Panel 1: Consumer Trends, Presentations and Q&A, Room 3202


Alyse Wilson, "Coronavirus Shopping Trends"

My research will look at how the Covid-19 Pandemic has affected college student’s opinions of online shopping versus in person shopping and if this has had any effect on shopping rates in the United States in people aged 18 to 24. I will argue that since the start of the Coronavirus pandemic, there has been an increase of online shopping by college students aged 18 to 24. I will also argue that college students' opinions of online shopping have been impacted throughout the pandemic. Furthermore, I will show that there is a correlation in the opinions of college students and the increased revenue shown by major companies who sell online goods across the United States. By determining the shopping habits and opinions of college students, companies can have a better understanding of how to market to that age demographic. In addition, knowing how and where college students are more likely to spend their money allows companies to use their resources in ways that will yield the most revenue. I will be answering this question by surveying college students, looking at quarterly reports from major companies that have online sales and seeing how their data has changed during the pandemic, and reading peer-reviewed articles related to the topic. Because there is a lack of research published on the topic due to the short time frame of the Coronavirus Pandemic, I will also need to analyze research from before the spring of 2020. Many economists and business analysts have been looking at and continue to analyze how the expansion of online shopping has affected sales in major companies. By taking advantage of pre-pandemic research and analyzing data from quarterly sales in major companies in the United States, I hope to show the importance of understanding how the pandemic has affected the opinions of such a large demographic and that data concerning this alteration can be used to positively impact the profits of major companies.

Alyse Wilson studies pre-business, history, and conflict management at the University of North Carolina at Chapel Hill. Her interests include operations management, marketing management, and retail operations. 

Zixuan Wu, "How Can Apple Do That? How Apple Innovates"

Apple Company revolutionizes people’s ideas about electronic products. It contributes to revolution on computers and phones, developing more user-friendly products. Apple is not only able to produce new, welcoming products, but it is also updating its existing products continuously and rapidly. For now, Apple would hold an event at least once a year to introduce new products or versions to people. Both the revolutionary ideas and the rapid speed reflect Apple’s great innovation capability. Yet how does Apple do that? Why is Apple able to innovate continuously and greatly? These questions are interesting and meaningful to explore for business entrepreneurs or Apple’s fans or, simply, Apple users. Apple’s innovation success can be explained by many complex factors, and my research will only focus on three of them. Therefore, the question is “what are the three factors contributing to Apple’s strong innovation capability?” To explore the answer, the research goes through authoritative books and articles talking about Apple’s innovation. They involve Apple’s inner structures, management modes, executives’ biographies, and so on. From those resources, I found three key factors contributing to Apple’s innovation as my final result: Apple’s company values, Apple’s managing structure, and Apple’s leader. How Apple does in these three aspects can be a model for other companies to learn. Although it is almost impossible to produce a second “Apple”, knowing how Apple is able to “make miracles” can benefit not only leaders managing their companies but also anyone hoping to make some difference in their life.  

Zixuan Wu is a freshman majoring in Public Policy. She is interested in education policy and foreign policy. She also has passion towards economics, business, psychology, and literature. She loves interdisciplinary approach and would like to use it in her daily study and research. 

 Colleen Dongarra, "The Quick Rise and Ungraceful Fall of Ultra-processed Foods"   

David Bass, "Machine Learning and Neural Networks: Analyzing the Determinants of Cryptocurrency Price"

As blockchain technology has entered the digital arena of the 21st century, cryptocurrencies emerged as an unprecedented form of investing through the means of purely digital assets, and can provide investors with high returns in spite of high risks, with significantly more profits than typical stock investing. While the potential returns are great, the consequences can be extremely detrimental, as investors across the world lose millions of dollars in the market due to the unpredictably volatile nature of cryptocurrencies. My project will be focusing on harnessing the power of data to mitigate those risks by conducting a time series statistical analysis of coin metrics and their corresponding coins’ market data to determine which of those metrics are most significant for influencing price trends.