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This thesis research aims to define, identify, and promote community theatre as a “third space” for disadvantaged youth. A third space is defined by the Oxford dictionary as “...the in-between, or hybrid, spaces, where the first and second spaces work together to generate a new third space. First and second

This thesis research aims to define, identify, and promote community theatre as a “third space” for disadvantaged youth. A third space is defined by the Oxford dictionary as “...the in-between, or hybrid, spaces, where the first and second spaces work together to generate a new third space. First and second spaces are two different, and possibly conflicting, spatial groupings where people interact physically and socially: such as home (everyday knowledge) and school (academic knowledge)” (Oxford Dictionary, 2021). For disadvantaged youth, the creation of a third space in the theatre can give them a safe environment away from issues they may have at home or at school, it can further their learning about themselves and others, and it can also help those youth feel a sense of belonging to a community larger than themselves. Because of these benefits, it is clear that performing arts programs can offer a great impact on disadvantaged youth; however, many theatre companies struggle to market their programming to said communities. This may be in part, due to low marketing budgets, no specificity in labor resources dedicated to youth programming, or ineffective marketing strategies and tactics.<br/>In order to ideate marketing recommendations for these organizations, primary research was conducted to determine the attitudes and beliefs revolving around youth participation in community theatre, as well as the current marketing strategies and tactics being utilized by programmers. Participants included program managers of youth theatre programs, as well as youth participants from several major cities in the U. S. The secondary research aims to better understand the target demographic (disadvantaged youth), the benefits derived from participation in arts programming, and marketing strategies for the performing arts. Following data analysis are several recommendations for the learning, planning, and implementation of marketing strategies for theatre programmers.

ContributorsNarducci, Emily Nicole (Co-author) / Feuerstein, Kaleigh (Co-author) / Gray, Nancy (Thesis director) / Woodson, Stephani (Committee member) / Department of Marketing (Contributor) / Department of Information Systems (Contributor) / Walter Cronkite School of Journalism and Mass Comm (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Micro influencers have become extremely powerful in terms of swaying buying patterns among consumers. This thesis examines the greater impact that micro influencers have on brand marketing. This was completed through a literature review that highlights the evolution of marketing, influencer marketing, discussing reach, relevance, and resonance, and Generation Z’s

Micro influencers have become extremely powerful in terms of swaying buying patterns among consumers. This thesis examines the greater impact that micro influencers have on brand marketing. This was completed through a literature review that highlights the evolution of marketing, influencer marketing, discussing reach, relevance, and resonance, and Generation Z’s purchasing decisions. In addition, we conducted an online survey through Qualtrics that allowed us to analyze the impact social media influencers have. The results of our research indicate that TikTok is used most frequently, but Instagram is where social media influencers are followed most. From our data, we concluded that Generation Z is most influenced by authentic, genuine content created by influencers regardless of follower count. We recommend that a brand interested in reaching Generation Z (we refer to the brand as “Brand X”) use micro influencers, as our research shows that genuine relationships are valued among this generation. We believe that micro influencers are the most valuable to use as they are able to create meaningful relationships with consumers due to their reach, relevance, and resonance with the individuals their content reaches.

ContributorsYoung, Colbi G (Co-author) / Keenan, Anna (Co-author) / Giles, Charles Bret (Thesis director) / Schlacter, John (Committee member) / Department of Finance (Contributor) / Department of Marketing (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Arizona State University students are currently out of the loop when it comes to hearing about events being held in their community. This is because there is no established service that provides an inclusive list of both on and near campus events. What's worse is that the current methods for

Arizona State University students are currently out of the loop when it comes to hearing about events being held in their community. This is because there is no established service that provides an inclusive list of both on and near campus events. What's worse is that the current methods for event marketing rely heavily on who one knows. Currently, ASU students hear about events through word of mouth, email chains, Facebook pages, and posters around campus. Thankfully, there is now an event marketing method that is available to everyone. UniEvents is a newly developed event service that live-tracks events around ASU's Tempe campus. UniEvents consists of a webpage that accommodates all screen sizes and is accessible by all devices including smartphones, tablets, and desktop computers. The website offers a user-friendly interface and useful features. Students are able to scan through event listings on a calendar or they can use an interactive map to find events nearest to them. Furthermore, UniEvents also offers the option for users to submit events to be advertised through the service. This way, students and organizations can easily spread the word about events on campus. Through UniEvents, ASU students will finally be able to see a conclusive list of upcoming events in one convenient site. Students will be able to save time and hassle by not having to rely on numerous sources to learn about events. UniEvents is committed to help students learn about events and get involved in campus activities!
ContributorsDeegan, Taylor (Co-author) / Nguyen, Lilian (Co-author) / Ostrom, Lonnie (Thesis director) / Schlacter, John (Committee member) / Harrington Bioengineering Program (Contributor) / Economics Program in CLAS (Contributor) / Department of Information Systems (Contributor) / Department of Marketing (Contributor) / School of Accountancy (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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As a Marketing and Business Data Analytics student, it has become increasingly apparent through coursework and professional experiences that the landscape of e-commerce and data-driven marketing is changing. Many companies flounder and are barely keeping up with the fast-developing world of e-commerce, while others are thriving and becoming “E-Commerce Giants”.

As a Marketing and Business Data Analytics student, it has become increasingly apparent through coursework and professional experiences that the landscape of e-commerce and data-driven marketing is changing. Many companies flounder and are barely keeping up with the fast-developing world of e-commerce, while others are thriving and becoming “E-Commerce Giants”. What do they do that make them successful?
Through research from case studies and professional interviews, it can be shown that those who fail and become victim to the e-commerce giants are those who do not allocate enough budget and resources to allow e-commerce to succeed; they do not correctly utilize data throughout the creation of their e-commerce site nor their marketing, have a vast lack of knowledge, and ultimately do not adapt to trends in e-commerce.
E-commerce giants are those who lead in the world-wide e-commerce revolution. They have entered a market and have caused/are continuing to cause instability for those who have not adapted or changed. These e-commerce giants do not have to be “giant” in size; rather, they are making giant changes that allow them to be successful within the industry. They are the prime examples of how e-commerce and data-driven marketing can be successful.
My research shows in order to successfully practice e-commerce, companies must adapt the best practices shown by these giants: owning your data, developing a strong budget for data-driven marketing, investing in the technology and people needed to implement a sound strategy, training employees in basic data, utilizing data in all aspects of marketing, creating an easy online experience that using AB Testing, hosting post mortem meetings to identify successes and failures, understanding your customers, creating the appropriate customer segmentation, nixing the “one fits all” strategy, and never getting too comfortable. If a company is stagnant, they are behind.
ContributorsSirois, Natalie Rose (Author) / Giles, Charles (Thesis director) / Fette, Donald (Committee member) / Department of Marketing (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
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Advertisements for financial instruments such as car loans, title loans, and rental agreements create the complex problem of presenting substantial loan agreement terms while also keeping an advertisement light and inviting. There are two main types of rules concerning how these advertisers can promote their products: regulation and guidance. Regulation

Advertisements for financial instruments such as car loans, title loans, and rental agreements create the complex problem of presenting substantial loan agreement terms while also keeping an advertisement light and inviting. There are two main types of rules concerning how these advertisers can promote their products: regulation and guidance. Regulation is the official set of laws governing what can or must be said in an advertisement. Guidance is official suggestions for proper advertising practices that are not tied to written laws. The Consumer Financial Protection Bureau (CFPB) controls regulation for the required disclosure in these advertisements and requires all material loan terms to be stated “clearly and conspicuously; however, advertisers still put important loan information in hard to see the fine print, making it difficult for the consumer to understand the advertisement. The Federal Trade Commission (FTC) is in charge of creating guidance, enforcing advertising regulation and preventing advertisements from becoming deceptive, but, due to the ambiguous nature of disclosure formatting requirements, many transgressions go uninhibited.

We conducted a survey to test consumer's perception and understanding of advertisements promoting financial instruments to see if advertisements that have run without contest from the Federal Trade Commission still have the ability to be deceptive or lack disclosure. We provided a variety of advertisements for markets such as automobiles and rent-to-own businesses. Each one of these advertisements dealt with a different financial instrument so that we could accurately test the knowledge of respondents. We collected 95 complete responses and 23 partial responses from our distribution of this survey.



Advertisements for financial instruments such as car loans, title loans, and rental agreements create the complex problem of presenting substantial loan agreement terms while also keeping an advertisement light and inviting. There are two main types of rules concerning how these advertisers can promote their products: regulation and guidance. Regulation is the official set of laws governing what can or must be said in an advertisement. Guidance is official suggestions of proper advertising practices that is not tied to written laws. The Consumer Financial Protection Bureau (CFPB) controls regulation for the required disclosure in these advertisements and requires all material loan terms to be stated “clearly and conspicuously; however, advertisers still put important loan information in hard to see fine print, making it difficult for the consumer to understand the advertisement. The Federal Trade Commission (FTC) is in charge of creating guidance, enforcing advertising regulation and preventing advertisements from becoming deceptive, but, due to the ambiguous nature of disclosure formatting requirements, many transgressions go uninhibited.

We conducted a survey to test consumer's perception and understanding of advertisements promoting financial instruments to see if advertisements that have run without contest from the Federal Trade Commission still have the ability to be deceptive or lack disclosure. We provided a variety of advertisements for markets such as automobiles and rent-to-own businesses. Each one of these advertisements dealt with a different financial instrument so that we could accurately test the knowledge of respondents. We collected 95 complete responses and 23 partial responses from our distribution of this survey.



The results show that the average consumer does not have a complete understanding of financial instruments in the context of these advertisements. These results also demonstrated that consumers are not completely comprehending the information provided to them by these advertisements. We found that in some cases, it was the way that information was provided to the consumer that was causing them to have misconceptions about the information presented. We concluded that there were enough respondents that did not correctly interpret these advertisements to support that there is some misleading and deception by these advertisements despite the lack of context by the FTC. As such, we suggest that current federal guidance be made into official regulation to further prevent these transgressions and further attempts be made to locate and prevent deceptive advertisements.
ContributorsYee, Thorin Cole (Co-author) / Heathcotte, Emily (Co-author) / Giles, Charles (Thesis director) / deLusé, Stephanie (Committee member) / Department of Marketing (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
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With the discovery of “Big Data” and the positive impacts properly using data can have on any and every business, it is no wonder that there has been an explosion of companies choosing to implement many possible uses of data. Consumers and any people who may not fully understand

With the discovery of “Big Data” and the positive impacts properly using data can have on any and every business, it is no wonder that there has been an explosion of companies choosing to implement many possible uses of data. Consumers and any people who may not fully understand the process of collecting, analyzing, and visualizing data may be more easily swayed towards believing something that might not necessarily be true or represented accurately. Often it may feel like every hot topic issue has groups on both sides of the issues using seemingly objective data to prove why their side is correct. Seeing two contradictory sides with seemingly factual data can leave many people confused and unsure what the correct course of action is. With this in mind, I realized that there was a chance the businesses could be creating similar misrepresentations of data to sway customers that the company’s product or service is absolutely a necessity in their lives. After all, the world of marketing and understanding consumer preference is a wildly changing and constant moving target that companies have to navigate. Using data surrounding their products and services to create a desire in consumers to buy and use their offerings seems like a surefire way to successfully target market segments.
As I researched and conducted initial analysis for this project, I quickly ran into a few roadblocks that lead to me needing to pivot off of certain ideas and adapt my initial plans to fit what was actually being done in the current marketing environment. In reality, most businesses are not up for taking the risk of explicitly giving real metrics of their products and services to customers. Due to this, my thesis evolved into finding other ways that companies would use logical appeals to represent their products and comparatively analyze how these companies choose to represent themselves on a social media platform.
ContributorsQueen, Adrianna Louise (Author) / Prince, Linda (Thesis director) / Olsen, Christopher (Committee member) / Dean, W.P. Carey School of Business (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
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In this paper, I have designed a business model for a new type of fashion retail
store. This store will perfect the personal styling experience by utilizing customer and
apparel data to make individualized apparel recommendations. The format of this store
will heavily reduce the amount of search time for customers by only

In this paper, I have designed a business model for a new type of fashion retail
store. This store will perfect the personal styling experience by utilizing customer and
apparel data to make individualized apparel recommendations. The format of this store
will heavily reduce the amount of search time for customers by only showing clothing
pieces that each person is likely to purchase, based on predictive analytics. In order to
plan this business model and determine whether a company of this style could be
successful, this paper includes research on the current environment of the fashion
industry, the company’s potential target market segmentation, and tactics for developing
the best customer offering.
ContributorsTrevino, Alexandra (Author) / Riker, Elise (Thesis director) / Schlacter, John (Committee member) / WPC Graduate Programs (Contributor) / School of International Letters and Cultures (Contributor) / Department of Information Systems (Contributor) / Department of Marketing (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
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International marketing involves a tricky balance between appealing to foreign cultural values while still creating an authentic message, without using stereotypes or relying on complex cultural notions that might be misunderstood. American and Spanish cultures have famously different paces of life: Americans are thought to value busyness, while Spaniards are

International marketing involves a tricky balance between appealing to foreign cultural values while still creating an authentic message, without using stereotypes or relying on complex cultural notions that might be misunderstood. American and Spanish cultures have famously different paces of life: Americans are thought to value busyness, while Spaniards are thought to prefer leisure time. We conduct two studies to determine to what extent these values hold true among Spanish and American students, and whether these values impact students’ perceptions of marketing messages. The results suggest that the hypothesized values of busyness and leisure time are true, but appealing to these deep and complicated values through marketing does not always work. Globalization is causing consumer preferences around the world to converge, and attempting to apply specific cultural values to new global products in marketing communications can easily backfire. We recommend that instead of attempting to appeal to the cultural values of each international audience, advertisers should consider a more standardized approach by positioning new products similarly across the globe, especially to younger consumers.
ContributorsGiel, Emily (Co-author) / Quintero Pacheco, Diana (Co-author) / Montoya, Detra (Thesis director) / Samper, Adriana (Committee member) / Department of Information Systems (Contributor) / School of International Letters and Cultures (Contributor) / School of Social Transformation (Contributor) / Department of Marketing (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
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Only an Executive Summary of the project is included.
The goal of this project is to develop a deeper understanding of how machine learning pertains to the business world and how business professionals can capitalize on its capabilities. It explores the end-to-end process of integrating a machine and the tradeoffs

Only an Executive Summary of the project is included.
The goal of this project is to develop a deeper understanding of how machine learning pertains to the business world and how business professionals can capitalize on its capabilities. It explores the end-to-end process of integrating a machine and the tradeoffs and obstacles to consider. This topic is extremely pertinent today as the advent of big data increases and the use of machine learning and artificial intelligence is expanding across industries and functional roles. The approach I took was to expand on a project I championed as a Microsoft intern where I facilitated the integration of a forecasting machine learning model firsthand into the business. I supplement my findings from the experience with research on machine learning as a disruptive technology. This paper will not delve into the technical aspects of coding a machine model, but rather provide a holistic overview of developing the model from a business perspective. My findings show that, while the advantages of machine learning are large and widespread, a lack of visibility and transparency into the algorithms behind machine learning, the necessity for large amounts of data, and the overall complexity of creating accurate models are all tradeoffs to consider when deciding whether or not machine learning is suitable for a certain objective. The results of this paper are important in order to increase the understanding of any business professional on the capabilities and obstacles of integrating machine learning into their business operations.
ContributorsVerma, Ria (Author) / Goegan, Brian (Thesis director) / Moore, James (Committee member) / Department of Information Systems (Contributor) / Department of Supply Chain Management (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
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The prevalence of bots, or automated accounts, on social media is a well-known problem. Some of the ways bots harm social media users include, but are not limited to, spreading misinformation, influencing topic discussions, and dispersing harmful links. Bots have affected the field of disaster relief on social media as

The prevalence of bots, or automated accounts, on social media is a well-known problem. Some of the ways bots harm social media users include, but are not limited to, spreading misinformation, influencing topic discussions, and dispersing harmful links. Bots have affected the field of disaster relief on social media as well. These bots cause problems such as preventing rescuers from determining credible calls for help, spreading fake news and other malicious content, and generating large amounts of content which burdens rescuers attempting to provide aid in the aftermath of disasters. To address these problems, this research seeks to detect bots participating in disaster event related discussions and increase the recall, or number of bots removed from the network, of Twitter bot detection methods. The removal of these bots will also prevent human users from accidentally interacting with these bot accounts and being manipulated by them. To accomplish this goal, an existing bot detection classification algorithm known as BoostOR was employed. BoostOR is an ensemble learning algorithm originally modeled to increase bot detection recall in a dataset and it has the possibility to solve the social media bot dilemma where there may be several different types of bots in the data. BoostOR was first introduced as an adjustment to existing ensemble classifiers to increase recall. However, after testing the BoostOR algorithm on unobserved datasets, results showed that BoostOR does not perform as expected. This study attempts to improve the BoostOR algorithm by comparing it with a baseline classification algorithm, AdaBoost, and then discussing the intentional differences between the two. Additionally, this study presents the main factors which contribute to the shortcomings of the BoostOR algorithm and proposes a solution to improve it. These recommendations should ensure that the BoostOR algorithm can be applied to new and unobserved datasets in the future.
ContributorsDavis, Matthew William (Author) / Liu, Huan (Thesis director) / Nazer, Tahora H. (Committee member) / Computer Science and Engineering Program (Contributor, Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2018-12