Barrett

Barrett, The Honors College at Arizona State University proudly showcases the work of undergraduate honors students by sharing this collection exclusively with the ASU community.

Barrett accepts high performing, academically engaged undergraduate students and works with them in collaboration with all of the other academic units at Arizona State University. All Barrett students complete a thesis or creative project which is an opportunity to explore an intellectual interest and produce an original piece of scholarly research. The thesis or creative project is supervised and defended in front of a faculty committee. Students are able to engage with professors who are nationally recognized in their fields and committed to working with honors students. Completing a Barrett thesis or creative project is an opportunity for undergraduate honors students to contribute to the ASU academic community in a meaningful way.

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The Monetization of Autonomous Vehicle Data

Description
Autonomous vehicles (AV) are capable of producing massive amounts of real time and precise data. This data has the ability to present new business possibilities across a vast amount of markets. These possibilities range from simple applications to unprecedented use cases. With this in mind, the three main objectives we…

Autonomous vehicles (AV) are capable of producing massive amounts of real time and precise data. This data has the ability to present new business possibilities across a vast amount of markets. These possibilities range from simple applications to unprecedented use cases. With this in mind, the three main objectives we sought to accomplish in our thesis were to: Understand if there is monetization potential in autonomous vehicle data Create a financial model of what detailing the viability of AV data monetization Discover how a particular company (Company X) can take advantage of this opportunity, and outline how that company might access this autonomous vehicle data. First, in order to brainstorm how this data could be monetized, we generated potential use cases, defined probable customers of these use cases, and how the data could generate value to customers as a means to understand what the "price" of autonomous vehicle data might be. While we came up with an extensive list of potential data monetization use cases, we evaluated our list of use cases against six criteria to narrow our focus into the following five: Government, Insurance Companies, Mapping, Marketing purposes, and Freight. Based on our research, we decided to move forward with the insurance industry as a proof of concept for autonomous vehicle data monetization. Based on our modeling, we concluded there is a significant market for autonomous vehicle data monetization moving forward. Data accessibility is a key driver in how profitable a particular company and their competitors can be in this space. In order to effectively monetize this data, it would first be important to understand the method by which a company obtains access to the data in the first place. Ultimately, based on our analysis, Company X has positioned itself well to take advantage of the new trends in autonomous vehicle technology. With more strategic investments and innovation, Company X can be a key benefactor of this unprecedented space in the near future.
ContributorsShapiro, Brandon (Co-author) / Quintana, Alex (Co-author) / Sigrist, Austin (Co-author) / Clark, Rachael (Co-author) / Carlton, Corrine (Co-author) / Simonson, Mark (Thesis director) / Reber, Kevin (Committee member) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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Monetization of Autonomous Vehicle Data

Description
Autonomous vehicles (AV) are capable of producing massive amounts of real time and precise data. This data has the ability to present new business possibilities across a vast amount of markets. These possibilities range from simple applications to unprecedented use cases. With this in mind, the three main objectives we…

Autonomous vehicles (AV) are capable of producing massive amounts of real time and precise data. This data has the ability to present new business possibilities across a vast amount of markets. These possibilities range from simple applications to unprecedented use cases. With this in mind, the three main objectives we sought to accomplish in our thesis were to: 1. Understand if there is monetization potential in autonomous vehicle data 2. Create a financial model of what detailing the viability of AV data monetization 3. Discover how a particular company (Company X) can take advantage of this opportunity, and outline how that company might access this autonomous vehicle data.
ContributorsCarlton, Corrine (Co-author) / Clark, Rachael (Co-author) / Quintana, Alex (Co-author) / Shapiro, Brandon (Co-author) / Sigrist, Austin (Co-author) / Simonson, Mark (Thesis director) / Reber, Kevin (Committee member) / School of Accountancy (Contributor) / Department of Finance (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05

The Influence of a Company’s Supply Chain Towards its Stock Volatility

Description

The Supply Chain of a company is the most critical component of a business as it directly impacts a company’s ability to deliver products/services to customers is a timely, cost effective method. With this amount of importance, a resilient supply chain is pivotal for positive future earnings in each successive…

The Supply Chain of a company is the most critical component of a business as it directly impacts a company’s ability to deliver products/services to customers is a timely, cost effective method. With this amount of importance, a resilient supply chain is pivotal for positive future earnings in each successive quarter. Two pivotal metrics to gauge a Supply Chain include Production Delays and Excess Inventory. Through in-depth analysis, it was found that these metrics had caused abnormal amounts of price volatility with a stock’s performance. Understanding these metrics, the impact and lesson that COVID had taught, and analyzing earnings transcripts of publicly traded company’s demonstrates the use of Supply Chain health in comparison to company performance. This thesis aims to examine how a company's supply chain affects its performance, by analyzing different metrics and disruptions that have caused significant volatility in the stock market. The objective is to help investors maximize their profitability or reduce their risk by identifying the key factors that impact a company's supply chain.
ContributorsNatarajan, Tharun (Author) / Printezis, Antonios (Thesis director) / Licon, Lawrence (Committee member) / Barrett, The Honors College (Contributor) / Department of Supply Chain Management (Contributor) / Department of Finance (Contributor)
Created2023-05
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Analysis of Early Stage SBICs and Reasons for Program Ending

Description

This paper examines the the Small Business Investment Company ("SBIC") program and the Early Stage SBIC program specifically. Fund economics were analyzed and compared to structural details of the program to determine the major factors in the ending of the Early Stage program.

ContributorsDelashmutt, Kyle (Author) / Simonson, Mark (Thesis director) / Licon, Lawrence (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor) / Department of Information Systems (Contributor) / School of Accountancy (Contributor)
Created2021-12