Business Analytics Commons^™

Staffing Decisions At Gabriana Cup, Ana Jimenez, Edith Oblitas, Gabriela Pena Guzman, Adriana Valdivia, Di Wu

Open Educational Resources

Labor costs are one of the largest operational costs in the service industry. Overstaffing increases expenses unnecessarily, and understaffing reduces service quality and customer satisfaction. You are a business operations analyst working for Gabriana Cup, a local coffee shop. The owner has observed that certain hours appear significantly busier than others, creating operational pressure during peak times. The owner would like to reduce unnecessary labor costs and optimize Gabriana Cup's staffing practices.

Staffing schedules are currently based on assumptions rather than historical sales patterns, costing the coffee shop owner through wasted inventory, overstaffing, understaffing, and unnecessary labor costs. The coffee …

Netflix Content Strategy, Di Wu

Open Educational Resources

Netflix operates in a highly competitive streaming market where content strategy directly affects subscriber acquisition, retention, brand positioning, and international growth. A streaming platform cannot simply add more titles indefinitely. Content licensing, production budgets, regional demand, maturity ratings, and genre balance all shape which titles should be prioritized.

You are a content strategy analyst on Netflix's global catalog planning team. Senior management is preparing the next annual content review and wants a data-supported recommendation about how the catalog should be positioned. The team is especially interested in whether Netflix should continue emphasizing movies, expand TV shows more aggressively, prioritize specific …

Evaluating Optimal Capacity And Investment Strategies For Renewable Energy Projects: A Combined Technical And Financial Approach, Helen Josephine, Indhumathi Shanmugasundaram, Sharad Gupta, Manjari Sharma

Northeast Journal of Complex Systems (NEJCS)

The global shift toward clean energy is accelerating, and by 2050 renewable sources are expected to supply more than 85% of the world’s electricity. This transition, however, introduces new layers of complexity. Wind and solar energy behave as interconnected subsystems whose output fluctuates with weather, season, and geography. Their interaction with fixed hourly demand, capital-intensive investments, and financing structures creates a multi-dimensional system in which small changes can trigger significant operational and economic consequences.  This study presents a simulation-driven framework designed to understand and optimize this complex behaviour. The framework models hourly wind and solar generation alongside projected demand to …

Generative Ai’S (Genai) Impact On Sales Performance: An Empirical Study On Business-To-Business Sales Process, Michael Rodriguez, Michael Rodriguez, Mike Krush, Dawn Deeter-Schmelz

Atlantic Marketing Association Proceedings

No abstract provided.

Development Of Artificial Intelligence (Ai) Utilization Scale In Business To Business (B2b) Sales Process And Conceptual Model: Exploratory Study, Michael Rodriguez

Atlantic Marketing Association Proceedings

No abstract provided.

Marketing Orientation: A Longitudinal Study Of Community Banks, Stephen Carlson, Gerald Sullivan, Susanna Warnock, Margaret Ryder

Atlantic Marketing Association Proceedings

No abstract provided.

Navigating Environmental, Social, And Governance (Esg) Risks In The Online Food Delivery Platforms: Using Sentiment Analysis Approach, Maryam Mahdikhani, Jiyoon An, Arim Park

Atlantic Marketing Association Proceedings

No abstract provided.

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. A dimension of justice is achieved in a two-fold manner; first, through rhetorical commitments in founding …

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, …

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 …

Using Location Tracking And Gis Tools To Investigate Customers’ Cluster Shopping Behavior, Mark J. Sciuchetti Jr, Jianping Huang, Brent Cunningham

Atlantic Marketing Association Proceedings

No abstract provided.

Credit Card Indebtedness During The Covid-19 Pandemic, Alan D. Smith

Atlantic Marketing Association Proceedings

No abstract provided.

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 …