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The Business Venture Approach to Alleviating Poverty: What is the Bottom of the Pyramid Solution and Can It Work?

Description
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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A Simulation Model of the Effect of Workplace Structure on Productivity

Description
Workplace productivity is a result of many factors, and among them is the setup of the office and its resultant noise level. The conversations and interruptions that come along with converting an office to an open plan can foster innovation and creativity, or they can be distracting and harm the…

Workplace productivity is a result of many factors, and among them is the setup of the office and its resultant noise level. The conversations and interruptions that come along with converting an office to an open plan can foster innovation and creativity, or they can be distracting and harm the performance of employees. Through simulation, the impact of different types of office noise was studied along with other changing conditions such as number of people in the office. When productivity per person, defined in terms of mood and focus, was measured, it was found that the effect of noise was positive in some scenarios and negative in others. In simulations where employees were performing very similar tasks, noise (and its correlates, such as number of employees), was beneficial. On the other hand, when employees were engaged in a variety of different types of tasks, noise had a negative overall effect. This indicates that workplaces that group their employees by common job functions may be more productive than workplaces where the problems and products that employees are working on are varied throughout the workspace.
ContributorsHall, Mikaela Starrantino (Author) / Pavlic, Theodore P. (Thesis director) / Cooke, Nancy (Committee member) / Industrial, Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05

Optimization of Incoming Inspection

Description

The first step in process improvement is to scope the problem, next is measure the current process, but if data is not readily available and cannot be manually collected, then a measurement system must be implemented. General Dynamics Mission Systems (GDMS) is a lean company that is always seeking to…

The first step in process improvement is to scope the problem, next is measure the current process, but if data is not readily available and cannot be manually collected, then a measurement system must be implemented. General Dynamics Mission Systems (GDMS) is a lean company that is always seeking to improve. One of their current bottlenecks is the incoming inspection department. This department is responsible for finding defects on parts purchased and is critical to the high reliability product produced by GDMS. To stay competitive and hold their market share, a decision was made to optimize incoming inspection. This proved difficult because no data is being collected. Early steps in many process improvement methodologies, such as Define, Measure, Analyze, Improve and Control (DMAIC), include data collection; however, no measurement system was in place, resulting in no available data for improvement. The solution to this problem was to design and implement a Management Information System (MIS) that will track a variety of data. This will provide the company with data that will be used for analysis and improvement. The first stage of the MIS was developed in Microsoft Excel with Visual Basic for Applications because of the low cost and overall effectiveness of the software. Excel allows update to be made quickly, and allows GDMS to collect data immediately. Stage two would be moving the MIS to a more practicable software, such as Access or MySQL. This thesis is only focuses on stage one of the MIS, and GDMS will proceed with stage two.
ContributorsDiaz, Angel (Author) / McCarville, Daniel R. (Thesis director) / Pavlic, Theodore (Committee member) / Industrial, Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
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Data and Predictive Analytics for Energy Use

Description
The overall energy consumption around the United States has not been reduced even with the advancement of technology over the past decades. Deficiencies exist between design and actual energy performances. Energy Infrastructure Systems (EIS) are impacted when the amount of energy production cannot be accurately and efficiently forecasted. Inaccurate engineering…

The overall energy consumption around the United States has not been reduced even with the advancement of technology over the past decades. Deficiencies exist between design and actual energy performances. Energy Infrastructure Systems (EIS) are impacted when the amount of energy production cannot be accurately and efficiently forecasted. Inaccurate engineering assumptions can result when there is a lack of understanding on how energy systems can operate in real-world applications. Energy systems are complex, which results in unknown system behaviors, due to an unknown structural system model. Currently, there exists a lack of data mining techniques in reverse engineering, which are needed to develop efficient structural system models. In this project, a new type of reverse engineering algorithm has been applied to a year's worth of energy data collected from an ASU research building called MacroTechnology Works, to identify the structural system model. Developing and understanding structural system models is the first step in creating accurate predictive analytics for energy production. The associative network of the building's data will be highlighted to accurately depict the structural model. This structural model will enhance energy infrastructure systems' energy efficiency, reduce energy waste, and narrow the gaps between energy infrastructure design, planning, operation and management (DPOM).
ContributorsCamarena, Raquel Jimenez (Author) / Chong, Oswald (Thesis director) / Ye, Nong (Committee member) / Industrial, Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12