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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.

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.

In competitive environments, explicitly seeking institutional changes to adopt a new technology, rather than exploiting current resources, can harm more than help organizations’ efforts to achieve their performance goals. However, institutionally embedded organizations often respond to the introduction of industry disruptive technology in counterproductive ways. This paper aims to study the paradox of embedded agency in competitive environments and explore the diffusion of new occupations associated with data analytics.

This study uses the context of the Major League Baseball where the digital platform, PITCHf/x, implemented during 2006 and 2007 seasons facilitated the professional baseball clubs to create occupations for data analytics.

This study found that long-term low performance of organizations resulted in creating occupations for a new technology and deploying professionals to them and the public media’s negative tenor mediated the relationship between the signal of institutional inefficiency and such a boundary work in a competitive environment.

This research enriches our understanding of the early disperse of a new occupation in the times of the emergence of digital platform by exploring the temporal attributes of organizational performance and the role of public media as the antecedents to embedded agency.

The authors integrate the established literature on corporate entrepreneurship with the expanding inquiry into sport entrepreneurship by examining professional teams and leagues across North America. By situating the discussion in the context of organizational theory on competition, the authors argue for how teams (contestants) and leagues (organizers) uniquely apply the different forms of corporate entrepreneurship, providing contemporary examples of each. Additionally, the authors identify notable challenges of entrepreneurship within a sport context, emphasizing components that allowed organizations to overcome these concerns. By shining a light on the occurrences and challenges of corporate entrepreneurship within the sport industry, the authors hope to continue the push for greater interest in and examination of sport-related innovation and entrepreneurship.

This work researches and shares numerous examples across the North American sport landscape to illustrate corporate innovation and venturing by sport entities.

This research identifies innovation, sourced from different competitive actors, involving new products, new services, new processes and new administrative structures and approaches, and even includes the development of new businesses.

In looking at the entrepreneurial efforts of established sport teams and leagues, the authors highlight the impressive efforts of these entities to innovate, grow and evolve their products, service offerings and markets despite unique industrial constraints.

This chapter examines the shifting significance of data ownership and athlete rights as they pertain to the growth and expansion of the global sports gambling industry. It provides a nuanced overview of the ‘datafication’ of society, tracing how the omnipresent embrace of digital technologies has expediated new forms of organisational, political and corporate surveillance from which concerns over privacy, rights to ownership and the misuse of personal data arise. The chapter moves on to discuss how the extraction and trade of data has revolutionised how elite sport is performed, manufactured, broadcast and consumed, shedding critical light on the role of the gambling industry in the exchange of human data as a market commodity. These insights inform a series of socio-legal and ethical questions about the relationships between athlete data and the sports gambling industry for the purpose of signposting emerging issues and opportunities for critical sociological research and intervention.

This study explores the value of sports films for engaging youth in issues related to patriotism, justice, equity and liberty. The authors analyze how two sports films, 42 and Battle of the Sexes, have pedagogical potential and value in secondary social studies methods classes, as well as what criteria educators might use when selecting films (and television series) for classroom use.

Using content analysis, the authors respond to the following questions: (1) What critical themes related to civic education surface in the sports films 42 and Battle of the Sexes? and (2) What framework might guide the use of selecting sports films and sports film clips for educators' civic educational use?

Five themes surfaced in the films 42 and Battle of the Sexes: economics as a force for social change; racism and anti-Blackness, athletes as more than athletes, resisting oppression, and sexism and homophobia. Instruction related to these themes has the potential to engage students in critical, awareness-based approaches to civic education.

Sports films show promise for engaging youth due to their interests in the medium of film and in sports, both as participants and spectators. Across the world, athletes face questions and issues related to patriotism, justice, equity and liberty on courts, fields, tracks and rinks, These questions and issues are deeply embedded in civic education. This study is among the first of its kind to explore the pedagogical potential of sports films.

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.

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.

Using the lens of upper echelons theory, this study examines the degree to which National Collegiate Athletic Association athletic department performance outcomes are associated with the personal characteristics and experiences of the athletic director leading the organization.

The authors match organizational performance data with athletic director and institutional characteristics to form a robust data set spanning 16 years from the 2003–04 to 2018–19 seasons. The sample contains 811 observations representing 136 unique athletic directors. Fixed effects panel regressions are used to analyze organizational performance and quantile regression is used to analyze organizational revenues.

The authors fail to uncover statistically significant evidence that athletic director personal characteristics, functional experience and technical experience are associated with organizational performance. Rather, the empirical modeling indicates organizational performance is primarily driven by differentiation in the ability to acquire human capital (i.e. playing talent). The results also indicate that on average, women are more likely to lead lower revenue organizations, however, prior industry-specific technical experience offsets this relationship.

In opposition to upper echelons research in numerous settings, the modeling indicates the personal characteristics and experiences of the organization's lead executive are not an economically relevant determinant of organizational performance. This may indicate college athletics is a boundary condition in the applicability of upper echelons theory.