This collection includes both ASU Theses and Dissertations, submitted by graduate students, and the Barrett, Honors College theses submitted by undergraduate students. 

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Description
This thesis discusses methodology used to assess the financial health of Company X's suppliers. Each suppliers' industry characteristics and key risk exposures are identified using the Porter's Five Forces. Along with qualitative analysis, financial data is analyzed with the Altman Z-Scores, forecasted financial statements, and comparative ratio analysis. The focus

This thesis discusses methodology used to assess the financial health of Company X's suppliers. Each suppliers' industry characteristics and key risk exposures are identified using the Porter's Five Forces. Along with qualitative analysis, financial data is analyzed with the Altman Z-Scores, forecasted financial statements, and comparative ratio analysis. The focus is narrowed down throughout the process to enable further investigation on Supplier E and the semiconductor-memory industry.The procedure and results of the analysis lead to the final recommendation to Company X on how it should assess the financial health of suppliers in the semiconductor-memory industry, and possibly other industries, using our methodology.
ContributorsBanda, Janelle (Co-author) / McDermott, Eric (Co-author) / Park, Hye Jun (Co-author) / Corral, Esteban (Co-author) / Hertzel, Michael (Thesis director) / Simonson, Mark (Committee member) / Schulz, Matthew (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor) / School of Mathematical and Natural Sciences (Contributor) / School of Accountancy (Contributor) / Economics Program in CLAS (Contributor)
Created2014-05
Description
The rapid expansion of artificial intelligence has propelled significant growth in the GPU market. In the evolving data center landscape, Company X faces challenges due to its lag in entering the GPU market, which jeopardizes its competitive advantage against industry players like Nvidia and AMD. To address these issues, our

The rapid expansion of artificial intelligence has propelled significant growth in the GPU market. In the evolving data center landscape, Company X faces challenges due to its lag in entering the GPU market, which jeopardizes its competitive advantage against industry players like Nvidia and AMD. To address these issues, our thesis aims to analyze market dynamics between CPUs and GPUs-whether they present distinct markets or compete against each other. We seek to guide Company X in maximizing profitability and sustaining its pivotal role in the semiconductor industry amidst the AI revolution. Specifically, we discuss optimizing their GPU offering, Falcon Shores, towards specific markets and doubling down on the production of CPUs.
ContributorsMostaghimi, Dunya (Author) / Kujawa, Brennan (Co-author) / Ulreich-Power, Cameron (Co-author) / Livesay, Thomas (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Mike (Committee member) / Barrett, The Honors College (Contributor) / Department of Economics (Contributor)
Created2024-05