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- Creators: Ostrom, Amy
- Member of: Barrett, The Honors College Thesis/Creative Project Collection
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
The purpose of this thesis is to examine the effects of digital on the fashion industry. In order to accomplish this, we must first examine the fashion industry, as well as the emerging digital space, and how these two industries are rapidly colliding. Fashion, an industry that has been around since the early 1800s in the United States (Fashion History: The American System for Fashion, 2009), is being forced to pivot, and change its traditional practices, in order to remain relevant in a world heavily influenced by the Internet and consumer preferences. The largest changes taking place within fashion include the power of various industry influencers, including designers, magazines, retailers and lifestyle bloggers, and the rise of blogging as a fashion news source. Although designers, magazines and retailers still have significant clout within the industry, bloggers are becoming a force to be reckoned with, adding a new variable to the industry.
Meanwhile, digital is still being defined, as countless people work to determine best practices and reconcile the unending amount of information available into something that can be used. Trends in digital include the concept of new media, blogging, social media and new channels of media. Overall, we are seeing a shift to user-‐ generated content, available all the time, and a proliferation of content being created and published on the Web.
Some of the ways these two industries are colliding include the rise of lifestyle bloggers, developments and usage of technology, an abundance of new e-‐commerce models, and finally, a shift in the ways consumers curate and discover products online.
Predictions for the future include a more streamlined and user-‐friendly process for search and product discovery online, increase in social commerce and personalization of products, and finally, a return to brick and mortar shopping, but with an improved, experiential model. These trends will affect industry stakeholders dramatically, and so necessary actions for these stakeholders are also discussed, such as allocating more resources to content generation and e-‐commerce, giving consumers the ability to personalize, and improving their physical shopping experiences to provide something valuable and entertaining.
Meanwhile, digital is still being defined, as countless people work to determine best practices and reconcile the unending amount of information available into something that can be used. Trends in digital include the concept of new media, blogging, social media and new channels of media. Overall, we are seeing a shift to user-‐ generated content, available all the time, and a proliferation of content being created and published on the Web.
Some of the ways these two industries are colliding include the rise of lifestyle bloggers, developments and usage of technology, an abundance of new e-‐commerce models, and finally, a shift in the ways consumers curate and discover products online.
Predictions for the future include a more streamlined and user-‐friendly process for search and product discovery online, increase in social commerce and personalization of products, and finally, a return to brick and mortar shopping, but with an improved, experiential model. These trends will affect industry stakeholders dramatically, and so necessary actions for these stakeholders are also discussed, such as allocating more resources to content generation and e-‐commerce, giving consumers the ability to personalize, and improving their physical shopping experiences to provide something valuable and entertaining.
ContributorsLose', Jenna Elizabeth (Author) / Ostrom, Amy (Thesis director) / Giles, Bret (Committee member) / Boonlorn, Jennifer (Committee member) / Barrett, The Honors College (Contributor) / Department of Marketing (Contributor)
Created2013-05
Description
Abstract
My thesis aims to uncover the ultimate strategy behind short form visual stories, otherwise known as the digital advertisment. In this thesis, I analyze traditional storytelling, visual storytelling, and short-form visual storytelling in order to uncover the best practices advertisers should use when crafting a digital advertisement.
Storytelling “reveals elements and images of a story while also catalyzing the imagination of the listener” (National Storytelling Network, 2017). This tradition has two purposes for society: a neurological structure, and a social mechanism (for historic preservation, human interaction, and a vehicle for connecting with others) (Gottshcall, 2012; Scott, 2012; Paul, 2012; Woodside, 2008).
Visual Storytelling is “using photography, illustration, video, (usually with a musical enhancement) to guide” the human brain along a plotline, and has an unlimited timeframe (Ron, 2017). There are seven key elements to effective visual storytelling: A listener/audience, an element of realism coupled with escapism, a focus on the dread of life, an element of the unknown, emotion, simplicity, and a three-part plot structure (Andrews, 2010; ProQuest, 2012; Zak, 2014; Stanton, 2014; Reagan, 2016; Jarvis, 2014; Petrick, 2014)
In the words of Sholmi Ron, from a marketing perspective, “Visual [short hand] Storytelling is a marketing strategy that communicates powerful ideas through a compelling story arc, with your customer at the heart of the story, and delivered through interactive and immersive visual media – in order to create profitable customer engagements" (Ron, 2017). This advertising strategy has four best practices: non-obvious logo placement, a comedic emotion, multiple emotional arcs, and a relevant message (Golan, 2017; Teixeira, 2015; Graves, 2017, Teixeira, 2017). These are important to understand because, in 2017, online consumers can be described as skeptical, conscious of content, individualistic, and drawn to authenticity (Teixeira, 2014).
To supplement my findings, I conducted primary research by analyzing the 2017 Super Bowl videos against a criteria created using the best practices previously identified (in Part 1 and Part 2). Through the data collection of the 66 videos, I uncovered the most popular plotline is "fall than rise," the most popular emotions are humor, inspiration, and empathy and people tend to have a preference towards videos that are more realistic and simplistic in nature.
In the end, I recommend that advertisers identify an authentic yet relevant message, while employing a comedic, inspirational, or empathic tone, and that they place their ads exclusively for their target market. Additionally, producers should use a fall then rise plotline (with multiple mini plot peaks and valleys), a "logo-pulsing" strategy, and a minimal amount of characters and settings to keep the audience's focus on the ad’s message.
My thesis aims to uncover the ultimate strategy behind short form visual stories, otherwise known as the digital advertisment. In this thesis, I analyze traditional storytelling, visual storytelling, and short-form visual storytelling in order to uncover the best practices advertisers should use when crafting a digital advertisement.
Storytelling “reveals elements and images of a story while also catalyzing the imagination of the listener” (National Storytelling Network, 2017). This tradition has two purposes for society: a neurological structure, and a social mechanism (for historic preservation, human interaction, and a vehicle for connecting with others) (Gottshcall, 2012; Scott, 2012; Paul, 2012; Woodside, 2008).
Visual Storytelling is “using photography, illustration, video, (usually with a musical enhancement) to guide” the human brain along a plotline, and has an unlimited timeframe (Ron, 2017). There are seven key elements to effective visual storytelling: A listener/audience, an element of realism coupled with escapism, a focus on the dread of life, an element of the unknown, emotion, simplicity, and a three-part plot structure (Andrews, 2010; ProQuest, 2012; Zak, 2014; Stanton, 2014; Reagan, 2016; Jarvis, 2014; Petrick, 2014)
In the words of Sholmi Ron, from a marketing perspective, “Visual [short hand] Storytelling is a marketing strategy that communicates powerful ideas through a compelling story arc, with your customer at the heart of the story, and delivered through interactive and immersive visual media – in order to create profitable customer engagements" (Ron, 2017). This advertising strategy has four best practices: non-obvious logo placement, a comedic emotion, multiple emotional arcs, and a relevant message (Golan, 2017; Teixeira, 2015; Graves, 2017, Teixeira, 2017). These are important to understand because, in 2017, online consumers can be described as skeptical, conscious of content, individualistic, and drawn to authenticity (Teixeira, 2014).
To supplement my findings, I conducted primary research by analyzing the 2017 Super Bowl videos against a criteria created using the best practices previously identified (in Part 1 and Part 2). Through the data collection of the 66 videos, I uncovered the most popular plotline is "fall than rise," the most popular emotions are humor, inspiration, and empathy and people tend to have a preference towards videos that are more realistic and simplistic in nature.
In the end, I recommend that advertisers identify an authentic yet relevant message, while employing a comedic, inspirational, or empathic tone, and that they place their ads exclusively for their target market. Additionally, producers should use a fall then rise plotline (with multiple mini plot peaks and valleys), a "logo-pulsing" strategy, and a minimal amount of characters and settings to keep the audience's focus on the ad’s message.
ContributorsBosmeny, Mackenzie Lauren (Author) / Ostrom, Amy (Thesis director) / Montoya, Detra (Committee member) / Department of Marketing (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
In recent years, artificial intelligence (AI) has become an increasingly important resource for individuals and corporations. In the health care industry, there is a growing demand for AI and related technologies to assist in everything from surgery to janitorial duties. While there is the usual skepticism surrounding AI, it is important to understand how it works, its benefits, and its risk. Medically speaking, AI has the potential to aid physicians in diagnosis and treatment recommendations. The technology, however, presents issues surrounding data privacy as well as embedded biases in the algorithms used for intelligent systems. Mitigating these potential risks will be important to the successful implementation of AI in a health care setting. As artificial intelligence becomes more prominent in this space, there is a valid fear that it will result in severe job displacement and force many people out of their fields. This transition towards a more automated hospital will require many medical personnel to learn new skills and move towards jobs that require a more significant amount of empathy to thrive in the new economy. For decades, people have been worried about the effects of more automation and machinery, but we have seen that where some jobs are replaced with technology, other jobs are created. The findings of this thesis show that while AI is likely to replace some human workers, there is minimal reason to worry about complete job displacement in the near future. Long-term, the significance of AI in job replacement is more of an unknown. However, with knowledge about how artificial intelligence could be impacting us now, patients, physicians, and hospitals can better prepare and understand the impact that AI will have on each of them specifically.
ContributorsMcSpadden, Lana (Author) / Simon, Alan (Thesis director) / Ostrom, Amy (Committee member) / Barrett, The Honors College (Contributor) / Business Data Analytics (Contributor)
Created2022-05