Matching Items (452)
Filtering by
- Creators: Department of Information Systems
- Member of: Theses and Dissertations
- Resource Type: Text
Description
Cryptocurrencies are notorious for its volatility. But with its incredible rise in price, Bitcoin keep being on the top among the trending topics on social media. Although doubts continue to rise with price, Bloomberg even make critics on Bitcoin as ‘the biggest bubble in the history’, some investors still hold strong enthusiasm and confidence towards Bitcoin. As contradicting opinions increase, it is worthy to dive into discussions on social media and use a scientific method to evaluate public’s non-negligible role in crypto price fluctuation.
Sentiment analysis, which is a notably method in text mining, can be used to extract the sentiment from people’s opinion. It then provides us with valuable perception on a topic from the public’s attitude, which create more opportunities for deeper analysis and prediction.
The thesis aims to investigate public’s sentiment towards Bitcoin through analyzing 10 million Bitcoin related tweets and assigning sentiment points on tweets, then using sentiment fluctuation as a factor to predict future crypto fluctuation. Price prediction is achieved by using a machine learning model called Recurrent Neural Network which automatically learns the pattern and generate following results with memory. The analysis revels slight connection between sentiment and crypto currency and the Neural Network model showed a strong connection between sentiment score and future price prediction.
Sentiment analysis, which is a notably method in text mining, can be used to extract the sentiment from people’s opinion. It then provides us with valuable perception on a topic from the public’s attitude, which create more opportunities for deeper analysis and prediction.
The thesis aims to investigate public’s sentiment towards Bitcoin through analyzing 10 million Bitcoin related tweets and assigning sentiment points on tweets, then using sentiment fluctuation as a factor to predict future crypto fluctuation. Price prediction is achieved by using a machine learning model called Recurrent Neural Network which automatically learns the pattern and generate following results with memory. The analysis revels slight connection between sentiment and crypto currency and the Neural Network model showed a strong connection between sentiment score and future price prediction.
ContributorsZhu, Xiaoyu (Author) / Benjamin, Victor (Thesis director) / Qinglai, He (Committee member) / Department of Information Systems (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2018-12
Description
The purpose of this project is to create an affordable and low-environmental impact housing model for high-density urban living. Detailed research was completed to select the Arizonan city of Tempe for the basis of this model such as author's preference and alarming demographic and economic factors. The finalized model will consist of shipping containers that will be converted into housing. These domiciles are ideal for a maximum of 1-2 occupants. The units will be stacked into communities to accomplish high density. These shipping containers will be used rather than brand new, the community landscape will consist of natural desert landscaping, a recycling program will be offered, and solar panels will be used to power the units. The decision for these features fulfills both the mission of the project and markets to the main demographic group of residents in Tempe, Millennials, who usually place sustainability in high regard. These units are meant to be purchased by the target market and other citizens to increase homeownership rates in Tempe. Their ownership rights will be analogous owning a condo, where they will own the converted shipping container itself, but not the property the unit is placed on. In addition, these units qualify for traditional loans and will appreciate similar to normal housing options. After conceptualizing the idea, various costs were analyzed for construction of the units. A critical component of the project is to receive government grants to fund the venture in order to continue the mission and keep prices of these units low. This model is expandable and could be moved to other cities within the state or potentially other states through future government grant attainment and success with the first installation. These communities will be managed by a company, Shipping Designs, which will be a limited liability company created by the author, Shauna Burgoyne.
ContributorsBurgoyne, Shauna Cheyenne (Author) / Kellso, James (Thesis director) / Dooley, Kevin (Committee member) / Department of Supply Chain Management (Contributor) / Department of Information Systems (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2018-12
Description
Financial Intelligence Pays Off blog is an easy to use blog for high school juniors and seniors and college students to access in order to receive a quick overview of essential financial topics. There are many sources and college courses for students to take to get a more in-depth understanding of topics such as saving, filing taxes, learning about credit but many times students do not know about these courses. However, it is often that courses are restricted to students who are business majors and online sources sometimes use to technical of terminology for young adults to follow along. The goal of this blog is for it to give students just a quick overview of what taxes are, how to manage and have a good credit score, how to keep a budget and other essential financial tasks. There are five topics covered in the blog as well as resources for students to access if they would like more information on a topic.
ContributorsFavata, Danielle (Co-author) / Perez-Vargas, Sofia (Co-author) / Sadusky, Brian (Thesis director) / Hoffman, David (Committee member) / WPC Graduate Programs (Contributor) / School of Accountancy (Contributor) / Department of Information Systems (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2018-12
Description
Enterprise Resource Planning systems (ERP systems) are business systems that combine data from across a company into one streamlined database (Bradford, 2015). ERP systems are intended to make people’s lives easier and more convenient in the workplace, but they can be cumbersome to deal with for employees, even those with experience. This thesis aims to understand and offer solutions to three key problems in using and implementing ERP systems, incorrect implementation, a lack of proper resources, and low motivation. It offers a framework of three solutions that are easy to implement and maintain. The first is to offer proper change management because “Change management is the body of knowledge that addresses change within the context of an organization,” (Bradford, 2015). The second is to understand employees as individuals with unique backgrounds and learning styles. Finally, the third is to implement an easily searchable database of common questions and issues that arise when using the ERP system, but for each individual department. These are then applied to the transition of Blackboard to Canvas at Arizona State University with a short informal survey that was sent out to faculty members. Lastly, this thesis describes how to motivate employees to want to use these solutions and changes.
ContributorsMeyer, Alexa (Author) / Matthew, Sopha (Thesis director) / Edgard, Luque (Committee member) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Data has quickly become a cornerstone of society. Across our daily lives, industry, policy, and more, we are experiencing what can only be called a “data revolution” igniting ferociously. While data is gaining more and more importance, consumers do not fully understand the extent of its use and subsequent capitalization by companies. This paper explores the current climate relating to data security and data privacy. It aims to start a conversation regarding the culture around the sharing and collection of data. We explore aspects of data privacy in four tiers: the current cultural and social perception of data privacy, its relevance in our daily lives, its importance in society’s dialogue. Next, we look at current policy and legislature in place today, focusing primarily on Europe’s established GDPR and the incoming California Consumer Privacy Act, to see what measures are already in place and what measures need to be adopted to mold more of a culture of transparency. Next, we analyze current data privacy regulations and power of regulators like the FTC and SEC to see what tools they have at their disposal to ensure accountability in the tech industry when it comes to how our data is used. Lastly, we look at the potential act of treating and viewing data as an asset, and the implications of doing so in the scope of possible valuation and depreciation techniques. The goal of this paper is to outline initial steps to better understand and regulate data privacy and collection practices. Our goal is to bring this issue to the forefront of conversation in society, so that we may start the first step in the metaphorical marathon of data privacy, with the goal of establishing better data privacy controls and become a more data-conscious society.
ContributorsAnderson, Thomas C (Co-author) / Shafeeva, Zarina (Co-author) / Swiech, Jakub (Co-author) / Marchant, Gary (Thesis director) / Sopha, Matthew (Committee member) / WPC Graduate Programs (Contributor) / Department of Finance (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Coherent vortices are ubiquitous structures in natural flows that affect mixing and transport of substances and momentum/energy. Being able to detect these coherent structures is important for pollutant mitigation, ecological conservation and many other aspects. In recent years, mathematical criteria and algorithms have been developed to extract these coherent structures in turbulent flows. In this study, we will apply these tools to extract important coherent structures and analyze their statistical properties as well as their implications on kinematics and dynamics of the flow. Such information will aide representation of small-scale nonlinear processes that large-scale models of natural processes may not be able to resolve.
ContributorsCass, Brentlee Jerry (Author) / Tang, Wenbo (Thesis director) / Kostelich, Eric (Committee member) / Department of Information Systems (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Alexis de Tocqueville, French political theorist and scientist, theorized in the 19th century that “France cannot reform except through revolution” (Heisbourg, 2016). As France continues to face a strained economy with high unemployment and stalled growth, the OECD recommends that France should implement labor reform “to promote job growth” (OECD, 2015). Labor reform refers to removing labor protections for French employees, resulting in an increase in firing and hiring flexibility for employers.
Recent governments in France have failed to bring about meaningful labor reform, faced with opposition in the streets or within their own political party. The election of Emanuel Macron, viewed as a political outsider who had never held elected office created his own political party, En Marche, seemed like the catalyst to lasting economic reform. However, if high unemployment and slow economic growth to comparable economies have been concerns for France since the beginning of the 21st century, why were past governments unsuccessful in implementing legislative actions to address labor reform?
This paper will argue that the election of Macron and the establishment of En Marche was caused by a shift in power that allowed Macron enough support to sway the political landscape of France and implement labor market reform. This largely has to do with the power struggle between France’s Outsiders, “those without secure employment, Insiders, “those with secure employment” and the Upscale group, “employers, the upper middle class, and the business and financial community” (Rudea, 2007). However, the degree and preservation of Macron’s reform plans are threatened by Insiders who have been stripped of employee protections.
Recent governments in France have failed to bring about meaningful labor reform, faced with opposition in the streets or within their own political party. The election of Emanuel Macron, viewed as a political outsider who had never held elected office created his own political party, En Marche, seemed like the catalyst to lasting economic reform. However, if high unemployment and slow economic growth to comparable economies have been concerns for France since the beginning of the 21st century, why were past governments unsuccessful in implementing legislative actions to address labor reform?
This paper will argue that the election of Macron and the establishment of En Marche was caused by a shift in power that allowed Macron enough support to sway the political landscape of France and implement labor market reform. This largely has to do with the power struggle between France’s Outsiders, “those without secure employment, Insiders, “those with secure employment” and the Upscale group, “employers, the upper middle class, and the business and financial community” (Rudea, 2007). However, the degree and preservation of Macron’s reform plans are threatened by Insiders who have been stripped of employee protections.
ContributorsLoonam, Daniel Francis (Author) / Thomson, Henry (Thesis director) / Kirsch, Robert (Committee member) / Department of Information Systems (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
The way that people consume media is changing. While every platform seems to shift to video, there is a not-so-quiet revolution going on in the podcast industry. Each week, 10,000 new podcasts are created and uploaded and this number continues to grow (Moore, 2018). As the prevalence of smartphones, faster download speeds, and streaming platforms have proliferated across the globe, more and more people are turning to podcasts to get their content fix. Young professionals are especially drawn to the format because it fits perfectly into their busy lifestyles. This thesis explored how to create, produce, and market a podcast to college students and entry level workers that are interested in pursuing a career in advertising. We collected data through conducting depth interviews and an online survey to podcast listeners as well marketing and design students. The insights drawn from this research were combined with a thorough trend analysis of the podcast market to find the factors that matter most to the target consumer. From there we produced eight episodes of the podcast and released them over a timespan of two and a half months. Finally, paid social media advertisements were used to target students at major advertising colleges around the country. The results of this thesis found that there are a number of important takeaways from the process that can help anyone build a podcast brand, audience and media strategy. Our research found that prospective podcasters should: maintain a consistent upload schedule, invest in audio quality, experiment with content strategy, know their target audience, own your show’s brand, and not rely on just one audio streaming platform.
ContributorsLarkin, Brianna Nicole (Co-author) / Larkin, Brianna (Co-author) / Teixeira, Trent (Thesis director) / Eaton, Kathryn Karnos (Committee member) / Giles, Charles (Committee member) / Department of Information Systems (Contributor) / Department of Marketing (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Exchange traded funds (ETFs) in many ways are similar to more traditional closed-end mutual funds, although thee differ in a crucial way. ETFs rely on a creation and redemption feature to achieve their functionality and this mechanism is designed to minimize the deviations that occur between the ETF’s listed price and the net asset value of the ETF’s underlying assets. However while this does cause ETF deviations to be generally lower than their mutual fund counterparts, as our paper explores this process does not eliminate these deviations completely. This article builds off an earlier paper by Engle and Sarkar (2006) that investigates these properties of premiums (discounts) of ETFs from their fair market value. And looks to see if these premia have changed in the last 10 years. Our paper then diverges from the original and takes a deeper look into the standard deviations of these premia specifically.
Our findings show that over 70% of an ETFs standard deviation of premia can be explained through a linear combination consisting of two variables: a categorical (Domestic[US], Developed, Emerging) and a discrete variable (time-difference from US). This paper also finds that more traditional metrics such as market cap, ETF price volatility, and even 3rd party market indicators such as the economic freedom index and investment freedom index are insignificant predictors of an ETFs standard deviation of premia when combined with the categorical variable. These findings differ somewhat from existing literature which indicate that these factors should have a significant impact on the predictive ability of an ETFs standard deviation of premia.
Our findings show that over 70% of an ETFs standard deviation of premia can be explained through a linear combination consisting of two variables: a categorical (Domestic[US], Developed, Emerging) and a discrete variable (time-difference from US). This paper also finds that more traditional metrics such as market cap, ETF price volatility, and even 3rd party market indicators such as the economic freedom index and investment freedom index are insignificant predictors of an ETFs standard deviation of premia when combined with the categorical variable. These findings differ somewhat from existing literature which indicate that these factors should have a significant impact on the predictive ability of an ETFs standard deviation of premia.
ContributorsZhang, Jingbo (Co-author, Co-author) / Henning, Thomas (Co-author) / Simonson, Mark (Thesis director) / Licon, L. Wendell (Committee member) / Department of Finance (Contributor) / Department of Information Systems (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
The United States is in a period of political turmoil and polarization. New technologies have matured over the last ten years, which have transformed an individual’s relationship with society and government. The emergence of these technologies has revolutionized access to both information and misinformation. Skills such as bias recognition and critical thinking are more imperative than in any other time to separate truth from false or misleading information. Meanwhile, education has not evolved with these changes. The average individual is more likely to come to uninformed conclusions and less likely to listen to differing perspectives. Moreover, technology is further complicating and compounding other issues in the political process. All of this is manifesting in division among the American people who elect more polarized politicians who increasingly fail to find avenues for compromise.
In an effort to address these trends, we founded a student organization, The Political Literates, to fight political apathy by delivering political news in an easy to understand and unbiased manner. Inspired by our experience with this organization, we combine our insights with research to paint a new perspective on the state of the American political system.
This thesis analyzes various issues identified through our observations and research, with a heavy emphasis on using examples from the 2016 election. Our focus is how new technologies like data analytics, the Internet, smartphones, and social media are changing politics by driving political and social transformation. We identify and analyze five core issues that have been amplified by new technology, hindering the effectiveness of elections and further increasing political polarization:
● Gerrymandering which skews partisan debate by forcing politicians to pander to ideologically skewed districts.
● Consolidation of media companies which affects the diversity of how news is shared.
● Repeal of the Fairness Doctrine which allowed media to become more partisan.
● The Citizens United Ruling which skews power away from average voters in elections.
● A Failing Education System which does not prepare Americans to be civically engaged and to avoid being swayed by biased or untrue media.
Based on our experiment with the Political Literates and our research, we call for improving how critical thinking and civics is taught in the American education system. Critical thought and civics must be developed pervasively. With this, more people would be able to form more sophisticated views by listening to others to learn rather than win, listening less to irrelevant information, and forming a culture with more engagement in politics. Through this re-enlightenment, many of America’s other problems may evaporate or become more actionable.
In an effort to address these trends, we founded a student organization, The Political Literates, to fight political apathy by delivering political news in an easy to understand and unbiased manner. Inspired by our experience with this organization, we combine our insights with research to paint a new perspective on the state of the American political system.
This thesis analyzes various issues identified through our observations and research, with a heavy emphasis on using examples from the 2016 election. Our focus is how new technologies like data analytics, the Internet, smartphones, and social media are changing politics by driving political and social transformation. We identify and analyze five core issues that have been amplified by new technology, hindering the effectiveness of elections and further increasing political polarization:
● Gerrymandering which skews partisan debate by forcing politicians to pander to ideologically skewed districts.
● Consolidation of media companies which affects the diversity of how news is shared.
● Repeal of the Fairness Doctrine which allowed media to become more partisan.
● The Citizens United Ruling which skews power away from average voters in elections.
● A Failing Education System which does not prepare Americans to be civically engaged and to avoid being swayed by biased or untrue media.
Based on our experiment with the Political Literates and our research, we call for improving how critical thinking and civics is taught in the American education system. Critical thought and civics must be developed pervasively. With this, more people would be able to form more sophisticated views by listening to others to learn rather than win, listening less to irrelevant information, and forming a culture with more engagement in politics. Through this re-enlightenment, many of America’s other problems may evaporate or become more actionable.
ContributorsStenseth, Kyle (Co-author) / Tumas, Trevor (Co-author) / Mokwa, Michael (Thesis director) / Eaton, John (Committee member) / Department of Information Systems (Contributor) / Department of Supply Chain Management (Contributor) / Sandra Day O'Connor College of Law (Contributor) / Watts College of Public Service & Community Solut (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05