Matching Items (37)
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- All Subjects: Entrepreneurship
- All Subjects: Data Analytics
- Creators: Department of Information Systems
- Member of: Theses and Dissertations
- Status: Published
Description
For our collaborative thesis we explored the US electric utility market and how the Internet of Things technology movement could capture a possible advancement of the current existing grid. Our objective of this project was to successfully understand the market trends in the utility space and identify where a semiconductor manufacturing company, with a focus on IoT technology, could penetrate the market using their products. The methodology used for our research was to conduct industry interviews to formulate common trends in the utility and industrial hardware manufacturer industries. From there, we composed various strategies that The Company should explore. These strategies were backed up using qualitative reasoning and forecasted discounted cash flow and net present value analysis. We confirmed that The Company should use specific silicon microprocessors and microcontrollers that pertained to each of the four devices analytics demand. Along with a silicon strategy, our group believes that there is a strong argument for a data analytics software package by forming strategic partnerships in this space.
ContributorsLlazani, Loris (Co-author) / Ruland, Matthew (Co-author) / Medl, Jordan (Co-author) / Crowe, David (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Mike (Committee member) / Department of Economics (Contributor) / Department of Finance (Contributor) / Department of Supply Chain Management (Contributor) / Department of Information Systems (Contributor) / Hugh Downs School of Human Communication (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
SparkLED designs innovative and intelligent LED products to concert attendees for the music industry (specifically, electronic dance music). Unlike other LED product distributors/manufacturers, such as emazinglights.com, orbitlightshow.com, and led-clothing.com, we offer products with higher degrees of customization, while maintaining higher quality, such as battery life and product durability. Our venture aims to solve the problem that consumers have with current LED product offerings. In most cases, consumers have a problem with the quality of their products while they are used throughout the day at a concert, club, or festival. In addition, with an over saturated market of LED product vendors that strictly utilize online channels, we hope to offer the physical channel needed to foster customer relationships and development at various events.
ContributorsYip, Indy Boyin (Author) / Trappen, Eric (Thesis director) / Peck, Sidnee (Committee member) / Barrett, The Honors College (Contributor) / Department of Management (Contributor) / Department of Information Systems (Contributor)
Created2014-05
Description
The "Dutch Dukeout" is a memorial, community engagement venture founded by Scott Fitzgerald and Sam Minton. The event was also supported and facilitated through the help of a third party member, Dylan Bryant. The "Dutch Dukeout" will continue annually, as an opportunity for Brophy College Preparatory alumni and current students to come together and connect. This venture also exists to celebrate and honor the life and legacy of Fr. Harry "Dutch" Olivier, a former, prominent faculty member of Brophy. Additionally, the "Dutch Dukeout" aims to raise money to support the Brophy Scholarship Foundation, a resource for current Brophy students to offset the financial burden it costs to attend the prominent college preparatory. Foremost, the "Dutch Dukeout" flag football tournament provides a powerful way for Brophy Alumni to reconnect with their school. By communicating and participating with graduates from various classes, alumni have an opportunity to provide valuable life lessons and share personal stories with the youth, as well as bond over their shared experience at Brophy. For a school that is able to continually develop community leaders and social activists, the "Dutch Dukeout" provides a platform for collaboration and inspiration for everyone who participates. By raising money to support the Brophy Scholarship Foundation and providing an opportunity for alumni to engage in their community, the "Dutch Dukeout" is an event that truly embodies Fr. Olivier's values and beliefs. This thesis report documents the ideas, work and efforts that were completed to launch and then ensure the success and longevity of the venture. It also serves as an example for future social entrepreneurs who aim to make a difference in communities of their own.
ContributorsFitzgerald, Scott (Co-author) / Samuel, Minton (Co-author) / Mokwa, Michael (Thesis director) / Eaton, John (Committee member) / Department of Information Systems (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
The goal of this project is to gain market research insight into the handcrafted goods industry and apply this knowledge towards a business plan for a small crafts business: Creations by Songbird. We accomplish this goal by conducting primary and secondary research on the crafts selling industry to see who the target customer is and what their habits are. First, we conduct a literature review looking into the background of some known crafts sales platforms. We discover several consistent trends in product differentiation, retail price calculation, and search engine optimization that we will apply to our business plan. Next, we conduct primary market research in the form of observations, customer and business owner interviews, and surveys. We learn that Instagram is a widely used marketing tool and that Etsy and crafts shows are popular sales channels. Using the results of our research we conclude that the our target customers are women ages 18-24 and 50-59 who attend crafts shows several times per year and occasionally browse Etsy. Many of these women enjoy objects that are vintage style and on average they spend less than $50 per item. Applying the industry and market knowledge gleaned from our research we create a business plan that outlines a price/cost breakdown, marketing plan, and sales plan for Creations by Songbird. We plan to utilize Instagram as our main marketing tool and will sell records via crafts shows and Etsy. Based on our estimates, we conclude that Creations by Songbird will be a profitable business.
ContributorsWood, Sara (Co-author) / Ehmann, Victoria (Co-author) / Gray, Nancy (Thesis director) / Trujillo, Rhett (Committee member) / Department of Supply Chain Management (Contributor) / Department of Information Systems (Contributor) / W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
This paper is rooted in the field of business, with an emphasis on entrepreneurship in the fashion industry. The questions we tried to answer were the following: What are factors of success for current fashion brands? What is important to our target market when shopping? How can we deliver these attributes to our target market? How can we use our findings to create a fashion brand? First, we conducted in-depth external analysis about existing retailers including, Forever 21, Zara and Brandy Melville. After doing so, we created brand molecules and learned about other people's perceptions in relation to these existing brands. Next, using our own qualitative and quantitative research, we sought to understand the many gaps in the overall shopping experience for college students and young working professionals. Our research revealed many common themes and trends that we will integrate into our proposed business plan in efforts to fill the gaps. Through our data analysis, common trends included how our demographic learns about new fashion trends, statement pieces versus mix-and-match basics, online shopping versus in-store shopping, price sensitivity of our target market, and lastly, the quality of customer service and the store's return policy. After our extensive research and data analysis, we began to construct our brand. We propose a new business model that targets our fashion-forward consumer with a memorable shopping experience that delivers high-quality and trendiness to their wardrobe. Using the elements and trends we identified, combined with our own vision, we combined them into one brand, The Capsule Collection. ur brand will feature high-quality, reasonably priced basics ranging from everyday casual to business casual. We will have store locations in cities where there are many young working professionals, and target them through social media advertising. Our store will feature an open layout with clean and minimalistic displays, keeping everything in neutral tones and accented with plants. The goal of The Capsule Collection is to make shopping as easy and exciting as possible, and focus entirely on the customer's experience.
ContributorsMeyyappan, Rathna (Co-author) / Aggarwal, Payal (Co-author) / Gray, Nancy (Thesis director) / Samper, Adriana (Committee member) / Department of Marketing (Contributor) / Department of Information Systems (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
The restaurant opening process for "Muse & Market" was documented and evaluated. For my creative project, I served as the Director of Business Development for "Muse & Market" and assisted in the carrying out of activities including supplier selection, functional retail assembly and other key decision making. I paralleled this experience by researching best practices in the restaurant industry. I performed research by reviewing academic literature and online sources and by interviewing marketing managers and restauranteurs in New York City and Phoenix, AZ. I compiled a list of best practices based off of the commonalities from my research and interviews. I then compared these findings to what I experienced at Muse & Market to determine which of Muse & Market's launch preparation activities aligned with which best practices. I also identified areas of improvement for Muse & Market based on this comparison. Lastly I offered my key takeaways from my experience as an aspiring entrepreneur in the restaurant industry.
ContributorsHyland, Ashley Lauren (Author) / Manfredo, Mark (Thesis director) / Davila, Eddie (Committee member) / Morrison School of Agribusiness (Contributor) / Department of Information Systems (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
Predictive analytics have been used in a wide variety of settings, including healthcare,
sports, banking, and other disciplines. We use predictive analytics and modeling to
determine the impact of certain factors that increase the probability of a successful
fourth down conversion in the Power 5 conferences. The logistic regression models
predict the likelihood of going for fourth down with a 64% or more probability based on
2015-17 data obtained from ESPN’s college football API. Offense type though important
but non-measurable was incorporated as a random effect. We found that distance to go,
play type, field position, and week of the season were key leading covariates in
predictability. On average, our model performed as much as 14% better than coaches
in 2018.
sports, banking, and other disciplines. We use predictive analytics and modeling to
determine the impact of certain factors that increase the probability of a successful
fourth down conversion in the Power 5 conferences. The logistic regression models
predict the likelihood of going for fourth down with a 64% or more probability based on
2015-17 data obtained from ESPN’s college football API. Offense type though important
but non-measurable was incorporated as a random effect. We found that distance to go,
play type, field position, and week of the season were key leading covariates in
predictability. On average, our model performed as much as 14% better than coaches
in 2018.
ContributorsBlinkoff, Joshua Ian (Co-author) / Voeller, Michael (Co-author) / Wilson, Jeffrey (Thesis director) / Graham, Scottie (Committee member) / Dean, W.P. Carey School of Business (Contributor) / Department of Information Systems (Contributor) / Department of Management and Entrepreneurship (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Predictive analytics have been used in a wide variety of settings, including healthcare, sports, banking, and other disciplines. We use predictive analytics and modeling to determine the impact of certain factors that increase the probability of a successful fourth down conversion in the Power 5 conferences. The logistic regression models predict the likelihood of going for fourth down with a 64% or more probability based on 2015-17 data obtained from ESPN’s college football API. Offense type though important but non-measurable was incorporated as a random effect. We found that distance to go, play type, field position, and week of the season were key leading covariates in predictability. On average, our model performed as much as 14% better than coaches in 2018.
ContributorsVoeller, Michael Jeffrey (Co-author) / Blinkoff, Josh (Co-author) / Wilson, Jeffrey (Thesis director) / Graham, Scottie (Committee member) / Department of Information Systems (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
The objective of this project was the creation of a web app for undergraduate CIS/BDA students which allows them to search for jobs based on criteria that are not always directly available with the average job search engine. This includes technical skills, soft skills, location and industry. This creates a more focused way for these students to search for jobs using an application that also attempts to exclude positions that are looking for very experienced employees. The activities used for this project were chosen in attempt to make as many of the processes as automatable as possible.
This was achieved by first using offline explorer, an application that can download websites, to gather job postings from Dice.com that were searched by a pre-defined list of technical skills. Next came the parsing of the downloaded postings to extract and clean the data that was required and filling a database with that cleaned data. Then the companies were matched up with their corresponding industries. This was done using their NAICS (North American Industry Classification System) codes. The descriptions were then analyzed, and a group of soft skills was chosen based on the results of Word2Vec (a group of models that assists in creating word embeddings). A master table was then created by combining all of the tables in the database. The master table was then filtered down to exclude posts that required too much experience. Lastly, the web app was created using node.js as the back-end. This web app allows the user to choose their desired criteria and navigate through the postings that meet their criteria.
This was achieved by first using offline explorer, an application that can download websites, to gather job postings from Dice.com that were searched by a pre-defined list of technical skills. Next came the parsing of the downloaded postings to extract and clean the data that was required and filling a database with that cleaned data. Then the companies were matched up with their corresponding industries. This was done using their NAICS (North American Industry Classification System) codes. The descriptions were then analyzed, and a group of soft skills was chosen based on the results of Word2Vec (a group of models that assists in creating word embeddings). A master table was then created by combining all of the tables in the database. The master table was then filtered down to exclude posts that required too much experience. Lastly, the web app was created using node.js as the back-end. This web app allows the user to choose their desired criteria and navigate through the postings that meet their criteria.
ContributorsHenry, Alfred (Author) / Darcy, David (Thesis director) / Moser, Kathleen (Committee member) / Department of Information Systems (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
This paper explores the ability to predict yields of soybeans based on genetics and environmental factors. Based on the biology of soybeans, it has been shown that yields are best when soybeans grow within a certain temperature range. The event a soybean is exposed to temperature outside their accepted range is labeled as an instance of stress. Currently, there are few models that use genetic information to predict how crops may respond to stress. Using data provided by an agricultural business, a model was developed that can categorically label soybean varieties by their yield response to stress using genetic data. The model clusters varieties based on their yield production in response to stress. The clustering criteria is based on variance distribution and correlation. A logistic regression is then fitted to identify significant gene markers in varieties with minimal yield variance. Such characteristics provide a probabilistic outlook of how certain varieties will perform when planted in different regions. Given changing global climate conditions, this model demonstrates the potential of using data to efficiently develop and grow crops adjusted to climate changes.
ContributorsDean, Arlen (Co-author) / Ozcan, Ozkan (Co-author) / Travis, Daniel (Co-author) / Gel, Esma (Thesis director) / Armbruster, Dieter (Committee member) / Parry, Sam (Committee member) / Industrial, Systems and Operations Engineering Program (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05