Matching Items (17)
Description
The esports scene has been constantly evolving ever since its inception in the early 1970s, growing from small arcade based tournaments to the multibillion dollar industry that can be observed today (Bountie Gaming, 2018). In fact, the term esports was not widely used until the early 2000s, decades after the first gaming tournaments had taken place. Decades prior, the earliest large-scale gaming tournament was hosted by Atari in 1980 for the game Space Invaders . While still primitive by today’s standards, games such as Space Invaders inspired fierce competition and effectively laid the foundation for what would grow into the booming industry that we see today (Edwards, 2013).
ContributorsCollins, Neil Andrew (Author) / Mendez, Jose (Thesis director) / Foster, William (Thesis director) / Pierce, John (Committee member) / Department of Economics (Contributor) / WPC Graduate Programs (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
Regenerative medicine is a relatively new area of interest among researchers and physicians alike and has truly come to light within the last twenty years. Its purpose is to “regenerate” cells in our body to return tissue and organs systems to their normal functions by utilizing innate cell mechanisms. Uses have ranged from growing completely new body tissue in labs, to promoting the repair of damaged neurons. More recently, the use of regenerative medicine techniques such as stem cell and platelet rich plasma therapy has seen significant growth throughout high level and professional sports. Beginning in the early 2000s, treatments quickly gained popularity as professional athletes began using them as an alternative to surgery, but this came before any concrete scientific support. This thesis paper will analyze the current statistical data supporting the use of platelet rich plasma and stem cell therapy and associated regulations to describe the connection between regenerative medicine and sports.
ContributorsFritzke, Jack Teodor (Author) / Washo-Krupps, Delon (Thesis director) / Foster, William (Committee member) / Levinson, Simin (Committee member) / School of Life Sciences (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
This project was organized to analyze a multitude of data in order to determine the economic impact of a professional sports team starting in a particular location, or “market”. The thesis group (“group”) collected historical data on professional sports teams from 1975 to present, state economic data as applicable, and data indicating sports fan preferences and behavior. This data was collected, cleaned, and analyzed in order to understand trends and impacts of sports teams in local economies. The group looked at a number of statistical factors including team performance, championships, state GDP and employment, and digital trends regarding the sports teams. Using economic models and statistics, the group was able to derive insights on the factors that cause sports teams to influence the economy they are located in. Additionally, the group analyzed reporting on teams in particular markets, as well as the financing surrounding stadiums to provide a diverse perspective on the topic. At a high level, starting a professional sports team in a new market does not have a significant impact on the economy: the data did not demonstrate statistical significance and qualitative analysis proved that the impact of a new team is negligible. The following serves as documentation and explanation of the group’s analysis on this topic.
ContributorsFriedman, Jared Davidson (Co-author) / Conner, Joshua (Co-author) / McClain, Jacob (Co-author) / Foster, William (Thesis director) / Lee, Christopher (Committee member) / Department of Information Systems (Contributor) / School of Accountancy (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
This paper proposes that voter decision making is determined by more than just the policy positions adopted by the candidates in the election as proposed by Antony Downs (1957). Using a vector valued voting model proposed by William Foster (2014), voter behavior can be described by a mathematical model. Voters assign scores to candidates based on both policy and non-policy considerations, then voters then decide which candidate they support based on which has a higher candidate score. The traditional assumption that most of the population will vote is replaced by a function describing the probability of voting based on candidate scores assigned by individual voters. If the voter's likelihood of voting is not certain, but rather modelled by a sigmoid curve, it has radical implications on party decisions and actions taken during an election cycle. The model also includes a significant interaction term between the candidate scores and the differential between the scores which enhances the Downsian model. The thesis is proposed in a similar manner to Downs' original presentation, including several allegorical and hypothetical examples of the model in action. The results of the model reveal that single issue voters can have a significant impact on election outcomes, and that the weight of non-policy considerations is high enough that political parties would spend large sums of money on campaigning. Future research will include creating an experiment to verify the interaction terms, as well as adjusting the model for individual costs so that more empirical analysis may be completed.
ContributorsCoulter, Jarod Maxwell (Author) / Foster, William (Thesis director) / Goegan, Brian (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Department of Economics (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
This paper analyzes responses to a survey using a modified fourfold pattern of preference to determine if implicit information, once made explicit, is practically significant in nudging irrational decision makers towards more rational decisions. Respondents chose between two scenarios and an option for indifference for each of the four questions from the fourfold pattern with expected value being implicit information. Then respondents were asked familiarity with expected value and given the same four questions again but with the expected value for each scenario then explicitly given. Respondents were asked to give feedback if their answers had changed and if the addition of the explicit information was the reason for that change. Results found the addition of the explicit information in the form of expected value to be practically significant with ~90% of respondents who changed their answers giving that for the reason. In the implicit section of the survey, three out of four of the questions had a response majority of lower expected value answers given compared to the alternative. In the explicit section of the survey, all four questions achieved a response majority of higher expected value answers given compared to the alternative. In moving from the implicit to the explicit section, for each question, the scenario with lower expected value experienced a decrease in percentage of responses, and the scenario with higher expected value and indifference between the scenarios both experienced an increase in percentage of responses.
ContributorsJohnson, Matthew (Author) / Goegan, Brian (Thesis director) / Foster, William (Committee member) / School of Sustainability (Contributor) / Economics Program in CLAS (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Individual’s outcomes are significantly affected by occupation share changes. This is supported by regression analysis of the Displace Workers Survey a supplement to the Current Population Survey – a nationally representative panel data set. Regression analysis is used to demonstrate that individuals in occupations that are increasing as a share of the total number of workers are better off across the gamut of outcomes than their counterparts in occupations that are decreasing as a share of the total number of workers. Workers in occupations with increasing shares are more likely to find jobs quickly, less likely to experience significant wage losses, less likely to change occupation, and less likely to go on to welfare.
ContributorsGaughan, Patrick Michael (Author) / Veramendi, Gregory (Thesis director) / Foster, William (Committee member) / Department of Finance (Contributor) / Department of Information Systems (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
DescriptionThe paper intends to look at the issues surrounding trauma center proliferation, cost, and the worries of cascading failure.
ContributorsOcal, Jon (Author) / Douglas, Kacey (Thesis director) / Foster, William (Committee member) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05