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Billions of people around the world deal with the struggles of poverty every day. Consequently, a number of others have committed themselves to help alleviate poverty. Many various methods are used, and a current consensus on the best method to alleviate poverty is lacking. Generally the methods used or researched

Billions of people around the world deal with the struggles of poverty every day. Consequently, a number of others have committed themselves to help alleviate poverty. Many various methods are used, and a current consensus on the best method to alleviate poverty is lacking. Generally the methods used or researched exist somewhere on the spectrum between top-down and bottom-up approaches to fighting poverty. This paper analyzes a specific method proposed by C.K. Prahalad known as the Bottom of the Pyramid solution. The premise of the method is that large multinational corporations should utilize the large conglomerate of money that exists amongst poor people \u2014 created due to the sheer number of poor people \u2014 for business ventures. Concurrently, the poor people can benefit from the company's entrance. This method has received acclaim theoretically, but still needs empirical evidence to prove its practicality. This paper compares this approach with other approaches, considers international development data trends, and analyzes case studies of actual attempts that provide insight into the approach's potential for success. The market of poor people at the bottom of the pyramid is extremely segmented which makes it very difficult for large companies to financially prosper. It is even harder to establish mutual benefit between the large corporation and the poor. It has been found that although aspects of the bottom of the pyramid method hold merit, higher potential for alleviating poverty exists when small companies venture into this space rather than large multinational corporations. Small companies can conform to a single community and niche economy to prosper \u2014 a flexibility that large companies lack. Moving forward, analyzing the actual attempts provides the best and only empirical insights; hence, it will be important to consider more approaches into developing economies as they materialize.
ContributorsSanchez, Derek Javier (Author) / Henderson, Mark (Thesis director) / Shunk, Dan (Committee member) / Industrial, Systems (Contributor) / Economics Program in CLAS (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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Description
The current Enterprise Requirements and Acquisition Model (ERAM), a discrete event simulation of the major tasks and decisions within the DoD acquisition system, identifies several what-if intervention strategies to improve program completion time. However, processes that contribute to the program acquisition completion time were not explicitly identified in the simulation

The current Enterprise Requirements and Acquisition Model (ERAM), a discrete event simulation of the major tasks and decisions within the DoD acquisition system, identifies several what-if intervention strategies to improve program completion time. However, processes that contribute to the program acquisition completion time were not explicitly identified in the simulation study. This research seeks to determine the acquisition processes that contribute significantly to total simulated program time in the acquisition system for all programs reaching Milestone C. Specifically, this research examines the effect of increased scope management, technology maturity, and decreased variation and mean process times in post-Design Readiness Review contractor activities by performing additional simulation analyses. Potential policies are formulated from the results to further improve program acquisition completion time.
ContributorsWorger, Danielle Marie (Author) / Wu, Teresa (Thesis director) / Shunk, Dan (Committee member) / Wirthlin, J. Robert (Committee member) / Industrial, Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2013-05
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Description
A global trend towards cashlessness following the increase in technological advances in financial transactions lends way to a discussion of its various impacts on society. As part of this discussion, it is important to consider how this trend influences crime rates. The purpose of this project is to specifically investigate

A global trend towards cashlessness following the increase in technological advances in financial transactions lends way to a discussion of its various impacts on society. As part of this discussion, it is important to consider how this trend influences crime rates. The purpose of this project is to specifically investigate the relationship between a cashless society and the robbery rate. Using data collected from the World Bank’s Global Financial Inclusions Index and the United Nations Office of Drugs and Crime, we implemented a multilinear regression to observe this relationship across countries (n = 29). We aimed to do this by regressing the robbery rate on cashlessness and controlling for other related variables, such as gross domestic product and corruption. We found that as a country becomes more cashless, the robbery rate decreases (β = -677.8379, p = 0.071), thus providing an incentive for countries to join this global trend. We also conducted tests for heteroscedasticity and multicollinearity. Overall, our results indicate that a reduction in the amount of cash circulating within a country negatively impacts robbery rates.
ContributorsChoksi, Aashini S (Co-author) / Elliott, Keeley (Co-author) / Goegan, Brian (Thesis director) / McDaniel, Cara (Committee member) / School of International Letters and Cultures (Contributor) / Department of Economics (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
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Description
The widespread use of statistical analysis in sports-particularly Baseball- has made it increasingly necessary for small and mid-market teams to find ways to maintain their analytical advantages over large market clubs. In baseball, an opportunity for exists for teams with limited financial resources to sign players under team control to

The widespread use of statistical analysis in sports-particularly Baseball- has made it increasingly necessary for small and mid-market teams to find ways to maintain their analytical advantages over large market clubs. In baseball, an opportunity for exists for teams with limited financial resources to sign players under team control to long-term contracts before other teams can bid for their services in free agency. If small and mid-market clubs can successfully identify talented players early, clubs can save money, achieve cost certainty and remain competitive for longer periods of time. These deals are also advantageous to players since they receive job security and greater financial dividends earlier in their career. The objective of this paper is to develop a regression-based predictive model that teams can use to forecast the performance of young baseball players with limited Major League experience. There were several tasks conducted to achieve this goal: (1) Data was obtained from Major League Baseball and Lahman's Baseball Database and sorted using Excel macros for easier analysis. (2) Players were separated into three positional groups depending on similar fielding requirements and offensive profiles: Group I was comprised of first and third basemen, Group II contains second basemen, shortstops, and center fielders and Group III contains left and right fielders. (3) Based on the context of baseball and the nature of offensive performance metrics, only players who achieve greater than 200 plate appearances within the first two years of their major league debut are included in this analysis. (4) The statistical software package JMP was used to create regression models of each group and analyze the residuals for any irregularities or normality violations. Once the models were developed, slight adjustments were made to improve the accuracy of the forecasts and identify opportunities for future work. It was discovered that Group I and Group III were the easiest player groupings to forecast while Group II required several attempts to improve the model.
ContributorsJack, Nathan Scott (Author) / Shunk, Dan (Thesis director) / Montgomery, Douglas (Committee member) / Borror, Connie (Committee member) / Industrial, Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2013-05
Description
In 2010, for the first time in human history, more than half of the world's total population lived in cities; this number is expected to increase to 60% or more by 2050. The goal of this research effort is to create a comprehensive model and modelling framework for megacities, middleweight

In 2010, for the first time in human history, more than half of the world's total population lived in cities; this number is expected to increase to 60% or more by 2050. The goal of this research effort is to create a comprehensive model and modelling framework for megacities, middleweight cities, and urban agglomerations, collectively referred to as dense urban areas. The motivation for this project comes from the United States Army's desire for readiness in all operating environments including dense urban areas. Though there is valuable insight in research to support Army operational behaviors, megacities are of unique interest to nearly every societal sector imaginable. A novel application for determining both main effects and interactive effects between factors within a dense urban area is a Design of Experiments- providing insight on factor causations. Regression Modelling can also be employed for analysis of dense urban areas, providing wide ranging insights into correlations between factors and their interactions. Past studies involving megacities concern themselves with general trend of cities and their operation. This study is unique in its efforts to model a singular megacity to enable decision support for military operational planning, as well as potential decision support to city planners to increase the sustainability of these dense urban areas and megacities.
ContributorsMathesen, Logan Michael (Author) / Zenzen, Frances (Thesis director) / Jennings, Cheryl (Committee member) / Industrial, Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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Description

The surge of United States high-tech firms offshoring operations to China was driven by economic incentives of the early 1990s, low costs of labor, and ample access to an abundance of resources required in high-tech manufacturing. The dawn of the 21st century served as the advent of technological advancement and

The surge of United States high-tech firms offshoring operations to China was driven by economic incentives of the early 1990s, low costs of labor, and ample access to an abundance of resources required in high-tech manufacturing. The dawn of the 21st century served as the advent of technological advancement and innovation in congruence with China’s rapid ascension as a prime high-tech manufacturing hub. However, increased allegations of foreign intellectual property (IP) infringement in outsourced research and development (R&D) and manufacturing on behalf of China’s state-owned enterprises (SOE) have evoked concern amongst international speculators, who allege China of weakened intellectual property enforcement and collusive tactics with state-owned enterprises in the cultivation of an anti-competitive marketplace. This thesis applies a trilateral approach to determine the optimal legal, supply chain management, and business strategies to safeguard the intellectual property of high-tech firms with outsourced operations in China.<br/><br/>Firstly, this thesis explores China’s rapid acceleration of manufacturing capabilities in tandem with nationalist initiatives, historical background, and subsequent influence cultural notions; aspirations in attaining global dominance as a high-tech innovator via nationalist programs and incentives. Succeeding is a comparative analysis of intellectual property between the United States and China, associations between intellectual property protection and economic development, and global intellectual property agreeance as set forth by the World Trade Organization (WTO). Following is a legal analysis of China, which assesses legislation, judicial structure, and litigation. Lastly, is an assessment of supply chain management in China, which assesses high-tech outsourcing practices, the vulnerability of intellectual property in research and development, instances of patent infringement, unfair licensing practices, and trade secret misappropriation.

ContributorsPlunkett, Nina (Author) / Collins, Gregory (Thesis director) / Oke, Adegoke (Committee member) / Dean, W.P. Carey School of Business (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description
The Solar Mamas Program, created by the Indian-based non-profit Barefoot College, brings illiterate and semi-literate older women from rural communities around the world to India for a six-month training on solar engineering and entrepreneurship. The Barefoot enterprise is unique in that it contrasts the typical flow of humanitarian aid and

The Solar Mamas Program, created by the Indian-based non-profit Barefoot College, brings illiterate and semi-literate older women from rural communities around the world to India for a six-month training on solar engineering and entrepreneurship. The Barefoot enterprise is unique in that it contrasts the typical flow of humanitarian aid and implements a South-South development dynamic. Belize is one country that Barefoot selects potential Solar Mamas from with help from its ground partner, Plenty Belize. This ethnographic study aims to identify and assess the direct and indirect impacts the solar project has created in traditional Mayan life in the Toledo District. Interviews were conducted in Santa Elena and Jalacte, which are two villages with and without solar electrification, respectively. The study observed positive impacts on various aspects of health, education, and economics, as well as gender relations. Although relatively successful in its mission, constructive feedback was provided to all actors in the solar project with the aim of enhancing the Solar Mamas’ experience and effectiveness as a “new class of leaders” in their communities, as well as to ensure the continued success that solar electrification has had in the Mayan communities.
ContributorsLaufer, Grant (Co-author) / Gonzalez, Olivia (Co-author) / Bascon, Glenn Ivan (Co-author) / Carrese, Susan (Thesis director) / Ellsworth, Kevin (Committee member) / Paris, Rodrigo (Committee member) / Department of Economics (Contributor) / Dean, W.P. Carey School of Business (Contributor) / School of Civic & Economic Thought and Leadership (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
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Description
This paper looks at factors that drive economic growth and show the correlation between economic growth and economic development and how important economic growth is for a developing country because when there is economic growth then the country has potential to develop. This paper continues to explain why there

This paper looks at factors that drive economic growth and show the correlation between economic growth and economic development and how important economic growth is for a developing country because when there is economic growth then the country has potential to develop. This paper continues to explain why there is economic growth in some countries and not in others with specifically focusing on the effects of having a blessed resource endowment. Having an abundance of resources should be a comparative advantage, however as seen in Latin America, South East Asia, and sub-Saharan Africa that this surprisingly does not lead to high levels of economic growth. This phenomenon is referred to as the Resource Curse and can be fully explained through assumptions derived from the macroeconomic Heckscher-Ohlin model as well as recent trends in emerging economies. Leading to the conclusion that developing countries abundant in resources are very susceptible to the Resource Curse through the increase inequality that ultimately stunts development. Literature suggests that one of the only solutions to overcoming the Resource Curse is the strengthening the effectiveness of the policies in place, which is a subsequent effect of having quality institutions.

Focusing on how to improve institutions there needs to be consideration of the fact that institutions have rent seeking behaviors because both local governments and foreign investors want to acquire a greater share of the production and the benefits. In attempt to find some solution of how countries can overcome the Resource Curse without having to totally reconstruct the political system the goal should be to be to focus on actions from the private sector. The private sector tends to magnify rent seeking behavior and to solidify any solution I performed interviews from industry leaders who have been working in economic development for the past decades. The purpose was to understand what companies are doing now to ensure sustainable development and how that has changed over the past decades.

In the end, the private industry is focusing on regulations that standardize polices for companies pursuing foreign direct investment requiring them to also focus on local economic growth and development. This requires foreign investors to understand the local culture, environment, and institutions leading to overall better choices for long term profitably, thus fulfilling their rent seeking tendencies. One of the biggest proven solutions is the Social License to Operate which is essentially an agreement created by the private investor that requires the local community to be informed and holds the investor accountable. In the end, if the private sector can positively impact a community whilst maintaining their own agenda then a country can overcome the Resource Curse.
ContributorsCortez, Sarah A (Author) / Mueller, Valerie (Thesis director) / Sheriff, Glenn (Committee member) / Department of Economics (Contributor) / Dean, W.P. Carey School of Business (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
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Description
This paper aims to get a snapshot of charter school and public school performance in the state of California, specifically looking at high schools. Based off of data gathered on specific variables of interest and carefully constructed regression models, we are testing whether charter schools perform differently from public schools.

This paper aims to get a snapshot of charter school and public school performance in the state of California, specifically looking at high schools. Based off of data gathered on specific variables of interest and carefully constructed regression models, we are testing whether charter schools perform differently from public schools. This paper attempts to analyze results from standard OLS regression models and random effects GLS models, both with and without
interaction effects between charter schools and ethnicity and geographic area. While discussing results, this paper will also acknowledge limitations while drawing the line between correlation and causality. Our variable of interest throughout the paper is charter school, controlling for other factors that might impact API scores such as geographic area, demographics, and school
characteristics.
ContributorsValdez, Logan Taylor (Author) / Goegan, Brian (Thesis director) / Murphy, Alvin (Committee member) / Department of Information Systems (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05