Business Analytics Commons^™

Problems And Risks Within The Agriculture Of Stann Creek, Ethan Bailey

Supply Chain Management Undergraduate Honors Theses

Agriculture is a significant part of the economy of Stann Creek, Belize and faces many challenges. This research presents data from farms in the areas surrounding Dangriga regarding the problems that they have been experiencing and potential risks they may face. The research covers family/individual farms, an agriculture cooperative, commercial farms, agritourism businesses, and Mennonite communities. This research was conducted as part of an internship with the Ministry of Agriculture (MOA) of Belize alongside extension officers of the Stann Creek branch of the MOA.

The data from the internship found that agriculture in Stann Creek dealt with problems regarding availability …

A Machine Learning And Artificial Intelligence Sentiment Analysis Of Esg Disclosures, John Barnett Davis

Graduate Theses and Dissertations (2019 - present)

This dissertation examines whether environmental, social, and governance (ESG) disclosure sentiment extracted from SEC Form 10-K Item 1A risk disclosures aligns with Bloomberg ESG scores. The study combines SEC textual disclosures, Bloomberg ESG ratings, firm financial data, executive compensation data, and executive gender characteristics. Natural language processing and artificial intelligence methods, including FinBERT, Loughran-McDonald sentiment measures, BART-MNLI zero-shot classification, LLaMA-based ESG scoring, and readability analysis, are used to evaluate ESG-related disclosure signals. Results reveal that SEC 10-K Item 1A risk-factor sentiment and Bloomberg ESG scores represent related but distinct constructs. ESG sentiment in Item 1A is poorly aligned with third-party …

Does Green Pay Less? Global Corporate Bond Evidence On Primary And Secondary Yields, Youssef El Kenawy

Theses and Dissertations

The greenium, or green premium, refers to the lower yield that arises from a bond’s green label, conditional on otherwise identical contractual features and credit risk. In our study, we estimate the greenium by combining causal matching techniques with a neural network–based propensity score approach to construct a closely comparable set of green and conventional bonds. Our empirical framework incorporates issuer fixed effects and currency × issuance-year fixed effects, ensuring that our estimates reflect the impact of the green label itself rather than differences in macro-financial conditions or issuer composition.

Our findings indicate that, once currency-specific issuance-year conditions are absorbed, …

The Role Of Project Managers And Pmp Principles In Improving Operational Efficiency In Healthcare Organizations, Karan Thakkar

Harrisburg University Dissertations and Theses

Healthcare organizations operate in increasingly complex, regulated, and resource-constrained environments while managing a growing volume of projects tied to digital transformation, process improvement, regulatory compliance, and infrastructure development. Despite the project-intensive nature of healthcare operations, many organizations do not formally employ trained project managers or consistently apply Project Management Professional (PMP) principles; project responsibilities are frequently absorbed by clinical or administrative leaders whose primary expertise lies outside formal project management. This qualitative study examined how the project manager role and PMP principles contribute to operational efficiency in healthcare organizations. The study was conducted as a qualitative document analysis and thematic …

Crowding In Private Capital For Climate Adaptation In India, Shreya Bajaj

Master in Public Policy Theses

Reports show that India is highly vulnerable to climate change. Mitigation efforts alone cannot address these risks, and adaptation remains essential. Yet while much of the existing literature documents the adaptation finance gap, it offers less practical guidance on where private capital can realistically be used and what institutional arrangements are needed to make it work. This paper tries to address that gap in the Indian context.

This paper examines three adaptation finance use cases through which private capital could support climate adaptation and resilience in India: parametric disaster risk transfer, pooled municipal finance, and water fund. For each issue, …

A Just Reimagining Of The Loss & Damage Fund, Sarah Cheung

Master in Public Policy Theses

The Fund for Responding to Loss and Damage (FRLD), established at COP28 in 2023, represents a historic diplomatic breakthrough in multilateral climate finance, yet its design reflects the compromises necessary to secure political agreement rather than a just institutional architecture. This thesis evaluates the FRLD and two prominent reform proposals—the Bridgetown Initiative 3.0 and Esther Duflo's Grand Bargain—against a novel framework that provides a more precise way to evaluate the “justness” of different arrangements. This framework encompasses three dimensions: compensatory, distributive, and procedural justice. [JS1] A dimension of justice is achieved in a two-fold manner; first, through rhetorical commitments in …

The Regionalization Of The North American Auto Industry: A Comparative Analysis Of Automotive And White Goods Trade Under Nafta And The Usmca, 1990-2024, Helen Alexandra Helfgott

Master in Public Policy Theses

This research examines whether the auto-specific provisions introduced under the North American Free Trade Agreement (NAFTA) and the US-Mexico-Canada Agreement (USMCA) have had a measurable regionalizing effect on North American export flows. The USMCA's auto-specific provisions, established in the rules of origin requirements (ROOs), increase regional value content requirements (RVC) while imposing new requirements for labor value content (LVC), steel and aluminum sourcing, and core parts. This research assesses whether these provisions are associated with a distinctive pattern of intra-regional export concentration not present in other sectors.

The study employs a descriptive comparative framework using data from UN Comtrade, spanning …

The Offense-Defense Balance And The Modern System In Ukraine, Daniel Hogestyn

Master in Public Policy Theses

This thesis evaluates whether the Russo Ukrainian war represents a revolution in military affairs (RMA) by testing Stephen Biddle’s "modern system" theory of battlefield outcomes against recent combat operations. Applying Biddle’s formal model to the 2023 Ukrainian offensive in Zaporizhia, the thesis finds that the offensive's failure conforms closely to Biddle’s causal logic, with force employment variables drawn from 20th century combat sufficient to account for the outcome. Biddle's model in military power argues that force employment has explained victory and defeat since World War I, rather than technology or numerical preponderance alone. Many commentators claim that proliferation of small …

Stablecoins, Geopolitical Shocks, And Imperfect Arbitrage: A Case Study Of Türkiye, Vincient Arnold

Master in Public Policy Theses

On March 19, 2025, a key Turkish opposition political figure was unexpectedly arrested on what were presumed to be politically motivated charges. In response, the lira depreciated sharply. Meanwhile, Türkiye has a large and active dollar stablecoin market. Using a time series dataset of trade-frequency Tether vs. lira trading, I exploit this natural exogenous geopolitical risk-off event to investigate the response function of stablecoin traders active in Türkiye to this shock. I find that the shock is associated with a large (5.33% ) abnormal depreciation of the lira. Further, I show that the shock is associated with an abnormal widening …

Uneven Ranks: Geographic Deepening Of The All-Volunteer Force, Christine Hogestyn

Master in Public Policy Theses

Who is enlisting in Fiscal Year 2025, and what state-level characteristics are associated with military enlistment rates, service selection, and recruit quality? This study documents the geographic landscape of U.S. military accessions during a period of recruiting recovery, filling a gap in the literature by providing a current, empirical description of who enlists and from where in today’s All-Volunteer Force. Drawing on personnel data from the Department of War, the U.S. Census and Bureau of Labor Statistics estimates, and a federal dataset of military installations, I analyze 203,987 new accessions across the Army, Navy, Air Force, and Marine Corps from …

The Digital Rentier State: Saudi Arabia, George Ngoh

Master in Public Policy Theses

As artificial intelligence reshapes Great Power Competition, control over digital infrastructure has become a key measure of global hegemony. In this context, Saudi Arabia is using its Vision 2030 strategy to pivot from traditional hydrocarbon reliance toward diversification into the AI and emerging technology sector, seeking to secure a position of power in an increasingly multipolar world.

This thesis analyzes whether Saudi Arabia’s AI investments signal a transition away from traditional resource rentierism or the creation of a new digital rentier model. Through primary and secondary research, this study argues that the Kingdom is establishing a sustainable pathway toward a …

The Data Movement In Professional Sports, Preston Dorand

Undergraduate Honors Theses

At the turn of the 21st century, technological advancement reshaped industries worldwide, including professional sports. Organizations increasingly adopted analytical frameworks, leveraging advanced software systems and performance metrics to inform and optimize decision-making on and off the field. Industry professionals frequently cite the film and book, Moneyball, as a cultural turning point that brought data driven methodologies to the forefront. Since that period, professional sports, especially baseball, have evolved from foundational sabermetric theory into a complex data ecosystem characterized by high-resolution tracking technologies, pitch modeling, player valuation systems, and matchup optimization models.

My thesis examined how sports organizations operationalized data-driven …

The Design And Manufacturing Process Of The Concealed Shelf, Clarence A. Matthews Iv

Honors Theses

The Haley Barbour Center for Manufacturing Excellence (CME) at the University of Mississippi challenges students to manufacture a product and put forth a balanced manufacturing line in a senior capstone project. The chosen product was a concealed shelf, or a shelf with a hidden compartment. The team aimed to design a product, formulate a project plan, analyze the market, conduct financial analysis, develop a prototype, establish a manufacturing process, and demonstrate that process in two production runs. The team used tools such as Computer Aided Design (CAD), market surveys, jig creation, and line balancing to accomplish these tasks. After two …

Accounting In Practice: An Analysis Of Real-World Business And Regulatory Case Studies, Claire E. Coursey

Honors Theses

This thesis consists of several accounting case studies completed throughout two semesters of Honors Accountancy 420 under the direction of Dr. Victoria Dickinson. The projects combined both individual and group work and focused on applying accounting knowledge to real-world business situations and current events. Each case study required research, analysis, and evaluation of topics related to financial reporting, auditing, regulation, and corporate operations. Throughout the fall semester, the case studies introduced a variety of accounting and business topics that helped develop research, analytical, and communication skills. During the spring semester, the primary focus shifted toward analyzing the potential impact of …

Large Language Models As A Detector For Political Deepfakes, Gracie L. Roberts

Honors Theses

The advancement of generative artificial intelligence has allowed for the creation of highly realistic political deepfakes, posing significant threats to democratic integrity and trust in governmental institutions. This study investigates the effectiveness of Large Language Models (LLMs) as detectors for political deepfakes, specifically exploring their ability to address the transferability, interpretability, and robustness limitations inherent in traditional detection systems.

The research was conducted in four steps including data collection, model selection, experimental testing, and evaluation. Two datasets were used in this study. The first dataset uses 833 fake images from the Political Deepfake Incidents Database (PDID) and 833 real images …

Manufacturing Of A Wooden Tortilla Press: Idea To Production, Glenn H. Walker

Honors Theses

The purpose of this thesis is to document the design, development, and manufacturing of a wooden tortilla press completed as a capstone project through the Center for Manufacturing Excellence (CME). The project follows a structured product development process that began with problem definition and concept development, progressed through design, prototyping, and jig fabrication, and culminated in a full production run on the CME shop floor. A multidisciplinary team, including engineers, a marketer, and an accountant, collaborated throughout the project to support both technical development and manufacturing execution. Project planning and scheduling were established early and maintained throughout the project to …

Accounting In A Changing Landscape: A Collection Of Case Studies, Rachel K. Rowe

Honors Theses

This thesis comprises six independent yet interconnected case studies that reflect on a range of modern accounting and regulatory topics. These cases were written under the direction of Dr. Victoria Dickinson during two semesters of the Professional Research and Development Thesis Program at the University of Mississippi. The purpose of this class is to provide students with the opportunity to research cases that have real-world applications in the field of accounting.

The first case explores Environmental, Social, and Governance (ESG) issues, emphasizing the increased importance of reporting for them and the growing role of accountants in sustainability assurance. The second …

Final Practicum Thesis And Portfolio From Accy 421: Professional Development Reviewing The Economic Effects Of Maha Initiatives On Conagra Brands Financial Statements And Studies On Business Professionals, Everett B. Heuer

Honors Theses

The purpose of this paper is to investigate the potential legislative changes brought about by Robert F Kennedy Jr. and the “Make America Healthy Again” campaign to uncover possible financial effects to Conagra Brands’ next fiscal year. This was achieved through research on RFK’s opinions on American food culture from sources such as interviews and Senate confirmation hearings. Findings included disapproval of seed oils and artificial food dyes that could affect Conagra Brands’ subsidiaries. After reviewing Conagra Brands’ 10k for the previous fiscal year as well as mission statements and core values, the team developed multiple plans for Conagra Brands …

Can You Buy Success In Major League Baseball?, Jacob Rumberger

Honors Projects

The vast disparity in Major League Baseball team payrolls over the last decade has become a prominent issue of concern for fans, owners, and league management. The belief is that the teams that invest exorbitant amounts of money into their players are paying to win. Teams, such as the Oakland Athletics, have popularized the method of “Moneyball” to find and exploit undervalued players in order to compete with large market teams. This research study aims to uncover whether this claim is based in fact or is unsubstantiated. Using statistical prediction methods like linear regression, logistic regression, and k nearest neighbor …

The Impatience Of Winning: An Analysis Of Time Discounting, Predictive Modeling, And The Nba Draft, Alec R. Plante

Business and Economics Honors Papers

This paper examines whether NBA draft decisions can be better explained by incorporating non-geometric time discounting into a model of general manager decision making. Using a dataset of 285 NBA draft prospects over a 12-year period, the impact of college statistics on Value Over Replacement Player (VORP) is determined, and these impact values are then used to create a “predicted” VORP for the first 4 seasons of each player’s career: a projection of what a general manager might think of a prospect’s future value given their college statistics. Following this, geometric and hyperbolic time discounting models are applied to estimate …

Practical Applications Of Artificial Intelligence For Small Business Marketing: A Literary Review & Llm Approach, Noah C. Kowalski

Honors Capstones

This Honors Capstone Research Paper examines the practical application of artificial intelligence in small business digital and social media marketing. As AI technologies become more accessible, small businesses have new opportunities to improve efficiency, enhance customer engagement, and compete more effectively in digital markets. However, there is a lack of clear guidance on how to implement these tools in a practical and cost-effective way.

This study uses a qualitative approach, combining a literature review with an applied analysis of widely used AI marketing tools including ChatGPT, Canva, Hootsuite, Buffer, Google Analytics 4, and HubSpot. These tools were evaluated based on …

A Forecasting Framework For Distribution Center Capacity Utilization: An Applied Industry Study, Jordan J. Shortt

Data Science Undergraduate Honors Theses

This project develops and evaluates a predictive modeling framework for forecasting distribution center capacity utilization at Company Y, with monthly forecast horizons up to one year. Motivated by the operational challenges of seasonal demand volatility, promotional cycles, and the absence of a formally defined capacity metric, the study first constructs a historical capacity utilization measure from raw warehouse management system data — reconciling item volumes, location dimensions, and utilization factors across all DCs — which serves as the target variable for all modeling work. Four models are developed and evaluated against a naïve seasonal baseline: SARIMA, LightGBM, LSTM, and a …

Developing Tracking Compliance Standards For Inbound Freight: A Data-Driven Industry Application At O’Reilly Automotive, Jackson Endacott

Data Science Undergraduate Honors Theses

Visibility of inbound freight is critical for managing operational efficiency, yet many organizations lack standardized compliance metrics for third-party carriers to uphold, preventing them from utilizing tracking data to make data-driven decisions. During a summer internship with the Transportation Department at O’Reilly Automotive, data inconsistencies were addressed in the Transportation Management System (TMS), and that data was utilized to create tracking compliance standards for third-party carriers. Data populated from various sources within O’Reilly’s TMS was cleaned, validated, and utilized to create a Tracking Scorecard that evaluates message transmission rates, timeliness, and errors. This tool provides actionable insights to improve tracking …

Escaping The Promotion Trap: A Machine Learning Framework For Brand Equity Preservation In Beverage Cpg, Lucas P. Jones

Data Science Undergraduate Honors Theses

When companies acquire beverage brands, they typically value them based on total sales revenue. This traditional approach treats all sales equally over time, whether they are driven by genuine consumer demand or temporary discounts. This is important because while promotions can boost short-term sales, they tend to erode brand value over long periods of time. The measurement problem extends to acquisitions, where buyers lack the tools to distinguish real consumer demand from artificial promotional inflation.

This thesis develops a framework to separate genuine baseline demand from promotional dependence using Nielsen scanner data covering 189 beverage brands across 188,304 weekly observations …

Barks And Beans: A Place To Enjoy Two Things You Love, Erika Davis

Honors Projects

This project explores the necessary steps that need to be taken in order to have a successful and impactful pet cafe. "Barks and Beans" is a pet cafe created to enhance the community and benefit societies mental health and social wellbeing while operating as a successful business. This project is guided by the research questions "How does integrating dogs into a coffee shop environment influence factors such as customer attraction, retention, and overall brand identity?” and “What impact do dogs in a coffee shop have on a customer's emotional/mental well-being, satisfaction of experience, and likelihood of returning?”. Given the research …

Improving Transfer Portal Decision-Making Through A Microsoft Excel Optimization Model, Peyton Steffes

Honors Projects

The creation of the transfer portal has increased the mobility of collegiate athletes, giving players the autonomy to switch teams throughout their career. As a result, the roster development process has become more complex, as coaches are tasked with the challenge of recruiting from the transfer portal, which involves an extensive decision-making process. Coaches not only have to evaluate a substantial pool of players, but they also must consider the following constraints they are under: scholarship budget, roster spots available, and positional needs. To simplify this decision-making process, this analysis includes the results of a Microsoft Excel data optimization model …

Investigating Machine Learning As An Anomaly Detection Tool In College Basketball, Eli G. Whitaker

Honors College Theses

Artificial Intelligence (AI) and Machine Learning (ML) are more commonly becoming tools that organizations use to prevent, detect, and deter fraud. Like other organizations, the amount of fraud that the National Collegiate Athletic Association (NCAA) faces is growing at an alarming rate. The primary issue involves athletes that undermine the integrity of their sport by purposefully playing below their true potential as participants in broader betting-related schemes. This thesis focused on Division 1 Men’s Basketball evaluates the viability of using supervised ML to detect anomalies in team performance over games in recent seasons. Anomalies, like red flags in the context …

Quantifying Overconsumption In The United States: A Multiple Linear Regression Analysis, Morgan Davis

Honors Projects

This study examines overconsumption in the United States by analyzing how socioeconomic factors influence household spending relative to income. Overconsumption is defined as elevated discretionary spending relative to income, with a focus on categories such as apparel, entertainment, and food away from home. Using 2024 Consumer Expenditure Survey (CEX) data, three multiple linear regression models were created to evaluate predictors of overall consumption, discretionary consumption, and apparel spending as proportions of income.

Results show that income is the most significant predictor across all models, with higher-income households consistently spending a smaller share of their income. Age and household size also …

Does Moneyball Still Win Games? A Twenty Year Analysis Of Mlb Success, Kevin Wright

Honors Theses

This thesis evaluates whether the core principles of the Moneyball ideology continue to predict team success in Major League Baseball in the modern analytics era. In the last two decades, the widespread adoption of advanced statistical methods across all franchises has raised the central question of whether the original inefficiencies Moneyball exploited may no longer exist. To address this, this study analyzes twenty years of team‑level data from 2005-2025 (excluding 2020), incorporating seven performance metrics historically or conceptually tied to Moneyball which include OBP, WHIP, FIP, DRS, SB%, clutch, and wins per dollar, alongside demographic controls. Success is measured across …

Design And Implementation Of A Customer Retention And Voice Ai System For El Nopal, Brando Medina

Undergraduate Theses

This Honors Applied Thesis documents the design and implementation of a live Customer Retention and Voice AI System for El Nopal, a full-service restaurant, to improve customer follow-up, routine communication handling, and cross-channel engagement. The project was developed for El Nopal’s Tyler Center location on Taylorsville Road and focused on building a practical artifact rather than primarily evaluating long-term business outcomes. The completed v1 system consists of three modules: a Customer Retention System centered on a QR-based VIP rewards workflow, a Voice AI System for routine phone support, and a Cross-Channel Integration Layer that connects voice interactions to CRM-based SMS …