Sports Management Commons^™

Product Elimination Decision And Its Impact On Consumers: The Special Case Of A Local Speedway, Mark Mitchell, Jacob Voegel, Michael Smith

Atlantic Marketing Journal

After 60+ years of operation, Myrtle Beach Speedway was closed and the property sold. The new owners will redevelop the property for commercial and residential purposes. Businesses routinely eliminate products for a variety of reasons, including under-performance and/or a desire to redeploy those resources elsewhere. What is often overlooked is the impact on consumers. In addition to reducing fan access to racing, a closed race track removes a racing opportunity for aspiring race car drivers and crew members. It can also mean shuttering tracks that once had historical significance. The history of raceway closures in the Myrtle Beach, SC area …

Beyond The Game: Gamification, Sports Betting, And Fantasy Sports In Modern Sports, Kyler A. Ripley

Soaring: A Journal of Undergraduate Research

The gamification of fantasy sports and sports betting is real in our society today and has become incredibly useful, but policymakers need to create laws to protect consumers.

A New Industry For Student- Athletes: An Analysis Of Nil Implications On Well-Being And Team Dynamics, Jamison W. White

Honors Theses and Capstones

As of June 2021, college athletes are allowed to benefit from selling their name, image, and likeness (NIL) by engaging in contracts with sponsors and businesses. Even though this law was passed to allow athletes to earn a fair pay for their hard work though utilizing their popularity and engaging with fans, its potential effect on athletes remains uncertain. This research examines the effects of NIL agreements on student-athletes’ well-being and team perceptions. More specifically, does the adoption of NIL place additional stress on student- athletes or disrupt their team dynamics? If so, what support can be granted to allow …

Muslim Collegiate Student-Athletes' Experience With Fasting During Ramadan While Participating In Sport, Mishaal Amjad, Julie M. Cavallario, Nicolette A. Harris, Cailee E. Welch Bacon

Rehabilitation Sciences Faculty Publications

Context: As colleges and universities continue to focus on creating diverse, equitable, and inclusive environments, it is important to gain more knowledge on the experiences that Muslim student-athletes have while fasting during the month of Ramadan. While previous researchers have investigated the physical effects of fasting on the body, little is known about the challenges or support Muslim student athletes experience while fasting and participating in sport during Ramadan.

Objective: To explore the experiences of Muslim collegiate student-athletes regarding fasting during Ramadan while participating in sports.

Design: Consensual qualitative research.

Setting: Individual video interviews.

Participants: 12 Muslim collegiate student-athletes (4 …

The Impact Of International Baseball Players On Mlb Organizations: An Analysis Of Performance, Attendance, Revenue, And Valuation, 2012-2022, Aidan Booth

CMC Senior Theses

This thesis investigates the impact of international baseball players on MLB organizations. The paper uses the Sean Lahman Database focusing on team-wide statistics including performance metrics, winning percentage, and attendance. Using the Ordinary Least Squares (OLS) Regression model, the paper examines the effect of share of foreign-born players on team success, attendance, revenue, and valuation. The dataset controls for a number of variables throughout these regressions including payroll, population, stadium capacity, number of all stars on each team, and the number of competing professional sports teams in the metropolitan area in order to isolate the effect of foreign-born players on …

Optimizing Sports Outcome Prediction Through Feature Engineering And Machine Learning, Vitor S. Freitas

Graduate Theses/Dissertations

The challenge of predicting the outcome of a team game lies in the high complexity and dynamics of the sports data. This thesis focuses on the aspect of using feature engineering and the genetic algorithm to predict the winner and the score of various sports events. Generally, it deals with how machine learning algorithms are combined with state-of-the-art feature engineering techniques in sports datasets derived from various sports disciplines. In this thesis, five different machine learning models have been applied, classification and regression trees (CART), random forest (RF), stochastic gradient boosting (SGB), eXtreme gradient boosting (XGBoost), and extreme learning machine …

Objective.Gg: Uniting Scholastic Esports, Martin D. Beirne Iv

Honors Program Theses and Research Projects

Objective.gg is a startup online recruitment platform within the scholastic esports scene that seeks to unite esports prospects with collegiate esports programs in an effective manner. Currently, there is a large divide that high school and transfer esports prospects must navigate through, and it is Objective.GG’s mission to build a bridge over that gap. Objective.gg seeks to accomplish its mission by operating an online platform that allows prospects and collegiate coaches to create their own profiles and connect with one another, building a community around the platform in the process. This platform will be accessible to both prospects and coaches …