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In 2016, in the United States alone, the cosmetics industry made an estimated 62.46 billion dollars in revenue (Revenue of the Cosmetic Industry in the U.S. 2002-2016 | Forecast). With a consistent increase in sales in the last several years, the industry has reached continued success even during times of hardship, such as the Great Recession of 2008. The use of Corporate Social Responsibility (CSR), external campaigns, and thoughtful packaging and ingredients resonates with targeted consumers. This has served as an effective strategy to maintain growth in the industry. Cosmetic companies promote their brand image using these sustainability tactics, but there seems to be a lack of transparency in this unregulated industry. The purpose of this thesis is to determine if the cosmetics industry is a good steward of the sustainability movement. Important terms and concepts relating to the industry will be discussed, then an analysis of sustainability focused cosmetic brands will be provided, which highlights the extent to which these brands engage in activities that promote sustainability. This is followed by an application of findings to a company that could benefit from using such practices. Overall, the analysis of the different brands proved to be shocking and disappointing. This is due to the sheer amount that scored very poorly based on the sustainability criteria developed. The cosmetics industry is too inconsistent and too unregulated to truly act as a good steward for sustainability. Though some companies in the industry succeed, these accomplishments are not consistent across all cosmetic companies. Hence, the cosmetics industry as a good steward for sustainability can only be as strong as its weakest link.
ContributorsMamus, Sydney Wasescha (Author) / Ostrom, Amy (Thesis director) / Kristofferson, Kirk (Committee member) / Department of Marketing (Contributor) / W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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
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