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The purpose of our research was to develop recommendations and/or strategies for Company A's data center group in the context of the server CPU chip industry. We used data collected from the International Data Corporation (IDC) that was provided by our team coaches, and data that is accessible on the

The purpose of our research was to develop recommendations and/or strategies for Company A's data center group in the context of the server CPU chip industry. We used data collected from the International Data Corporation (IDC) that was provided by our team coaches, and data that is accessible on the internet. As the server CPU industry expands and transitions to cloud computing, Company A's Data Center Group will need to expand their server CPU chip product mix to meet new demands of the cloud industry and to maintain high market share. Company A boasts leading performance with their x86 server chips and 95% market segment share. The cloud industry is dominated by seven companies Company A calls "The Super 7." These seven companies include: Amazon, Google, Microsoft, Facebook, Alibaba, Tencent, and Baidu. In the long run, the growing market share of the Super 7 could give them substantial buying power over Company A, which could lead to discounts and margin compression for Company A's main growth engine. Additionally, in the long-run, the substantial growth of the Super 7 could fuel the development of their own design teams and work towards making their own server chips internally, which would be detrimental to Company A's data center revenue. We first researched the server industry and key terminology relevant to our project. We narrowed our scope by focusing most on the cloud computing aspect of the server industry. We then researched what Company A has already been doing in the context of cloud computing and what they are currently doing to address the problem. Next, using our market analysis, we identified key areas we think Company A's data center group should focus on. Using the information available to us, we developed our strategies and recommendations that we think will help Company A's Data Center Group position themselves well in an extremely fast growing cloud computing industry.
ContributorsJurgenson, Alex (Co-author) / Nguyen, Duy (Co-author) / Kolder, Sean (Co-author) / Wang, Chenxi (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Michael (Committee member) / Department of Finance (Contributor) / Department of Management (Contributor) / Department of Information Systems (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / School of Accountancy (Contributor) / WPC Graduate Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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Company X has developed RealSenseTM technology, a depth sensing camera that provides machines the ability to capture three-dimensional spaces along with motion within these spaces. The goal of RealSense was to give machines human-like senses, such as knowing how far away objects are and perceiving the surrounding environment. The key

Company X has developed RealSenseTM technology, a depth sensing camera that provides machines the ability to capture three-dimensional spaces along with motion within these spaces. The goal of RealSense was to give machines human-like senses, such as knowing how far away objects are and perceiving the surrounding environment. The key issue for Company X is how to commercialize RealSense's depth recognition capabilities. This thesis addresses the problem by examining which markets to address and how to monetize this technology. The first part of the analysis identified potential markets for RealSense. This was achieved by evaluating current markets that could benefit from the camera's gesture recognition, 3D scanning, and depth sensing abilities. After identifying seven industries where RealSense could add value, a model of the available, addressable, and obtainable market sizes was developed for each segment. Key competitors and market dynamics were used to estimate the portion of the market that Company X could capture. These models provided a forecast of the discounted gross profits that could be earned over the next five years. These forecasted gross profits, combined with an examination of the competitive landscape and synergistic opportunities, resulted in the selection of the three segments thought to be most profitable to Company X. These segments are smart home, consumer drones, and automotive. The final part of the analysis investigated entrance strategies. Company X's competitive advantages in each space were found by examining the competition, both for the RealSense camera in general and other technologies specific to each industry. Finally, ideas about ways to monetize RealSense were developed by exploring various revenue models and channels.
ContributorsDunn, Nicole (Co-author) / Boudreau, Thomas (Co-author) / Kinzy, Chris (Co-author) / Radigan, Thomas (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Michael (Committee member) / WPC Graduate Programs (Contributor) / Department of Psychology (Contributor) / Department of Finance (Contributor) / School of Accountancy (Contributor) / Department of Economics (Contributor) / School of Mathematical and Statistical Science (Contributor) / W. P. Carey School of Business (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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For students on a college campus, many courses can present challenges to them academically. Some universities have taken an initiative to respond to this by offering tutoring opportunities at a central location. Generally this provides help for some struggling students, but others are left with many questions unanswered. Two primary

For students on a college campus, many courses can present challenges to them academically. Some universities have taken an initiative to respond to this by offering tutoring opportunities at a central location. Generally this provides help for some struggling students, but others are left with many questions unanswered. Two primary reasons for this are that some tutoring services are broad in scope and that there may not be sufficient one-on-one time with a tutor. With the development of a mobile application, a solution is possible to improve upon the tutoring experience for all students. The concept revolves around the formation of a labor market of freelancers, known as a gig economy, to create a large supply of tutors who can provide their services to a student looking for help in a specific course. A strategic process was followed to develop this mobile application, called Tuzee. To begin, an early concept and design was drafted to shape a clear vision statement and effective user experience. Planning and research followed, where technical requirements including an efficient database and integrated development environment were selected. After these prerequisites, the development stage of the application started and a working app produced. Subsequently, a business model was devised along with possible features to be added upon a successful launch. With a peer-to-peer approach powering the app, monitoring user engagement lies as a core principle for consistent growth. The vision statement will frequently be referred to: enhance university academics by enabling the interaction of students with each other.
ContributorsArcaro, Daniel James (Author) / Ahmad, Altaf (Thesis director) / Sopha, Matthew (Committee member) / Department of Information Systems (Contributor) / WPC Graduate Programs (Contributor) / Department of Management and Entrepreneurship (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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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This research study concerns the issue of gender diversity that still persists in STEM education, especially in computing-related fields. Females are so severely underrepresented in computing education that the diversity in the fields is even less than that in physics in K-12. This research study seeks to address the problem

This research study concerns the issue of gender diversity that still persists in STEM education, especially in computing-related fields. Females are so severely underrepresented in computing education that the diversity in the fields is even less than that in physics in K-12. This research study seeks to address the problem of low female participation in computing-related fields. For the purpose of the study, two versions of surveys were distributed. One was filled out by 94 local elementary school students that mostly in 3rd-4th grade; the other went to 399 college freshmen in W. P. Carey School of Business. It asks questions, including if students are interested in learning STEM, and what reasons explain them having interest or no interest in STEM learning. Meanwhile, the study aims to unveil if there are any gender discrepancies in regards to STEM learning. Besides those dynamics, three factors—attitudes toward learning computer skills, logic, and coding—are examined for indications on students’ interest in STEM learning.
The results suggest no indication that female students are necessarily less interested than male students in studying computing-related majors, despite that female students find working with computers and coding more difficult. Female students have diverse and varied interests that are non-computing-related, which could be an underlying factor that contributes to their “lower” participation in those majors. While self-interest is the key factor that influences students’ decisions in pursuing STEM majors or non-STEM majors, they also consider job market outlook an important factor. Compared to female students, male students tend to cite family influence in deciding whether to study STEM majors. Furthermore, showing positive attitudes toward working with computers, learning new computer skills, and even coding indicates both male and female students’ potential desires to pursue computing-related majors or careers.
ContributorsZhou, Xingyan (Author) / Lin, Elva (Suh-Yun) (Thesis director) / Hsiao, Sharon I-Han (Committee member) / WPC Graduate Programs (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
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Technology is everywhere. It touches every industry and nearly every aspect of our lives. It is paving the way to exciting innovations, solving long-standing problems, and helping us as humans learn at a faster rate than ever before. The Tech Industry is booming, generating an ever-increasing amount of jobs within

Technology is everywhere. It touches every industry and nearly every aspect of our lives. It is paving the way to exciting innovations, solving long-standing problems, and helping us as humans learn at a faster rate than ever before. The Tech Industry is booming, generating an ever-increasing amount of jobs within the workforce. The number of women filling these new jobs, however, has remained static – if not declined. As a female student studying Computer Information Systems, this fact has concerned me for some time and propelled me to dig deeper and get to the root of the problem. It has been no secret that there is a lack of gender equality within the technology industry. Silicon Valley – the tech hub of the United States – has time and again been accused of creating an overwhelming sense of “bro culture”. The numbers are staggeringly obvious – women are entering into the industry at a lower rate than men, women are leaving the industry at a higher rate than men, and women are not being advanced within technology-based careers at the same rate as men. My objective with this creative project was to go beyond the numbers and to understand why this gender gap is still prevalent within the industry and, more importantly, what can be done to shrink the gap. As such, I decided to put faces to the numbers by creating a documentary in which I interviewed eight diverse female professionals with varying backgrounds that are in different stages within their careers in the technology industry. I was able to get real and raw opinions, ideas, and advice from these knowledgeable women to construct my responses to these complex issues. This paper has been structured to outline and analyze the ideas and concepts generated from my interviews of these women.
ContributorsFarias, Isabella Maria (Author) / Moser, Kathleen (Thesis director) / Scott, Kimberly (Committee member) / Department of Information Systems (Contributor) / WPC Graduate Programs (Contributor) / School of Accountancy (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
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Description

In today's business environment, customer service is more critical than ever. It is a major factor when consumers decide where to take their business. However, consumer choice is not applicable to all businesses for example, public utilities. Consumers do not have a choice in picking which utility company provides them

In today's business environment, customer service is more critical than ever. It is a major factor when consumers decide where to take their business. However, consumer choice is not applicable to all businesses for example, public utilities. Consumers do not have a choice in picking which utility company provides them service; the choice depends upon local jurisdictions and predetermined service territories. This lack of choice creates a "forced relationship" between consumers and public utilities. Because the nature of this relationship can have a negative impact, public utilities need to reevaluate their approach and invest in effective customer service as a valuable tool to achieve their organizational goals. This study investigates the need for public utilities to expand their investment; explores the available avenues to expand their investment; and offers a recommended pathway with the features and interface to expand their investment. Technology is the key in achieving organizational goals as it can reengineer internal and external operations. Self-service technology (SST) along with the features of gamification enable an organization to reengineer both its internal and its external operations. Companies can shift work from employees to customers and develop new mediums for customer service interaction. Overall, three investments are analyzed: traditional call centers, online, and mobile. The analysis focuses on available features and how those features affect the achievement of organizational goals. Two studies comprise interviews with utility representatives and a customer survey completed to reinforce findings. Based on the research, a smartphone application is the best option to enhance customer service while addressing all organizational goals.

ContributorsKosednar, Andrew Steven (Author) / Eaton, Kathryn (Thesis director) / Brendza, Daniel (Committee member) / WPC Graduate Programs (Contributor) / School of Accountancy (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
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During the global COVID-19 pandemic in 2020, many universities shifted their focus to hosting classes and events online for their student population in order to keep them engaged. The present study investigated whether an association exists between student engagement (an individual’s engagement with class and campus) and resilience. A single-shot

During the global COVID-19 pandemic in 2020, many universities shifted their focus to hosting classes and events online for their student population in order to keep them engaged. The present study investigated whether an association exists between student engagement (an individual’s engagement with class and campus) and resilience. A single-shot survey was administered to 200 participants currently enrolled as undergraduate students at Arizona State University. A multiple regression analysis and Pearson correlations were calculated. A moderate, significant correlation was found between student engagement (total score) and resilience. A significant correlation was found between cognitive engagement (student’s approach and understanding of his learning) and resilience and between valuing and resilience. Contrary to expectations, participation was not associated with resilience. Potential explanations for these results were explored and practical applications for the university were discussed.

ContributorsEmmanuelli, Michelle (Author) / Jimenez Arista, Laura (Thesis director) / Sever, Amy (Committee member) / College of Integrative Sciences and Arts (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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We attempted to apply a novel approach to stock market predictions. The Logistic Regression machine learning algorithm (Joseph Berkson) was applied to analyze news article headlines as represented by a bag-of-words (tri-gram and single-gram) representation in an attempt to predict the trends of stock prices based on the Dow Jones

We attempted to apply a novel approach to stock market predictions. The Logistic Regression machine learning algorithm (Joseph Berkson) was applied to analyze news article headlines as represented by a bag-of-words (tri-gram and single-gram) representation in an attempt to predict the trends of stock prices based on the Dow Jones Industrial Average. The results showed that a tri-gram bag led to a 49% trend accuracy, a 1% increase when compared to the single-gram representation’s accuracy of 48%.

ContributorsBarolli, Adeiron (Author) / Jimenez Arista, Laura (Thesis director) / Wilson, Jeffrey (Committee member) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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The field of veterinary medicine can be rewarding, but also very demanding. Research has shown that many practicing veterinarians struggle with mental illness, and the profession has one of the highest suicide rates in the United States. Research has also shown that many veterinary students struggle with mental illness. It

The field of veterinary medicine can be rewarding, but also very demanding. Research has shown that many practicing veterinarians struggle with mental illness, and the profession has one of the highest suicide rates in the United States. Research has also shown that many veterinary students struggle with mental illness. It is important to further research the mental health of veterinary students and how that can correlate with one's mental health as a practicing veterinarian. The purpose of this project is to summarize findings of the literature concerning the mental health of veterinary students and to present a new resource, the Wisdom Vet app, that can potentially support the well-being of veterinary students.

ContributorsYounger, Darien (Author) / Jimenez Arista, Laura (Thesis director) / Ocampo-Hoogasian, Rachel (Committee member) / Barrett, The Honors College (Contributor) / College of Integrative Sciences and Arts (Contributor)
Created2022-05