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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 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
Description
Over the course of six months, we have worked in partnership with Arizona State University and a leading producer of semiconductor chips in the United States market (referred to as the "Company"), lending our skills in finance, statistics, model building, and external insight. We attempt to design models that help predict how much time it takes to implement a cost-saving project. These projects had previously been considered only on the merit of cost savings, but with an added dimension of time, we hope to forecast time according to a number of variables. With such a forecast, we can then apply it to an expense project prioritization model which relates time and cost savings together, compares many different projects simultaneously, and returns a series of present value calculations over different ranges of time. The goal is twofold: assist with an accurate prediction of a project's time to implementation, and provide a basis to compare different projects based on their present values, ultimately helping to reduce the Company's manufacturing costs and improve gross margins. We believe this approach, and the research found toward this goal, is most valuable for the Company. Two coaches from the Company have provided assistance and clarified our questions when necessary throughout our research. In this paper, we begin by defining the problem, setting an objective, and establishing a checklist to monitor our progress. Next, our attention shifts to the data: making observations, trimming the dataset, framing and scoping the variables to be used for the analysis portion of the paper. Before creating a hypothesis, we perform a preliminary statistical analysis of certain individual variables to enrich our variable selection process. After the hypothesis, we run multiple linear regressions with project duration as the dependent variable. After regression analysis and a test for robustness, we shift our focus to an intuitive model based on rules of thumb. We relate these models to an expense project prioritization tool developed using Microsoft Excel software. Our deliverables to the Company come in the form of (1) a rules of thumb intuitive model and (2) an expense project prioritization tool.
ContributorsAl-Assi, Hashim (Co-author) / Chiang, Robert (Co-author) / Liu, Andrew (Co-author) / Ludwick, David (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Michael (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor) / Department of Finance (Contributor) / Department of Economics (Contributor) / Department of Supply Chain Management (Contributor) / School of Accountancy (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Mechanical and Aerospace Engineering Program (Contributor) / WPC Graduate Programs (Contributor)
Created2015-05
Description
This paper about the Garden Grub concerns the growing Agritech industry along with exposing middle school students to STEM education. Currently over half of America's students are not prepared to be successful in our technology driven world. These students did not have the opportunity to be exposed to many Science, Technology, Engineering, and Math related careers or majors before entering the working world and/or college. These students are unaware of the real-life applications these topics can have and will never have the chance to pursue these fields. Using the Garden Grub, students will be introduced to the world of Agritech and how traditional agriculture is changing in include more technology. The Garden Grub is designed to not only introduce students to STEM in general, but specifically the Agritech Industry. With the Garden Grub kit and instructions students will be able to construct a small device that will monitor the external temperature and the soil moisture of a plant they are growing. For future implementations of the Garden Grub, we will develop a structured lesson plan to teach the users more about the device they are building. This is so in the future users could continue their education in Agritech and STEM because they have more knowledge on the subjects From standalone testing the Garden Grub, the device was able to successfully monitor the lettuce to ensure that it grew successfully. The Garden Grub instructions and kit were tested in a fourth-grade classroom, where college volunteers worked with the students to begin to create their own device. While there was not enough time to successfully complete the product the fourth graders were more interested in STEM than when we first started. Even though they struggled in the beginning, students quickly learned basic concepts , such as +/- circuit power, transfer of data, and sensor connections. More recently we were able to go into a middle school and teach in a classroom with the students who were part of a coding elective course. Since our last outing we were able to update the user manual and prepare more ahead of time. This gave us more time to explain the concepts to the students, along with being able to successful build all of the devices. They began to think of ways that this device could be applicable to their lives along with how the Garden Grub could be improved in the future.
ContributorsWynia, Rachel Marie (Author) / Lin, Elva (Thesis director) / Eakin, Hallie (Committee member) / WPC Graduate Programs (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
The National Basketball Association is one of the most popular and most profitable sports leagues in the entire world, and with stars like Giannis Antetokounmpo, Nikola Jokić, and Luka Dončić, it continues to expand its international reach. In the past decade this has meant that the salary cap has continued to increase considerably. From 2013 to 2017 the salary cap increased by about $40.5 million from around $58.5 million to $99 million meaning there was an extra $1.2 billion worth of cap space to fill. All this new cap space created a perfect storm for numerous players to be overpaid. Many saw the performance of these overpaid players as a part of the contract year phenomenon where a player performs better before a new contract and then after receiving their new contract, their performance deteriorates. The purpose of this research is twofold. First, it looks at whether the contract year phenomenon has been present in the NBA since 2015. After that it looks to find what statistics are the best predictors for performance based on their positions. This was done through various statistical analysis techniques such as T-tests and piecewise regression. Box score statistics like point, rebounds, and assists as well as advanced metrics like player efficiency rating, usage percentage, and true shooting percentage were utilized in this study. The results indicated that the concept of the contract year phenomenon was present in the players sampled. However, rather than contract year only being for players who increased their performance in the previous year, it is a more general phenomenon. Also, there was major differences in the statistics that predicted performance. The biggest of these was the importance of usage percentage rather than points and that centers had the least predictors, most likely due to the evolution in the play of centers.
ContributorsUmland, Matthew (Author) / Eaton, John (Thesis director) / McIntosh, Daniel (Committee member) / Barrett, The Honors College (Contributor) / School of Accountancy (Contributor) / WPC Graduate Programs (Contributor)
Created2022-05
Description
The goal of Dough is to create financial content that educates college students and young adults in areas of financial literacy. College students and young adults generally have debt from student loans, and typically don’t have much time to work as they focus on school and earn their degree. Financial literacy can make the lives of young adults much easier, however this is typically not a resource that is easily available to them. Our proposed solution to fight the lack of financial literacy is to create educational content including videos, articles, and a website that educates students and young adults on how to acquire good financial habits.
ContributorsRodríguez, Natalia (Author) / Clausen, Taylor (Co-author) / Mitchell, Zachary (Co-author) / Gibson, Cole (Co-author) / Byrne, Jared (Thesis director) / Satpathy, Asish (Committee member) / Barrett, The Honors College (Contributor) / School of Accountancy (Contributor) / WPC Graduate Programs (Contributor)
Created2022-05
Description
At a time when the national and world community is viewing collegiate business programs as complicit in many recent business scandals rooted in ethical violations and breaches of trust, improving ethics education is a high priority. Review of current research on techniques for effectively teaching ethics highlights the importance of incorporating conversational learning, decision models, and relevant, personalized case discussions into undergraduate ethics lessons. Focusing exclusively on ethics education in the first-year business seminar WPC 101, we evaluated the current ethics/academic integrity module and found it to be lacking many research-supported techniques. To develop an updated curriculum, we first used the EthicsGame Ethical Lens Inventory in a survey of 114 W. P. Carey students to explore whether a connection between students' majors and primary ethical lenses would demonstrate the effectiveness of designing different, tailored ethics curricula for students in each major. Regression analysis of the survey responses indicated that this research was inconclusive for every major except for Accountancy, which already has a specific (upper-division) ethics course. This initial research stage led to the creation of a universally applicable ethics curriculum based on the Baird Decision Model. Incorporating techniques from the literature review, the new WPC 101 Academic Honesty & Ethics curriculum includes a presentation on the Baird Decision Model, a small-group discussion of a relevant ethical dilemma, and a class role play. The curriculum additionally includes detailed Facilitator Guidelines for educators. The curriculum was piloted in WPC 101 classes during Spring 2016, and we present student and facilitator feedback as well as suggestions for further research and improvement. Use of this research-backed curriculum and further study into its impact on student decision making will allow W. P. Carey to continue advancing in pursuit of training students to be effective ethical leaders.
ContributorsMcClelland, Allison (Co-author) / Mayper, Rebecca (Co-author) / Samuelson, Melissa (Thesis director) / Parker, John (Committee member) / Department of Information Systems (Contributor) / Department of Management (Contributor) / School of Accountancy (Contributor) / WPC Graduate Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05