Matching Items (5)
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- All Subjects: IoT
- Creators: Simonson, Mark
Description
There is a growing demand for discrete graphics processing units (dGPU) in the internet of things. Our subject company, Company X, has decided to develop a dGPU to be used in client computing (desktops, laptops, etc). This project will address whether or not company X should invest time and money into adopting their existing client focused dGPU for applications in IoT such as digital signage, gaming, or medical imaging. If this investment is to be made, we will also make specific recommendations about how Company X should enter the IoT space. The project will be completed in three stages. The first stage will consist of an analysis of the competitive landscape and research on dGPUs and how they differ from integrated GPUs. Stage two will focus primarily on the IoT space and how the competitors are using dGPUs in the IoT along with an analysis of three potential use cases for Company X’s dGPU. Finally, we will build a comprehensive financial model based on our research of one specific IoT segment where Company X could potentially enter. Based on these stages, we will then offer a conclusion and recommendation on whether Company X should invest in this project.
ContributorsSmith, Jesse Thomas (Co-author) / Nickel, Jack (Co-author) / Sethia, Priyanka (Co-author) / Morey, Jake (Co-author) / Bergauer, Kevin (Co-author) / Simonson, Mark (Thesis director) / Kreutner, Caleb (Committee member) / School of Sustainability (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Abstract: Handling the multiple functions of monetary policy that protect the U.S. economy not only on a short term, but also long-term scale is a complicated responsibility assigned to Federal Reserve, in which their actions present a profound impact on consumer confidence towards financial markets and global economies. Specifically, one of the most important goals of the Federal Reserve is to mitigate the risk of the United States to enter a recession, while maintaining a balanced approach when making those policy decisions. In this thesis, we focus on the monetary policy of the Federal Reserve, particularly, their role in controlling interest rates to prevent recessionary sentiment in the current state of the economy. Since 2008, markets have been stronger and previous policies like Dodd-Frank have ensured that market collapses during the Great Recession do not repeat itself. Yet, fluctuations in the yield curve, polarizing investment views, and unsettled consumer confidence has pointed to another recession in the near future. In this case, we will look at the way the Fed has implemented short term policies to lower this risk in order to fight volatile markets, however, fluctuating interest rates has its consequences. The goal of this thesis is to analyze the various ways the Fed has managed interest rates in the past and present, and further, to offer a framework to serve as the most effective policy to combat volatility and recessionary sentiment in the U.S. economy.
ContributorsPatel, Dylan (Author) / Sacks, Jana (Thesis director) / Simonson, Mark (Committee member) / Economics Program in CLAS (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
While a fairly new concept, Internet of Things (IoT) has become an important part of the business structure and operating segments of many technology companies in the last decade. IoT refers to the evolution of devices that, connected to the internet, can share and integrate information, becoming an always-growing intelligent system of systems. As a leader in the semiconductor industry, Company X and its growing IoT division, have constant new challenges and opportunities given the complexity of the IoT field. The business model employed by the IoT division includes adopting and modifying existing technologies and products from its sister groups within Company X. Since these products are being leveraged by the IoT division, it makes indirect research and development allocation for said products much more complex. This thesis will address how the IoT division at Company X can approach this problem in the most beneficial way for the division and company as a whole through the analysis of two allocation methodologies: percentage of revenue (Allocation Basis 1) and percentage of direct research and development (Allocation Basis 2).
ContributorsJerez Casillas, Diana (Author) / Abang, Joycelyn (Co-author) / Stanek, Christopher (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Michael (Committee member) / Barrett, The Honors College (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Department of Finance (Contributor) / Watts College of Public Service & Community Solut (Contributor)
Created2022-05
Description
While a fairly new concept, Internet of Things (IoT) has become an important part of the business structure and operating segments of many technology companies in the last decade. IoT refers to the evolution of devices that, connected to the internet, can share and integrate information, becoming an always-growing intelligent system of systems. As a leader in the semiconductor industry, Company X and its growing IoT division, have constant new challenges and opportunities given the complexity of the IoT field. The business model employed by the IoT division includes adopting and modifying existing technologies and products from its sister groups within Company X. Since these products are being leveraged by the IoT division, it makes indirect research and development allocation for said products much more complex. This thesis will address how the IoT division at Company X can approach this problem in the most beneficial way for the division and company as a whole through the analysis of two allocation methodologies: percentage of revenue (Allocation Basis 1) and percentage of direct research and development (Allocation Basis 2).
ContributorsStanek, Christopher (Author) / Jerez Casillas, Diana (Co-author) / Abang, Joycelyn (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Michael (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor) / Department of Supply Chain Management (Contributor)
Created2022-05
Description
While a fairly new concept, Internet of Things (IoT) has become an important part of the business structure and operating segments of many technology companies in the last decade. IoT refers to the evolution of devices that, connected to the internet, can share and integrate information, becoming an always-growing intelligent system of systems. As a leader in the semiconductor industry, Company X and its growing IoT division, have constant new challenges and opportunities given the complexity of the IoT field. The business model employed by the IoT division includes adopting and modifying existing technologies and products from its sister groups within Company X. Since these products are being leveraged by the IoT division, it makes indirect research and development allocation for said products much more complex. This thesis will address how the IoT division at Company X can approach this problem in the most beneficial way for the division and company as a whole through the analysis of two allocation methodologies: percentage of revenue (Allocation Basis 1) and percentage of direct research and development (Allocation Basis 2).
ContributorsAbang, Joycelyn (Author) / Jerez Casillas, Diana (Co-author) / Stanek, Christopher (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Michael (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor)
Created2022-05