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- Creators: Department of Finance
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This paper attempts to introduce analytics and regression techniques into the National Hockey League. Hockey as a sport has been a slow adapter of analytics, and this can be attributed to poor data collection methods. Using data collected for hockeyreference.com, and R statistical software, the number of wins a team experiences will be predicted using Goals For and Goals Against statistics from 2005-2017. The model showed statistical significance and strong normality throughout the data. The number of wins each team was expected to experience in 2016-2017 was predicted using the model and then compared to the actual number of games each team won. To further analyze the validity of the model, the expected playoff outcome for 2016-2017 was compared to the observed playoff outcome. The discussion focused on team's that did not fit the model or traditional analytics and expected forecasts. The possible discrepancies were analyzed using the Las Vegas Golden Knights as a case study. Possible next steps for data analysis are presented and the role of future technology and innovation in hockey analytics is discussed and predicted.
ContributorsVermeer, Brandon Elliot (Author) / Goegan, Brian (Thesis director) / Eaton, John (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
With a recent boom in the popularity of Large Language Model (LLM) chatbots such as ChatGPT, the generative Artificial Intelligence (AI) landscape has seen a massive increase in market size. Along with this boom in generative AI, other sectors of AI have seen massive growth as well. One such area of interest is the Edge AI software market. Because this market is so new, there is an immense amount of room for growth and profit since most firms have yet to obtain a firm foothold in this space. Therefore, it makes sense that Intel is seeking to enter this market. With the successful release of OpenVINO, an open-source AI development and optimization program, and GETi, a program for the development and deployment of computer vision models, Intel is seeking to understand the market landscape, overall potential returns, and broad applications for contingency in various scenarios before making further investments into this market.
Through our in-depth analysis of the market, which examines current competitors, and includes top-down and bottom-up analyses, we were able to create a detailed picture of potential market states, their effects on our recommendation, and the initial outlay needed for Intel to actively pursue our recommendation. As for our final recommendation, we believe that Intel should continue to market OpenVINO to draw users into Intel’s hardware ecosystem, similar to what Apple did with the iPhone, which will allow Intel to obtain a greater market share and long-term user loyalty. Software-hardware synergies will continue to drive an increase in Intel’s overall profits. This secondary source of hardware sales will be insulated from the cyclical nature of the CPU market, allowing for less variability in revenues during market downturns. This decrease in the hardware sales cycle should lead to higher stock prices and increase stakeholder confidence. Successful implementation of these strategies boosts the success of future Intel product launches and stops any competitors from entering the market, solidifying Intel’s hold on its market share.
ContributorsMto, Penina Feza (Author) / Bombardieri, Tristan (Co-author) / Stearns, Dawson (Co-author) / Trufanov, Nicholas (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Mike (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor) / School of International Letters and Cultures (Contributor)
Created2024-05
Description
Magic has changed over the past several centuries in terms of how it shows up in people's lives and how it’s discussed: in the 21st-century modern-day, the term magic is used to describe illusions and unknown facts, whereas before magic was tied more into superstitions about higher beings and religion. Nevertheless, every culture has been influenced by magic. Even before travel and technology allowed information to be widespread, magic was a part of people’s lives, whether it be to protect a tribe on their hunt or a magician trying to earn a living. Even though secular magic is quite recent on the timeline of history, secular magic can still tap into the same feelings that non-secular magic has had on people. People try to understand what they can’t and deal with stressors in their lives in many ways, and magic in its various forms has provided this filler.
Throughout this paper, I’ll be discussing magic’s role as a bridge between cultures. I looked for various explanations of magic’s history and the impact it’s had on people throughout, to be able to compare by culture and over time, and how magic has served as cultural bridge, bringing people together, creating new conversations, and sparking similar emotions across all people such as awe and wonder.
ContributorsBregman, Maxwell (Author) / Ostling, Michael (Thesis director) / Edmonds, Larry (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor) / Department of Information Systems (Contributor)
Created2024-05
Description
This thesis explores how fundamental variables of business cycles influence commercial real estate cycles and investor behavior within them. Specifically, I address studies correlating key business cycle variables to commercial real estate cycles. Then, I address the Phoenix industrial real estate market and analyze whether or not the predicted or theorized consequences of the changes in the key business cycle variables impacted the Phoenix industrial real estate market. My findings on the topic provide valuable insight into the predictability of industrial real estate behavior throughout cycles, given the changes in fundamental economic variables of business cycles. Specifically, it demonstrates how the Phoenix industrial real estate market has historically behaved in correlation to business cycles and their variables. My findings also highlight the importance of observing the Phoenix market’s continued response to changes in the macro-economy.
ContributorsAronowitz, Ethan (Author) / Stapp, Mark (Thesis director) / Koblenz, Blair (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor)
Created2024-05
Description
The primary goal of our nonprofit organization, Plant-ED, is to deepen the average individual’s knowledge regarding sustainability and to inspire our users to engage in a community of like-minded individuals who share a passion for sustainability. To accomplish this vision, we have created a digital platform where users can easily find information on upcoming events, activities, and alternative products that truly embody a mindset of sustainability. Our team will be the main and constant source of content for our website, however our users are also able to interact with the website through blog posts and subscriptions. Additionally, our platform has a section dedicated to explaining the impact of recycling and shows the devastating effects if humans do not take accountability for their choices and develop more sustainable habits. The ultimate goal for our website is for it to be a place where we can promote our partners’ products which are either alternatives to unsustainable products or companies who donate some of their proceeds to help create a greener world. The profit from the commission we receive from our partners and subscription services will be reinvested into expanding our digital platform and partnerships.
ContributorsMahoney, Emma (Author) / Weiderhoft, Isabella (Co-author) / Meyers, Zoe (Co-author) / Smith, Connor (Co-author) / Byrne, Jared (Thesis director) / Balven, Rachel (Committee member) / Barrett, The Honors College (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Department of Finance (Contributor)
Created2024-05
Description
This world promises just one thing: continuous change. As humanity has moved through time much has changed in the worlds of science, mathematics, and physics. These shifts in humanity's comprehension often arrive unexpectedly, driven by education, innovation, and experimentation. Such transformative waves resemble a series of technology shocks that are known to cause significant disruptions within an industry and the economy broadly as firms permanently change the ways they produce and distribute goods and services in response to new technologies or information. The recent flurry of innovation and interest in Artificial Intelligence leads us to believe that many industries may be experiencing such a wave of change today. The healthcare industry currently employs the most workers of any other sector in the United States (outside of the government) and is made up of an unprecedented 77% of female workers making the outcomes of changes in its labor market demands particularly important. In this paper we discuss the current state of Artificial Intelligence adoption within the clinical side of healthcare, what sub sectors and occupations are most exposed, and to what extent the FDA approved AI-enabled clinical healthcare products replace or complement those tasks of existing occupations. We also interviewed a few healthcare professionals with different levels of seniority and exposure to AI-enabled products to develop a holistic understanding of current AI adoption, employee preparation, and potential labor market implications over the short and long term. We find that AI implementation within clinical healthcare settings is young in its life cycle yet fast growing. Current use cases are mostly in the earlier stages of the patient’s care journey assisting workers in various capacities in the processes of patient testing, diagnosis, care planning, and post-treatment monitoring. The tasks associated with patient interaction and care administration do not appear to be threatened by AI automation at this point in time. Additionally, approved Artificial Intelligence products for clinical use are disproportionately concentrated in the subsectors of radiology, neurology, and cardiology. Finally, our interviews revealed a concerning lack of consideration and preparation, among healthcare workers, for the potential automation of their fundamental tasks. Going forward, we believe it wise for healthcare workers to monitor the evolution of clinical AI use cases as well as the FDA approval of AI-enabled products and prepare for potential automation by continuing to learn new skills, take on additional responsibilities, and generally inject themselves into as many stages of the patient’s healthcare journey as possible to differentiate among other workers and avoid the coming wave of mass clinical automation.
ContributorsDolasinski, Nicholas (Author) / McElenney, Nicholas (Co-author) / Mehta, Ari (Thesis director) / Asheim, Brody (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor) / Department of Economics (Contributor)
Created2024-05
Description
This project examines entry-level processors Company X. Analyzing their current position and creating recommendations for their future positioning in regard to entry-level processors. Utilizing financial models, our group worked to determine the most effective way to optimize NPV and gross margin for this segment. With extensive step models and sensitivity analysis, we analyzed potential paths that Company X could take. Continuing to be mindful of the limitations that certain projected paths would entail. Through our analysis, we were able to form a comprehensive suggestion that had a positive 8-year NPV and improved gross margin percentage.
ContributorsHuseinovic, Ayla (Author) / Jones, Ciara (Co-author) / Mathias, Chase (Co-author) / Kuo, Ian (Co-author) / Simonson, Mark (Thesis director) / Hertz, Michael (Committee member) / Barrett, The Honors College (Contributor) / School of Accountancy (Contributor) / Department of Finance (Contributor) / Dean, W.P. Carey School of Business (Contributor)
Created2024-05
DescriptionWe are an online community and ghost kitchen that provides healthy late night options.
ContributorsChacon, Anthony (Author) / Castro, Garrett (Co-author) / Byrne, Jared (Thesis director) / Thomasson, Anna (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor)
Created2024-05
Description
The primary goal of our nonprofit organization, Plant-ED, is to deepen the average individual’s knowledge regarding sustainability and to inspire our users to engage in a community of like-minded individuals who share a passion for sustainability. To accomplish this vision, we have created a digital platform where users can easily find information on upcoming events, activities, and alternative products that truly embody a mindset of sustainability. Our team will be the main and constant source of content for our website, however our users are also able to interact with the website through blog posts and subscriptions. Additionally, our platform has a section dedicated to explaining the impact of recycling and shows the devastating effects if humans do not take accountability for their choices and develop more sustainable habits. The ultimate goal for our website is for it to be a place where we can promote our partners’ products which are either alternatives to unsustainable products or companies who donate some of their proceeds to help create a greener world. The profit from the commission we receive from our partners and subscription services will be reinvested into expanding our digital platform and partnerships.
ContributorsSmith, Connor (Author) / Mahoney, Emma (Co-author) / Weiderhoft, Isabella (Co-author) / Myers, Zoe (Co-author) / Byrne, Jared (Thesis director) / Balven, Rachel (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor) / Department of Finance (Contributor)
Created2024-05
Description
This thesis aims to understand the likelihood of meeting recently implemented federal adoption targets regarding the electrification of consumer automotive transportation in the United States (US) and the challenges that arise throughout this process. The research conducted attempts to provide a link between government, manufacturer and consumer perspectives into a cohesive argument as to why adoption targets will not be met in the US without extreme capital expenditure and reliance on non-American resources to reengineer the long standing automotive marketplace by target deadlines.
In order for the electrification of consumer transportation to become a reality, regardless of meeting federally mandated target deadlines; the federal government must invest trillions into subsidization programs for manufacturers and consumers to allow for higher priced electric vehicles (EV) to be accessible to its younger target demographic and reach a broader audience. There must also be investment into America’s power grid, charging and road infrastructure, along with solving issues related to general affordability. Manufacturers must be able to note substantial returns for the heightened cost of EV production in comparison to their gas powered counterparts, while consumers of this automotive subset must be able to purchase a vehicle with greater benefit than products currently available. Currently, the vision of EV adoption for the US market is not attainable by target deadlines without reduced government regulation and the introduction of Chinese products, who currently own the entirety of the supply chain for battery technology and are able to overcome the obstacles of EV adoption in its entirety.
ContributorsCvijanovich, Ryan (Author) / Simonson, Mark (Thesis director) / Mauer, Mark (Committee member) / Barrett, The Honors College (Contributor) / Department of Management and Entrepreneurship (Contributor) / Department of Finance (Contributor)
Created2024-05