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Description
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
Description
Multiple sclerosis is a neurological disease that attacks the nerves in the central nervous system of the brain and spinal cord. Multiple sclerosis is a neurological disease that attacks the nerves in the central nervous system of the brain and spinal cord. The severity of multiple sclerosis varies based on the each person and the progression of the disease. There are roughly 2.5 million people that suffer from this disease that life is changed dramatically from being diagnosed with no main way to ease into adjusting to a new lifestyle. The increase of people that are diagnosed with multiple sclerosis, and with a majority of those people being diagnosed in their early 20’s, there is a need for an application that will help patients manage their health. Multiple sclerosis leads to a lifestyle change, which includes various treatment options as well as routine doctor appointments. The creation of the myMS Specialist application will allow patients with multiple sclerosis to live a more comfortable lifestyle while they easily track and manage their health through their mobile devices. Our application has seven components that all play an important role in adjusting to the new everyday lifestyle for a patient with multiple sclerosis. All seven components are largely intertwined with each other to help patients realize patterns in their diet, sleep, exercise and the weather that causes their symptoms to worsen. Our application not only connects to a patient’s doctor so that there is full access of information at all time to the doctor but provides beneficial research to help further the understanding of multiple sclerosis. This application will be marketed and available for purchase to not only patients but doctors. It is our goal to lessen the burden of a new lifestyle to a patient, create constant communication with one’s doctor and provide beneficial data to researchers.
ContributorsSaenz, Devon (Co-author) / Peterson, Tyler (Co-author) / Chomina-Chavez, Aram (Thesis director) / Staats, Cody (Committee member) / W. P. Carey School of Business (Contributor) / Herberger Institute for Design and the Arts (Contributor) / School of Accountancy (Contributor) / Sandra Day O'Connor College of Law (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
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
Description
The author is an accounting major headed into the public accounting industry. As a tax intern his senior year, he was able to work in the thick of "busy season", when tax returns are due for submission and work is very busy. The author tired of working long hours and continuous talking with his accounting friends how working on Saturdays and long weeknights was generally accepted. Best value principles from Dr. Dean Kashiwagi's Information Measurement Theory were applied to examine how to maximize efficiency in public accounting and reduce the workload. After reviewing how Information Measurement Theory applies to public accounting, the author deemed three possible solutions to improve the working conditions of public accountants. First, to decrease the work load during busy season, tax organizers need to be sent earlier and staff should be assigned to oversee this information gathering. Second, in order to better prepare new hires to become partners, the career path needs to be outlined on day one with a career guide. Finally, in order to more successfully on board new hires due to the steep learning in public accounting, firms should utilize buddy systems and encourage organic mentoring.
ContributorsBohmke, Scott (Author) / Kashiwagi, Dean (Thesis director) / Kashiwagi, Jacob (Committee member) / Barrett, The Honors College (Contributor) / WPC Graduate Programs (Contributor) / School of Accountancy (Contributor)
Created2015-05
Description
The present study investigates the differences in the academic motivation of traditional and non-traditional students according to Self Determination Theory. Additionally, the study explores the relationships between academic motivation and academic, career, and family stress in traditional and non-traditional students according to the Challenge and Hindrance Stress Framework. A survey was administered to 744 undergraduate students at Arizona State University. An independent samples t-test indicated significant differences between several student groups. According to the results, non-traditional students are more intrinsically motivated "to know" and traditional students are more extrinsically motivated by "identified regulation" and "external regulation". Additionally, a correlation matrix indicated that academic stress is positively related to extrinsic motivation, family stress is related to both intrinsic and extrinsic motivation in all students, and career stress is related to intrinsic and extrinsic motivation in working students.
ContributorsBickle, Jessica Aaron (Author) / LePine, Marcie (Thesis director) / Clemons, Jamie (Committee member) / Batac, Jo (Committee member) / Barrett, The Honors College (Contributor) / School of Accountancy (Contributor) / WPC Graduate Programs (Contributor)
Created2014-12
Description
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 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
The main goal of this study was to understand the awareness of small business owners regarding occupational fraud, meaning fraud committed from within an organization. A survey/questionnaire was used to gather insight into the knowledge and perceptions of small business owners, while also obtaining information about the history of fraud and the internal controls within their business. Twenty-four owners of businesses with less than 100 employees participated in the study. The results suggest that small business owners overestimate their knowledge regarding internal controls and occupational fraud, while also underestimating the risk of fraud within their own business. In fact, 92% of participants were not at all familiar with the popular Internal Control \u2014 Integrated Framework published by the Committee of Sponsoring Organizations of the Treadway Commission. The results also show that small business owners tend to overestimate the protection provided by their currently implemented controls in regard to their risk of fraud. Overall, through continued knowledge of internal controls and occupational fraud, business owners can better protect their businesses from the risk of occupational fraud by increasing their awareness of fraud.
ContributorsDennis, Lauren Nicole (Author) / Orpurt, Steven (Thesis director) / Munshi, Perseus (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor) / School of Accountancy (Contributor)
Created2014-05
GENDER DIVERSITY IN STEM: Investigation into Gender Implication in Pursuing Computing-related Majors
Description
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.
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
Description
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