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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A Fortune 100 Technology Company Collaborative Thesis: Third-Party Services \u2014 Optimizing Headcount

Description
The object of the present study is to examine methods in which the company can optimize their costs on third-party suppliers whom oversee other third-party trade labor. The third parties in scope of this study are suspected to overstaff their workforce, thus overcharging the company. We will introduce a complex…

The object of the present study is to examine methods in which the company can optimize their costs on third-party suppliers whom oversee other third-party trade labor. The third parties in scope of this study are suspected to overstaff their workforce, thus overcharging the company. We will introduce a complex spreadsheet model that will propose a proper project staffing level based on key qualitative variables and statistics. Using the model outputs, the Thesis team proposes a headcount solution for the company and problem areas to focus on, going forward. All sources of information come from company proprietary and confidential documents.
ContributorsLoo, Andrew (Co-author) / Brennan, Michael (Co-author) / Sheiner, Alexander (Co-author) / Hertzel, Michael (Thesis director) / Simonson, Mark (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor) / Department of Finance (Contributor) / Department of Supply Chain Management (Contributor) / WPC Graduate Programs (Contributor) / School of Accountancy (Contributor)
Created2014-05
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Metrology Capital Equipment Extended Warranty Valuation Model

Description
Semiconductor Manufacturer (Semi) wants to improve the valuation of the extended warranties they purchase for their metrology tools and determine whether or not extended warranties are worth the financial investment. Historically, suppliers have commonly overvalued warranties. For example, there is a 50%-60% profit margin on warranties in the consumer electronics…

Semiconductor Manufacturer (Semi) wants to improve the valuation of the extended warranties they purchase for their metrology tools and determine whether or not extended warranties are worth the financial investment. Historically, suppliers have commonly overvalued warranties. For example, there is a 50%-60% profit margin on warranties in the consumer electronics industry. The costs incurred from purchasing extended warranties contribute to millions of dollars each year in tool ownership for Semi. By creating an extended warranty valuation model, our goal is to reduce the total cost of metrology tool ownership. A different perspective on the valuation of extended warranties will lead to an increased bottom line for Semi. Our valuation model will assist in determining warranty purchase pricing and appropriate service levels of maintenance personnel associated with the extended warranties. The model's objective is to compare the statistical expected total cost of buying tool parts on an "as needed" basis with the quoted price of an extended warranty. It will assess the strict financial value of either buying or not buying the extended warranty. Using actual tool part consumption data, the model can quickly evaluate the value of a supplier's warranty offer. In addition, the results from the model can be used as a negotiation tool with the suppliers. However the model will have its limitations. For example, the model will not be able to evaluate whether a metrology supplier relies on extended warranty revenues to fund research and development or whether a supplier has the financial health to remain in business with the loss of extended warranty related revenues. A shift in extended warranty purchasing by Semi could have a profound impact on the number of competitive suppliers in the future, and Semi's managers should take this into account when altering their extended warranty purchasing strategy. Our model can be utilized for three different functions: negotiating with suppliers, simplifying the decision to buy or not buy an extended warranty and influencing managers' purchasing strategies. Changing the service level costs of labor can impact Semi's decision to buy or not the extended warranty due to its effect on the probability of the warranty being a good or bad deal. In addition, the model output can significantly influence a manager's purchasing strategy within the organization by breaking down the cost savings associated with the metrology tools' part failures. In order to improve the accuracy and effectiveness of the financial model, we recommend that Semi collect and assemble the model input data in a different manner. Although it is possible Semi does collect more detailed data, the input data we received needed to be more comprehensive; it should include a list of tool parts with their respective failure dates, along with which supplier is responsible for which tool. Furthermore, Semi should develop a supplier scorecard to account for financial health, which can be factored into the model. This will result in a more precise evaluation on whether or not an extended warranty is worth the financial investment.
ContributorsGordon, Audrey Elizabeth (Co-author) / Barkley, Erin (Co-author) / Brady, Max Jordan (Co-author) / Lin, Jessica (Co-author) / Shieffield, Ethan (Co-author) / Hertzel, Michael (Thesis director) / Simonson, Mark (Committee member) / Schembri, Christopher (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor) / Department of Marketing (Contributor)
Created2013-05
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The Valuation Effects of a Drug Recall

Description
The pharmaceutical industry is heavily regulated. This regulation results in a high number of recalls in this industry compared to other industries. The pharmaceutical industry is subject to high regulation because of the harmful effects pharmaceuticals can have on consumers. In this paper I examine the valuation effects that a…

The pharmaceutical industry is heavily regulated. This regulation results in a high number of recalls in this industry compared to other industries. The pharmaceutical industry is subject to high regulation because of the harmful effects pharmaceuticals can have on consumers. In this paper I examine the valuation effects that a drug recall has on both the recalling firm and the recalling firm's rivals. I perform an event study analysis on the data. I show that there exists a statistically significant negative effect for a drug recall on the recalling firm's market value immediately surrounding the announcement. Additionally, there is a statistically significant positive effect for a drug recall on the recalling firm's rivals after the announcement.
ContributorsPaulos, Erica Marie (Author) / Hertzel, Michael (Thesis director) / Smith, Geoffrey (Committee member) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2015-12

Stock Price Performance in the Covid-19 Era: A Five-Phase Analysis

Description

The Covid-19 pandemic has made a significant impact on both the stock market and the<br/>global economy. The resulting volatility in stock prices has provided an opportunity to examine<br/>the Efficient Market Hypothesis. This study aims to gain insights into the efficiency of markets<br/>based on stock price performance in the Covid era.…

The Covid-19 pandemic has made a significant impact on both the stock market and the<br/>global economy. The resulting volatility in stock prices has provided an opportunity to examine<br/>the Efficient Market Hypothesis. This study aims to gain insights into the efficiency of markets<br/>based on stock price performance in the Covid era. Specifically, it investigates the market’s<br/>ability to anticipate significant events during the Covid-19 timeline beginning November 1, 2019<br/><br/>and ending March 31, 2021. To examine the efficiency of markets, our team created a Stay-at-<br/>Home Portfolio, experiencing economic tailwinds from the Covid lockdowns, and a Pandemic<br/><br/>Loser Portfolio, experiencing economic headwinds from the Covid lockdowns. Cumulative<br/>returns of each portfolio are benchmarked to the cumulative returns of the S&P 500. The results<br/>showed that the Efficient Market Hypothesis is likely to be valid, although a definitive<br/>conclusion cannot be made based on the scope of the analysis. There are recommendations for<br/>further research surrounding key events that may be able to draw a more direct conclusion.
ContributorsBrock, Matt Ian (Co-author) / Beneduce, Trevor (Co-author) / Craig, Nicko (Co-author) / Hertzel, Michael (Thesis director) / Mindlin, Jeff (Committee member) / Department of Finance (Contributor) / Economics Program in CLAS (Contributor) / WPC Graduate Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05