Matching Items (41)
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- All Subjects: Finance
- Creators: Department of Marketing
- Creators: Hoffman, David
- Creators: WPC Graduate Programs
- Member of: Barrett, The Honors College Thesis/Creative Project Collection
- Member of: Theses and Dissertations
- Status: Published
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
For this thesis, the authors would like to create a hypothetical Private Equity Real Estate Investment firm that focuses on creating value for partners by taking an opportunistic approach to acquiring under-performing urban multi-family properties with large upside potential for investing. The project will focus on both the market analysis and financial modeling associated with investment strategy and transactions. There is a substantial amount of complexity within commercial real estate and this thesis seeks to offer an accurate and comprehensive documentary of the process, while simplifying it for everyday readers. Additionally, there are a significant amount of risk factors associated with investment decisions, so the best practices from the industry documented in this manuscript are valuable tools for successful investing in the future. To gain the most profound and reliable industry knowledge, the authors leveraged the experience of dozens of industry professionals through research and personal interviews. Through careful analysis, the authors were able to ascertain the current economic position in the real estate cycle and to create a plan for future investing. Additionally, they were able to identify and evaluate a specific asset for purchase. As a result, the authors found that multifamily properties are a sound investment for the next two years and that the company should slowly start to shift directions to office and retail in 2018.
ContributorsBacon, David (Co-author) / Soto, Justin (Co-author) / Kashiwagi, Dean (Thesis director) / Kashiwagi, Jacob (Committee member) / Department of Finance (Contributor) / Department of Supply Chain Management (Contributor) / Department of Marketing (Contributor) / W. P. Carey School of Business (Contributor) / School of Accountancy (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
By the year 2021, the gift card market is expected to grow to more than 200 billion dollars. Gift cards are extremely popular among consumers and retailers. They are the most requested gift of the holiday season. They are popular for retailers because gift card sales mean more first time customers, more returning customers, and more money spent in their stores. The growth of gift cards has been very rapid since their introduction by Blockbuster Entertainment in 1994. As the gift card market has increased, so too has gift card breakage. According to FASB ASC 405-20-40-3 gift card breakage is, "the portion of the dollar value of prepaid stored-value products that ultimately is not redeemed by product holders for cash or not used to purchase goods and/or services". The average consumer may contribute to gift card breakage by not using the full dollar amount of their gift card, or by losing the gift card and therefore not redeeming it. For 2011, breakage was expected to be around two billion dollars, roughly two percent of all gift cards purchased. Gift card breakage is free money for the retail companies. They are able to recognize the breakage as revenue without having to give up merchandise or services. Recently, abandoned property laws have minimized the profits on gift card breakage for large retailers. In states where abandoned property laws include gift cards, retailers have been forced to turn over the cash from their unused gift cards. These laws are going to have an effect on many large retailers as some recognize tens of millions of dollar in gift card breakage income but will no longer be able to do so.
ContributorsClasen, Jeffrey Steven (Author) / Call, Andrew (Thesis director) / Huston, Janet (Committee member) / School of Accountancy (Contributor) / WPC Graduate Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Company X is one of the world's largest manufacturer of semiconductors. The company relies on various suppliers in the U.S. and around the globe for its manufacturing process. The financial health of these suppliers is vital to the continuation of Company X's business without any material interruption. Therefore, it is in Company X's interest to monitor its supplier's financial performance. Company X has a supplier financial health model currently in use. Having been developed prior to watershed events like the Great Recession, the current model may not reflect the significant changes in the economic environment due to these events. Company X wants to know if there is a more accurate model for evaluating supplier health that better indicates business risk. The scope of this project will be limited to a sample of 24 suppliers representative of Company X's supplier base that are public companies. While Company X's suppliers consist of both private and public companies, the used of exclusively public companies ensures that we will have sufficient and appropriate data for the necessary analysis. The goal of this project is to discover if there is a more accurate model for evaluating the financial health of publicly traded suppliers that better indicates business risk. Analyzing this problem will require a comprehensive understanding of various financial health models available and their components. The team will study best practice and academia. This comprehension will allow us to customize a model by incorporating metrics that allows greater accuracy in evaluating supplier financial health in accordance with Company X's values.
ContributorsLi, Tong (Co-author) / Gonzalez, Alexandra (Co-author) / Park, Zoon Beom (Co-author) / Vogelsang, Meridith (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Mike (Committee member) / Department of Finance (Contributor) / Department of Information Systems (Contributor) / School of Accountancy (Contributor) / WPC Graduate Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
As the IoT (Internet of Things) market continues to grow, Company X needs to find a way to penetrate the market and establish larger market share. The problem with Company X's current strategy and cost structure lies in the fact that the fastest growing portion of the IoT market is microcontrollers (MCUs). As Company X currently holds its focus in manufacturing microprocessors (MPUs), the current manufacturing strategy is not optimal for entering competitively into the MCU space. Within the MCU space, the companies that are competing the best do not utilize such high level manufacturing processes because these low cost products do not demand them. Given that the MCU market is largely untested by Company X and its products would need to be manufactured at increasingly lower costs, it runs the risk of over producing and holding obsolete inventory that is either scrapped or sold at or below cost. In order to eliminate that risk, we will explore alternative manufacturing strategies for Company X's MCU products specifically, which will allow for a more optimal cost structure and ultimately a more profitable Internet of Things Group (IoTG). The IoT MCU ecosystem does not require the high powered technology Company X is currently manufacturing and therefore, Company X loses large margins due to its unnecessary leading technology. Since cash is king, pursuing a fully external model for MCU design and manufacturing processes will generate the highest NPV for Company X. It also will increase Company X's market share, which is extremely important given that every tech company in the world is trying to get its hands into the IoT market. It is possible that in ten to thirty years down the road, Company X can manufacture enough units to keep its products in-house, but this is not feasible in the foreseeable future. For now, Company X should focus on the cost market of MCUs by driving its prices down while maintaining low costs due to the variables of COGS and R&D given in our fully external strategy.
ContributorsKadi, Bengimen (Co-author) / Peterson, Tyler (Co-author) / Langmack, Haley (Co-author) / Quintana, Vince (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Michael (Committee member) / Department of Supply Chain Management (Contributor) / Department of Finance (Contributor) / Department of Information Systems (Contributor) / Department of Marketing (Contributor) / School of Accountancy (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
DescriptionA group project working to implemented programs in the Town of Gilbert that build an entrepreneurial ecosystem within the town.
ContributorsCarneal, Tracy (Co-author) / Browning, Kelcey (Co-author) / Camoriano, James (Co-author) / Badulescu, Chris (Co-author) / Lindsey, Laura (Thesis director) / Riddel, Dana (Committee member) / Barrett, The Honors College (Contributor) / School of Accountancy (Contributor) / WPC Graduate Programs (Contributor)
Created2014-05
Description
Dr. Dean Kashiwagi created a new thinking paradigm, Information Measurement Theory (IMT), which utilizes the understanding of natural laws to help individuals minimize decision-making and risk, which leads to reduced stress. In this new paradigm, any given situation can only have one unique outcome. The more information an individual has for the given situation, the better they can predict the outcome. Using IMT can help correctly "predict the future" of any situation if given enough of the correct information. A prime example of using IMT would be: to correctly predict what a young woman will be like when she's older, simply look at the young woman's mother. In essence, if you can't fall in love with the mother, don't marry the young woman. The researchers are utilizing the concept of IMT and extrapolating it to the financial investing world. They researched different financial investing strategies and were able to come to the conclusion that a strategy utilizing IMT would yield the highest results for investors while minimizing stress. Investors using deductive logic to invest received, on average, 1300% more returns than investors who did not over a 25-year period. Where other investors made many decisions and were constantly stressed with the tribulations of the market, the investors utilizing IMT made one decision and made much more than other investors. The research confirms the stock market will continue to increase over time by looking at the history of the stock market from a birds-eye view. Throughout the existence of the stock market, there have been highs and lows, but at the end of the day, the market continues to break through new ceilings. Investing in the stock market can be a dark and scary place for the blind investor. Using the concept of IMT can eliminate that blindfold to reduce stress on investors while earning the highest financial return potential. Using the basis of IMT, the researchers predict the market will continue to increase in the future; in conclusion, the best investment strategy is to invest in blue chip stocks that have a history of past success, in order to capture secure growth with minimal risk and stress.
ContributorsBerns, Ryan (Co-author) / Ybanez, Julian (Co-author) / Kashiwagi, Dean (Thesis director) / Kashiwagi, Jacob (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor) / Department of Marketing (Contributor) / W. P. Carey School of Business (Contributor)
Created2015-05
Description
Over the course of six months, we have worked in partnership with Arizona State University and a leading producer of semiconductor chips in the United States market (referred to as the "Company"), lending our skills in finance, statistics, model building, and external insight. We attempt to design models that help predict how much time it takes to implement a cost-saving project. These projects had previously been considered only on the merit of cost savings, but with an added dimension of time, we hope to forecast time according to a number of variables. With such a forecast, we can then apply it to an expense project prioritization model which relates time and cost savings together, compares many different projects simultaneously, and returns a series of present value calculations over different ranges of time. The goal is twofold: assist with an accurate prediction of a project's time to implementation, and provide a basis to compare different projects based on their present values, ultimately helping to reduce the Company's manufacturing costs and improve gross margins. We believe this approach, and the research found toward this goal, is most valuable for the Company. Two coaches from the Company have provided assistance and clarified our questions when necessary throughout our research. In this paper, we begin by defining the problem, setting an objective, and establishing a checklist to monitor our progress. Next, our attention shifts to the data: making observations, trimming the dataset, framing and scoping the variables to be used for the analysis portion of the paper. Before creating a hypothesis, we perform a preliminary statistical analysis of certain individual variables to enrich our variable selection process. After the hypothesis, we run multiple linear regressions with project duration as the dependent variable. After regression analysis and a test for robustness, we shift our focus to an intuitive model based on rules of thumb. We relate these models to an expense project prioritization tool developed using Microsoft Excel software. Our deliverables to the Company come in the form of (1) a rules of thumb intuitive model and (2) an expense project prioritization tool.
ContributorsAl-Assi, Hashim (Co-author) / Chiang, Robert (Co-author) / Liu, Andrew (Co-author) / Ludwick, David (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Michael (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor) / Department of Finance (Contributor) / Department of Economics (Contributor) / Department of Supply Chain Management (Contributor) / School of Accountancy (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Mechanical and Aerospace Engineering Program (Contributor) / WPC Graduate Programs (Contributor)
Created2015-05
Description
Executive compensation is broken into two parts: one fixed and one variable. The fixed component of executive compensation is the annual salary and the variable components are performance-based incentives. Clawback provisions of executive compensation are designed to require executives to return performance-based, variable compensation that was erroneously awarded in the year of a misstatement. This research shows the need for the use of a new clawback provision that combines aspects of the two currently in regulation. In our current federal regulation, there are two clawback provisions in play: Section 304 of Sarbanes-Oxley and section 954 of The Dodd\u2014Frank Wall Street Reform and Consumer Protection Act. This paper argues for the use of an optimal clawback provision that combines aspects of both the current SOX provision and the Dodd-Frank provision, by integrating the principles of loss aversion and narcissism. These two factors are important to consider when designing a clawback provision, as it is generally accepted that average individuals are loss averse and executives are becoming increasingly narcissistic. Therefore, when attempting to mitigate the risk of a leader keeping erroneously awarded executive compensation, the decision making factors of narcissism and loss aversion must be taken into account. Additionally, this paper predicts how compensation structures will shift post-implementation. Through a survey analyzing the level of both loss- aversion and narcissism in respondents, the research question justifies the principle that people are loss averse and that a subset of the population show narcissistic tendencies. Both loss aversion and narcissism drove the results to suggest there are benefits to both clawback provisions and that a new provision that combines elements of both is most beneficial in mitigating the risk of executives receiving erroneously awarded compensation. I concluded the most optimal clawback provision is mandatory for all public companies (Dodd-Frank), targets all executives (Dodd-Frank), and requires the recuperation of the entire bonus, not just that which was in excess of what should have been received (SOX).
ContributorsLarscheid, Elizabeth (Author) / Samuelson, Melissa (Thesis director) / Casas-Arce, Pablo (Committee member) / WPC Graduate Programs (Contributor) / School of Accountancy (Contributor) / Barrett, The Honors College (Contributor)
Created2018-12
Description
Financial Intelligence Pays Off blog is an easy to use blog for high school juniors and seniors and college students to access in order to receive a quick overview of essential financial topics. There are many sources and college courses for students to take to get a more in-depth understanding of topics such as saving, filing taxes, learning about credit but many times students do not know about these courses. However, it is often that courses are restricted to students who are business majors and online sources sometimes use to technical of terminology for young adults to follow along. The goal of this blog is for it to give students just a quick overview of what taxes are, how to manage and have a good credit score, how to keep a budget and other essential financial tasks. There are five topics covered in the blog as well as resources for students to access if they would like more information on a topic.
ContributorsFavata, Danielle (Co-author) / Perez-Vargas, Sofia (Co-author) / Sadusky, Brian (Thesis director) / Hoffman, David (Committee member) / WPC Graduate Programs (Contributor) / School of Accountancy (Contributor) / Department of Information Systems (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2018-12