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- All Subjects: Baseball
- Creators: Department of Marketing
- Creators: Industrial, Systems
Description
Social media is used by people every day to discuss the nuances of their lives. Major League Baseball (MLB) is a popular sport in the United States, and as such has generated a great deal of activity on Twitter. As fantasy baseball continues to grow in popularity, so does the research into better algorithms for picking players. Most of the research done in this area focuses on improving the prediction of a player's individual performance. However, the crowd-sourcing power afforded by social media may enable more informed predictions about players' performances. Players are chosen by popularity and personal preferences by most amateur gamblers. While some of these trends (particularly the long-term ones) are captured by ranking systems, this research was focused on predicting the daily spikes in popularity (and therefore price or draft order) by comparing the number of mentions that the player received on Twitter compared to their previous mentions. In doing so, it was demonstrated that improved fantasy baseball predictions can be made through leveraging social media data.
ContributorsRuskin, Lewis John (Author) / Liu, Huan (Thesis director) / Montgomery, Douglas (Committee member) / Morstatter, Fred (Committee member) / Industrial, Systems (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
The current Enterprise Requirements and Acquisition Model (ERAM), a discrete event simulation of the major tasks and decisions within the DoD acquisition system, identifies several what-if intervention strategies to improve program completion time. However, processes that contribute to the program acquisition completion time were not explicitly identified in the simulation study. This research seeks to determine the acquisition processes that contribute significantly to total simulated program time in the acquisition system for all programs reaching Milestone C. Specifically, this research examines the effect of increased scope management, technology maturity, and decreased variation and mean process times in post-Design Readiness Review contractor activities by performing additional simulation analyses. Potential policies are formulated from the results to further improve program acquisition completion time.
ContributorsWorger, Danielle Marie (Author) / Wu, Teresa (Thesis director) / Shunk, Dan (Committee member) / Wirthlin, J. Robert (Committee member) / Industrial, Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2013-05
Description
Entering into my final year of W. P. Carey, I decided I wanted my thesis to combine what I've learned over the course of my undergraduate Marketing degree with my passion for baseball. Furthermore, I wanted my thesis to contain both a research element and creative application. I felt the best way to achieve the integration of these goals was to research and then select an MLB team to relocate to a more attractive American market. After performing research to determine an ideal team and city for relocation, I created a comprehensive marketing strategy to best cater this team for its new market. The first half of my thesis focuses entirely on the research required to select an optimal team and attractive market for relocation. I begin my thesis by performing an external analysis of the current MLB landscape. To elaborate, I gathered W-L records and fan attendance records for all 30 MLB teams between 2000 and 2016. I also collected the most recent team revenues and valuations before putting all of this data in Excel to create visual graphs. Using this data, I determine a list of the top 4 most attractive teams for relocation based on consistently poor performance in the metrics I collected data on. After selecting the Tampa Bay Rays as the ideal team to relocate, I then dive deeper into the organization through an internal analysis. Then, I focus on performing an external analysis of the most attractive markets for relocation before ultimately selecting Charlotte, NC as the best city. My research ends with a comprehensive external analysis of the Charlotte, NC market to help in creating a brand that caters to the makeup and culture of the distinct city. My analysis of Charlotte focuses on the city's demographics, population growth, local economy, political environment and trends that could impact target market segments. After performing extensive research on identifying the best team and city for a relocation, I switch gears to developing a comprehensive marketing strategy to best help the team achieve success in its new market. This begins with creating a unifying segmentation, targeting, and positioning strategy to outline the direction the team will take. These strategies place tremendous emphasis on the need for the Charlotte team to create an "irresistible cultural experience" that expands the traditional MLB mold to attract young Millennial fans to games that normally wouldn't be interested in attending games. Next, I begin by developing key elements of the brand including the team name, logos, uniforms, sponsors, and stadium. With the stadium, I even go as far as determining an ideal location along with unique features, such as lawn seating and even local vendors that have appeared on Food Network to add to the cultural experience of the brand. Then, I focus on a unifying initial marketing campaign through TV/print ads, radio ads, social media, and public relations to help the team seamlessly transition into its new home. My thesis ends with recommendations for future steps to take to ensure the relocated organization achieves lasting success in its new city.
ContributorsSchwartz, Justin David (Author) / Eaton, John (Thesis director) / Mokwa, Michael (Committee member) / Department of Marketing (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
Over the past several decades, analytics have become more and more prevalent in the game of baseball. Statistics are used in nearly every facet of the game. Each team develops its own processes, hoping to gain a competitive advantage over the rest of the league. One area of the game that has struggled to produce definitive analytics is amateur scouting. This project seeks to resolve this problem through the creation of a new statistic, Valued Plate Appearance Index (VPI). The problem is identified through analysis that was performed to determine whether any correlation exists between performances at the country's top amateur baseball league, the Cape Cod League, and performances in Major League Baseball. After several stats were analyzed, almost no correlation was determined between the two. This essentially means that teams have no way to statistically analyze Cape Cod League performance and project future statistics. An inherent contextual error in these amateur statistics prevents them from correlating. The project seeks to close that contextual gap and create concrete, encompassing values to illustrate a player's offensive performance in the Cape League. To solve for this problem, data was collected from the 2017 CCBL season. In addition to VPI, Valued Plate Appearance Approach (VPA) and Valued Plate Appearance Result (VPR) were created to better depict a player's all-around performance in each plate appearance. VPA values the quality of a player's approach in each plate appearance. VPR values the quality of the contact result, excluding factors out of the hitter's control. This statistic isolates player performance as well as eliminates luck that cannot normally be taken into account. This paper results in the segmentation of players from the 2017 CCBL into four different groups, which project how they will perform as they transition into professional baseball. These groups and the creation of these statistics could be essential tools in the evaluation and projection of amateur players by Major League clubs for years to come.
ContributorsLothrop, Joseph Kent (Author) / Eaton, John (Thesis director) / McIntosh, Daniel (Committee member) / Department of Information Systems (Contributor) / Department of Marketing (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
Description
The widespread use of statistical analysis in sports-particularly Baseball- has made it increasingly necessary for small and mid-market teams to find ways to maintain their analytical advantages over large market clubs. In baseball, an opportunity for exists for teams with limited financial resources to sign players under team control to long-term contracts before other teams can bid for their services in free agency. If small and mid-market clubs can successfully identify talented players early, clubs can save money, achieve cost certainty and remain competitive for longer periods of time. These deals are also advantageous to players since they receive job security and greater financial dividends earlier in their career. The objective of this paper is to develop a regression-based predictive model that teams can use to forecast the performance of young baseball players with limited Major League experience. There were several tasks conducted to achieve this goal: (1) Data was obtained from Major League Baseball and Lahman's Baseball Database and sorted using Excel macros for easier analysis. (2) Players were separated into three positional groups depending on similar fielding requirements and offensive profiles: Group I was comprised of first and third basemen, Group II contains second basemen, shortstops, and center fielders and Group III contains left and right fielders. (3) Based on the context of baseball and the nature of offensive performance metrics, only players who achieve greater than 200 plate appearances within the first two years of their major league debut are included in this analysis. (4) The statistical software package JMP was used to create regression models of each group and analyze the residuals for any irregularities or normality violations. Once the models were developed, slight adjustments were made to improve the accuracy of the forecasts and identify opportunities for future work. It was discovered that Group I and Group III were the easiest player groupings to forecast while Group II required several attempts to improve the model.
ContributorsJack, Nathan Scott (Author) / Shunk, Dan (Thesis director) / Montgomery, Douglas (Committee member) / Borror, Connie (Committee member) / Industrial, Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2013-05
Description
In 2021-2022, MLB underwent a labor stoppage due to a failure between the league and union to sign a new collective bargaining agreement (CBA) for the 2022 season until mid-March of 2022. This failure led to a contentious debate between owners and players over economic, competitive balance, and gameplay issues. To evaluate how MLB has reached this point in labor relations and make predictions for the future, it is first important to look at the history of sports and collective bargaining and, more specifically, this history in baseball. Next, one should evaluate the history of the antitrust exemption and its impact on labor relations in MLB. It is then important to analyze the main tenets of the 2022 CBA and their implications. Following this historical and current analysis, one can make hypotheses about where baseball labor relations and antitrust laws are heading and what will be key issues to look toward in the future.
ContributorsVolkert, Michael (Author) / Eaton, John (Thesis director) / McIntosh, Daniel (Committee member) / Barrett, The Honors College (Contributor) / Department of Economics (Contributor) / Department of Marketing (Contributor) / Dean, W.P. Carey School of Business (Contributor)
Created2023-05
ContributorsVolkert, Michael (Author) / Eaton, John (Thesis director) / McIntosh, Daniel (Committee member) / Barrett, The Honors College (Contributor) / Department of Economics (Contributor) / Department of Marketing (Contributor) / Dean, W.P. Carey School of Business (Contributor)
Created2023-05
Description
In 2021-2022, MLB underwent a labor stoppage due to a failure between the league and union to sign a new collective bargaining agreement (CBA) for the 2022 season until mid-March of 2022. This failure led to a contentious debate between owners and players over economic, competitive balance, and gameplay issues. To evaluate how MLB has reached this point in labor relations and make predictions for the future, it is first important to look at the history of sports and collective bargaining and, more specifically, this history in baseball. Next, one should evaluate the history of the antitrust exemption and its impact on labor relations in MLB. It is then important to analyze the main tenets of the 2022 CBA and their implications. Following this historical and current analysis, one can make hypotheses about where baseball labor relations and antitrust laws are heading and what will be key issues to look toward in the future.
ContributorsVolkert, Michael (Author) / Eaton, John (Thesis director) / McIntosh, Daniel (Committee member) / Barrett, The Honors College (Contributor) / Department of Economics (Contributor) / Department of Marketing (Contributor) / Dean, W.P. Carey School of Business (Contributor)
Created2023-05
Description
The purpose of this thesis is to outline the importance of setting an inclusive organizational culture within a professional baseball franchise, with a network of teams ranging from Rookie Leagues to Major League Baseball. In addition, the purpose of this research is to assess the current state of culture throughout Major League Baseball organizations to determine the most appropriate approach to culture for an MLB franchise, showing evidence for culture as a competitive advantage. Through qualitative research through the form of interviews (n=8), former players at the MiLB and MLB levels (n=3), player development staff (n=3), and directors of international scouting (n=2) provided insight into professional baseball culture in the United States (U.S.), its successes, and its shortcomings.
ContributorsSher, Jake (Author) / McIntosh, Daniel (Thesis director) / Eaton, John (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor) / Department of Marketing (Contributor) / Dean, W.P. Carey School of Business (Contributor)
Created2023-05
Description
Baseball is dying. This thesis set out to determine the best ways to go about engaging baseball fans of all age groups, and more specifically younger fans in the age range of 18-22. Through the conducting of primary research, several takeaways came to light. Engaging younger fans needs to be a priority moving forward for Major League Baseball, otherwise the sport is going to keep dying.
ContributorsJoanes, Matthew (Author) / Eaton, John (Thesis director) / McIntosh, Daniel (Committee member) / Lee, Christopher (Committee member) / Barrett, The Honors College (Contributor) / Department of Marketing (Contributor)
Created2023-05