs and cryptocurrencies, to calculate a VE and Web3 Literacy Score for the purpose of this paper. However, the “umbrella term Web3” (Wang et al., 2022) could indicate a number of additional applications not considered in this research. Future studies could examine sports consumer experience with additional Web3 activations when assessing VE and Web3 Literacy.

The results of this research imply the need for a diversification of the VE and Web3 portfolio offered by sports teams to cater to different consumer segments. Upcoming challenges for sports teams include motivating younger consumers to take an interest in Web3 activations beyond gaming. Additionally, sports teams should encourage loyal supporters in the advanced stages of the PCM who possess limited VE and Web3 experience, to engage in VE and Web3 activations through simplified offers complementing their overall fan experience.

VE and Web3 activations currently offered by sports teams are still in their early stages and data underpinning their success is scarce. This is the first study examining variables that may influence consumer interest in a sports context.

The purpose is to review literature on sports season ticket subscriptions to distil current knowledge and guide future research and practice.

A systematic literature review is conducted of research on sports season tickets, a long-established and innovative subscription category.

In-depth examination of 28 papers showed a focus on drivers of satisfaction, churn and renewal causes, and product utilisation rates. Subscription markets typically involve many “solely loyal” consumers, most purchasing one or two subscriptions in a category. From reduced barriers to entry and exit to “curated” subscriptions, subscription marketing is changing very quickly. Sports marketers build relationships with subscribers using behavioural data, tier benefits to distinguish between casual and subscribing customers, and create recall and scarcity around key aspects of subscription to combat churn and increase utilisation.

Scarce research on subscription marketing practices remains the primary limitation. Existing research suggests that strong connections between subscriber and organisation, heavy product utilisation and/or strong barriers to switching drive customer satisfaction and retention.

Rapid expansion of subscription products should reduce “excess loyalty”, meaning that subscription models' main benefit will be limited to reoccurring revenue. Exceptions occur when consumers are heavily connected to the product or have little provider choice, so allocate their category buying exclusively. New subscription products face myriad challenges. Guidance on effective subscription marketing from sports marketing research and practice is outlined.

By combining research on market structure, marketing empirical generalisations and subscription marketing, this paper guides future research and practice.

Previous studies focused predominantly on wage dispersion within men’ sports teams. This study aims to reveal how the relationship between wage dispersion and team performance applies for women’s sport.

The sample comprises 168 observations of four consecutive National Basketball Association (NBA) and Women’s National Basketball Association (WNBA) regular seasons (2018–2021). Eight econometric models are performed for comparing the leagues.

The findings indicate that the wage dispersion within the squads affects the women’s and men’s basketball teams differently. Cohesiveness theory is applicable for WNBA teams, while NBA teams follow the tournament theory.

To the best of the authors’ knowledge, this is the first paper which inspects the relationship between wage dispersion and team performance using data from women’s sports. Further research may examine whether the differences found in sports also apply in different labor markets.

Professional sports teams employ highly paid managers and coaches to train players and make tactical and strategic team decisions. A large literature analyzes the impact of manager decisions on team outcomes. Empirical analysis of manager decisions requires a quantifiable proxy variable for manager decisions. Previous research focused on manager dismissals, tenure on teams, the number of substitutions made in games or the number of healthy players on rosters held out of games for rest, generally finding small positive impacts of manager decisions on team success.

The authors quantify manager decisions by developing a novel measure of game-specific coaching decisions: the Herfindahl–Hirschman Index (HHI) of playing-time across players on a team roster over the course of a season.

Evidence from two-way fixed effects regression models explaining observed variation in National Basketball Association team winning percentage over the 1999–2000 to 2018–2019 seasons show a significant association between managers’ allocation of playing time and team success. A one standard deviation change in playing-time HHI that reflects a flattened distribution of player talent is associated with between one and two additional wins per season, holding the talent of players on the team roster constant. Heterogeneity exists in the impact across teams with different player talent.

This is one of the first papers to examine playing-time concentration in the NBA. The results are important for understanding how managerial decisions about resource allocation lead to sustained competitive advantage. Linking coaching decisions to wins can help teams to better promote this core product.

While much of the literature testing for shirking by professional athletes have used performance metrics, some works have quantified shirking in dollar terms by comparing salary to estimated marginal revenue product (MRP). However, Ordinary Least Squares (OLS) approaches to measuring shirking by comparing salary to MRP have an endogeneity problem, as salary and contract length are determined simultaneously. We test for shirking in Major League Baseball (MLB) using an MRP approach, addressing this potential endogeneity.

This paper uses instrumental variables regression to address potential endogeneity using MLB season-level player and team data from 2010 to 2017.

Using OLS regression, the impact of an additional year of guaranteed contract on shirking is estimated at approximately $1m in 2010 US dollars, and the impact of having a long-term contract is estimated at $5m, estimates comparable to those in the literature. Using instrumental variables regression, these impacts increase to $1.6m and over $9m in 2010 dollars.

Given large, causal shirking estimates, profit maximizing sports organizations should take caution when negotiating long-term contracts. These findings also have important implications for other labor market settings where workers feel job security.

To our knowledge, this is the first work testing for shirking in sports using an MRP approach which uses instrumental variables regression to address potential endogeneity.

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.

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.

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.

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.

This research aims to focus on the strategic management by National Olympic Committees (NOCs) during the COVID-19 crisis. The authors investigate “How are strategies being developed within European NOCs to tackle the impact of the corona crisis?” and “which measures have proven to be particularly helpful?”

The research uses a sequential exploratory mixed-methods approach. Five high-level representatives of European NOCs were interviewed using expert interviews to gain insights into their strategy development process. The interviews were analyzed using qualitative content analysis, and a questionnaire was developed based on the results. Nineteen other European NOCs were surveyed using this questionnaire to verify the strategy development process steps on a larger sample.

The research resulted in a six-step NOC strategy development process framework, with helpful measures for each step. It can help the organizations to better cope with current or upcoming crises.

This framework can serve as a guide for NOCs to find the right steps and measures to better perform in crisis situations.

Ticket sales are an essential source of income for football clubs and federations. Analyzing the determinants of fans' willingness-to-pay for tickets is therefore an important exercise. By knowing the match- and fan-related characteristics that influence how much a fan wants to pay for a ticket, as well as to what extent, football clubs and federations can modify their ticket offering and targeting in order to optimize this revenue stream.

Using a detailed discrete choice experiment, based on McFadden's random utility theory, this paper formulates a Bayesian hierarchical multinomial logit model. Such models are very common in the discrete choice modeling literature. The analysis identifies to what extent match and personal attributes influence fans' willingness-to-pay for games of the Belgian men's and women's football national teams.

The results show that the strength of the opponent, the type of competition, the location of the seats in the stadium, the day and kick-off time of the match and the ticket price exert an influence on the choice of the respondent. Fans are attracted most by competitive games against strong opponents. They prefer to sit along the sideline, and they have clear preferences for specific kick-off days and times. The authors also find substantial variation between socio-demographic groups, defined in terms of factors such as age, gender and family composition.

The authors use the results to estimate the willingness-to-pay for match tickets for different socio-demographic groups. Their findings are useful for football clubs and federations interested in optimizing the prices of their match tickets.

To the best of the authors' knowledge, no stated preference methods, such as discrete choice analysis, have been used to analyze the willingness-to-pay of sports fans. The advantage of discrete choice analysis is that options and variations in tickets that are not yet available in practice can be studied, allowing football organizations to increase revenues from new ticketing instruments.