Matching Items (62)
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- All Subjects: Marketing
- Creators: Department of Information Systems
- Creators: Giles, Charles
- Member of: Barrett, The Honors College Thesis/Creative Project Collection
Description
The advertising agency, in its variety of forms, is one of the most powerful forces in the modern world. Its products are seen globally through various multimedia outlets and they strongly impact culture and economy. Since its conception in 1843 by Volney Palmer, the advertising agency has evolved into the recognizable—and unrecognizable—firms scattered around the world today. In the United States alone, there are roughly 13.4 thousand agencies, many of which also have branches in other countries. The evolution of the modern advertising agency coincided with, and even preceded, some of the major inflection points in history. Understanding how and why changes in advertising agencies affected these inflection points provides a glimpse of understanding into the relationship between advertising, business, and societal values.
In the pages ahead we will explore the future of the advertising industry. We will analyze our research to uncover the underlying trends pointing towards what is to come and work to apply those explanations to our understanding of advertising in the future.
In the pages ahead we will explore the future of the advertising industry. We will analyze our research to uncover the underlying trends pointing towards what is to come and work to apply those explanations to our understanding of advertising in the future.
ContributorsHarris, Chase (Co-author) / Potthoff, Zachary (Co-author) / Gray, Nancy (Thesis director) / Samper, Adriana (Committee member) / Department of Information Systems (Contributor) / Department of Marketing (Contributor) / Herberger Institute for Design and the Arts (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
This paper looks at the growth of influencer marketing in application and how it has shifted the relationship between brands and consumers. Barriers to enter the space and methods of practice are discussed and analyzed to project the accessibility of obtaining influencer status. Best practices for brands and influencers are outlined based on research, and key findings are analyzed from interviewed participants that play an active role in the field. Another component of the paper includes the discussion of the significance of platform dependence regarding influencers and brands using social media channels to reach consumers. The dynamic of the relationship that exists between consumers, brands and platforms is demonstrated through a model to demonstrate the interdependence of the relationship. The final component of the paper involves the exploration of the field as an active participant through an experiment that was conducted by the researcher on behalf of the question: can anyone be an influencer? The answer to this question is explored through personal accounts on the journey during an eight month process of testing content creation and promotion to build awareness and increase engagement. The barriers to enter the space as an influencer and to collaborate with brands is addressed through the process of testing tactics and strategies on social channels, along with travel expeditions across Arizona to contribute to content creation purposed into blog articles. The findings throughout the paper are conclusive that the value of influencer marketing is increasing as more brands validate and utilize this method in their marketing efforts.
ContributorsDavis, Natalie Marie (Author) / Giles, Bret (Thesis director) / Schlacter, John (Committee member) / Department of Information Systems (Contributor) / Department of Marketing (Contributor) / Walter Cronkite School of Journalism and Mass Communication (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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
The Confessions of a College Entrepreneur is an honors project with the goal of revealing the business and marketing strategies that Charles Crawford used to create multiple successful companies. It's a collection of personal stories, book notes, millionaire interviews, and experiences that Charles had over the past 4 years of intense business experience and research across multiple industries. Charles wants college students and business owners to succeed in business ventures and life in general. This creative thesis project is the map for how to do just that.
ContributorsCrawford, Charles Joseph (Author) / Budolfson, Arthur (Thesis director) / Giles, Charles (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor)
Created2014-12
Description
Over the course of six months, we have worked in partnership with Arizona State University and a leading producer of semiconductor chips in the United States market (referred to as the "Company"), lending our skills in finance, statistics, model building, and external insight. We attempt to design models that help predict how much time it takes to implement a cost-saving project. These projects had previously been considered only on the merit of cost savings, but with an added dimension of time, we hope to forecast time according to a number of variables. With such a forecast, we can then apply it to an expense project prioritization model which relates time and cost savings together, compares many different projects simultaneously, and returns a series of present value calculations over different ranges of time. The goal is twofold: assist with an accurate prediction of a project's time to implementation, and provide a basis to compare different projects based on their present values, ultimately helping to reduce the Company's manufacturing costs and improve gross margins. We believe this approach, and the research found toward this goal, is most valuable for the Company. Two coaches from the Company have provided assistance and clarified our questions when necessary throughout our research. In this paper, we begin by defining the problem, setting an objective, and establishing a checklist to monitor our progress. Next, our attention shifts to the data: making observations, trimming the dataset, framing and scoping the variables to be used for the analysis portion of the paper. Before creating a hypothesis, we perform a preliminary statistical analysis of certain individual variables to enrich our variable selection process. After the hypothesis, we run multiple linear regressions with project duration as the dependent variable. After regression analysis and a test for robustness, we shift our focus to an intuitive model based on rules of thumb. We relate these models to an expense project prioritization tool developed using Microsoft Excel software. Our deliverables to the Company come in the form of (1) a rules of thumb intuitive model and (2) an expense project prioritization tool.
ContributorsAl-Assi, Hashim (Co-author) / Chiang, Robert (Co-author) / Liu, Andrew (Co-author) / Ludwick, David (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Michael (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor) / Department of Finance (Contributor) / Department of Economics (Contributor) / Department of Supply Chain Management (Contributor) / School of Accountancy (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Mechanical and Aerospace Engineering Program (Contributor) / WPC Graduate Programs (Contributor)
Created2015-05
Description
Artificial intelligence (AI) is a burgeoning technology, industry, and field of study. While interest levels regarding its applications in marketing have not yet translated into widespread adoption, AI holds tremendous potential for vastly altering how marketing is done. As such, AI in marketing is a crucial topic to research. By analyzing its current applications, its potential use cases in the near future, how to implement it and its areas for improvement, we can achieve a high-level understanding of AI's long-term implications in marketing. AI offers an improvement to current marketing tactics, as well as entirely new ways of creating and distributing value to customers. For example, programmatic advertising and social media marketing can allow for a more comprehensive view of customer behavior, predictive analytics, and deeper insights through integration with AI. New marketing tools like biometrics, voice, and conversational user interfaces offer novel ways to add value for brands and consumers alike. These innovations all carry similar characteristics of hyper-personalization, efficient spending, scalable experiences, and deep insights. There are important issues that need to be addressed before AI is extensively implemented, including the potential for it to be used maliciously, its effects on job displacement, and the technology itself. The recent progression of AI in marketing is indicative that it will be adopted by a majority of companies soon. The long-term implications of vast implementation are crucial to consider, as an AI-powered industry entails fundamental changes to the skill-sets required to thrive, the way marketers and brands work, and consumer expectations.
ContributorsCannella, James (Author) / Ostrom, Amy (Thesis director) / Giles, Charles (Committee member) / Department of Marketing (Contributor) / Department of Management and Entrepreneurship (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Influencer marketing occurs when a brand elicits an individual to publicly promote or review its product in exchange for some benefit, which can often be either monetary or material. This practice has exploded in today’s marketing and advertising industry due to its high return on investment for businesses and income potential for influencers. With this new and evolving process comes a struggle to establish and maintain regulations between brands, consumers, and influencers. Because influencer marketing is purely based on authenticity and trust between the influencer and the consumer, disclosure or lack thereof can seriously impact the validity of the endorsement. I conducted a study in which consumers were shown a staged influencer post and asked to answer a series of questions regarding compensation, appeal, authenticity, and influence, under three different conditions. Condition A showed an influencer’s post with only general information, Condition B revealed that the post was in collaboration with Tory Burch, and Condition C stated that Tory Burch told the influencer when and where to make the post. I found that as the influencer disclosed more about how she was compensated and controlled by the brand, respondents found the content less appealing, less authentic, and reported that they thought a brand had more influence and compensated her more to create the post. These findings support the idea that influencer marketing requires a level of honesty and trust between the consumer and influencer, and a lack of this causes negative sentiments and less effective results. Moving forward, brands and influencers alike must work to foster more transparent and authentic connections in order be in compliance with FTC regulations as well as maintain meaningful connections with consumers.
ContributorsLoy, Brooke Ellise (Author) / Giles, Charles (Thesis director) / Montoya, Detra (Committee member) / Department of Marketing (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
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