Business Analytics Commons^™

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 …

Bounded Transformation: From Static Readiness To Trajectory Based Change Viability, Mary Piecewicz, Manjari Gupta

Master of Public Administration for Senior Leadership

Most organizational transformations do not fail loudly. They fade, fragment, and quietly exhaust the people expected to sustain them. What practitioners often diagnose as resistance, poor adoption, or weak execution may begin earlier, with an untested assumption that the organization is stable, coherent, and capable enough to absorb planned change. Existing change frameworks offer useful guidance for implementation, but they do not formally ask whether the organization is currently moving in a direction, and with enough stability, to make planned change viable.

This capstone introduces Bounded Transformation: From Static Readiness to Trajectory-Based Change Viability, a trajectory-based pre-condition framework for …

Exploring Determinants Of Value For Money And Bundling Effects On Public–Private Partnership Projects: A Data-Driven Empirical Study, Gaurav Khadka

Department of Construction Engineering and Management: Dissertations, Theses, and Student Research

Public–private partnerships (P3s) are widely used to deliver public infrastructure, yet current understanding of what drives variation in Value for Money (VfM) and the effectiveness of project delivery strategies such as bundling remains largely conceptual and grounded in perception-based evidence. Consequently, governments lack empirically validated guidance on which project, financial, and macroeconomic conditions meaningfully influence VfM outcomes and whether bundling improves project performance within the P3 context. This study addresses these gaps through an integrated analysis of 180 Canadian P3 infrastructure projects (1992–2020), one of the most comprehensive datasets of realized VfM internationally, incorporating project characteristics, financial arrangements, and macroeconomic …

A Strategic Audit Of Brown-Forman, Joshua Rossman, Carter Mann, Maris Grabill, Joe Meath, Gavin Pokorny

Honors Program: Senior Projects (Public)

Brown-Forman is a global spirits company with products sold in more than 170 countries. Known for brands such as Jack Daniel’s, Woodford Reserve, and Herradura, Brown-Forman’s history spans back over 150 years. Much of its success comes from thoughtful brand stewardship and a long-term approach to growth. The company operates in the highly competitive distilleries industry, where strong brand identity and premium positioning are key to performance.

This strategic audit reviews Brown-Forman’s development, leadership, business model, and guiding mission, as well as its external environment and internal capabilities. It also considers performance, competitive dynamics, business-level and corporate-level strategies, governance, and …

What Ai Can Tell Us About Society: Insights From Social Media Data, Amy Ehinomen Eremionkhale

Business Analytics Faculty Publications

AI can summarize how people feel.
But who decides what counts as “feeling”?

The lecture series brings in scholars to engage the wider university community in meaningful conversations. I am using that space to ask a question at the center of my work:

When AI tells us what society thinks, is it actually telling us the truth, or just what it has been trained to recognize as truth?

My talk, “What AI Can Tell Us About Society: Insights from Social Media Data,” leans directly into that tension.

I will break down how sentiment analysis works in practice, share insights from …

Fintech Innovation And Strategy In Islamic Financial Services In Indonesia: Mapping Trends And Correlations Through Digital Content Analysis, Faisal Binsar S.T., M.M.S.I, Dr., Muhammad Bayu Drs., M.M., Dr., Arif Budiman S.Kom, M.Kom, Lisa Puspitasari S.E., M.Si., Dr.

International Conference on Business and Management Research (ICBMR)

This study explores the impact of fintech innovations and strategies on the operational efficiency and service quality of Islamic financial services in Indonesia, emphasizing their alignment with Islamic financial principles. Using a descriptive quantitative methodology, the research employs digital content analysis of online reviews and social media discussions to uncover key themes. Advanced analytic techniques, including topic modeling with Gibbs Sampling for Dirichlet Multinomial Mixture (GSDMM) and cosine similarity for inter-topic correlation analysis, are applied to data sourced from various digital platforms. The findings reveal three dominant themes: media and community interaction, the performance and services of Islamic financial institutions, …

Analysis The Influence Of Product Attributes On Purchase Decision In Choosing A Smartphone Apple Or Samsung., Arumadina Islamiq, Indrawati Indrawati

International Conference on Business and Management Research (ICBMR)

Smartphones are currently a very important and necessary means of communication for the public. Two of the most popular smartphone brands are Samsung and Apple. The purpose of this study is to measure respondents' assessments of product attribute variables (quality, features, brand, design style, and support services) in purchase decisions.

This research is descriptive. It uses quantitative methods. This study examines two variables in detail, namely product attributes (X) as the independent variable and Purchase Decision (Y) as the dependent variable. The respondents in this study consisted of all consumers who currently use Samsung or Apple smartphone products, with 400 …

From People To Algorithms: Does Bpm Maturity Shape An Ai-Ready Workforce?, Piotr Sliż, Jędrzej Siciński, Beata Jackowska

European Management Studies

Purpose: Introducing AI into an organization should not be limited to technological implementation alone. It also requires a coherent management framework that supports this transformation – especially regarding the workforce. The research focuses on the question: What are the relationships between BPM maturity, AI implementation, and workforce maturity in the organizations studied? The main objective is to examine how these three elements interact and what this means for organizations aiming to build readiness for AI-driven change.

Design/methodology/approach: To explain the relationships between BPM maturity, AI implementation, and workforce maturity, a survey-based study was conducted among a convenience sample …

When Social Fundraising Is Active But Hard To Measure: Nonprofit Lessons From Social Media Roi Research, Dr. Blair W. Loveland

Journal of Nonprofit Innovation

This article examines a nonprofit measurement problem that appears when social media is used to support fundraising but the organization cannot clearly connect that activity to a measurable financial result. The article draws on a non-experimental quantitative survey of 106 participants in roles tied to marketing, sales, or revenue reporting. The findings showed that social media use was common, but visibility into spending, formal ROI tracking, and end-to-end attribution was often weak. Seventy percent of respondents who answered the spend question did not know their organization's annual social media spend, 59 percent of respondents who answered the ROI question said …

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 …

Research On The Characteristics Of Energy Storage Technology Transfer Networks From The Perspective Of Patent Transfer, Mingli Zhu, Zhanlei Yao

Journal of Scientific Information Research

[Purpose/significance] Energy storage technology is crucial for addressing climate change and promoting energy transition. A comprehensive examination of energy storage technology and its regional industrial development trends under the context of China's unified national market has significant practical implications for promoting the flow of scientific and technological innovation resources, facilitating achievement transformation, and narrowing regional innovation gaps. [Method/process] This research focuses on patent transfer data to investigate the evolutionary characteristics of technology transfer networks, firstly establishes a novel patent transfer record extraction model to detect technology transfer phenomena. Secondly, it employs the gravity center model to quantitatively analyze the spatial …

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 …

Advancing Sustainability In The Indonesian Oil Field Services Landscape, Firmansyah Arifin, Sudarso Kaderi Wiryono, Sylviana Maya Damayanti, Gatot Yudoko

The Qualitative Report

This study examines sustainability practices in Indonesia's drilling and oil field services (OFS) industry, addressing a critical research gap from a business and management perspective. Using a qualitative case study approach, ten in-depth interviews with industry leaders identified key performance variables and developed a sustainability model specifically designed for the OFS drilling sector. The findings highlight three core dimensions: Internal Variables (e.g., Employee Health and Safety, CSR Initiatives, ESG Performance, Cost Savings, Energy Efficiency, Carbon Footprint Reduction), External Variables (e.g., Green Financing, Stakeholder Engagement, Community Welfare), and Performance. Novel contributions include operationalizing advanced HSE technologies like cyber rigs and tailored …

Predicting Telecom Customer Churn: A Statistically Validated Kpi Framework With Machine Learning And Revenue Impact Modeling, Moeez Islam Malik '27, Amy Ehinomen Eremionkhale

Student Research

This capstone project addresses a core business problem in the telecommunications industry: how to detect, measure, and prevent customer churn before it occurs, using a KPI framework validated by statistical analysis and machine learning. Applied to 7,043 customer records across 37 variables from a California-based telecom operator, the analysis integrates descriptive KPI computation, Pearson correlation analysis, chi-square tests of independence, and logistic regression churn prediction. The research confirms that customer tenure (r = −0.352, p < 0.001) and contract type (Cramér's V = 0.410, p < 0.001) are the dominant predictors of churn, and that a logistic regression model achieves AUC-ROC = 0.8307 — sufficient for proactive deployment. A 5-percentage-point churn reduction preserves $273,670 in annual revenue and $1.55M in customer lifetime value. The project delivers an integrated analytical framework, a predictive retention model, a 16-chart visualization suite, and a 12-page Power BI executive dashboard.

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 …

Creating Strategy-Focused Universities Using The Balanced Scorecard And Accreditation Framework, Mohammed Fayazuddin, Balaji N, Sankar Ganesh

Journal of Global Management Research

The Balanced Scorecard (BSC) is a versatile framework for performance measurement and strategic management. It has been widely successful in helping businesses and institutes of higher education (IHE) implement strategies and achieve their mission and vision by maintaining a balance between financial and non-financial metrics. Globally, numerous universities have adopted the BSC to enhance quality and address the needs of stakeholders effectively.This study explores the adoption of the Balanced Scorecard in universities, examining its advantages, prerequisites, and challenges. It also establishes a link between the four perspectives of the BSC—financial, customer, internal process, and learning and growth—and the thirty-four key …

Foreign Pedagogy In Education: Theoretical Foundations, Cross-Cultural Dynamics, And Implications For Global Learning, Chitra Venugopal, Prabhakar Rontala Subramaniam

Journal of Global Management Research

This conceptual paper examines foreign pedagogy as a critical lens for understanding how teaching philosophies, instructional strategies, and educational values travel across cultural and national boundaries. Drawing on comparative education, sociocultural theory, and postcolonial scholarship, the paper investigates the processes by which pedagogical models are borrowed, adapted, or imposed between educational systems. It argues that foreign pedagogy is not a neutral transfer of knowledge but a deeply ideological practice shaped by power, cultural epistemology, and institutional context. The paper identifies five central themes: the philosophical roots of major global pedagogical traditions, the mechanisms of pedagogical transfer and borrowing, the tensions …

Green Corporate Responsibility And Sustainable Human Resource Management (Hrm) Functions, Sundara Boopathi R, Shanmugam Sundararajan

Journal of Global Management Research

In order to encourage employee sustainability behavior and achieve long-term organizational success, Green Corporate Responsibility and Sustainable Human Resource Management (HRM) departments place a strong emphasis on incorporating environmental principles into HR processes. Within the context of Green Corporate Social Responsibility (GCSR), this study investigates how Sustainable Human Resource Management (Green HRM) functions affect Organizational Sustainability through the mediating roles of Pro-environmental Behavior (PEB) and Pro-environmental Psychological Climate (PEPC). based on the Resource-Based View (RBV), Social Exchange Theory (SET), and Ability-Motivation-Opportunity (AMO) theory. By incorporating six essentials Green HRM practices-green hiring and selection, green training and development, green performance evaluation, …

Identifying Skill Gaps And Upskilling Priorities For C-Level Executives Using The Analytic Hierarchy Process (Ahp) Analysis, Mohamed Riyazhkhan, Mohsin Aziz, Krishna Murthy, Abdul Azeez K M, George Anthony Fernando

Journal of Global Management Research

C-level executives, or chief-level executives, play a significant role in corporate development, and their roles and responsibilities are essential for sustaining organizational effectiveness in an increasingly competitive business environment. They also constitute a fundamental component of organizational management systems (Julie & Emory, 2006). In this research, data were collected exclusively from C-level or C-suite executives (CEO, CFO, COO, and CHRO) from leading corporations in Oman and India. This study investigates three representative cases related to managerial functions across various corporate organizations. The first case examines the job descriptions associated with C-level executives, the second case explores the identification of skill …

A Critical Perspective On Artificial Intelligence's Energy Footprint And Future Research Questions For Accounting And Business Research, Dr Mansi Mansi, Rakesh Pandey

Journal of Global Management Research

No abstract provided.

Reinforcement Learning Approaches For Intelligent Budget Management: A Comparison Of Traditional Budget Model With Q-Learning, And Deep Q-Network Models, Danish Yaqub

Create@State

This study explores the application of Reinforcement Learning (RL) techniques to improve personal budget management and financial decision-making. A traditional rule-based budgeting model is first developed as a baseline approach, where income is allocated to expenses, savings, and debt payments using fixed financial ratios and predefined rules. Although this approach provides a structured framework for financial planning, it lacks adaptability and cannot dynamically optimize decisions when financial conditions change.To address these limitations, two reinforcement learning models—Q-Learning and Deep Q-Network (DQN) are implemented and compared with the traditional budgeting model. In the Q-Learning model, an agent interacts with simulated financial states …