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The ability to draft and develop productive Major League players is vital to the success of any MLB organization. A core of cost-controlled, productive players is as important as ever with free agent salaries continuing to rise dramatically. In a sport where mere percentage points separate winners from losers at

The ability to draft and develop productive Major League players is vital to the success of any MLB organization. A core of cost-controlled, productive players is as important as ever with free agent salaries continuing to rise dramatically. In a sport where mere percentage points separate winners from losers at the end of a long season, any slight advantage in identifying talent is valuable. This study examines the 2004-2008 MLB Amateur Drafts in order to analyze whether certain types of prospects are more valuable selections than others. If organizations can better identify which draft prospects will more likely contribute at the Major League level in the future, they can more optimally spend their allotted signing bonus pool in order to acquire as much potential production as possible through the draft. Based on the data examined, during these five drafts high school prospects provided higher value than college prospects. While college players reached the Majors at a higher rate, high school players produced greater value in their first six seasons of service time. In the all-important first round of the draft, where signing bonuses are at their largest, college players proved the more valuable selection. When players were separated by position, position players held greater expected value than pitchers, with corner infielders leading the way as the position group with the highest expected value. College players were found to provide better value than high school players at defensively demanding positions such as catcher and middle infield, while high school players were more valuable among outfielders and pitchers.
ContributorsGildea, Adam Joseph (Author) / Eaton, John (Thesis director) / McIntosh, Daniel (Committee member) / Department of Economics (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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Description
The Clean Power Plan seeks to reduce CO2 emissions in the energy industry, which is the largest source of CO2 emissions in the United States. In order to comply with the Clean Power Plan, electric utilities in Arizona will need to meet the electricity demand while reducing the use of

The Clean Power Plan seeks to reduce CO2 emissions in the energy industry, which is the largest source of CO2 emissions in the United States. In order to comply with the Clean Power Plan, electric utilities in Arizona will need to meet the electricity demand while reducing the use of fossil fuel sources in generation. The study first outlines the organization of the power sector in the United States and the structural and price changes attempted in the industry during the period of restructuring. The recent final rule of the Clean Power Plan is then described in detail with a narrowed focus on Arizona. Data from APS, a representative utility of Arizona, is used for the remainder of the analysis to determine the price increase necessary to cut Arizona's CO2 emissions in order to meet the federal goal. The first regression models the variables which affect total demand and thus generation load, from which we estimate the marginal effect of price on demand. The second regression models CO2 emissions as a function of different levels of generation. This allows the effect of generation on emissions to fluctuate with ranges of load, following the logic of the merit order of plants and changing rates of emissions for different sources. Two methods are used to find the necessary percentage increase in price to meet the CPP goals: one based on the mass-based goal for Arizona and the other based on the percentage reduction for Arizona. Then a price increase is calculated for a projection into the future using known changes in energy supply.
ContributorsHerman, Laura Alexandra (Author) / Silverman, Daniel (Thesis director) / Kuminoff, Nicolai (Committee member) / Department of Economics (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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Description
Social impact bonds (SIBs) are a multi-year contract between social service providers, the government, and private investors. The three parties agree on a specific outcome for a societal issue. Investors provide capital required for the service provider to operate the project. The service provider then delivers the service to the

Social impact bonds (SIBs) are a multi-year contract between social service providers, the government, and private investors. The three parties agree on a specific outcome for a societal issue. Investors provide capital required for the service provider to operate the project. The service provider then delivers the service to the target population. The success of the project is evaluated by outside party. If the target outcome is met, the government repays the investors at a premium. Nonprofit service providers can only serve a small community as they lack the funding to scale their programs and their reliance on government funding and philanthropy leads to a lot of time focused on raising money in the short-term and inhibits them from evolving their programs and projects for long-term strategic success. Government budgets decline but social problems persist. These contracts share risk between the government and the investors and allow governments to test out programs and alleviate taxpayer burdens from unsuccessful social service programs. Arizona has a severe homelessness problem. Nightly, 6000 people are homeless in Maricopa County. In a given year, over 32,000 individuals were homeless, composed of single adults, families, children, and veterans. Homelessness is not only a debilitating and difficult experience for those who experience it, but also has considerable economic costs on society. Homeless individuals use a number of government programs beyond emergency shelters, and these can cost taxpayers billions of dollars per year. Rapid rehousing was a successful intervention model that the state has been heavily investing in the last few years. This thesis aimed to survey the Arizona climate and determine what barriers were present for enacting an SIB for homelessness. The findings showed that although there are many competent stakeholder groups, lack of interest and overall knowledge of SIBs prevented groups from taking responsibility as the anchor for such a project. Additionally, the government and nonprofits had good partnerships, but lacked relationships with the business community and investors that could propel an SIB. Finally, although rapid rehousing can be used as a successful intervention model, there are not enough years of proven success to justify the spending on an SIB. Additionally, data collection for homelessness programming needs to be standardized between all relevant partners. The framework for an SIB exists in Arizona, but needs a few more years of development before it can be considered.
ContributorsAhmed, Fabeeha (Author) / Desouza, Kevin (Thesis director) / Lucio, Joanna (Committee member) / School of Politics and Global Studies (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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Description
Arizona and Florida are unique venues are they are the only two locations in the world to host the preseason leagues known as Spring Training for all thirty Major League Baseball teams. With fan bases willing to travel and spend disposable income to follow their favorite teams and/or escape the

Arizona and Florida are unique venues are they are the only two locations in the world to host the preseason leagues known as Spring Training for all thirty Major League Baseball teams. With fan bases willing to travel and spend disposable income to follow their favorite teams and/or escape the cold spells of their home state, the sports and tourism industries in Arizona and Florida have been able to captivate a status as top spring destinations. This study takes a focus on the economic impact that Spring Training in March has on the state of Arizona; specifically the Phoenix Metropolitan area. Consumer research is presented and a SWOT analysis is generated to further assess the condition of the Cactus League and Arizona as a host state. An economic impact study driven by the Strengths, Weaknesses, Opportunities & Threats (SWOT) analysis method is the primary focuses of research due to the sum and quality of usable data that can be organized using the SWOT structure. The scope of this research aims to support the argument that Spring Training impacts the host city in which it resides in. In conjunction with the SWOT analysis, third parties will be able to get a sense of the overall effectiveness and impact of Cactus League Spring Training in the Valley of the Sun. Integration of findings from a Tampa Bay sight visit will also be assessed to determine the health of the competition. This study will take an interdisciplinary approach as it views the topics at hand from the lenses of the consumer, baseball professional, and investor.
ContributorsOlden, Kyle (Co-author) / Farmer, James (Co-author) / Eaton, John (Thesis director) / Mokwa, Michael (Committee member) / T. Denny Sanford School of Social and Family Dynamics (Contributor) / College of Public Service and Community Solutions (Contributor) / Department of Information Systems (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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Description
In the aftermath of the 2008 financial crisis, banking regulators have been taking a more active role in pursing greater financial stability. One area of focus has been on Wall Street banks' leverage lending practices which include leveraged lending activities to fund leveraged buyouts. In March 2013, the Federal Reserve

In the aftermath of the 2008 financial crisis, banking regulators have been taking a more active role in pursing greater financial stability. One area of focus has been on Wall Street banks' leverage lending practices which include leveraged lending activities to fund leveraged buyouts. In March 2013, the Federal Reserve and the Office of the Comptroller of the Currency issued guidance urging banks to avoid financing leveraged buyouts in most industries that would put total debt on a company of more than six times its earnings before interest, taxes, depreciation and amortization, or Ebitda. Our research, using data on all leveraged buyouts (with EBITDA >$20 million) issued after the guidance, sets out to explain the elements banks consider when exceeding leverage limitations. Initially, we hypothesized that since deals over 6x leverage had higher amounts of debt, they were riskier deals, which would carry over to other risk measures such as yield to maturity on debt and company credit ratings. To analyze this, we obtained a large data set with all LBO deals in the past three years and ran difference-in-means tests on a number of variables such as deal size, credit rating and yield to maturity to determine if deals over 6x leverage had significantly different risk characteristics than deals under 6x leverage. Contrary to our hypothesis, we found that deals over 6x leverage had significantly less risk, mainly demonstrated by lower average YTMs, than deals under 6x. One possible explanation of this might be that banks, wanting to ensure they are not fined, will only go through with a deal over 6x leverage if other risk metrics such as yield to maturity are well below average.
ContributorsKing, Adam (Co-author) / Lukemire, Sean (Co-author) / McAleer, Stephen (Co-author) / Simonson, Mark (Thesis director) / Bonadurer, Werner (Committee member) / Department of Finance (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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Description
For our collaborative thesis we explored the US electric utility market and how the Internet of Things technology movement could capture a possible advancement of the current existing grid. Our objective of this project was to successfully understand the market trends in the utility space and identify where a semiconductor

For our collaborative thesis we explored the US electric utility market and how the Internet of Things technology movement could capture a possible advancement of the current existing grid. Our objective of this project was to successfully understand the market trends in the utility space and identify where a semiconductor manufacturing company, with a focus on IoT technology, could penetrate the market using their products. The methodology used for our research was to conduct industry interviews to formulate common trends in the utility and industrial hardware manufacturer industries. From there, we composed various strategies that The Company should explore. These strategies were backed up using qualitative reasoning and forecasted discounted cash flow and net present value analysis. We confirmed that The Company should use specific silicon microprocessors and microcontrollers that pertained to each of the four devices analytics demand. Along with a silicon strategy, our group believes that there is a strong argument for a data analytics software package by forming strategic partnerships in this space.
ContributorsLlazani, Loris (Co-author) / Ruland, Matthew (Co-author) / Medl, Jordan (Co-author) / Crowe, David (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Mike (Committee member) / Department of Economics (Contributor) / Department of Finance (Contributor) / Department of Supply Chain Management (Contributor) / Department of Information Systems (Contributor) / Hugh Downs School of Human Communication (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
Description
Business students are trained to be professional problem solver. In order to improve students' ability to solve real-life problem, more and more business schools are encouraging students to attend case competitions and do internships before graduation. In curriculum, students are required to work on business cases and projects in team.

Business students are trained to be professional problem solver. In order to improve students' ability to solve real-life problem, more and more business schools are encouraging students to attend case competitions and do internships before graduation. In curriculum, students are required to work on business cases and projects in team. However, due to the limited exposure to real-life business scenarios, most undergraduate students feel unprepared when faced with business problems in course projects, case competitions, and internships. Therefore, the goal of this Honors Creative Project is to provide students with an interactive resource to succeed in course projects, case competitions, and even internship projects. By introducing resources that focused on analysis approach and project management, students can learn from some successful experience and become more competitive in job market. After competing at four case competitions with talents all over the nation, we accumulated precious experience in case analysis and teamwork development within a high-pressure environment. In addition, the experiences with internships, consulting and course projects have also aided the participants' development in professionalism and quantitative analytics. Reflecting on what we have learned from our experiences, we strongly believe that the insights gained from the past are not only a treasure for us individually, but also a great resource for our colleagues. We hope to transfer our knowledge to others for their own success where "best practices" can be learned.
ContributorsXiahou, Xiaonan (Co-author) / Thoi, Kenson (Co-author) / Printezis, Antonios (Thesis director) / Arrfelt, Mathias (Committee member) / Department of Supply Chain Management (Contributor) / Department of Economics (Contributor) / Department of Finance (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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Description
This project investigates how experiences colleges create for admitted students impact students' excitement for, satisfaction with, and likelihood to attend the college, analyzed by different subgroups, and how non-yielded students compare their college selection to W. P. Carey on various metrics. This study found that top admit students were less

This project investigates how experiences colleges create for admitted students impact students' excitement for, satisfaction with, and likelihood to attend the college, analyzed by different subgroups, and how non-yielded students compare their college selection to W. P. Carey on various metrics. This study found that top admit students were less likely to attend, less satisfied, and less excited with the services offered than their counterparts and recommendations were made to improve the gap.
ContributorsGullo, Kelley (Co-author) / Dwosh, Bennett (Co-author) / Ostrom, Amy (Thesis director) / Olsen, Douglas (Committee member) / Desch, Timothy (Committee member) / Barrett, The Honors College (Contributor) / Department of Economics (Contributor) / Department of Marketing (Contributor) / School of Human Evolution and Social Change (Contributor) / Department of Management (Contributor) / W. P. Carey School of Business (Contributor)
Created2015-05
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Description
This project looks at the effects of American sanctions on the Sudanese economy. The purpose of the research is to evaluate the effects of the sanctions on the GDP (based on Purchasing Power Parity) of Sudan using linear regression analysis. We used a linear model to conduct analysis that included

This project looks at the effects of American sanctions on the Sudanese economy. The purpose of the research is to evaluate the effects of the sanctions on the GDP (based on Purchasing Power Parity) of Sudan using linear regression analysis. We used a linear model to conduct analysis that included variables such as Sudan's trading partners, distance between Sudan and said partners, the GDP of these other countries, and whether there are sanctions imposed. The data collected runs from 1980 to 2011 \u2014 the year South Sudan became independent. The results of the analysis indicate that sanctions are ineffective in achieving their purpose which is ending the human rights violations in Sudan. The findings are consistent with arguments put forth by economics for decades.
ContributorsAli, Safa (Author) / Mendez, Jose (Thesis director) / Ali, Souad T. (Committee member) / Barrett, The Honors College (Contributor) / School of Criminology and Criminal Justice (Contributor) / Department of Economics (Contributor)
Created2014-12