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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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In A Comparative Analysis of Indoor and Greenhouse Cannabis Cultivation Systems, the two most common systems for commercial cannabis cultivation are compared using an operational and capital expenditure model combined with a collection of relevant industry sources to ascertain conclusions about the two systems' relative competitiveness. The cannabis industry is

In A Comparative Analysis of Indoor and Greenhouse Cannabis Cultivation Systems, the two most common systems for commercial cannabis cultivation are compared using an operational and capital expenditure model combined with a collection of relevant industry sources to ascertain conclusions about the two systems' relative competitiveness. The cannabis industry is one of the fastest growing nascent industries in the United States, and, as it evolves into a mature market, it will require more sophisticated considerations of resource deployment in order to maximize efficiency and maintain competitive advantage. Through drawing on leading assumptions by industry experts, we constructed a model of each system to demonstrate the dynamics of typical capital deployment and cost flow in each system. The systems are remarkably similar in many respects, with notable reductions in construction costs, electrical costs, and debt servicing for greenhouses. Although the differences are somewhat particular, they make up a large portion of the total costs and capital expenditures, causing a marked separation between the two systems in their attractiveness to operators. Besides financial efficiency, we examined quality control, security, and historical norms as relevant considerations for cannabis decision makers, using industry sources to reach conclusions about the validity of each of these concerns as a reason for resistance to implementation of greenhouse systems. In our opinion, these points of contention will become less pertinent with the technological and legislative changes surrounding market maturation. When taking into account the total mix of information, we conclude that the greenhouse system is positioned to become the preeminent method of production for future commercial cannabis cultivators.
ContributorsShouse, Corbin (Co-author) / Nichols, Nathaniel (Co-author) / Swenson, Dan (Thesis director) / Cassidy, Nancy (Committee member) / Feltham, Joe (Committee member) / School of Accountancy (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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I was interested to see if there were any statistically significant differences in political ideology between Master's of Accountancy students (MACC) and Master's of Taxation students (MTax) at Arizona State University. I hypothesized that the MACC students would tend to be more liberal or less conservative than the MTax students,

I was interested to see if there were any statistically significant differences in political ideology between Master's of Accountancy students (MACC) and Master's of Taxation students (MTax) at Arizona State University. I hypothesized that the MACC students would tend to be more liberal or less conservative than the MTax students, while the MTax students would tend to be more conservative or less liberal than the MACC students. Scholars have found ways that conservatives and liberals differ, including differences in personality traits of conscientiousness and openness, as well as the types of careers they are drawn to. Scholars have also performed personality tests on accountants, accounting students, and accounting faculty to show how they differ. I distributed a voluntary online survey to students to discern their political beliefs. Most of the questions I asked did not reveal any statistically significant differences between students from the two programs, but the questions that did reveal some statistically significant differences showed that MACC students were more likely to be liberal or less conservative on certain issues, while the opposite was true for the MTax students. The statistically significant differences tended to appear for questions related to social policy rather than economic policy. This finding supports previous studies that show how social policy tends to be more divisive than economic policy.
ContributorsAnderson, Brett Patrick (Author) / Lewis, Paul (Thesis director) / Lowe, D. Jordan (Committee member) / Department of Finance (Contributor) / School of Accountancy (Contributor) / Barrett, The Honors College (Contributor)
Created2015-12
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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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The competitive nature of business requires managers to consistently work towards eliminating unnecessary costs and improving financial management. Worldwide, fraud remains a pervasive and expensive problem for businesses. Fraud involving misappropriation of assets (commonly referred to as embezzlement) and fraudulent financial reporting cost organizations trillions of dollars worldwide. To better

The competitive nature of business requires managers to consistently work towards eliminating unnecessary costs and improving financial management. Worldwide, fraud remains a pervasive and expensive problem for businesses. Fraud involving misappropriation of assets (commonly referred to as embezzlement) and fraudulent financial reporting cost organizations trillions of dollars worldwide. To better understand the most effective ways of combating misappropriation and to a lesser extent, fraudulent financial reporting, this paper evaluates research and reports the results of expert interviews with accountants, forensic experts, and security specialists.
ContributorsMurnane, George (Author) / Munshi, Perseus (Thesis director) / Pany, Kurt (Committee member) / School of Accountancy (Contributor) / WPC Graduate Programs (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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Prenatal care is a widely administered preventative care service, and its adequate use has been shown to decrease poor infant and maternal health outcomes. Today however, in the United States, preterm birth rates remain among the highest in the industrialized world, with low socioeconomic women having the highest risk of

Prenatal care is a widely administered preventative care service, and its adequate use has been shown to decrease poor infant and maternal health outcomes. Today however, in the United States, preterm birth rates remain among the highest in the industrialized world, with low socioeconomic women having the highest risk of preterm births. This group of women also face the greatest barriers to access adequate prenatal care in the United States. This paper explores the viability of short message service to help bridge gaps in prenatal care for low socioeconomic women in the United States and provides areas for further research.
ContributorsMiles, Kelly Nicole (Author) / Ketcham, Jonathan (Thesis director) / Santanam, Raghu (Committee member) / Barrett, The Honors College (Contributor) / W. P. Carey School of Business (Contributor) / Department of Marketing (Contributor) / Department of Finance (Contributor)
Created2014-05
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Over the years from 2009 to 2017, the people of Arizona witnessed the state consistently defunding the schools, its students academically underperforming, and as a result, the poverty achievement gap widening. Even with the efforts in recent years to re-invest in education, Arizona’s education funding falls below its level at

Over the years from 2009 to 2017, the people of Arizona witnessed the state consistently defunding the schools, its students academically underperforming, and as a result, the poverty achievement gap widening. Even with the efforts in recent years to re-invest in education, Arizona’s education funding falls below its level at 2008 and the national average. Among Arizona’s funding sources is the Public School Tax Credit, a unique legislation for the state that allows for taxpayers to donate money to certain programs at Arizona public schools and reduce their state income tax liability dollar-for-dollar. Because of the already severe achievement gap in Arizona, this funding source which relies on surrounding neighborhoods’ income raises the concern that, instead of helping Arizona students, it is exacerbating the existing achievement gap. The purpose of this paper is to examine the relationship between income and donations received by schools to determine the validity of this concern. To ensure a comprehensive examination of the relationship between income and donations received, regression tests are run on both the aggregate level and individual level. The tests find that, although income does have a statistically significant correlation with the donations received, it is only positive for the effect of total income on total donations, negative for the effect of average income per return on average donation per donor, and negative for average income per return on total donations. The results imply that to garner high donations, it matters less to be located in a high-earning neighborhood and more important to be located in a moderate-earning neighborhood with a lot of people donating using this credit. Therefore, the concern of income’s effect on donations is valid, but perhaps not in the straightforward way that we would expect.
ContributorsChen, Vivian Young (Author) / Kenchington, David (Thesis director) / Brown, Jenny (Committee member) / Department of Finance (Contributor) / School of Accountancy (Contributor) / School of Politics and Global Studies (Contributor) / Barrett, The Honors College (Contributor)
Created2020-12
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Personal branding within the music industry has long fallen under the supervision of profit-centric major record labels, whose control extended throughout artist’s music, copyrights, merchandising, and fair-use compensation. This paper explores how artists’ branding has evolved within the recording industry alongside the development of emerging technologies and the discovery of

Personal branding within the music industry has long fallen under the supervision of profit-centric major record labels, whose control extended throughout artist’s music, copyrights, merchandising, and fair-use compensation. This paper explores how artists’ branding has evolved within the recording industry alongside the development of emerging technologies and the discovery of certain patterns in consumer behavior. Starting with an overarching exploration of the origins of commercialized music, this paper iterates how certain record labels ascended the corporate hierarchy to influence consumers’ accessible listening options. This understanding leads to an analysis of the inception of illegal file-sharing websites as an outlet for music distribution, as well as its long-lasting effects on industry distribution tactics and music streaming platforms. This paper then narrows to the origins of the rap industry, delving into the traditionally-rooted experiential celebrations that birthed such an impactful genre. Following an understanding of the history of the recording and rap industries, this paper identifies the modern music listener’s behaviors and choices, supplemented by an examination of how consumer social technologies have motivated these changes. To best understand the role of these evolving perceptions, this paper evaluates four successful rap artists - Chance the Rapper, Tekashi 6ix9ine, Lil Nas X, and Travis Scott - and determines the strategies employed by these individuals and their branding teams. Finally, in determining these strategies, this paper outlines the essential takeaways from this research that would aid in the advancement of an artist’s personal branding today.
ContributorsBoyle, Jared Devin (Co-author) / Schneider, Garrett (Co-author) / Giles, Charles (Thesis director) / Lisjak, Monika (Committee member) / School of Music (Contributor) / Department of Marketing (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2019-12
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The direction of artificial intelligence is one of the most important and popular topics of technological development. Both experts and the average person agree AI will continue to play a massive role in virtually all industries. Despite this shared belief, AI has continued to progress at a limited rate, limited

The direction of artificial intelligence is one of the most important and popular topics of technological development. Both experts and the average person agree AI will continue to play a massive role in virtually all industries. Despite this shared belief, AI has continued to progress at a limited rate, limited by conventional schools of thought and mathematical approaches. In order for truly intelligent technology to exist, one must succeed in modeling the human brain as a system, not its functionalities. Conventional AI attempts to account for all the variables and permutations of a given situation rather than creating a closed system that can implicitly utilize data to form completely unique conclusions without human intervention. By bridging the gap between mathematics, biology, and neurology, Igni will become the world's first hyper intelligent artificial intelligence system. In order to understand Igni, one must first understand the progression of conventional AI and its limitations. Then they can understanding the major components of Igni and how this technology overcomes conventional limitations in its journey to revolutionize most industries.
ContributorsYu, Vince Winghang (Co-author) / Patel, Ishan (Co-author) / Dawson, Gregory (Thesis director) / Garverick, Michael (Committee member) / Department of Finance (Contributor) / School of Accountancy (Contributor) / Barrett, The Honors College (Contributor)
Created2018-12
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The goal of this study was to explore the relationship between locus of control and the influence of an unethical authority figure. This research is a preliminary, exploratory study given research design limits. It was hypothesized that subjects oriented towards internal locus of control are better able to resist pressure

The goal of this study was to explore the relationship between locus of control and the influence of an unethical authority figure. This research is a preliminary, exploratory study given research design limits. It was hypothesized that subjects oriented towards internal locus of control are better able to resist pressure from an unethical authority figure. Subjects oriented towards the powerful others and chance orientations were hypothesized to be less able to resist pressure from an unethical authority figure. The results found that the presence of an unethical authority figure had little to no influence on self-perceived unethical decision-making; the difference in unethical behavior between cases with an authority figure present and without one present was not statistically significant. Further, no support was found for the hypotheses as no statistically significant relationship between locus of control orientations and the difference between the control case and test case was found (R2 = 0.02, model P-value > 0.05). Further analysis confirmed the results of Detert et al. (2008), finding no relationship between survey subjects’ locus of control orientations and unethical decision-making. Additional analysis indicates a relationship between unethical decision-making and gender (B = -5.14, P = 0.03, P < 0.05), providing some interesting avenues for future research.
ContributorsAmorosi, Kaitlin (Author) / Samuelson, Melissa (Thesis director) / Orpurt, Steven (Committee member) / Department of Finance (Contributor) / School of Accountancy (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05