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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.

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.

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.

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.

The purpose of this commentary is to discuss a framework (the Revised Model of Sport Consumer Behavior – R-MSCB; Trail, 2019) to accomplish the following objectives. (1) Provide a framework for sport marketers and sport organizations to use in their own market research. (2) Designate the processes needed to generate results and knowledge that sport organizations, sport marketers and associated corporate partners can use to improve marketing campaigns. (3) Provide suggestions for analytic techniques and measurement constructs/instruments that will facilitate market research within the sport industry.

The author created a 140-item questionnaire for the pre-survey and a 50-item questionnaire for the post-survey. The pre-survey was given at the beginning of the season, and the post-survey was given at the end of the season. The research group has generated a sequence of 13 studies and has collected pre-survey responses from over 7,800 people across 4 continents, 8 sports and 13 teams (data collections), with more teams still planned and over 2,000 post-season survey responses with data collection continuing.

This project, with its 13 studies, will provide sport organizations with the theories/frameworks, knowledge and processes to do their own market research in a more effective and efficient manner and will show sport organizations how to understand the complexities of sport consumer behavior, the motivations behind it and how it varies extensively across individuals. The author will show sports organizations how to collect data from their consumers using valid and reliable measures and constructs that will allow them to segment their consumers, how to effectively market to those segments and how to establish long-lasting relationships that make a satisfied and loyal customer.

This paper provides the framework and guidelines so that sport marketers and researchers can identify specific variables, constructs and relationships that will further their own objectives when attempting to explain sport consumer behavior. Using their own market research, they can implement the results/output in association with the Communications Strategy Model to create more effective and efficient marketing and communications campaigns and consequently drive key performance indicators (KPIs) and improve revenue streams.

The purpose of this study was to compare four different consumer pathway models based on identity theory, attitude/loyalty theory, lifestyle theory and hierarchy of effects theory, each with associated instruments measuring connection to the team.

The authors did a two-study analysis, first collecting data from people aware of an NFL team (N = 218) and then an MLS team (N = 209) to determine which connection item performed better.

The authors found that the Consumer Pathway for Sport Fandom based on the hierarchy of effects theory and its associated interest measurement item performed better than the other three frameworks and items. The Interest item shared the most variance with games attended, games intending to attend, games watched via media and games intending to watch via media.

The Consumer Pathway for Sport Fandom represents the entire consumer spectrum from non-aware consumers all the way up to die-hard sports fans. This pathway will allow sport marketers to track their consumers from initial awareness of the product or service all the way through the brand relationship to ultimate loyalty.

National surveys reveal that sports fans exhibit greater support for athletes, sports teams and leagues endorsing social justice initiatives compared to the general population, highlighting the potential of sports for positive social impact. This study investigates whether such responses are influenced by systematic biases.

Replicating a Nielsen national survey, two experiments explore whether biases affect support for athletes' participation in the Black Lives Matter (BLM) movement. The study also examines partisan motivated reasoning as a factor driving sports fans' support for BLM.

While avid fans display stronger endorsement of BLM compared to causal/non-sports fans, evidence suggests that systematic biases distort these responses. When sport identity becomes salient, reported support for the BLM movement becomes inflated.

Researchers often employ self-report surveys to gauge audience perceptions of athlete activism or cause-related initiatives, particularly when assessing their impact. This study's findings indicate that this context is susceptible to SDB.

The study underscores the role of systematic biases in self-report surveys, particularly in socially desirable contexts. People tend to over-report “positive behavior,” leading survey participants to respond more favorably to questions that are socially desirable. Therefore, interpreting survey results with caution becomes essential when the research context is deemed socially (un)desirable. It is crucial for researchers to apply appropriate measures to identify and mitigate systematic response biases. The authors recommend that researchers adopt both procedural and statistical remedies to detect and reduce social desirability biases.

Large scale research infrastructures (LSRIs) are rising in the competitive and globalized research environment, since they offer to external researchers-users, inputs and services for cutting-edge, large scale researches. Such researches would not be possible with usual infrastructures and budgets of single universities and research institutions. However, despite the strategic relevance acknowledged to LSRI by the nascent literature and by national policymakers, there is a lack of understanding of configurations and key performances of a LSRI. This paper aims to bridge this gap by identifying key morphologies of LSRIs and analysing their performances.

The research is carried out adopting a mixed research methodology, merging a literature review with a survey conducted on a sample of 11 LSRIs; they provided the data set for the parametrization of a morphological matrix.

The research led to the identification of seven LSRIs morphologies, with different performance linked to their structure.

To the best of the authors’ knowledge, this paper originally proposes the data set needed to develop a morphological analysis of LSRIs.

This introduction provides the methodological framework for the book, approaching the business of football through the lens of its most reliable consumers – the fanbase. Fan cultures necessarily inform the normative understanding of a football club, due to the popularly held belief that it is the fan’s – or some reified idea of the fan – that is the permanent feature of a football club and that provides its identity. Players and owners come and go, but the relationship between the club and the fan is, theoretically, never-ending. In truth, this is never a real fan who could exist, but a constructed image of the fan built out of other narratives and that, at some level, football fans associate themselves. This fan is no one in particular, but is drawn from a close reading of football culture and identifying the directives of the traditional fan. Utilising a combination of critical theory and the existing literature on football club ownership, our goal is to reveal the distinction between how people talk about the social dimension of football clubs, and how they actually relate to their fans and the wider world in the era of late capitalism. A club is not simply the romanticised notions held by those within the games, but, as with all businesses, it is also the product of it conducts itself in a series of other networks of exchange. Often irreconcilable with the aforementioned romantic notions, these networks often get hidden by the prevailing discourse.

Demonstrate proof-of-concept for conducting NFL Draft trades on a blockchain network using smart contracts.

Using Ethereum smart contracts, the authors model several types of draft trades between teams. An example scenario is used to demonstrate contract interaction and draft results.

The authors show the feasibility of conducting draft-day trades using smart contracts. The entire negotiation process, including side deals, can be conducted digitally.

Further work is required to incorporate the full-scale depth required to integrate the draft trading process into a decentralized user platform and experience.

Cutting time for the trade negotiation process buys decision time for team decision-makers. Gains are also made with accuracy and cost.

Full-scale adoption may find resistance due to the level of fan involvement; the draft has evolved into an interactive experience for both fans and teams.

This research demonstrates the new application of smart contracts in the inter-section of sports management and blockchain technology.