Matching Items (38)
Filtering by

Clear all filters

Description

The PPP Loan Program was created by the CARES Act and carried out by the Small Business Administration (SBA) to provide support to small businesses in maintaining their payroll during the Coronavirus pandemic. This program was approved for $350 billion, but this amount was expanded by an additional $320 billion

The PPP Loan Program was created by the CARES Act and carried out by the Small Business Administration (SBA) to provide support to small businesses in maintaining their payroll during the Coronavirus pandemic. This program was approved for $350 billion, but this amount was expanded by an additional $320 billion to meet the demand by struggling businesses, since initial funding was exhausted under two weeks.<br/><br/>Significant controversy surrounds the program. In December 2020, the Department of Justice reported 90 individuals were charged for fraudulent use of funds, totaling $250 million. The loans, which were intended for small business, were actually approved for 450 public companies. Furthermore, the methods of approval are<br/>shrouded in mystery. In an effort to be transparent, the SBA has released information about loan recipients. Conveniently, the SBA has released information of all recipients. Detailed information was released for 661,218 recipients who have received a PPP loan in excess of $150,000. These recipients are the central point of this research.<br/><br/>This research sought to answer two primary questions: how did the SBA determine which loans, and therefore which industries are approved, and did the industries most affected by the pandemic receive the most in PPP loans, as intended by Congress? It was determined that, generally, PPP Loans were approved on the basis of employment percentages relative to the individual state. Furthermore, in general, the loans approved were approved fairly, with respect to the size of the industry. The loans, when adjusted for GDP and Employment factors, yielded a clear ranking that prioritized vulnerable industries first.<br/><br/>However, significant questions remain. The effectiveness of the PPP has been hindered by unclear incentives and negative outcomes, characterized by a government program that has essentially been rushed into service. Furthermore, limitations of available data to regress and compare the SBA's approved loans are not representative of small business.

ContributorsMaglanoc, Julian (Author) / Kenchington, David (Thesis director) / Cassidy, Nancy (Committee member) / Department of Finance (Contributor) / Dean, W.P. Carey School of Business (Contributor) / School of Accountancy (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
136098-Thumbnail Image.png
Description
In order to discover if Company X's current system of local trucking is the most efficient and cost-effective way to move freight between sites in the Western U.S., we will compare the current system to varying alternatives to see if there are potential avenues for Company X to create or

In order to discover if Company X's current system of local trucking is the most efficient and cost-effective way to move freight between sites in the Western U.S., we will compare the current system to varying alternatives to see if there are potential avenues for Company X to create or implement an improved cost saving freight movement system.
ContributorsPicone, David (Co-author) / Krueger, Brandon (Co-author) / Harrison, Sarah (Co-author) / Way, Noah (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Michael (Committee member) / Barrett, The Honors College (Contributor) / Department of Supply Chain Management (Contributor) / Department of Finance (Contributor) / Economics Program in CLAS (Contributor) / School of Accountancy (Contributor) / W. P. Carey School of Business (Contributor) / Sandra Day O'Connor College of Law (Contributor)
Created2015-05
135574-Thumbnail Image.png
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

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
135818-Thumbnail Image.png
Description
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
135828-Thumbnail Image.png
Description
"Improving Life Outcomes for Children in Arizona: Educational Social Impact Bond" is a creative project that is structured as a pitch to the Arizona Department of Education to consider social impact bonds as a way to fund pilot education programs. The pitch begins with a brief overview of the umbrella

"Improving Life Outcomes for Children in Arizona: Educational Social Impact Bond" is a creative project that is structured as a pitch to the Arizona Department of Education to consider social impact bonds as a way to fund pilot education programs. The pitch begins with a brief overview of the umbrella of impact investing, and then a focus on social impact bonds, an area of impact investing. A profile of Arizona's current educational rankings along with statistics are then presented, highlighting the need for an educational social impact bond to help increase achievement. The pitch then starts to focus particularly on high school drop outs and how by funding early childhood education the chances of a child graduating high school increase. An overview of existing early education social impact bonds that are enacted are then presented, followed by a possible structure for an early education social impact bond in Arizona. An analysis of the possible lifetime cost savings of investing in early childhood education are then presented, that are as a result of decreasing the amount of high school drop outs. Lastly, is a brief side-by-side comparison of the Arizona structure to the precedent social impact bonds.
ContributorsRodriguez, Karina (Author) / Simonson, Mark (Thesis director) / Trujillo, Gary (Committee member) / Department of Finance (Contributor) / School of Accountancy (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
135654-Thumbnail Image.png
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
136968-Thumbnail Image.png
Description
This thesis provides an in-depth comparison of the attractiveness of leveraged buyout (LBO) transactions under low versus high interest rates. In particular, our analysis focuses on how London Interbank Offered Rates (LIBOR) affect internal rates of return for hypothetical LBO transactions, assuming financing structure and operational enhancements for the individual

This thesis provides an in-depth comparison of the attractiveness of leveraged buyout (LBO) transactions under low versus high interest rates. In particular, our analysis focuses on how London Interbank Offered Rates (LIBOR) affect internal rates of return for hypothetical LBO transactions, assuming financing structure and operational enhancements for the individual transactions are held constant. Given that LIBOR rates are currently at historically low levels, we model four hypothetical LBO transactions in the specialty retail space using both historically high and currently low LIBOR rates (for a total of eight model outputs). We quantify the extent to which high rates have the potential to decrease LBO value, while low rates may enhance value. Through this thesis, we have obtained a better understanding of LBO transaction modeling, an understanding that will make us more effective as professionals in investment banking. Finally, this thesis can serve as a step-by-step guide to LBOs for undergraduate finance students, particularly for members of the Investment Banking Industry Scholars (IBIS) program at Arizona State University.
ContributorsGormley, Sean (Co-author) / Hert, James (Co-author) / Coles, Jeffrey (Thesis director) / Bhattacharya, Anand (Committee member) / Barrett, The Honors College (Contributor) / Department of Economics (Contributor) / Department of Finance (Contributor) / School of Accountancy (Contributor)
Created2014-05
137136-Thumbnail Image.png
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
136981-Thumbnail Image.png
Description
This paper takes a look at developing a technological start up revolving around the world of health and fitness. The entire process is documented, starting from the ideation phase, and continuing on to product testing and market research. The research done focuses on identifying a target market for a 24/7

This paper takes a look at developing a technological start up revolving around the world of health and fitness. The entire process is documented, starting from the ideation phase, and continuing on to product testing and market research. The research done focuses on identifying a target market for a 24/7 fitness service that connects clients with personal trainers. It is a good study on the steps needed in creating a business, and serves as a learning tool for how to bring a product to market.
ContributorsHeck, Kyle (Co-author) / Mitchell, Jake (Co-author) / Korczynski, Brian (Co-author) / Peck, Sidnee (Thesis director) / Eaton, John (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor) / Department of Economics (Contributor) / Department of Management (Contributor) / Department of Psychology (Contributor) / Department of Supply Chain Management (Contributor) / School of Accountancy (Contributor) / W. P. Carey School of Business (Contributor)
Created2014-05
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