Barrett, The Honors College Thesis/Creative Project Collection
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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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 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
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 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
Description
Over 50% of the US population has listened to a podcast as of 2019. That is over 144 million people in the US alone that can potentially generate revenue for a podcast host. In 2017, podcast advertising secured revenues of $314 million. It is expected to grow to $659 million by 2020 (Goldberg). There is a growing market of active podcast listeners for advertisers to tap into. There is so much potential in podcasting that Spotify has recently decided that they are willing to spend $400-500 million on this category alone in 2019. In that large figure they have acquired “Gimlet”, a podcasting company, for 230 million and “Anchor”, a creation/distribution platform (Heater).
These massive amounts of investment in podcasting is assuring for the podcast industry that began as recently as the early 2000’s. There is money to be made for the content creators of podcasts as well. This paper focuses on how podcast hosts can generate the most amount of money. The two forms of producing income is by paid advertisements or donations/crowdfunding. I conducted an experiment using my own podcast to test whether paid advertisements or donations were more effective at making money. My hypothesis for this experiment is if I offer a free podcast for the public to listen to and ask for donations then I think less than 10% of listeners will donate. I believe that paid advertisements will generate more revenue than donations because I believe podcast listeners are not generous enough to donate. My research on how to make the most money podcasting is illustrated in the following pages.
These massive amounts of investment in podcasting is assuring for the podcast industry that began as recently as the early 2000’s. There is money to be made for the content creators of podcasts as well. This paper focuses on how podcast hosts can generate the most amount of money. The two forms of producing income is by paid advertisements or donations/crowdfunding. I conducted an experiment using my own podcast to test whether paid advertisements or donations were more effective at making money. My hypothesis for this experiment is if I offer a free podcast for the public to listen to and ask for donations then I think less than 10% of listeners will donate. I believe that paid advertisements will generate more revenue than donations because I believe podcast listeners are not generous enough to donate. My research on how to make the most money podcasting is illustrated in the following pages.
ContributorsMaldonado, Marcus (Author) / Radway, Debra (Thesis director) / Bonfigilo, Thomas (Committee member) / Department of Finance (Contributor, Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05