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Description
There is a disconnect between the way people are taught to find success and happiness, and the results observed. Society teaches us that success will lead to happiness. Instead, it is argued that success is engrained in happiness. Case studies of four, established, successful people: Jack Ma, Elon Musk, Ricardo Semler, and William Gore, have been conducted in order to observe an apparent pattern. This data, coupled with the data from Michael Boehringer's story, is used to formulate a solution to the proposed problem. Each case study is designed to observe characteristics of the individuals that allow them to be successful and exhibit traits of happiness. Happiness will be analyzed in terms of passion and desire to perform consistently. Someone who does what they love, paired with the ability to perform on a regular basis, is considered to be a happy person. The data indicates that there is an observable pattern within the results. From this pattern, certain traits have been highlighted and used to formulate guidelines that will aid someone falling short of success and happiness in their lives. The results indicate that there are simple questions that can guide people to a happier life. Three basic questions are defined: is it something you love, can you see yourself doing this every day and does it add value? If someone can answer yes to all three requirements, the person will be able to find happiness, with success following. These guidelines can be taken and applied to those struggling with unhappiness and failure. By creating such a formula, the youth can be taught a new way of thinking that will help to eliminate these issues, that many people are facing.
ContributorsBoehringer, Michael Alexander (Author) / Kashiwagi, Dean (Thesis director) / Kashiwagi, Jacob (Committee member) / Department of Management (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Department of Finance (Contributor) / Sandra Day O'Connor College of Law (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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
Research has found there is a lack of women present in the IS industry. In order to combat this problem, this research examines why women are not choosing IS majors at the university level. At Arizona State University, the Computer Information Systems undergraduate degree program is only 23 percent female. Many different factors can influence the decision to choose a major, so survey methodology was used to ascertain what factors were the most important to different demographic groups when making this decision. The study found no significant gender difference when making this decision, but rather a difference between specific majors. Genuine interest, interesting work and high career earnings were identified as the most influential reasons for choosing a college major. The results were used to create recommendations for the IS Department at ASU to implement in the next year and encourage more female participation in the CIS undergraduate degree program.
ContributorsJorgenson, Erica Marie (Author) / Santanam, Raghu (Thesis director) / Moser, Kathleen (Committee member) / Department of Information Systems (Contributor) / W. P. Carey School of Business (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Limited researches have studied on the dissonance of the representations of a destination by using difference induced agents such as government, trade media tourism articles, and visual representations. This study examines the United Kingdom's image, and determines whether the dissonance exist pre- and post- referendum in the internal imagery of the United Kingdom and imagery portrayed aboard. Leading newspapers from the United States, United Kingdom, and Europe are analyzed to determine the predominant themes. Semi-structured interviews are conducted with the U.S. tour operators and Arizona's travel agents. Tour brochures and user-generated content on TripAdvisor are analyzed to study tourists' responses to Brexit. Skift is analyzed to project future growth in tourism industry. Results show that the leadings newspapers projects similar concerns negatively and positively pre- and post- referendum. Uncertainty in policy changes leads to other themes that are identified such as investment, employment, trade, independence, market growth, etc. It projects the international trade, domestic market growth and global market growth will be significantly impact by Brexit due to higher tariff and regulations on migrants in the United Kingdom. In contrast, travel brochures are marketing UK from heritage, historical attractions, and special events, but they do not reflect the influence of Brexit on how tour operators market UK pre- and post- referendum. Further data is conducted on the semi-structured interviews with travel agents across Arizona, but travel agents responded with Brexit has no influences on US tourists. Additional content analysis on VisitBritain/VisitEngland shows the growth in tourism industry by an increasing provided data collection on tourism performance that reflect there is an increasing departure rate of US tourists in UK after the referendum. User-generated content on TripAdvisor and Skift align with the identified themes in leading newspapers from US, UK, and Europe such as uncertainty in policy change. The present study further outlines preferable method to advance future studies on the destination image of U.K. during and after the Brexit.
ContributorsLuo, Shiyu (Author) / Chhabra, Deepak (Thesis director) / Timothy, Dallen (Committee member) / W. P. Carey School of Business (Contributor) / WPC Graduate Programs (Contributor) / School of Accountancy (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
As mobile devices have risen to prominence over the last decade, their importance has been increasingly recognized. Workloads for mobile devices are often very different from those on desktop and server computers, and solutions that worked in the past are not always the best fit for the resource- and energy-constrained computing that characterizes mobile devices. While this is most commonly seen in CPU and graphics workloads, this device class difference extends to I/O as well. However, while a few tools exist to help analyze mobile storage solutions, there exists a gap in the available software that prevents quality analysis of certain research initiatives, such as I/O deduplication on mobile devices. This honors thesis will demonstrate a new tool that is capable of capturing I/O on the filesystem layer of mobile devices running the Android operating system, in support of new mobile storage research. Uniquely, it is able to capture both metadata of writes as well as the actual written data, transparently to the apps running on the devices. Based on a modification of the strace program, fstrace and its companion tool fstrace-replay can record and replay filesystem I/O of actual Android apps. Using this new tracing tool, several traces from popular Android apps such as Facebook and Twitter were collected and analyzed.
ContributorsMor, Omri (Author) / Zhao, Ming (Thesis director) / Zhao, Ziming (Committee member) / Computer Science and Engineering Program (Contributor, Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
This thesis examines Endgame, a gaming themed bar and restaurant located in the heart of Tempe, Arizona on Mill Avenue. The business serves regular bar fare and offers a wide selection of video games for its customers to play and enjoy. Recently Endgame recognized that it was unsatisfied with its current revenue stream, prompting this investigative study. Upon completing this project, three business problems that are limiting Endgame's revenue growth were identified. The issues identified were: food sales, visibility/access, and alcohol sales. To better understand each of these issues a study was conducted in the form of ethnography research and a survey was distributed to Endgame's target market. Two instances of observational research were conducted and a survey was distributed to 400+ students in the W. P. Carey School of Business. The data collected revealed underlying sentiments about Endgame's food/beverage service and issues related to locating the bar. This investigation revealed that ordering food and beverages at Endgame is difficult and not a straight forward process. This led to a set of recommendations related to creating an efficient and simple ordering process. The study also showed that Endgame (which is on the second floor of a building) lacks the appropriate signage to indicate its location. Using this information, recommendations were made for Endgame to create additional signage near stairs and elevators to indicate their location. The research also revealed a general lack of consumer awareness in relation to alcoholic beverages that contributed to low sales. This led to a strategy to revitalize Endgame's marketing campaign and a redesign of their beverage menu. Outside of the three business problems found during observational research, several other areas were examined in the survey at the request of Endgame's management. These areas revealed additional understandings into consumer behavior and feelings towards Endgame. These customer insights along with the recommendations given in this paper will be used by Endgame to increase their overall business revenues.
ContributorsPaplham, Tyler James (Author) / Eaton, John (Thesis director) / Mokwa, Michael (Committee member) / Department of Information Systems (Contributor) / Department of Marketing (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
A specific species of the genus Geobacter exhibits useful electrical properties when processing a molecule often found in waste water. A team at ASU including Dr Cèsar Torres and Dr Sudeep Popat used that species to create a special type of solid oxide fuel cell we refer to as a microbial fuel cell. Identification of possible chemical processes and properties of the reactions used by the Geobacter are investigated indirectly by taking measurements using Electrochemical Impedance Spectroscopy of the electrode-electrolyte interface of the microbial fuel cell to obtain the value of the fuel cell's complex impedance at specific frequencies. Investigation of the multiple polarization processes which give rise to measured impedance values is difficult to do directly and so examination of the distribution function of relaxation times (DRT) is considered instead. The DRT is related to the measured complex impedance values using a general, non-physical equivalent circuit model. That model is originally given in terms of a Fredholm integral equation with a non-square integrable kernel which makes the inverse problem of determining the DRT given the impedance measurements an ill-posed problem. The original integral equation is rewritten in terms of new variables into an equation relating the complex impedance to the convolution of a function based upon the original integral kernel and a related but separate distribution function which we call the convolutional distribution function. This new convolutional equation is solved by reducing the convolution to a pointwise product using the Fourier transform and then solving the inverse problem by pointwise division and application of a filter function (equivalent to regularization). The inverse Fourier transform is then taken to get the convolutional distribution function. In the literature the convolutional distribution function is then examined and certain values of a specific, less general equivalent circuit model are calculated from which aspects of the original chemical processes are derived. We attempted to instead directly determine the original DRT from the calculated convolutional distribution function. This method proved to be practically less useful due to certain values determined at the time of experiment which meant the original DRT could only be recovered in a window which would not normally contain the desired information for the original DRT. This limits any attempt to extend the solution for the convolutional distribution function to the original DRT. Further research may determine a method for interpreting the convolutional distribution function without an equivalent circuit model as is done with the regularization method used to solve directly for the original DRT.
ContributorsBaker, Robert Simpson (Author) / Renaut, Rosemary (Thesis director) / Kostelich, Eric (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
A problem of interest in theoretical physics is the issue of the evaporation of black holes via Hawking radiation subject to a fixed background. We approach this problem by considering an electromagnetic analogue, where we have substituted Hawking radiation with the Schwinger effect. We treat the case of massless QED in 1+1 dimensions with the path integral approach to quantum field theory, and discuss the resulting Feynman diagrams from our analysis. The results from this thesis may be useful to find a version of the Schwinger effect that can be solved exactly and perturbatively, as this version may provide insights to the gravitational problem of Hawking radiation.
ContributorsDhumuntarao, Aditya (Author) / Parikh, Maulik (Thesis director) / Davies, Paul C. W. (Committee member) / Department of Physics (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
The loss of a loved one through suicide is a traumatic life event that brings about considerable emotional turmoil. In the present study, the term suicide loss survivor refers to an individual who is a family member or a friend of a person who died by suicide. Through the three chosen methods of gathering data, which are online surveys, in person interviews, and photography sessions, researchers highlight the personal experience of thirty-three suicide loss survivors. Supported by these various methods of data collection are the unique issues that accompany the bereavement of a suicide loss. The areas of focus are the emotional trauma, social stigma, and postvention resources utilized or made available to suicide loss survivors. Throughout interviews with suicide loss survivors, some of whom also identified as Arizona State University students, an additional opportunity for research emerged. Participants identified that Arizona State University is not effectively providing suicide awareness and prevention materials and training to its community, including staff and students. Recommendations for how Arizona State University can improve their current processes are discussed in the conclusion. By implementing the recommendations of prevention and postvention care, it is possible to educate students and staff and, in turn, allow Arizona State University to foster a culture of empathy for existing suicide loss survivors, while working on decreasing the risk of future suicides. This creative project and narrative analysis was performed by two individuals who themselves are suicide loss survivors and have taken their personal experiences as a foundation for the project's need.
ContributorsStockwell, Anna (Co-author) / Lashinske, Angela (Co-author) / Kashiwagi, Dean (Thesis director) / Kashiwagi, Jacob (Committee member) / Department of Information Systems (Contributor) / Department of Supply Chain Management (Contributor) / Economics Program in CLAS (Contributor) / School of Accountancy (Contributor) / WPC Graduate Programs (Contributor) / W. P. Carey School of Business (Contributor) / School of Community Resources and Development (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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 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