This collection includes both ASU Theses and Dissertations, submitted by graduate students, and the Barrett, Honors College theses submitted by undergraduate students. 

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This study was conducted to better understand the making and measuring of renewable energy goals by the federal government. Three different energy types are studied: wind, solar, and biofuel, for two different federal departments: the Department of Defense and the Department of Energy. A statistical analysis and a meta-analysis of

This study was conducted to better understand the making and measuring of renewable energy goals by the federal government. Three different energy types are studied: wind, solar, and biofuel, for two different federal departments: the Department of Defense and the Department of Energy. A statistical analysis and a meta-analysis of current literature will be the main pieces of information. These departments and energy types were chosen as they represent the highest potential for renewable energy production. It is important to understand any trends in goal setting by the federal government, as well as to understand what these trends represent in terms of predicting renewable energy production. The conclusion for this paper is that the federal government appears to set high goals for renewable energy initiatives. While the goals appear to be high, they are designed based on required characteristics described by the federal government. These characteristics are most often technological advancements, tax incentives, or increased production, with tax incentives having the highest priority. However, more often than not these characteristics are optimistic or simply not met. This leads to the resetting of goals before any goal can be evaluated, making it difficult to determine the goal-setting ability of the federal government.
ContributorsStapleton, Andrew (Co-author) / Charnell, Matthew (Co-author) / Printezis, Antonios (Thesis director) / Kull, Thomas (Committee member) / Barrett, The Honors College (Contributor) / Chemical Engineering Program (Contributor) / Department of Supply Chain Management (Contributor)
Created2015-05
Description
This thesis is structured as a case study that draws primarily from the field of marketing with supplements from supply chain management. It focuses on the Law Offices of Jennifer Hayes over a time period of six months that spans from September 2012 to February 2013. This project examines how

This thesis is structured as a case study that draws primarily from the field of marketing with supplements from supply chain management. It focuses on the Law Offices of Jennifer Hayes over a time period of six months that spans from September 2012 to February 2013. This project examines how the firm's marketing efforts were expanded to include online pay-per-click marketing through Google Adwords. The project was a huge success as it helped fuel the growth of the business through the generation of qualified leads. Additionally, this thesis also tells the story of the complexities and decisions surrounding the project from its inception to its completion. In the process, this thesis found that the value of the advertising spend at a professional services firm can be increased even when cost reductions are impractical. This was be done by first confirming that there is in fact room to enhance value in this spend category. Secondly, the strategy to accomplish this goal took a holistic approach that enhanced the overall competitiveness of the company, not just its revenues.
ContributorsDe La O, Douglas David (Author) / Ostrom, Amy (Thesis director) / Kull, Thomas (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor) / Department of Supply Chain Management (Contributor)
Created2014-05
Description
In the Fall 2021 semester, the Behavioral Lab (in the Supply Chain Management department) was interested in researching the best warehousing inventory management practices. Poor warehouse management can lead to increased lead times and lower customer satisfaction due to errors during the inventory storage and picking processes. Students enrolled in

In the Fall 2021 semester, the Behavioral Lab (in the Supply Chain Management department) was interested in researching the best warehousing inventory management practices. Poor warehouse management can lead to increased lead times and lower customer satisfaction due to errors during the inventory storage and picking processes. Students enrolled in the Supply Chain Management introductory course participated in a simulation called “Warehouseville” to test best practices. In Warehouseville, students completed a series of timed tasks. Participants were incentivized to perform to the best of their ability through financial compensation based on their performance relative to the participant pool average. After the results were summarized, data analysis was performed to derive best practices that can be applied not only to the partner company, Starbucks but also to other firms/industries. As a lab assistant, I assisted in the Warehouseville simulation by helping Professor Craig Carter with any tasks leading up to, during, and following the data collection sessions that he needed support for.
ContributorsMcCormick, Kyle (Author) / Carter, Craig (Thesis director) / Kull, Thomas (Committee member) / Barrett, The Honors College (Contributor) / Department of Supply Chain Management (Contributor) / Dean, W.P. Carey School of Business (Contributor)
Created2022-05
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Description

In the Fall 2021 semester, the Behavioral Lab (in the Supply Chain Management department) was interested in researching the best warehousing inventory management practices. Poor warehouse management can lead to increased lead times and lower customer satisfaction due to errors during the inventory storage and picking processes. Students enrolled in

In the Fall 2021 semester, the Behavioral Lab (in the Supply Chain Management department) was interested in researching the best warehousing inventory management practices. Poor warehouse management can lead to increased lead times and lower customer satisfaction due to errors during the inventory storage and picking processes. Students enrolled in the Supply Chain Management introductory course participated in a simulation called “Warehouseville” to test best practices. In Warehouseville, students completed a series of timed tasks. Participants were incentivized to perform to the best of their ability through financial compensation based on their performance relative to the participant pool average. After the results were summarized, data analysis was performed to derive best practices that can be applied not only to the partner company, Starbucks but also to other firms/industries. As a lab assistant, I assisted in the Warehouseville simulation by helping Professor Craig Carter with any tasks leading up to, during, and following the data collection sessions that he needed support for.

ContributorsMcCormick, Kyle (Author) / Carter, Craig (Thesis director) / Kull, Thomas (Committee member) / Barrett, The Honors College (Contributor) / Department of Supply Chain Management (Contributor)
Created2022-05
165252-Thumbnail Image.png
Description

In the Fall 2021 semester, the Behavioral Lab (in the Supply Chain Management department) was interested in researching the best warehousing inventory management practices. Poor warehouse management can lead to increased lead times and lower customer satisfaction due to errors during the inventory storage and picking processes. Students enrolled in

In the Fall 2021 semester, the Behavioral Lab (in the Supply Chain Management department) was interested in researching the best warehousing inventory management practices. Poor warehouse management can lead to increased lead times and lower customer satisfaction due to errors during the inventory storage and picking processes. Students enrolled in the Supply Chain Management introductory course participated in a simulation called “Warehouseville” to test best practices. In Warehouseville, students completed a series of timed tasks. Participants were incentivized to perform to the best of their ability through financial compensation based on their performance relative to the participant pool average. After the results were summarized, data analysis was performed to derive best practices that can be applied not only to the partner company, Starbucks but also to other firms/industries. As a lab assistant, I assisted in the Warehouseville simulation by helping Professor Craig Carter with any tasks leading up to, during, and following the data collection sessions that he needed support for.

ContributorsMcCormick, Kyle (Author) / Carter, Craig (Thesis director) / Kull, Thomas (Committee member) / Barrett, The Honors College (Contributor) / Department of Supply Chain Management (Contributor)
Created2022-05