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- Creators: Department of Marketing
Description
We were driven by the question: what is happening to the popularity of Major League Baseball? In order to answer this question we compared the league structure of Major League Baseball with that of the National Football League. We were able to speak with five former or current members of the respective leagues in order to gain some insight into how the two leagues operate. The main focus of our research was around the payroll structures of the two leagues as well as their revenue sharing policies. In the end, we discovered that Major League Baseball is becoming highly regionalized. The sport is still growing in popularity in terms of revenue and fan involvement, but it is becoming less popular on a national stage. The league is benefitting greatly from factors like the increasing importance of "TiVo proof programming" and a lack of competition. Each league is very different in its own right. While the NFL promotes a perception of competitive balance, Major League Baseball can be plagued by the negative perception it creates surrounding some of its smaller market teams.
ContributorsHeath, Cameron (Co-author) / Linamen, John (Co-author) / Eaton, John (Thesis director) / Mokwa, Michael (Committee member) / Barrett, The Honors College (Contributor) / WPC Graduate Programs (Contributor) / Department of Marketing (Contributor) / Department of Finance (Contributor) / Department of Information Systems (Contributor) / School of Accountancy (Contributor)
Created2015-05
Description
The theory of frames for Hilbert spaces has become foundational in the study of wavelet analysis and has far-reaching applications in signal and image-processing. Originally, frames were first introduced in the early 1950's within the context of nonharmonic Fourier analysis by Duffin and Schaeffer. It was then in 2000, when M. Frank and D. R. Larson extended the concept of frames to the setting of Hilbert C*-modules, it was in that same paper where they asked for which C*-algebras does every Hilbert C*-module admit a frame. Since then there have been a few direct answers to this question, one being that every Hilbert A-module over a C*-algebra, A, that has faithful representation into the C*-algebra of compact operators admits a frame. Another direct answer by Hanfeng Li given in 2010, is that any C*-algebra, A, such that every Hilbert C*-module admits a frame is necessarily finite dimensional. In this thesis we give an overview of the general theory of frames for Hilbert C*-modules and results answering the frame admittance property. We begin by giving an overview of the existing classical theory of frames in Hilbert spaces as well as some of the preliminary theory of Hilbert C*-modules such as Morita equivalence and certain tensor product constructions of C*-algebras. We then show how some results of frames can be extended to the case of standard frames in countably generated Hilbert C*-modules over unital C*-algebras, namely the frame decomposition property and existence of the frame transform operator. We conclude by going through some proofs/constructions that answer the question of frame admittance for certain Hilbert C*-modules.
ContributorsJaime, Arturo (Author) / Kaliszewski, Steven (Thesis director) / Spielberg, Jack (Committee member) / Aguilar, Konrad (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
This project is a business analysis of Corner Archery, a Glendale, AZ Archery shop. It addresses the various roles of the different employee positions within the company with a focus on the owner's responsibilities in particular. It also analyzes the business from an operations and revenue driver standpoint, making proposals to improve each of these areas.
ContributorsBecwar, Alea Louise (Author) / Peck, Sidnee (Thesis director) / LePine, Marcie (Committee member) / Ostrom, Lonnie (Committee member) / Barrett, The Honors College (Contributor) / Department of Management (Contributor) / Department of Marketing (Contributor)
Created2013-12
Description
Beginning with the publication of Moneyball by Michael Lewis in 2003, the use of sabermetrics \u2014 the application of statistical analysis to baseball records - has exploded in major league front offices. Executives Billy Beane, Paul DePoedesta, and Theo Epstein are notable figures that have been successful in incorporating sabermetrics to their team's philosophy, resulting in playoff appearances and championship success. The competitive market of baseball, once dominated by the collusion of owners, now promotes innovative thought to analytically develop competitive advantages. The tiered economic payrolls of Major League Baseball (MLB) has created an environment in which large-market teams are capable of "buying" championships through the acquisition of the best available talent in free agency, and small-market teams are pushed to "build" championships through the drafting and systematic farming of high-school and college level players. The use of sabermetrics promotes both models of success \u2014 buying and building \u2014 by unbiasedly determining a player's productivity. The objective of this paper is to develop a regression-based predictive model that can be used by Majors League Baseball teams to forecast the MLB career average offensive performance of college baseball players from specific conferences. The development of this model required multiple tasks: I. Data was obtained from The Baseball Cube, a baseball records database providing both College and MLB data. II. Modifications to the data were applied to adjust for year-to-year formatting, a missing variable for seasons played, the presence of missing values, and to correct league identifiers. III. Evaluation of multiple offensive productivity models capable of handling the obtained dataset and regression forecasting technique. IV. SAS software was used to create the regression models and analyze the residuals for any irregularities or normality violations. The results of this paper find that there is a relationship between Division 1 collegiate baseball conferences and average career offensive productivity in Major Leagues Baseball, with the SEC having the most accurate reflection of performance.
ContributorsBadger, Mathew Bernard (Author) / Goegan, Brian (Thesis director) / Eaton, John (Committee member) / Department of Economics (Contributor) / Department of Marketing (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Customer lifetime value has been a popular topic within the marketing field with which many researchers and marketing managers have been dwelling. The topic plays an important role in customer segmentation and has been studied and applied in a variety of business areas. The main objective of customer lifetime value and customer segmentation is to classify the importance level of each client to a company and compare it to other clients. Questions, such as which marketing strategies should be implemented for which customers and how much should be invested in a certain group of customers can all be answered by customer lifetime value and customer segmentation. However, the related literature is missing comparative research on assessing the amount of time from the initial point of acquisition that a client needs to be with the company in order to accurately predict its customer segment. This paper intends to provide a clarification to the problem. Purpose: Analyze customer profitability with clustering analysis and identify how many years does a customer need to be with a company to accurately predict its customer segment. By determining this number, managers can understand their clients better and establish which clients will most likely yield a greater profit at an early stage of the relationship. Methodology: Using data mining to clean and prepare our financial services dataset, we selected young clients who were less than ten years old. Linear regression and K-means clustering analyses then returned five clusters of clients. Next, we predicted the accuracy levels of customers with two to seven data points against the "correct" segment. Lastly, we validated our overall prediction accuracy levels using the chance probability and the desired classification accuracy, calculated from a discriminant analysis. Findings: We found that using five data points or more to cluster returned percentage accuracies greater than the desired classification accuracy. However, this desired classification accuracy and the percentage accuracies were fairly low and not sufficient to use as a base for business decisions and other managerial purposes.
ContributorsOng, Kaitlyn (Co-author) / Tsen, Canh (Co-author) / Hollmann, Thomas (Thesis director) / Han, Sang Pil (Committee member) / Department of Information Systems (Contributor) / Department of Marketing (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
With 2016 marking the 100th Anniversary of the National Park Service (NPS), important discussions regarding the future of America's beloved parks and respective government funding must take place. Imagine all the money, including tax revenue, flowing through America's national parks system, and where is that money destined for in the future? National park funding will factor greatly into determining the future of America's NPS and individual parks. Therefore, it is imperative to investigate where and how government funding, for the present and future, is distributed throughout the parks protected under the NPS. Through personal experiences as a child, national parks consistently provide a unique exposure to and an education of the natural world, which are rare finds when growing up in suburban or metropolitan regions. Narrowing down, this analysis will focus on government disbursements to Yellowstone National Park (Yellowstone) and Isle Royale National Park (Isle Royale) with specifics on two budgeted projects crucial to park survival. Yellowstone and Isle Royale each request funding for a project crucial to the park's ecosystem and a project intended to improve guest services for visitors. Closing comments will provide recommendations for Yellowstone, Isle Royale and the NPS, including effects of President Trump's 2018 Government Proposed Budget, in an attempt to offer forward thinking about national parks. The projects and respective funding as detailed in this analysis have a forward-thinking focus as other projects included in the NPS requested funding budgets consider as well. Current actions and efforts are crucial to the long-term life and of this country's national parks for future generations to come.
ContributorsHager, Madeline (Author) / Samuelson, Melissa (Thesis director) / Kenchington, David (Committee member) / Department of Marketing (Contributor) / School of Accountancy (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12