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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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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

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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Description
Company X has developed minicomputing products that can change the way people think about minicomputer. The Product A (PRODUCT A) and Product B are relatively new products on the market that have the ability to change the way some industries use technology and increase end-user convenience. The key issue for

Company X has developed minicomputing products that can change the way people think about minicomputer. The Product A (PRODUCT A) and Product B are relatively new products on the market that have the ability to change the way some industries use technology and increase end-user convenience. The key issue for Company X is finding targeted use cases to which Company X can market these products and increase sales. This thesis reports how our team has researched, calculated, and financially forecasted use cases for both the PRODUCT A and Product B. The Education and Healthcare industries were identified as those providing significant potential value propositions and an array of potential use cases from which we could choose to evaluate. Key competitors, market dynamics, and information obtained through interviews with a Product Line Analyst were used to size the available, obtainable, and attainable market numbers for Company X. The models built for this research provided insight into the PRODUCT A and Product B's potential growth in the education and healthcare industries. This led to the selection of education and healthcare use cases for the Product B and the PRODUCT A use cases for healthcare. This report concludes with recommendations for success in education and healthcare with the PRODUCT A and Product B.
ContributorsHoward, James (Co-author) / Kazmi, Abbas (Co-author) / Ralston, Nicholas (Co-author) / Salamatin, Mikkaela Alexis (Co-author) / Simonson, Mark (Thesis director) / Hopkins, David (Committee member) / W.P. Carey School of Business (Contributor) / Department of Finance (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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Description
The purpose of this research project is to develop a recommendation for Company X on the strategies it should use to enter a new market. This was done through the compilation and interpretation of data from the company and the construction of a financial model capable of analyzing our different

The purpose of this research project is to develop a recommendation for Company X on the strategies it should use to enter a new market. This was done through the compilation and interpretation of data from the company and the construction of a financial model capable of analyzing our different proposed strategies. Company X is a leading producer of silicon chips which seeks to remain one of the leading forces in new technologies. Currently Company X wants to assess the value and risks associated with introducing a new packaging technology (FO-WLP) into their products either by developing the technology in-house or outsourcing production. The first portion of the research consisted mostly of gathering the necessary business acumen to be able to to fully understand our research findings. Market research was conducted to discover what competitors exist and what inputs should be included for the model with help from employees at Company X. The research then proceeded with the identification of three possible strategies and construction of financial models to analyze these options. Using the results from our analysis we were able to develop our recommendation for Company X and lay out the next steps which the Company needs to take before investing in the new technology.
ContributorsRubenzer, Jack (Co-author) / Galaviz, Roberto (Co-author) / Mariani, Stephanie (Co-author) / Mecinas, Freddy (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Mike (Committee member) / Department of Finance (Contributor) / Department of Economics (Contributor) / Department of Supply Chain Management (Contributor) / T. Denny Sanford School of Social and Family Dynamics (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
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Description
We gathered and analyzed key data from a wide-range of competitors in the foundry, fabless, and Integrated design manufacturing business. After detecting a downward trend in the return of invested capital (ROIC) and higher capital intensity of Company X, we searched for alternatives to turn this around. We conclude that,

We gathered and analyzed key data from a wide-range of competitors in the foundry, fabless, and Integrated design manufacturing business. After detecting a downward trend in the return of invested capital (ROIC) and higher capital intensity of Company X, we searched for alternatives to turn this around. We conclude that, to decrease the net PPE of Company X, a sale-leaseback transaction would help Company X reduce their balance sheet and provided financing to advance their manufacturing capabilities.
ContributorsBhat, Arjun Khandige (Co-author) / Brock, Ethan (Co-author) / Gamperl, Max (Co-author) / Gupta, Viraj (Co-author) / Macha, Sanketh (Co-author) / Simonson, Mark (Thesis director) / Duran, Juan Carlos (Committee member) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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Description
Smart cities ""utilize information and communication technologies with the aim to increase the life quality of their inhabitants while providing sustainable development"". The Internet of Things (IoT) allows smart devices to communicate with each other using wireless technology. IoT is by far the most important component in the development of

Smart cities ""utilize information and communication technologies with the aim to increase the life quality of their inhabitants while providing sustainable development"". The Internet of Things (IoT) allows smart devices to communicate with each other using wireless technology. IoT is by far the most important component in the development of smart cities. Company X is a leader in the semiconductor industry looking to grow its revenue in the IoT space. This thesis will address how Company X can deliver IoT solutions to government municipalities with the goal of simultaneously increasing revenue through value-added engagement and decreasing spending by more efficiently managing infrastructure upgrades.
ContributorsJiang, Yichun (Co-author) / Davidoff, Eric (Co-author) / Dawoud, Mariam (Co-author) / Rodenbaugh, Ryan (Co-author) / Sinclair, Brynn (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Mike (Committee member) / Department of Information Systems (Contributor) / Department of Finance (Contributor) / Department of Supply Chain Management (Contributor) / Department of Psychology (Contributor) / School of Sustainability (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
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Description
With social technology on the rise, it is no surprise that young students are at the forefront of its use and impact, particularly in the realm of education. Due to greater accessibility to technology, media multitasking and task-switching are becoming increasingly prominent in learning environments. While technology can have numerous

With social technology on the rise, it is no surprise that young students are at the forefront of its use and impact, particularly in the realm of education. Due to greater accessibility to technology, media multitasking and task-switching are becoming increasingly prominent in learning environments. While technology can have numerous benefits, current literature, though somewhat limited in this scope, overwhelmingly shows it can also be detrimental for academic performance and learning when used improperly. While much of the existing literature regarding the impact of technology on multitasking and task-switching in learning environments is limited to self-report data, it presents important findings and potential applications for modernizing educational institutions in the wake of technological dependence. This literature review summarizes and analyzes the studies in this area to date in an effort to provide a better understanding of the impact of social technology on student learning. Future areas of research and potential strategies to adapt to rising technological dependency are also discussed, such as using a brief "technology break" between periods of study. As of yet, the majority of findings in this research area suggest the following: multitasking while studying lengthens the time required for completion; multitasking during lectures can affect memory encoding and comprehension; excessive multitasking and academic performance are negatively correlated; metacognitive strategies for studying have potential for reducing the harmful effects of multitasking; and the most likely reason students engage in media-multitasking at the cost of learning is the immediate emotional gratification. Further research is still needed to fill in gaps in literature, as well as develop other potential perspectives relevant to multitasking in academic environments.
ContributorsKhanna, Sanjana (Author) / Roberts, Nicole (Thesis director) / Burleson, Mary (Committee member) / Barrett, The Honors College (Contributor)
Created2016-12