Business Analytics Commons^™

What Impact Did The Tcja Tax Cuts Have On The Manufacturing Sector?, Ryan Parker

Accounting Undergraduate Honors Theses

Throughout this paper I will examine positive effects the Tax Cuts and Jobs Act of 2017 had on the manufacturing sector. To do this I begin by outlining the key provisions in the TCJA that directly benefit the manufacturing sector. This includes the corporate tax rate reduction from 35 percent to 21 percent, the changes to the repatriation tax for foreign funds, and the treatment for capital assets. I then analyze key metrics including pre-tax income, income tax provision, dividends, changes in retained earnings, and spending on property plant and equipment. I will show the interactions between the increase in …

The Effects Of Short-Term Rentals On Communities And How To Legislate Them: An Expanded Literary Review, William Cherry

Finance Undergraduate Honors Theses

A literary review of the economic and socioeconomic effects of short-term rental properties, specifically the commercialization of the industry based upon other research studies. An in-depth look at how commercialized short-term rentals effect the younger generation, hospitality industry, housing market, communities they reside in, and other externalities. A further review of different legal case studies of short-term rental legislation in major cities across the globe and their varying degrees of effectiveness.

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 …

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. …

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 …

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 …

Exploring Entrepreneurial Intention And Subjective Beliefs: A Comparative Analysis Of General Education Schools And Commercial Schools, Julia Riess, Bettina Fuhrmann, Gerhard Geissler

International Journal for Business Education

This study examines the entrepreneurial intentions of Austrian secondary school students, specifically comparing students from commercial schools with those from general education schools. We analyzed 2,329 data sets and found that subjective beliefs, primarily behavioral and control beliefs, significantly influence entrepreneurial intentions. In addition, demographic factors such as gender, language, acquaintance with entrepreneurs, and school type play a significant role in explaining the variance in entrepreneurial intentions.

Our detailed analysis shows that students from commercial schools have stronger entrepreneurial intentions and subjective beliefs. Particularly notable are the differences in behavioral beliefs, where students from commercial schools find all aspects of …

The Effect Of Massage Therapy On Test Anxiety Experienced By Traditional-Aged Undergraduate Business Students, Jorge A. Pazmiño

Graduate Theses, Dissertations, and Capstones

Test anxiety impacts traditional-aged undergraduate business students and influences their academic performance and overall well-being. This study explored the efficacy of massage therapy (MT) as a means of mitigating test anxiety within this demographic. Building on existing literature that addresses the consequences of anxiety and alternative coping mechanisms, this research study focused on MT as a potential strategy for test anxiety management. The study employed the Adult Manifest Anxiety Scale–College Version (AMAS-C) to gather data from participants at a private liberal arts institution in the East South-Central region of the United States. An experimental group received an MT intervention, while …

From Space To Ground Zero: The Application Of Geographic Information Systems And Rocket Cargo Transportation To Disaster Management Operations, Sarah Stout

Senior Honors Theses

This paper provides an overview of the application of space-based technologies, specifically Geographic Information Systems (GIS) technology and rocket cargo launches, to disaster management operations. GIS links data from satellites, remote sensing, and other sources to dashboards, allowing relief teams to monitor relevant demographic, environmental, and disaster details. This information supports multiple aspects of planning and decision-making in the preparedness, response, and relief stages of the disaster management cycle. Rocket cargo transportation, an emerging method of shipping supplies, will allow for supplies to be shipped anywhere in the world in under twenty-four hours. This can be used in a future …

Meme Stocks, Robinhood, And Wall Street: Retail Investors And Changing Market Dynamics, Nick Murray, Spencer Brosnan

Senior Theses

This thesis explores the rise of retail investors in the wake of the COVID-19 pandemic, and how they have changed the landscape of financial markets. We outline the full timeline of the GME and AMC social media craze that exemplified the power of retail investors in the market and investigate the impact the COVID-19 pandemic had on this group. Through the use of VandaTrack, a software that tracks retail investors’ trading activity, we were able to quantify the impact that retail investors have on US equities and ETFs and compare them to the market as a whole. We utilized this …

Drivertech Vehicle Monitoring System, Sarah Aldhafeeri, Fillip Cannard, Kaitlyn Ledon, Shea Spellman

Posters - 2024

DriverTech provides critical data to shipping companies about their fleets of vehicles and drivers. This is done through their vehicle monitoring system. Unfortunately, Windows 10 is reaching end of life, and DriverTech is looking for a new software solution.

Experts-Driven Design: A Framework For Measuring Social Influence In Online Social Networks, Shyamala N. Chalakudi, Dildar Hussain Dr., Gnana Bharathy Dr, Dakshinamurthy Kolluru Dr

AMTP Proceedings 2024

In our interconnected and ever-changing social landscape, influence is pivotal in molding individuals’ decisions, perspectives, and behaviors. Measuring Social Influence (SI) in Online Social Networks (OSNs) faces significant gaps, notably needing more integration with human behaviors. Our literature review has unveiled twelve psychological theories rooted in human behavior that are fundamental for assessing SI in OSNs. We have further elucidated how human behaviors interact in shaping the influence potential of social media users through exploratory interviews with experts from consulting, industry, and academia. Our study culminated in developing a novel framework designed to encompass the intricacies that not only nurture …

Leading Horses To Water During A Pandemic: Assuring Communication Learning For "Quants", Thomas Hall

International Journal for Business Education

Students who are attracted to quantitative disciplines of study can be reluctant to devote much attention to the important task of communicating, and previous research (Hostager, 2018) has identified statistically significant differences in learning approaches by major among undergraduate business students. This paper presents results of learning assurance for writing skills (direct measures) even when the content of the course relates to the highly quantitative topics of data analytics and finance. The approach combines various pedagogical methods in an undergraduate, writing-intensive setting: traditional testing but in an iterative framework, “flipped classroom” intensive work using spreadsheet software, repeated submission of brief …

Guinness Is The "Pumpkin Spice Latte" Of St. Patrick's Day, Jin-A Choi, Bond Benton, Yi Luo

College of Communication and Media Scholarship and Creative Works

This study by a team of faculty from the Joetta Di Bella and Fred C. Sautter III Center for Strategic Communication in the School of Communication and Media at Montclair State University shows that Guinness was the most-discussed brand on social media leading up to St. Patrick’s Day, and not just in the traditional ways people share how they drink the popular beer brand. The volume of social media conversations related to Guinness beer and St. Patrick’s Day saw a 25% increase. Most social chats exhibited a happy mood as evidenced by a 62% joyful sentiment.

While the Shamrock Shake …