Matching Items (14)
Filtering by
- All Subjects: data
- Creators: Department of Information Systems
- Creators: Lowe, Jordan
- Member of: Barrett, The Honors College Thesis/Creative Project Collection
Description
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.
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
Description
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.
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
Description
This paper consists of a literature review, wherein four papers surrounding Motivation Crowding Theory (MCT) were read and analyzed. The paper then goes into an analysis of a survey I conducted. The survey consisted of three main questions with three sub-questions for each, and all attempted to find a "limit" to MCT. However, results for the survey were ultimately inconclusive. The paper concludes with lessons learned in conducting research and surveys in particular, as well as a nod to the relevancy of MCT in business and personal applications.
ContributorsSmith, Mallory Anne (Author) / Reckers, Phil (Thesis director) / Samuelson, Melissa (Committee member) / Lowe, Jordan (Committee member) / School of Accountancy (Contributor) / Department of Information Systems (Contributor) / WPC Graduate Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
Through findings from interviews, a survey, and personally learning automation software we think automation will continue to grow in the accounting industry in the coming years. Accountants see software as something that makes them more efficient and firms are doing a good job training their employees on how to use these new software tools. Our interviewed accountants say that automation saves them time that can be used to work on other things. By learning Alteryx, an automation tool, we saw these time savings firsthand.
ContributorsDiNuto, Michael (Author) / Shillingburg, Alec (Co-author) / Dawson, Greg (Thesis director) / Garverick, Michael (Committee member) / Barrett, The Honors College (Contributor) / School of Accountancy (Contributor) / Department of Information Systems (Contributor)
Created2022-05