Business Analytics Commons^™

Incorporating Media Coverage And The Impact Of Geopolitical Events For Stock Market Predictions With Machine Learning, Vinayaka Gude, Daniel Hsiao

Faculty Publications

This paper explores the impact of the Israel–Palestine conflict on the stock performance of U.S. companies and their public positions on the conflict. In an era where corporate positions on geopolitical issues are increasingly scrutinized, understanding the market implications of such statements is critical. This research aims to capture the complex, non-linear relationships between corporate actions, media coverage, and financial outcomes by integrating traditional statistical techniques with advanced machine learning models. To achieve this, we constructed a novel dataset combining public corporate announcements, media sentiment (including headline and article body tone), and philanthropic activities. Using both classification and regression models, …

A 360 Perspective About Corporate Finance, Braden C. Fancher

Finance Undergraduate Honors Theses

This thesis provides a comprehensive reflection on the author's experience in the “Finance 360” rotational internship program at Burns & McDonnell, a program designed to expose interns to the diverse functions within a corporate finance and accounting department. Over the course of 10 weeks, the author completed 12 different rotations, gaining hands-on experience across various financial disciplines. This paper highlights five rotations—Operational Financial Analysts, Financial Analytics, Internal Audit, Project Accounting, and Investments—that had the greatest impact on reshaping the author’s understanding of corporate finance. These experiences revealed the deep integration of finance with accounting, analytics, and strategic decision-making, far beyond …

Telehealth And Medical Consumerism In The Digital Age, Yibing Hu

Finance Undergraduate Honors Theses

This paper discusses the role of telehealth in medical consumerism. As a cheap and convenient model of healthcare, telehealth enables patients to access healthcare regardless of location, as long as they have the necessary technology.

In the current healthcare landscape, insurance policies and high costs push patients to act as consumers of medical services. With the rise of telehealth as another healthcare option, the medical sector further becomes consumer-oriented. This ultimately changes the way patients interact with healthcare.

Emotion Analysis And Topic Modelling Of Supply Chain Discussion During The Covid-19 Pandemic, Suhong Li, Fang Chen, Thomas Ngniatedema

Information Systems and Analytics Department Faculty Journal Articles

This study aims to investigate the supply chain discussion during the COVID-19 pandemic using the supply chain tweets collected between March 2020 and May 2022 globally. The findings reveal an evolving sentiment trajectory: while the users’ sentiment remained neutral in 2020 and 2021, a negative sentiment surged starting in January 2022. Moreover, an emotion analysis indicates a mix of sadness and optimism among Twitter users, with anger gradually intensifying from June 2021 onward. Furthermore, topic modeling reveals distinct themes discussed each year. In 2020, major topics centered around the government’s response to COVID-19, food and medical supply chain crises. By …

Shortage To Surge - Studying The Post-Covid-19 Guitar Retail Market, Jed H. Kim

Data Science Undergraduate Honors Theses

The COVID-19 pandemic was one of the most catalyzing events of the 21st century, leading to supply chain disruptions, lifestyle changes, and a massive shift towards digital technologies. During the COVID-19 lockdown, many people had more free time, and over 16 million individuals learned to play guitar in the first 2 years of the pandemic. According to a study by Fender, 62% of these new guitar learners cited the pandemic as their primary reason for learning the instrument. However, pandemic policies and supply chain disruptions meant that many guitar retailers were unable to satisfy demand, and backorders accumulated. After the …

The Electric Revolution: A Quantitative Analysis Of Tesla's Sales Growth, Mason Bravo

Accounting Undergraduate Honors Theses

This thesis explores the key factors influencing Tesla's sales growth within the evolving electric vehicle (EV) market. It uses regression analysis to quantify the impact of average sales price, charging infrastructure, EV demand, and macroeconomic performance on Tesla's vehicle sales. The analysis is based on data from Tesla's annual reports, the Alternative Fuels Data Center, the International Energy Agency, and the Bureau of Labor Statistics. Key findings include a significant negative correlation between average sales price and vehicle sales, and a strong positive correlation between charging infrastructure and sales. These insights offer valuable implications for Tesla’s strategic decision-making, investor analysis, …

Gap, Inc. : A Strategic Audit Of Gap, Inc. Company, Amber Hanson, Ike Mcley, Sophie Thomas, Avery Plessel, Kira Pavlik

Honors Program: Senior Projects (Public)

The following paper is a comprehensive overview of the company Gap, Inc., a leading global retailer with a diverse brand portfolio that includes Gap, Old Navy, Banana Republic, and Athleta. They compete in the Family Clothing Industry through their operation of over 3,352 brick-and-mortar stores along with offering their digital shopping platform to align with changing consumer preferences. Gap, Inc. plans to maintain financial rigor, reinvigorating its brands, and strengthening its platform. Their strengths are found in their expanding e-commerce segment and their strong commitment to sustainability. Through a broad differentiation strategy, Gap, Inc. targets a diverse consumer demographic across …

U.S. Options Exchange-Traded Funds: Performance Dynamics And Managerial Expertise, Elroi Hadad, Davinder K. Malhotra, Robert Mcleod

School of Business Faculty Papers

This study examines the performance dynamics of U.S. options exchange-traded funds (ETFs), whose investment strategy involves options contracts. Analyzing monthly returns data from February 2014 to April 2023, we evaluate the risk-adjusted performance, volatility, and market sensitivity of U.S. options ETFs relative to U.S. and global equities. Using Carhart's four-factor model, we find that U.S. options ETFs yield lower monthly returns than those of U.S. equities but outperform global equities, suggesting potential diversification benefits. While U.S. options ETFs underperformed during the COVID-19 pandemic, they demonstrated resilience thereafter, offering higher rewards for downside risk. We also find that managerial expertise may …

Strategic Audit: Hilton Worldwide Holdings, Inc., Jenna Derowitsch, Tram Ngo, Tenley Katt, Makenna Henning, Lexi Soukup

Honors Program: Senior Projects (Public)

This comprehensive strategic audit analyzes the internal and external environment in which Hilton Worldwide Holdings Inc. operates, in addition to auditing the strategic drivers that have drove the iconic hospitality firm to success. Hilton Worldwide Holdings, Inc. (Hilton) is a valued hotel chain that has been operating as a global leader in the hospitality industry for more than 100 years. The firm sets an industry standard to provide high-quality hotel services and a reliable stay for more than 200 million guests annually and continues to develop its portfolio of destinations. Technological advancements and shifting customer preferences challenge Hilton to remain …

Decoding The Algorithm: The Mathematics Behind Tiktok’S Short-Form Content Success, Ashley N. Lynch

Honors Scholar Theses

Within the realm of social networks, TikTok has become the central hub for short-form video content. The network’s unique ability to capture individual preferences using predictive analytics has greatly contributed to its massive success, allowing the company to optimize its performance and content personalization. In an age where digital media have such a significant influence on society, it is essential that users develop an understanding of how social network algorithms function to make more informed online decisions. Although TikTok’s technological system is primarily undisclosed, the platform certifiably leverages several key mathematical principles within its algorithm to achieve its core goals …

The Impact Of Ai On Salary Trends And Employment Projections, Anastasiia Semerianova, Annie Chen, Rebecca Mui, Ekaterina Viro, Hui Ting Huang, Thiy Alsaidi

Publications and Research

This project is designed to research the potential future impact of AI implementation on job displacement across key industries such as healthcare, manufacturing, and others. It aims to analyze how automation and AI technologies influence employment trends and workforce demands, as well as the correlation between AI integration and changes in salary structures. The goal is to provide data-driven insights that can inform policymakers, educators, and industry leaders on how to prepare for and adapt to evolving labor market dynamics.

Sustainabilty Reporting And E-Waste Management In The Electronic Industry, Sai Prasad Pochampally

Electronic Theses, Projects, and Dissertations

The rapid expansion of the electronic and electrical equipment (EEE) industry has led to a critical surge in electronic waste (e-waste), which is currently growing at an annual rate of 4%. E-waste contains hazardous substances such as mercury, cadmium, and lead, which contribute significantly to environmental degradation and pose serious health risks—particularly in low- and middle-income countries where proper recycling infrastructure is lacking. In response, electronics manufacturers increasingly rely on Environmental, Social, and Governance (ESG) reporting frameworks to demonstrate transparency and accountability. However, a significant gap persists between what companies choose to report and what stakeholders—particularly consumers—expect to see.

This …

Challenges The Sporting Industry Faced During Covid-19 On Fan Attendance: The Case Of The National Basketball Association, Marlon Long

Electronic Theses, Projects, and Dissertations

This culminating experience project investigates the challenges the sporting industry faced during the COVID-19 pandemic, with a focused look at the National Basketball Association. The research questions are: (Q1) How did the NBA arena shutdowns impact fan attendance for each team during the COVID-19 pandemic? (Q2) What factors influenced NBA arena attendance before the COVID-19 shutdowns? (Q3) What factors influenced NBA arena attendance after the COVID-19 shutdown? The data collected includes all 30 NBA teams from 2019 through the 2024 seasons. The research questions were analyzed using multilinear regression analysis and comparison of attendance data over 6 seasons including the …

Leveraging Data Analytics For Enchanced Economics Prediction: A Study Of Predictive Models And Economics Indicators, Janelle Rueda

Electronic Theses, Projects, and Dissertations

The purpose of this project is intended to investigate the lack of use of data analytics in predicting and managing the impacts of economic crises. This project investigates what economic key factors can be used to create a framework model and evaluate the effectiveness of the key economic indicator being tested as early warning signs. The project uses programs such as Excel, RStudio, and Tableau for the collection of historical data, and regression analysis to determine if certain economic indicators have a statistically significant correlation with GDP, that may help enforce systems in place to help us mitigate economic crises …

Understanding Household Financial Stability: Examining The Effects Of Inflation And Income, Cyndy E. Gutierrez-Fierros

Electronic Theses, Projects, and Dissertations

This study aims to investigate the impact of inflation on US household financial stability from 2013 to 2023. As inflation rises, individuals’ purchasing power erodes leading to influence economic behaviors. Behaviors such as spending, saving, and borrowing should be a priority concern in the US economy. Results of this study reveal that inflation does not affect financial well-being and its direct impact on household stability is statistically weak. Regression testing shows that income emerges as the most significant factor. Most noticeably income influences savings and debt management in a positive way. As per these results, economic policies should be focused …

Analytics Insights From Text: Machine Learning, Ai, And Sentiment Analysis On Beige Books, Charlie Smith

Graduate Theses and Dissertations (2019 - present)

Business analytics is about drawing actionable insights from data. These distinct but connected essays represent a novel approach to explore how natural language processing (NLP) advances and machine learning can transform unstructured text data into actionable conclusions. Essay 1 provides a broad framework. Essay 2 strengthens the sentiment analysis with the most recent artificial intelligence methodologies for capturing nuanced sentiment in complex texts. Essay 3 applies those insights to forecast recessions using topics that can be readily interpreted and applied.

The research demonstrates how these methodologies can be applied to enhance understanding of the same dataset, Beige Books. Published by …

Comparative Analysis Of Regression And Random Forest Models For Player Performance Prediction In The Mls, Joshua Clement Madeti

Senior Honors Theses

Advanced technology and analytics have transformed the world and have benefited several industries throughout, the sport industry being one of them. Data is constantly generated during sports and requires post-game or post-season analysis which is crucial to team and player success. In this paper, the researcher will focus on the impact of analytics on soccer and soccer players. With over three billion active fans, soccer is the most famous sport in the world yet, when it comes to analytics, it is lagging. The thesis includes a comparative study of multiple linear regression and random forest regression to explore whether these …

Mortgage Default Classification Modeling For Variable Analysis, Brendan R. Goggins

Honors College Theses

The financial crisis of the early 2000’s is a prime example of the severe consequences that mortgage default and borrower insolvency can have on economies at large. Mortgage default specifically is a prime case with the popularization of mortgage backed securities and the commonality of this loan structure. Multiple hypotheses and models have been formed to understand the reasons, causes, and consequences of mortgage default. This paper uses both machine learning and statistical classification models to inform an understanding of the variables most significant and impactful to the default outcome of mortgages. Consideration is given to both loan-level microeconomic variables …

Kennesaw State University Student Managed Investment Fund Sector Sensitivity Analysis, John Kiersznowski, Joe Johnson, Kyler Howell, Geranger Lewis

Senior Design Project For Engineers

The Kennesaw State University Student Managed Investment Fund (SMIF) Sector Sensitivity Analysis focuses on improving the fund’s decision-making and performance through data science. The SMIF is a diversified index fund designed to outperform indices like the S&P 500. This project investigates how macroeconomic variables—such as GDP growth, inflation, interest rates, and commodity prices—impact sector performance. By structuring data, developing a sustainable data pipeline, and leveraging advanced statistical techniques and predictive modeling, our team was able to provide the framework and proof of actionable insights that enhance the fund's ability to manage risks and optimize returns.

Measuring Exposure Through Targeted Ads, Sarah Bazell

Honors Projects

This study investigates the effectiveness of targeted digital advertising strategies for Company X, a performance motorsports fuel brand. With the goal of optimizing engagement and improving budget allocation, four distinct ad campaigns were developed and tested on Facebook and Instagram: brand awareness, product education, dealer locator promotion, and lifestyle merchandise promotion. Each campaign was evaluated based on reach, impressions, cost per result, and conversion rates. Descriptive statistics revealed significant differences in engagement rates across campaigns, with video-based, emotionally driven ads outperforming static formats. A one-way ANOVA indicated no significant difference in reach across campaigns but confirmed significant differences in spending …

Ai Meets Economics: Can Deep Learning Surpass Machine Learning And Traditional Statistical Models In Inflation Time Series Forecasting?, Ezekiel N.N. Nortey, Edmund F. Agyemang, Enoch Sakyi-Yeboah, Obu-Amoah Ampomah, Louis Agyekum

School of Mathematical & Statistical Sciences Faculty Publications

This study examined the forecasting ability of deep learning (DL) and machine learning (ML) models against benchmark traditional statistical models for the monthly inflation rates in the USA. The study compared various DL and ML models like transformers, linear regression, gradient boosting (GB), extreme gradient boosting (XGBoost), and adaptive boosting (AdaBoost) with traditional baseline time-series models like autoregressive integrated moving averages (ARIMA) and exponential smoothing (ETS) with Holt-Winters seasonal method utilizing data sourced from the Federal Reserve Bank of St. Louis. The study consistently showed that all DL and ML models outperformed the traditional approaches. In particular, the Transformer (RMSE …

Effect Of Street-Pricing Deregulation In U.S. Airports On Customer Satisfaction, Thorsten Merkle, Satheesh Seenivasan, Sushanta Das

ICHRIE Research Reports

This study investigates the impact of pricing policies and food and beverage (F&B) strategies on traveler satisfaction in the dynamic airport environment, with a focus on Phoenix airport in comparison with two other (undisclosed) major U.S. airports. Using a mixed-methods approach that integrates unstructured observations and social media analytics, the research provides a comprehensive understanding of passenger behavior, satisfaction, and spending patterns in airside F&B outlets.

Key findings reveal that traveler satisfaction is driven by factors such as service quality, timeliness, perceived value, and emotional engagement, with price sensitivity playing a relatively minor role. Phoenix International Airport exemplifies a successful …

Discovering Prompt Engineering: A Qualitative Study Of Nonexpert Teachers' Interactions With Chatgpt, Katherine Carl, Christopher A. Dignam

Research Days

Discussions of the use of artificial intelligence (AI) have become ubiquitous in research, industry, and education. Prompt engineering has emerged as a valuable skill desired by employers, and students have begun to express interest in learning effective ways of interacting with Generative AI. While much research has been done to formalize and optimize the process of prompt engineering, few studies have investigated the use of AI by nonexperts, including nonexpert teachers. In this study, we use qualitative analysis to characterize the process by which nonexpert teachers engage with and learn from ChatGPT as they engage with it as co-creators to …

Enhancing Animal Shelter Operations With Time Series And Machine Learning, Sakava L. Kiv, Donald L. Anderson, Shivam Negi, Jacquelyn Cheun

SMU Data Science Review

Enhancing animal shelter operations through machine learning involves employing a variety of advanced techniques aimed at increasing efficiency, promoting animal welfare, and optimizing resource allocation. This paper explores predictive analytics for adoption rates using regression models to estimate the likelihood of adoption based on historical data, encompassing variables such as breed, health status, and previous adoption trends. Additionally, classification algorithms are utilized to categorize animals by adoption probability, facilitating better resources and marketing prioritization. Clustering algorithms are employed to group animals according to behavior patterns and/or physical health, enabling tailored medical care and enrichment activities that improve their mental and …

Can Kirana Stores Compete In India's E-Commerce Revolution? Rethinking Traditional Retail In The Digital Age, Anshi Jindal, Ashwarya Kapoor

Management Dynamics

E-commerce has reshaped the global retail landscape bringing both disruptions and opportunities specifically in emerging markets like India. This paper explores the evolution of e-commerce in India and its impact on traditional retail particularly unorganized Kirana stores. By analysing market trends, consumer behaviour and policy implications, the study examines how conventional retailers are adapting to digital transformation. Using Reliance Retail’s JioMart initiative as a case study, it provides insights into the integration of digital and physical retail ecosystems. While e-commerce challenges Kirana stores, it also fosters innovation, growth and the emergence of hybrid retail models.

Data-Driven Default Prediction: Insights From Lending Club, Shumaila Gilani, Viktoria Kleer Kliimand

SPARK Symposium Presentations

Peer-to-peer (P2P) lending has transformed consumer credit markets by providing an alternative to traditional banking institutions. LendingClub, a pioneer in this space, facilitates lending between individual investors and borrowers through a data-driven risk assessment model. Our research aims to enhance loan default prediction by developing a more precise classification model based on LendingClub’s historical loan data, ultimately improving risk assessment for investors.

Utilizing a dataset of approximately 650,000 loans from 2007 to 2015, we construct a predictive model to classify loan default risk. Our approach focuses on key financial indicators, including interest rates, borrower grades, debt-to-income ratio, and delinquency history, …

A Machine-Learning Tool-Supported Methodology For Nonprofit Donor Analysis, Corbin Weiss

Campus Research Month

We developed a machine-learning tool-supported methodology for modeling the nonprofit donor relationship. This approach was demonstrated in the case of a US-based nonprofit. Conclusions were drawn from this example and tool-support provided for use by other nonprofits.

A Comparative Analysis Of Financial Ratios In Healthcare Sectors, Lucille Barnett

Undergraduate Theses

How can for-profit financial strategies be adapted to support nonprofit financial stability? And how would those strategies translate to entities with diverse operational goals? The purpose of this study was to conduct a comparative analysis of nonprofit and for-profit healthcare organizations operating in Texas, examining financial differences driven by organizational structures and objectives across three healthcare sectors: Hospitals, Specialty Care Providers, and Community Health Centers. Using financial data from Form 990 and 10-K tax filings, this analysis aims to identify sector-specific financial challenges and opportunities, providing insight for financial decision-makers seeking to improve the long-term sustainability of nonprofit healthcare providers.

Sustainable Leadership In Family-Owned Businesses: The Practice Of Searching Profitability And Evaluating The Business’ Effects On The Environment, Ahmad Mansour, Hind Al-Ahmed, Ahmad Shajrawi, Khaled Alshaketheep, Muhammad Alshurideh, Arafat Deeb

An-Najah University Journal for Research - B (Humanities)

Objective: This research studies family business sustainability leadership adoption obstacles especially regarding their dual need to achieve both profitability and environmental impact targets while examining potential solutions to these problems. Methodology: A research methodology included literary analysis and field studies along with questionnaire distribution for obtaining qualitative and quantitative data. The research survey gathered information about how family businesses handle sustainability measures that focus specifically on their energy consumption as well as energy efficiency and water management plans. Results/Findings: The analysis revealed renewable energy adoption by 80% of the businesses along with energy efficiency implementation in 75% of the …

Does Ai Help Or Harm? Why And How Ai Use Influences Workplace Outcomes And Employee Well-Being, Haille Trimboli, Reka Lassu

Education Division Scholarship

Although the recent surge in excitement surrounding artificial intelligence (AI) might suggest it is a new development, AI has been applied in organizations for over forty years (Fanti et al., 2022; Markelius et al., 2024). Indeed, the term "artificial intelligence" itself emerged in the 1950s during a research project at Dartmouth College, where it was used to describe "machines able to simulate human intelligence" (Haenlein & Kaplan, 2019, p. 3). Most recently, in 2022, the landscape of AI use for laypeople greatly changed when OpenAI introduced ChatGPT, a generative AI tool, to the public; ChatGPT is an advanced AI language …