Business Analytics Commons^™

The Nevada Innovation Economy And Federal Funding, Len Jessup, Sean Curry

Policy Briefs and Reports

This policy brief examines the nascent Nevada innovation economy and the funding capacity of the federal government. The analysis highlights how federal innovation programs have stimulated research, commercialization, and long-term economic development in Nevada. Using a multi-level framework encompassing technological, industrial, and spatial innovation, this policy brief documents how federal research funding, augmented by state programs and university infrastructure, has contributed to the formation of new research capabilities, seeded industry clusters and startups, and expanded workforce capacity. The findings suggest that federal resources have been productively deployed to date, generating significant scientific, economic, and social returns, but that more must …

The Impact Of Liquidity On Profitability Of U.S. Commercial Banks: Evidence From Panel Data Analysis Using Fdic Call Reports, Md Shehab Hossain, Saddam Nasir Chowdhury

Student Publications

Maintaining adequate liquidity while preserving profitability remains a central challenge for commercial banks because liquid assets strengthen resilience but typically generate lower returns than loans and other earning assets. This study investigates the effect of liquidity on the profitability of U.S. commercial banks using 8,000 quarterly bank observations for 2010–2024. Profitability is measured by return on assets (ROA), with return on equity (ROE) used for robustness, while liquidity, capital adequacy, the loan-to-asset ratio, and bank size are modeled as explanatory variables. Pooled OLS, fixed-effects, and random-effects estimators are compared, and diagnostic tests support a two-way fixed-effects model with standard errors …

When The System Misreads The Working Caregiver: The Caring Elasticity Index And The Governance Of Participation Under Constraint, Rob E. Carpenter, Brandy Dial, Debaro Huyler, Andrew Krouse, Judy Sun

Human Resource Development Faculty Publications and Presentations

Organizations increasingly use digitally captured behavioral traces to infer engagement, performance, and participation. Yet visible activity is an imperfect proxy for underlying capability, particularly when structural constraints reorganize when and how participation occurs. Using working multigenerational caregivers as a theoretically revealing case, this paper develops a governance-centered account of how constraint-shaped participation variance in presence, timing, and pacing may be misclassified as disengagement within proxy-based organizational systems. We theorize this failure as a self-reinforcing control loop in which misclassification activates penalty-centered responses that further disrupt participation and contribute to capability-flow leakage. To address this inference-to-action failure, we specify the Caring …

Interrupting The First Story: A Lonerganian Claim Audit For Visual Analytics, Ajaya K. Swain

San Jose - Lonergan Chair in Catholic Philosophy

Visualizations can create an impression of immediacy: a pattern appears, an explanation follows, and managerial action can seem warranted before the transitions among observation, interpretation, judgment, and decision have been examined. This conceptual and pedagogical paper develops a Lonerganian Claim Audit for visual analytics, a discipline-specific adaptation of Bernard Lonergan's account of experience, understanding, judgment, and decision. It conceptualizes visual inferential compression as diminished differentiation among these operations, such that confidence generated by a visible pattern transfers to an explanation, an evidential claim, and an action without the distinct warrant required at each transition. The Claim Audit interrupts that movement …

Predicting Cesarean Section Delivery In The United States Using Machine Learning: Population-Based Retrospective Study, Yanchao Yang

Business Analytics Faculty Publications

Background:
Cesarean section (C-section) is the most common surgical procedure in the United States, yet its use varies widely across regions and institutions. Although clinical risk factors are central to delivery decisions, geographic context, health system capacity, and local practice patterns may also influence C-section use. Understanding both the determinants and predictability of C-section delivery is important for improving obstetric quality and equity.

Objective:
This study aims to document geographic variation in C-section use across the United States, identify maternal and county-level factors associated with C-section delivery, and evaluate the predictive performance of machine learning models across clinically defined risk …

The Anatomy Of Earnings Conference Calls: An Integrative Framework For Management Research, Matthew P. Mount, Gokhan Ertug, Wei Shi, Tengjian Zou

Research Collection Lee Kong Chian School Of Business

Over the last decade, there has been an explosion in the use of diverse data sources by management scholars to observe and capture managerial and organizational constructs that have historically been difficult to access. This surge has been driven by the growing availability of rich, multi-modal data—textual, image, and audio (Luo, Jia, Ouyang, & Fang, 2024)—together with advances in analytical techniques to process and analyze data, such as computer-aided text analysis (Harrison, Thurgood, Boivie, & Pfarrer, 2019), machine learning (Choudhury, Wang, Carlson, & Khanna, 2019; Harrison, Josefy, Kalm, & Krause, 2023), and deep learning (Gouvard, Goldberg, & Srivastava, 2023). These …

Ai For Regression Analysis And More, Eli Snir

Generative AI Teaching Activities

Students use Copilot and NotebookLM to create a dataset and develop statistical analyses including regression.

Wearable Technology For Depression Assessment: A Scoping Review Of Datasets, Ml Tlachac, Hayley K. Elsbree, Michael V. Heinz

Information Systems and Analytics Department Faculty Journal Articles

As wearable technology continues to develop, wearable devices are becoming more common and being increasingly used to collect datasets for depression assessment. Documenting the collection procedures, recruitment strategies, and demographics of these datasets is important to allow for synthesis across the datasets and uncover common limitations. As such, in this scoping review, we identify 80 observational datasets collected by wearable devices through the start of 2025 that can be used for depression assessment. Of the 80 datasets, 50% used an actigraph and 47.5% used other wristbands. These wearable devices were used to collect activity, sleep, and heart rate for 87.5%, …

Innovation Hubs In Mountain West Cities, 2025, Cason Noll, Sean Curry, Olivia K. Cheche, Caitlin J. Saladino, William E. Brown Jr.

Economic Development & Workforce

This fact sheet presents data on 20 innovation-dense Mountain West cities across Arizona, Colorado, Nevada, New Mexico, and Utah. The CommercialCafe report, “Santa Clara, Berkeley & Tempe Lead Among Western Innovation Hubs,”  uses 15 indicators to rank 63 western cities for innovation hub activity across three categories: employment and talent, education, and business activity.

Investment Decision Making, Muhammad Yaseen, Di Wu

Open Educational Resources

A newly established commercial bank, founded in 2021, has accumulated excess capital reserves. The bank is evaluating long-term investment options to deploy this capital in a way that balances growth and risk. The investment committee is considering two primary strategies: investing in a diversified technology-focused ETF, QQQ, or investing directly in selected individual technology stocks.

The bank's senior management wants capital growth, but it also needs to manage risk exposure. A bank cannot treat an investment decision only as a search for the highest return. It must also consider volatility, concentration risk, liquidity, downside periods, and whether the strategy fits …

German Energy Crisis, Liomar Jimenez, Malachy Mclaughlin, Muhdee Nawab, Mouhamed Sarr, Di Wu

Open Educational Resources

For most of the twentieth century, nuclear energy was the quiet backbone of Germany's electricity system. At its peak in 1997, nuclear power supplied over 31 percent of all electricity generated in the country. It was a reliable, low-cost source that kept German industries competitive across Europe. The country's industrial base, including automakers, chemical producers, and heavy manufacturers, depended on affordable, stable power. Nuclear delivered exactly that.

The political climate changed in the late 1990s. After years of advocacy based on concerns about nuclear waste and reactor safety, the Green Party joined the Social Democrats to form the Red-Green Coalition …

Credit Card Analysis, Di Wu

Open Educational Resources

A credit card business unit at a bank is facing a retention problem. More customers are leaving the bank's credit card services, and the retention manager wants to identify which customers are most likely to churn so the bank can intervene before the account is lost.

The bank has customer demographic, relationship, and transaction data for more than 10,000 credit card customers. The data includes age, gender, education, income category, card category, months on book, customer inactivity, contact frequency, credit limit, revolving balance, transaction amount, transaction count, and whether the customer attrited.

You are a business analyst on the bank's …

Smartphone Usage, Charles Howard, Josiah Nkele, Berner Hernandez, Di Wu

Open Educational Resources

A major smartphone company is studying how smartphone usage affects users' stress, productivity, and sleep habits. As part of the product development team, you have been assigned to analyze user behavior data to help create digital wellness features that improve the overall user experience.

The company has collected behavior data from over 50,000 users to better understand how smartphone habits may influence focus, stress, and performance. By exploring this data, the team hopes to discover patterns that can guide healthier digital usage and create a better balance between daily life and technology use.

Senior product managers are considering several possible …

Airbnb Studies, Fatoumata Diabate, Maria Estevez, Jaliah Fabre, Di Wu

Open Educational Resources

In the high-stakes world of short-term rentals, Homeland Sellers serves as an advisory firm for property buyers navigating the global Airbnb market. Historically, investors in the sector have often been led by intuition and gut feeling. That is a dangerous strategy in an increasingly regulated environment. To protect capital, Homeland Sellers is transitioning to a more rigorous, data-driven investment model.

Aspiring hosts face a minefield of financial and legal hurdles. Ignoring local HOA restrictions, fluctuating property tax structures, or strict licensing requirements can create serious risk for net operating income. Beyond regulatory compliance, investors must also account for guest appeal …

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 …

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 …

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.

Business Analytics (Assignment), Li Lu Ph.D.

School of Business

This assignment was developed by SUNY Geneseo Professor Li Lu during the spring 2026 semester.

Learning Objectives

• Gain Practical Proficiency: Use a generative AI tool to analyze a business scenario, generate insights, and formulate action plans.
• Critically Evaluate AI Output: Identify and critique the limitations, biases, and assumptions embedded in AI-generated content.
• Apply Ethical Reasoning: Assess business decisions through an ethical lens, identifying potential harms and ensuring recommendations are fair, transparent, and responsible.
• Synthesize and Communicate: Create a professional, evidence-based recommendation memo that integrates AI-generated insights with independent critical analysis and ethical considerations.

Social Media Engagement And Financial Performance In Apparel Retail, Emily M. Burke

Student Publications

As companies increasingly rely on social media to engage with consumers, questions remain about whether social media metrics translate into measurable financial outcomes.This study investigated whether changes in Instagram engagement metrics predicted financial performance among publicly traded apparel and lifestyle retail companies. Social media data, including the number of posts and average likes, were collected manually for February 2025 and February 2026. Financial data, including adjusted stock prices and year-over-year quarterly revenue growth, were collected from Yahoo Finance. The final sample included 28 companies after removing outliers and cases with missing data. Multiple linear regression analyses showed that percent change …

Bba405-Management Decision Making Syllabus, Di Wu

Open Educational Resources

Syllabus for BBA405 Management Decision Making course.

Analyzing Big Data-Ai's Impact On Product Innovation And Customer Engagement, Omar Itani, Samer Elhajjar, Ashish Kalra Dr, Manal Yunis Dr.

AMTP Proceedings 2026

In contemporary business landscapes, an organization's capacity to deliver groundbreaking innovative products and foster deep, meaningful engagement with its customers stands as the paramount objective of modern strategic practices. This dual focus not only drives sustainable growth but also fortifies competitive positioning in hyper-competitive markets. Yet, despite the extensive empirical evidence highlighting the transformative benefits of innovation—such as enhanced market share and profitability—and customer engagement—evidenced by loyalty, advocacy, and repeat business—the pivotal role of big data-artificial intelligence (BD-AI) technologies remains strikingly underexplored. In particular, scant attention has been paid to how BD-AI training equips firms to harness these tools effectively …

Deploying Root-Cause Analysis (Rca) Agents: An Implementation Blueprint For Ai-Augmented Marketing Analytics, Seojoon Oh

AMTP Proceedings 2026

Artificial intelligence is widely adopted in marketing, yet many organizations struggle to translate analytical outputs into timely action. This paper presents a practitioner-oriented blueprint for deploying root-cause analysis (RCA) agents within AI-augmented marketing analytics systems. We propose a three-layer reference architecture—semantic data layer, autonomous RCA agent, and action layer—that enables continuous anomaly detection, causal diagnosis, explanation generation, and recommendation delivery. Through simulated e-commerce use cases, we demonstrate how RCA agents identify performance disruptions such as email engagement declines and checkout failures, and translate diagnostic findings into actionable guidance. Beyond system design, we outline organizational workflows, trust-building validation loops, scalability pathways …

Regression With Microdata And Microsoft Excel®, Humberto Barreto

Economics and Management Faculty publications

A free eversion is available at http://ggl.link/regbook with open-access course materials at dub.sh/regcourse.

Smartphone And Sleep, Jesenia Ortiz, Melanie Bonilla, Eduard Reyes, Jose Rivera

Open Educational Resources

The case study and Decision: You are a data analyst advising a university-affiliated research and wellness initiative that is evaluating whether late-night smartphone use should be formally discouraged as part of student wellness guidance. Over the past academic year, administrators have raised concerns about declining sleep quality among students and its potential impact on academic performance, health, and decision-making. While smartphones are an essential tool for communication and learning, their use immediately before bedtime has emerged as a possible contributor to sleep disruption. The initiative must decide whether the available evidence is strong enough to justify recommending that students limit …

When The World Hits Play, Eileen Mazariegos, Danjela Halilaj, Yosmairy Guzman, Freddy Cruz Osorno

Open Educational Resources

The case study and Decision: In 2025, Lehman College administrators face a critical decision: how can music be strategically used to improve student engagement, emotional well-being, and campus connection? The decision must be made now, as rising academic stress, digital isolation, and declining campus interaction are affecting student experience. Leadership must determine whether to invest in a data-driven, campus-focused music platform or continue relying on generalized commercial streaming experiences that do not reflect student needs. The outcome of this decision will shape how students connect emotionally, socially, and academically on campus.

Nyc Fire Causes, Alex Rodriguez, Anyely Rojas Romero, Brianna Itwaru, Shahreen Sneha

Open Educational Resources

The case study and Decision: You are a team of newly hired Data analysts who have been chosen to conduct a case study for the Department of New York City. There is an interest in discovering what exactly is causing fires in New York City. Also, how can we prevent them?