Business Analytics Commons^™

Financial Consulting Internship In Valencia: Alternative Investments And Ai, Mason Sidney Rike

Finance Undergraduate Honors Theses

During the summer before my senior year, I had the opportunity to work as a research analyst in the finance department of TuaTeam, a financial and strategic consulting firm in Valencia, Spain. TuaTeam is a relatively new firm that serves its clients in a wide range of areas, from strategic restructuring and business model development to finding funding for future projects and identifying/evaluating potential investment opportunities. TuaTeam also works closely with communities around Spain to foster innovation and development among youth and professionals seeking to gain experience in new trends in technology and cultural enrichment. The company currently holds classes …

Spatiotemporal Negative Inventory Outlier Decomposition For Supply Chain Applications In Consumer-Packaged Goods (Cpg), Hayden Mcdonald

Data Science Undergraduate Honors Theses

Coca-Cola is a popular soft drink brand with sales occurring in every Walmart store across the world, which generates large quantities of data and requires a robust supply chain system. However, the company does not currently have a sophisticated, automated, and/or prescriptive system for detecting where, when, and why inventory outages occur and applying preventative measures to avoid loss of revenue from the absence of inventory on store shelves. This thesis proposes and applies a novel, prescriptive system for this purpose. An inventory outage can be seen as a ‘negative’ statistical outlier in a time series of inventory for an …

The Importance Of Data Preparation In A Data Science Problem, Sophia Beard

Data Science Undergraduate Honors Theses

This study is going to be based on an inventory outlier automation data science problem that is being solved to identify and prescribe inventory level outliers to help keep shelves stocked in terms of beverages. The objective of this paper will address why it is so important to understand the data that is involved in a particular data science problem and how planning ahead ensures a successful outcome in the data science world. In this data science project, Spatiotemporal Outlier Analysis for Inventory Intervention Automation, it was crucial for the team to understand, research, and visualize the data we were …

The Importance Of Text Representation For Neural Networks Through Natural Language Processing Techniques, William Parsley

Data Science Undergraduate Honors Theses

Text representation is a fundamental aspect of natural language processing (NLP) when it comes to the performance of neural networks. Free-form text fields are being utilized in more and more industries. Anything from a description of an item on a web store to tracking service events to military-grade aircraft is being collected in free-form text. The goal of the thesis is to highlight best practices and discuss trends in data to prepare text for a neural network. It will demonstrate various techniques for representing free-form text in the context of neural networks, focusing on data preparation decisions, embedding techniques, and …

Examining The Impact Of Customer Rfp Characteristics On Award Compliance, Laasya Ravipati

Data Science Undergraduate Honors Theses

In the context of intermodal transportation, understanding the dynamics of award compliance holds significant importance for operational efficiency and strategic decision-making. Award compliance refers to the percentage of awarded freight volume that is realized, indicating the extent to which contractual agreements are fulfilled. This analysis delves into the intricate relationship between customer characteristics and award compliance, aiming to provide valuable insights into the variability and predictability of compliance rates. By analyzing Request for Pricing (RFP) data and primary awarded freight volumes, the study seeks to address the need for more accurate volume estimations, crucial for sales planning, revenue projections, and …

Examining Award Compliance To Inform Resource Allocation, Jacob Haarala

Data Science Undergraduate Honors Theses

This project focuses on JB Hunt Transport Inc's intermodal business unit (JBI) by focusing on the challenges associated with Published Pricing and Contractual Pricing. The primary issue revolves around the variance between the awarded freight volumes in Requests for Pricing (RFPs) and the actual volumes realized when the freight is shipped. This discrepancy poses challenges for effective sales planning, revenue goals, and optimal freight network management within JBI. Reporting tools, such as PowerBI, are currently used by JBI to provide insights into award compliance on a weekly basis. However, our goal with this project was to provide a deeper understanding …

Lockheed Martin Strategic Audit, Trevor Deboer, Gunnar Lombard, Sam Nelson, Tj Taylor, Paul Wynegar

Honors Program: Senior Projects (Public)

Abstract

This case study explores Lockheed Martin, a global leader in defense contracting. Our team performed a strategic audit using the theories of strategic management. Our research was pulled from various sources, including Lockheed Martin’s website, SEC filings, related news articles, and relevant industry analysis. The goals of this case study revolved around collecting data and performing analysis to evaluate Lockheed Martin’s potential for competitive advantage in the airplane and parts manufacturing industry.

Some of the various analyses performed on Lockheed Martin include firm analysis, industry analysis, internal analysis, external analysis, competitive dynamics, business-level strategy, corporate-level strategy, and exploring their …

Spotify: A Strategic Analysis Of A Digital Music Streaming Industry Leader, Madison Giacomo

Honors Program: Senior Projects (Public)

Spotify (Spotify Technology S.A) is a digital music streaming platform headquartered in Stockholm, Sweden. Offering music, podcasts, and audiobooks, Spotify is the leading digital music streaming platform with over 30% of the market share. Spotify bases their business model on user growth and experience, content acquisition and expansion, monetization, and partnerships and collaborations. Spotify’s main focus is to differentiate themselves through a personalized user experience, offering music and podcast recommendations based on listening history. This analysis looks to understand Spotify’s growth and business strategy within a competitive industry, through the use of a PESTEL analysis, Porter’s Five Forces Analysis, evaluating …

Impact Of Seasonality On Demand Forecasting Techniques For Small-Scale Food Retailers, Indu Sree Guturu

Electronic Theses, Projects, and Dissertations

This study explores the impact of seasonality on SKU (Stock Keeping Unit) demand forecasting in small-scale food retailers through the analysis of historical sales data, focusing on four key products, labelled: Product A, Product B, Product C & Product D. The research aims to assess the accuracy of different forecasting models in capturing seasonal fluctuations. The research questions are: (Q1) What is the impact of seasonality on SKU demand forecasting in case of small-scale food retailers. (Q2) How does the efficacy of Traditional model compare to alternative technologically driven forecasting techniques? (Q3) To what extent can the impact of seasonality …

An Exploration Of Synergy Evaluation Application Model To Support Implementation On Merger And Acquisition, Jieping Mei

Electronic Theses, Projects, and Dissertations

ABSTRACT

The project focuses on a comprehensive system’s analysis and design of the front-end of the Synergy Evaluation Application Model (SEAM) system for mergers and acquisitions (M&As). The research questions asked are: Q1. How did the SEAM system incorporate the system requirements and design that incorporated the strategic goals and priorities of both the acquirer and the acquiree? Q2. What data sources will the SEAM system rely on, and how does it overcome data integration, automation, visualization challenges? Q3. How will the model identify build in potential synergies, both quantitative and qualitative? The research questions were analyzed through the SEAM …

Effectiveness Of Cnn-Lstm Models Used For Apple Stock Forecasting, Ethan White

Electronic Theses, Projects, and Dissertations

This culminating experience project investigates the effectiveness of convolutional neural networks mixed with long short-term memory (CNN-LSTM) models, and an ensemble method, extreme gradient boosting (XGBoost), in predicting closing stock prices. This quantitative analysis utilizes recent AAPL stock data from the NASDAQ index. The chosen research questions (RQs) are: RQ1. What are the optimal hyperparameters for CNN-LSTM models in stock price forecasting? RQ2. What is the best architecture for CNN-LSTM models in this context? RQ3. How can ensemble techniques like XGBoost effectively enhance the predictions of CNN-LSTM models for stock price forecasting?

The research questions were answered through a thorough …

Data-Driven Forecasting For Effective Demand Management In The E-Commerce Ecosystem, Chirag Pandey

Electronic Theses, Projects, and Dissertations

This culmination project investigated and analyzed the impact of factors influencing sales forecasting models in the e-commerce ecosystem. The research questions are: Q1) To what extent are sales forecasting models in the e-commerce ecosystems influenced by customer demographic variables such as gender, age, and geographic locations? Q2) To what extent are sales forecasting models in the e-commerce ecosystems influenced by product specific factors? The datasets used were from Kaggle, and the Worldometer websites. The findings are: Q1) Individuals aged '55 or over' significantly impact total sales in both the USA and Brazil. Male consumers consistently accounted for a higher proportion …

Association Between Food Insecurity And Chronic Health Condition Among Adults (18 To 48), Prasanth Reddy Guda

Electronic Theses, Projects, and Dissertations

Uncertainty or limited access to safe food, known as food insecurity, can affect the health and healthcare needs of individuals with several chronic conditions. During 2022, 12.8 percentage (around 17.0 million) of households in the United States experienced food insecurity. The main objective of this study was to examine the Association between food insecurity and chronic health conditions adults. We collected data from NHIS 2022 sample Adults’ Interview (The National Health Interview Survey). The research question asked are: (Q1) Are there certain long term health issues that are more common among adults facing food insecurity age in between the ages …

Has Electricity Deregulation Eliminated The Nuclear Option?: Rethinking The Coasian Ios For Project-Finance Investments, Stephen Dansky

Theses and Dissertations

Installed electric generation capacity in the United States is expected to grow significantly over the next two decades. This raises concern about climate change as several common methods of electricity generation emit greenhouse gases. Nuclear power, which doesn’t create greenhouse gases while generating electricity, has been heavily promoted by the nuclear industry and a segment of the environmental community ever since it was codified by the United Nation’s 26^th Climate Change Conference of the Parties as an acceptable energy source to fight climate change. However, this dissertation establishes that the increased revenue risk and uncertainty created by the deregulation …

Lululemon Strategic Audit, Tessa Mozingo, Olivia Eno, Molly Mitchell, Connor Morrissey, James Eshleman

Honors Program: Senior Projects (Public)

This case study focuses on lululemon, a prominent athleisure apparel company. Our team conducted an audit of the company revolving around strategic business management principles. Our research used publicly available information that included the company’s website, SEC filings, news articles, lululemon’s annual reports, financial statements, IBIS industry reports, and online sources. The goal of this strategic audit is to develop an understanding of lululemon’s business activities and strategies, collect and analyze both internal and external data, and evaluate lululemon based on strategic management concepts.

In this strategic audit, we conduct internal, external, performance, and competitive analyses and an examination of …

Implementing A Dairy Industry In Mauritius, Lainey Deitrick

Economics Undergraduate Honors Theses

Over the Summer, I interned at the University of Mauritius and the Ministry of Agro Industry and Food Security from May 18th to July 15th, 2022, researching issues with Mauritius’s food security and helping to create solutions to their economic problems. My project covered all Mauritius’s agricultural imports, but it had an emphasis on their dairy industry. While in Mauritius, I conducted research on food security among Mauritians, and a feasibility study on if residents would be open to drinking more fresh milk, which is a market the country is exploring to replace sugar cane. My data analysis will be …

Analyzing Information Diffusion In Social Media Networks, Amin Riazi

Masters Theses and Doctoral Dissertations

Social media is a dynamic platform where a wide range of information is shared, including both true and false content, and it involves interactions between human users and social bots. This study investigates information diffusion patterns on X (formerly Twitter) by analyzing retweet (repost) network topologies. The results reveal distinct behavioral patterns for humans and bots when spreading true and false information, highlighting the need for further examination of their roles in information dissemination. Moreover, this study tackles the challenge of differentiating between broadcast and viral information diffusion on X, acknowledging the possibility of genuine information also being potentially misleading. …

Effectiveness Of The Law School Admission Test, Sydney Snyder

Honors Projects

Examining the influence and effect of the LSAT on graduation and bar passage rates.

Examining Bgsu's Degree Audit And How To Make It More Effective, Ella Delzeith

Honors Projects

The purpose of this project is to better help students at BGSU schedule their classes throughout their four years while also making sure they are following along with their degree audit. Why are degree audits seen as confusing? Is there a better way to navigate the degree audit? How are students affected by an ineffective degree audit? Can a schedule be produced alongside the degree audit? Why is organization crucial in a degree audit? These are the guiding research questions for my project to help achieve my goal of creating a tool to help students navigate the degree audit in …

Applying The Consumer Decision-Making Model To An On-Campus Coffee Shop, Madalynne Chapman

Honors Projects

The purpose of this research was to use the consumer decision-making model as a framework to assess if there are factors that may prompt (or not prompt) an individual to make a purchase at Forhan’s Café, a small coffee shop located inside of the Maurer Center at Bowling Green State University. To answer this, both a personal interview with a BGSU Dining staff member and an online survey of campus consumers were conducted. The personal interview was conducted to understand their current marketing strategies for the café and to guide the survey design. The online survey consisted of 24 questions …