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A guide to implementing empathy in crisis communications

ContributorsLong, Mary Louise (Author) / Schmidtke, Lisa (Thesis director) / Bovio, Sonia (Committee member) / Department of Marketing (Contributor) / Walter Cronkite School of Journalism and Mass Comm (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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The current model of revenue generation for some free to play video games is preventing the companies controlling them from growing, but with a few changes in approach these issues could be alleviated. A new style of video games, called a MOBA (Massive Online Battle Arena) has emerged in the

The current model of revenue generation for some free to play video games is preventing the companies controlling them from growing, but with a few changes in approach these issues could be alleviated. A new style of video games, called a MOBA (Massive Online Battle Arena) has emerged in the past few years bringing with it a new style of generating wealth. Contrary to past gaming models, where users must either purchase the game outright, view advertisements, or purchase items to gain a competitive advantage, MOBAs require no payment of any kind. These are free to play computer games that provides users with all the tools necessary to compete with anyone free of charge; no advantages can be purchased in this game. This leaves the only way for users to provide money to the company through optional purchases of purely aesthetic items, only to be purchased if the buyer wishes to see their character in a different set of attire. The genre’s best in show—called League of Legends, or LOL—has spearheaded this method of revenue-generation. Fortunately for LOL, its level of popularity has reached levels never seen in video games: the world championships had more viewers than game 7 of the NBA Finals (Dorsey). The player base alone is enough to keep the company afloat currently, but the fact that they only convert 3.75% of the players into revenue is alarming. Each player brings the company an average of $1.32, or 30% of what some other free to play games earn per user (Comparing MMO). It is this low per player income that has caused Riot Games, the developer of LOL, to state that their e-sports division is not currently profitable. To resolve this issue, LOL must take on a more aggressive marketing plan. Advertisements for the NBA Finals cost $460,000 for 30 seconds, and LOL should aim for ads in this range (Lombardo). With an average of 3 million people logged on at any time, 90% of the players being male and 85% being between the ages of 16 and 30, advertising via this game would appeal to many companies, making a deal easy to strike (LOL infographic 2012). The idea also appeals to players: 81% of players surveyed said that an advertisement on the client that allows for the option to place an order would improve or not impact their experience. Moving forward with this, the gaming client would be updated to contain both an option to order pizza and an advertisement for Mountain Dew. This type of advertising was determined based on community responses through a sequence of survey questions. These small adjustments to the game would allow LOL to generate enough income for Riot Games to expand into other areas of the e-sports industry.
ContributorsSeip, Patrick (Co-author) / Zhao, BoNing (Co-author) / Kashiwagi, Dean (Thesis director) / Kashiwagi, Jacob (Committee member) / Barrett, The Honors College (Contributor) / Sandra Day O'Connor College of Law (Contributor) / Department of Economics (Contributor) / Department of Supply Chain Management (Contributor)
Created2015-05
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This paper explores the history of sovereign debt default in developing economies and attempts to highlight the mistakes and accomplishments toward achieving debt sustainability. In the past century, developing economies have received considerable investment due to higher returns and a degree of disregard for the risks accompanying these investments. As

This paper explores the history of sovereign debt default in developing economies and attempts to highlight the mistakes and accomplishments toward achieving debt sustainability. In the past century, developing economies have received considerable investment due to higher returns and a degree of disregard for the risks accompanying these investments. As the former Citibank chairman, Walter Wriston articulated, "Countries don't go bust" (This Time is Different, 51). Still, unexpected negative externalities have shattered this idea as the majority of developing economies follow a cyclical pattern of default. As coined by Reinhart and Rogoff, sovereign governments that fall into this continuous cycle have become known as serial defaulters. Most developed markets have not defaulted since World War II, thus escaping this persistent trap. Still, there have been developing economies that have been able to transition out of serial defaulting. These economies are able to leverage debt to compound growth without incurring the protracted consequences of a default. Although the cases are few, we argue that developing markets such as Chile, Mexico, Russia, and Uruguay have been able to escape this vicious cycle. Thus, our research indicates that collaborative debt restructurings coupled with long term economic policies are imperative to transitioning out of debt intolerance and into a sustainable debt position. Successful economies are able to leverage debt to create strong foundational growth rather than gambling with debt in the hopes of achieving rapid catch- up growth.
ContributorsPitt, Ryan (Co-author) / Martinez, Nick (Co-author) / Choueiri, Robert (Co-author) / Goegan, Brian (Thesis director) / Silverman, Daniel (Committee member) / Department of Economics (Contributor) / Department of Information Systems (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / School of Politics and Global Studies (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2015-12
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This paper provides evidence through an event study, portfolio simulation, and regression analysis that insider trading, when appropriately aggregated, has predictive power for abnormal risk-adjusted returns on some country and sector exchange traded funds (ETFs). I examine ETFs because of their broad scope and liquidity. ETF markets are relatively efficient

This paper provides evidence through an event study, portfolio simulation, and regression analysis that insider trading, when appropriately aggregated, has predictive power for abnormal risk-adjusted returns on some country and sector exchange traded funds (ETFs). I examine ETFs because of their broad scope and liquidity. ETF markets are relatively efficient and, thus, the effects I document are unlikely to appear in ETF markets. My evidence that aggregated insider trading predicts abnormal returns in some ETFs suggests that aggregated insider trading is likely to have predictive power for financial assets traded in less efficient markets. My analysis depends on specialized insider trading data covering 88 countries is generously provided by 2iQ.
ContributorsKerker, Mackenzie Alan (Author) / Coles, Jeffrey (Thesis director) / Mcauley, Daniel (Committee member) / Licon, Wendell (Committee member) / Barrett, The Honors College (Contributor) / Department of Economics (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Department of Finance (Contributor)
Created2014-05
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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
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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
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Description
Semiconductor Manufacturer (Semi) wants to improve the valuation of the extended warranties they purchase for their metrology tools and determine whether or not extended warranties are worth the financial investment. Historically, suppliers have commonly overvalued warranties. For example, there is a 50%-60% profit margin on warranties in the consumer electronics

Semiconductor Manufacturer (Semi) wants to improve the valuation of the extended warranties they purchase for their metrology tools and determine whether or not extended warranties are worth the financial investment. Historically, suppliers have commonly overvalued warranties. For example, there is a 50%-60% profit margin on warranties in the consumer electronics industry. The costs incurred from purchasing extended warranties contribute to millions of dollars each year in tool ownership for Semi. By creating an extended warranty valuation model, our goal is to reduce the total cost of metrology tool ownership. A different perspective on the valuation of extended warranties will lead to an increased bottom line for Semi. Our valuation model will assist in determining warranty purchase pricing and appropriate service levels of maintenance personnel associated with the extended warranties. The model's objective is to compare the statistical expected total cost of buying tool parts on an "as needed" basis with the quoted price of an extended warranty. It will assess the strict financial value of either buying or not buying the extended warranty. Using actual tool part consumption data, the model can quickly evaluate the value of a supplier's warranty offer. In addition, the results from the model can be used as a negotiation tool with the suppliers. However the model will have its limitations. For example, the model will not be able to evaluate whether a metrology supplier relies on extended warranty revenues to fund research and development or whether a supplier has the financial health to remain in business with the loss of extended warranty related revenues. A shift in extended warranty purchasing by Semi could have a profound impact on the number of competitive suppliers in the future, and Semi's managers should take this into account when altering their extended warranty purchasing strategy. Our model can be utilized for three different functions: negotiating with suppliers, simplifying the decision to buy or not buy an extended warranty and influencing managers' purchasing strategies. Changing the service level costs of labor can impact Semi's decision to buy or not the extended warranty due to its effect on the probability of the warranty being a good or bad deal. In addition, the model output can significantly influence a manager's purchasing strategy within the organization by breaking down the cost savings associated with the metrology tools' part failures. In order to improve the accuracy and effectiveness of the financial model, we recommend that Semi collect and assemble the model input data in a different manner. Although it is possible Semi does collect more detailed data, the input data we received needed to be more comprehensive; it should include a list of tool parts with their respective failure dates, along with which supplier is responsible for which tool. Furthermore, Semi should develop a supplier scorecard to account for financial health, which can be factored into the model. This will result in a more precise evaluation on whether or not an extended warranty is worth the financial investment.
ContributorsGordon, Audrey Elizabeth (Co-author) / Barkley, Erin (Co-author) / Brady, Max Jordan (Co-author) / Lin, Jessica (Co-author) / Shieffield, Ethan (Co-author) / Hertzel, Michael (Thesis director) / Simonson, Mark (Committee member) / Schembri, Christopher (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor) / Department of Marketing (Contributor)
Created2013-05
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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

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
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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 hel

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
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This paper intends to examine topics related to Chinese financial policy and
institutions mainly in the early 21st century. China has gone through enormous changes in the late 20th century and early 21st century, and financial policy reforms and adjustments have been at times instrumental to aiding that growth, and

This paper intends to examine topics related to Chinese financial policy and
institutions mainly in the early 21st century. China has gone through enormous changes in the late 20th century and early 21st century, and financial policy reforms and adjustments have been at times instrumental to aiding that growth, and at other times have served as impediments to the country’s success. As China’s clout has grown both economically and politically in the wider world, it has become evermore important to understand the Chinese financial system, particularly as other authoritarian regimes may seek to emulate it in the perhaps recent future. The paper will examine the institutional elements of Chinese finance, including the broader structure of the party state apparatus and the role of legislative and executive authorities in determining financial policy. Next, the paper will go through both the legal-regulatory environment of the country and the structure of the preeminent Chinese banks. Finally, issues in Chinese monetary policy, particularly exchange rate system reforms, and the developing stock and bond markets will be addressed.
ContributorsFeatherston, Ryan (Author) / Hill, John (Thesis director) / Mendez, Jose (Committee member) / Department of Economics (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05