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This study aims to identify an automated machine learning algorithm with high accuracy that sport practitioners can use to identify the specific factors for predicting Major League Baseball (MLB) attendance. Furthermore, by predicting spectators for each league (American League and National League) and division in MLB, the authors will identify the specific factors that increase accuracy, discuss them and provide implications for marketing strategies for academics and practitioners in sport.

This study used six years of daily MLB game data (2014–2019). All data were collected as predictors, such as game performance, weather and unemployment rate. Also, the attendance rate was obtained as an observation variable. The Random Forest, Lasso regression models and XGBoost were used to build the prediction model, and the analysis was conducted using Python 3.7.

The RMSE value was 0.14, and the R2 was 0.62 as a consequence of fine-tuning the tuning parameters of the XGBoost model, which had the best performance in forecasting the attendance rate. The most influential variables in the model are “Rank” of 0.247 and “Day of the week”, “Home team” and “Day/Night game” were shown as influential variables in order. The result was shown that the “Unemployment rate”, as a macroeconomic factor, has a value of 0.06 and weather factors were a total value of 0.147.

This research highlights unemployment rate as a determinant affecting MLB game attendance rates. Beyond contextual elements such as climate, the findings of this study underscore the significance of economic factors, particularly unemployment rates, necessitating further investigation into these factors to gain a more comprehensive understanding of game attendance.

The purpose of this paper was (1) to examine the underexplored intersection of sports betting and favorite team loyalty, and (2) to assess differences in gambling behavior among sport bettors by varying levels of team loyalty.

A total of 1,555 National Football League (NFL) bettors and non-betting NFL fans were surveyed to assess media consumption across a mix of team loyalty attitudes and betting behaviors.

Statistically significant differences were found between four types of NFL fans (casual, team loyalty-dominant, betting-dominant and hybrid) as it relates to media consumption in various forms. Most notably, the results suggested symbiosis between the activities.

The symbiosis finding, though preliminary, suggests the activity provides an additional platform for consumers to connect with spectator sport. Furthermore, the act of betting, like participation in fantasy sports, appears to spur consumption of the NFL product generally. The study, however, was limited to NFL fans, did not specify the method for sports betting, nor the intensity of gambling.

Teams should not worry that betting detracts from fan engagement with the team product. Also, leagues and media providers should continue to highlight betting content as participants consume at higher rates than non-participating sports fans.

Team fandom may potentially moderate problem behavior among bettors. The betting results indicate being a loyal team fan lowers one’s gambling spend per month and largest bet compared to non-loyal bettors. However, the hybrid fan showed significantly higher media consumption levels.

Sports fans have more opportunities to interact and engage with their favorite games than ever before. However, consumers have limited amounts of time and money, and this study is one of the first to examine differences in fan interests and behaviors related to sport betting and team loyalty and the resulting viewership and consumption behavior.

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.

This study aims to explore spectators' awareness of and attitudes toward sponsoring firms as well as to propose a model predicting their purchase and word-of-mouth (WOM) intentions toward the sponsors of a major sporting event during a pandemic crisis.

A quantitative method was used to collect the data, with 1,259 questionnaires being effectively collected and analyzed using SPSS and AMOS. Exploratory factor analysis (EFA), confirmatory factor analysis (CFA), path analysis and structural equation modeling (SEM) were used to analyze the data.

Factors such as sports involvement, sincerity, social media use, beliefs about sponsorship, sponsor's image, Covid-19 beliefs and emotions, awareness of and attitude toward sponsors were found to significantly predict spectators' purchase and WOM intentions.

The results support the structural equation model, providing a multidisciplinary conceptual framework that highlights the significance of comprehending the role of significant factors in sponsorship efficiency during the Covid-19 crisis. The proposed framework adds to the knowledge corpus of this field.

This study aims to identify the determining factors of perceived altruism and attitude toward an inclusive sponsorship activation, as well as the impact of these variables on the attitude toward the sponsor.

Online survey data were obtained from 1,228 respondents from France, the UK and South Africa. The data were analyzed using partial least squares structural equation modeling (PLS-SEM).

The results show that the cause-brand fit has a strong positive impact on the perceived altruism toward the motivations underlying inclusive activation, while skepticism toward advertising has a very weak negative impact. In return, perceived altruism positively influences the attitude toward inclusive activation and sponsor attitude. Furthermore, this attitude toward inclusive activation is positively influenced by involvement in women’s soccer and France men’s national football team identification. The attitude toward inclusive activation also positively influences the attitude toward sponsor attitude. However, contrary to what had been advanced, identification with the France women’s national football team and the nationality of the respondents (French, British or South African) had no impact on the attitude toward inclusive activation, while the perceived importance of the cause had very weak impact on attitudes toward inclusive activation.

This study highlights the potential benefits of investing in inclusive sponsorship activations, particularly with respect to their positive impact on consumer attitude toward sponsor attitude. It also highlights the importance of establishing, in advance, a strong association between the brand image and the cause supported, so that the motivations underlying the inclusive activations are perceived as more altruistic.

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 case was based on secondary data that included various websites, news and academic articles, social media posts and press conferences before, during and after the World Cup. Multiple sources were examined to ensure the accuracy and credibility of the information presented in this case. The goal was to gather relevant information on the Moroccan soccer team, its performance in the FIFA World Cup and the leadership strategies used by Walid Regragui.

“We are the dreamers, we let it happen: Morocco’s soccer team leadership story” explores the transformative journey of Morocco’s soccer team in the 2022 World Cup, highlighting the exceptional leadership of coach Walid Regragui and the power of shared values deeply rooted in Moroccan culture. The instructional manual provides faculty with a compelling case study to inspire discussions on leadership, followership, team dynamics and cultural identity. The case emphasizes the importance of harnessing cultural roots, building trust and unity within a diverse team, strategic vision and tactical brilliance. It demonstrates that with authentic leadership, belief in shared dreams and the strength of cultural values, extraordinary achievements can be realized. The case aims to inspire and educate students, encouraging them to embrace their own cultural heritage, foster teamwork and pursue their dreams with unwavering determination.

The academic level of this case can vary depending on the specific course or program in which it is being used. It is suitable for graduate levels in various fields such as leadership studies, sports management, organizational behavior, cultural studies, or international business. The case provides a comprehensive analysis of leadership, team dynamics and cultural identity, including faith and spirituality, making it adaptable for different academic levels and disciplines. Instructors can adjust the depth of analysis and additional readings or activities to align with the specific educational level and learning objectives of their course.

In the age of nine-figure transfer fees and football stars building their own brands and follower base, a shift in fan identification in football appears to be taking place as athletes can build strong connections with their followers. This paper examines the level of identification shown by football fans towards both their favourite team and their favourite player, in connection with the concept of fan loyalty.

A total of 4,707 international respondents participated in an online survey to examine the relationship between fan identification and fan loyalty, and to measure the impact of variables like country, player, club, on fan identification using multi-regression analyses.

The results underline the strong presence of team identification compared to identification of single players. Results have also revealed that the relationship between a fan's favourite team and player has a significant impact on identification levels towards both actors. Fans supporting a foreign club were found to show significantly stronger team identification than those who support a club from their own country or region.

This research contributes to the growing body of publications in the field of sports consumer research and underlines the importance of understanding the quality of relationships and thus the identification of fans with clubs and individual players for the stakeholders involved. International sports marketing is becoming increasingly important and an understanding of fan interests is essential for effective marketing, as information on trends in fan interests enables a more tailored strategy for clubs and sponsors.

This study focused on Ivorian track and field athletes who were current or former members of the Ivorian national team to understand athletes’ experiences with migration, diaspora and sport.

Participatory action research (PAR) methodology was used in this research study (Lenette and Nesvaderani, 2021). According to Schinke and Blodgett (2016), PAR is a type of qualitative research used to engage the researcher and researched. The researcher and researched work together to understand the issues of a situation and communicate a plan to work toward resolving those issues (Kemmis et al., 2014). Using PAR helped to engage multiple people in the study, and as more research studies explore forced migration and sport, more scholars are starting to lean on the methodology to create a more diverse perspective and to include marginalized populations in the world of scholarly research (Stone, 2018; Robinson et al., 2019).

Key findings illustrate Ivorian athletes’ ability to forge a bond that transcended tribal and political differences through geographical proximity and sport opportunity, allowing them to (re)connect with their Ivorian diaspora by representing the national team.

This research paper expands on past studies in sport and migration by showcasing the fluid nature of how diaspora constructs an athlete’s national identity once they are forced to leave their homeland.

This study investigates how the COVID-19 pandemic has affected the sustainability of sports business models by means of a specific case analysis, conducted on M-I Stadio S.r.l., the service management firm that provides all types of backstage activities related to football matches performed at San Siro Stadium in Italy.

Building on interviews on its management team's direct experience and on archival data, the authors depict the consequences of the pandemic in terms of corporate governance, accounting choices and overall strategic business development through information triangulation from a forward-looking perspective.

Complying with restrictions, M-I Stadio S.r.l. preserved its financial position by embracing digitalization, increasing information flows with partners and adopting a risk aversion behaviour. Overall, results indicate that the pandemic played a catalyst role in the transformation process of the football industry. Moreover, apart from the physical and virtual merge acceleration, well-being for athletes, society and the planet, transcending the gaming part of sports activities has also been taking place. The study also illustrates the foreseeable developments of sustainable sport management practices from a critical perspective.

Since the San Siro Stadium management company might represent one of the forefront companies, within the sports industry, this study results should be conveniently taken into consideration by sporting authorities and international bodies, emphasizing the relevance of sustainability (i.e. environmental and social practices within the sports industry) and digitalization so as to better prepare sports organizations and to provide the overall industry with the tools deemed necessary to navigate this important transition in a smoother way.