Business Analytics Commons^™

Beyond Words: A Systematic Multimodal Framework For Text, Images, And Extreme Helpfulness In Online Reviews, Alvaro J. Aguado Marin

Dissertations

Online product reviews have become increasingly multimodal, combining text with media-rich elements such as images. However, academic research has largely examined textual features in isolation, overlooking how visual content and its interaction with text shape perceived helpfulness. This dissertation addresses that gap by developing and empirically validating a comprehensive framework capturing how textual, visual, and contextual features collectively influence review evaluation. Grounded in the Elaboration Likelihood Model (ELM) and extended through the Text-Image Elaboration Likelihood Model (TI-ELM), the framework advances understanding of how consumers process content from both user- and business-generated sources. It also lays the foundation for examining emerging …

From Enhancement To Substitution: A Strategic Provocation On Simulation-Based Sport, Grant B. Morgan, Andreas Stamatis

Journal of Applied Sport Management

Advances in artificial intelligence, large-scale machine learning, and simulation technologies are rapidly transforming how sport is played, analyzed, and consumed. To date, most scholarly and industry discussions frame these technologies as tools that enhance embodied sport by improving performance, officiating, media production, and fan engagement. This paper extends that conversation by posing a more provocative strategic question: under what conditions might simulation move from enhancement to substitution? Focusing explicitly on sport as a business and entertainment enterprise, we argue that many of sport’s core sources of cultural and economic value—uncertainty of outcome, narrative continuity, legitimacy, and collective meaning—are structurally …

Digital Zakat And Islamic Fintech: A Bibliometric Analysis Of Global Research Trends And Collaboration Networks (2012–2025), Muhamad Dupi, Fauziyah Adzimatinur

Journal of Middle East and Islamic Studies

This paper examines global research trends, collaborative networks, and prevailing themes in digital zakat and Islamic fintech studies published from 2012 to 2025. We retrieved a total of 194 Scopus-indexed publications using bibliometric methods on September 23, 2025, and analyzed them using VOSviewer version 1.6.20. The analysis set a minimum occurrence threshold of 5 for keywords and a minimum citation threshold of 10 for documents. The results indicate that the number of publications has been steadily rising since 2017, with the most in 2023 (42 documents). Malaysia, Indonesia, and Nigeria were the top contributors, and INCEIF University and the International …

The 2025 Pakistan Floods: Investigating The Human, Agricultural, And Economic Collapse, Abdullah Khan

MSJ Capstone Projects

This project examines the 2025 Pakistan floods as a multidimensional climate disaster that triggered severe human, agricultural, and economic consequences. Moving beyond event-based reporting, the study examines how climate change, weak governance, poor infrastructure planning, and delayed institutional responses intensified the scale of destruction. Using investigative journalism methods, the project combines field reporting from flood-affected areas, in-depth interviews with displaced communities, local activists, and experts, and analysis of official data and policy documents. The findings reveal widespread displacement, loss of livelihoods, food insecurity, and long-term social vulnerability, particularly among marginalized rural populations. Agricultural collapse emerged as a central concern, threatening …

The Conditional Nature Of The Value Premium: Interaction And Cross-Sectional Evidence Across Market Regimes, Samuel L. Klein

Honors Thesis

This thesis examines why value-based investment strategies generate strong returns in some environments yet weaken or collapse in others. Regressions test whether the performance of the book-to-market ratio depends on the investor’s perception of financial health as defined by F-Score and accruals. Across additive regressions, interaction models, cross-sectionals, and heatmap visualizations, a consistent mechanism emerges. The book-to-market effect is strongest when financial information is neither highly reliable nor severely distressed. In these “moderate-quality” environments, investors struggle to fully distinguish the transitory components of earnings from their persistent counterparts. This makes valuation ratios particularly influential. Accrual intensity and financial strength jointly …

Notes From The Editor, Jay Nathan

Journal of Global Awareness

No abstract provided.

Letter From The Editor, Jay Nathan

Journal of Global Awareness

No abstract provided.

Grantspace Beta: Readiness And Strategic Recommendations, Jason B. Cole

Business Analytics Student Projects and Publications

This paper examines the beta readiness of GrantSpace, an AI-powered grant management platform developed by North Light AI, as it pivots from institutional customers to freelance and independent grant writers. As generative AI tools have commoditized basic writing capabilities, competitive advantage in grant technology increasingly depends on supporting creative flow, reducing professional risk, and enabling policy-compliant workflows. Using market analysis, competitive benchmarking, and UX and data-readiness evaluation, this study assesses whether GrantSpace’s current beta experience aligns with freelance grant writer needs.

Spec Ops Tools Point Of Sale (Pos) Data Insights, Liam Mcgovern

Business Analytics Student Projects and Publications

No abstract provided.

Models Of Funding Research And Development Infrastructure In Poland, Marcin Kardas

Studia i Materiały Wydział Zarządzania Uniwersytet Warszawski

Purpose: The aim of this article is to identify and analyse the basic models of funding research and development infrastructure, as well as the challenges associated with them.

Methodology: The research methods used include interdisciplinary literature studies (economics, law, management), regulations and reports, as well as interviews with stakeholders.

Results: Four models for financing R&D infrastructures embedded in the state aid regime were identified: scientific, mixed, experimental, and economic. National experiences with their application were discussed. Their characteristics, challenges, and risks were presented. Discrepancies in terminology were noted, and directions for their interpretation were suggested.

Research limitations/implications …

Forecasting Aviation Carbon Emissions With Tree-Based Machine Learning: A Case Study Of Turkish Airlines Operational Data, Demet Dağlı Phd, Ednan Ayvaz Phd

International Journal of Aviation, Aeronautics, and Aerospace

The global aviation industry plays a critical role in economic development and international connectivity. However, it also contributes significantly to environmental challenges, particularly through fuel consumption and carbon emissions. The aviation sector is responsible for approximately 1–2% of global CO₂ emissions, and its environmental impact is expected to increase substantially by 2050. This study proposes a machine learning (ML)-based decision support framework to forecast carbon emissions in the airline sector. Using Turkish Airlines’ quarterly operational data from 2008 to 2023, Decision Trees, Random Forest, XGBoost, and Extra Trees models were applied to predict carbon emissions. Key variables include revenue passenger …

Warehouse Reconfiguration With Ats Lab, Ed Cantor, Dana Pazhouhesh, Mathew Oshinski, Samantha Sanchez

Senior Design Project For Engineers

The ATS Lab Warehouse Reconfiguration project is a collaborative effort between Kennesaw State University’s Department of Industrial and Systems Engineering and ATS Lab, located in Marietta, GA. The goal of this project is to redesign the current warehouse layout to enhance operational efficiency, reduce travel time, and implement sustainable inventory management practices, including 5S and Kanban. Aaron Roob, ATS Operations Manager, and Franklin Hungerford, Continuous Improvement Manager, led this initiative. Our team, “Sick Sigma’s,” is composed of Ed Cantor, our Project Manager, who is working as an intern at ATS during this process; Dana Pazhouhesh (Process Engineer); Matthew Oshinski (Quality …

Modeling Private Debt Using U.S. Consumer Expenditure Data, Stsiapan Dziamentsyeu

Honors Capstones

This project models private household debt among U.S. consumers using data from the Consumer Expenditure Survey (CES) between 2013 and 2023. The analysis focuses on identifying how demographic and economic characteristics, such as income, housing expenditures, education, and occupation, relate to non-mortgage “other” loan balances. After initial model development produced poor residual behavior due to zero-inflation from imputed debt values, the analysis was refined to include only households reporting verifiable debt. Multiple modeling techniques, including AIC-based variable selection and Lasso regularization, were compared under a five-fold cross-validation framework. The Lasso model achieved superior predictive accuracy (RMSE = 1.55, MAE = …

An Assessment And Comparison Of Expert System Performance And Large Language Model Performance, Carter A. Lange

ATU Honors Projects

This study compares the performance of knowledge-based expert systems (KBES) and large language models (LLMs) in narrow-domain tasks. Using Akinator as the representative KBES and ChatGPT as the representative LLM, fifty character-identification trials were conducted. Results show that both systems ultimately succeeded in identifying all characters, but their efficiency and accuracy differ. Akinator required fewer incorrect guesses and produced no identifiable total failures, or “errors,” while ChatGPT occasionally erred beyond possible continuation despite similar average guess counts. Statistical analysis revealed no significant difference in the number of questions required before success, but McNemar’s test indicated that ChatGPT made significantly more …

The Impact Of Parking Services On Mental Health At Bowling Green State University, Callie Oyster

Honors Projects

The current research investigates the effects of parking on daily stress and emotional stability and perceptions of equity at Bowling Green State University (BGSU). It draws from the perspective of students, faculty, and staff via a quantitative survey of over 500 respondents that assessed parking behaviors, mental health indicators, and institutional trust. The results indicate that unpredictability, rather than simply lack of space, is the largest source of stress related to parking. Commuter and resident students reported arriving at least 20-30 minutes earlier than expected. Faculty, staff, and students reported feelings of anticipatory anxiety about driving to BGSU, with emotional …

The Artificial Intelligence (Ai) Economy In The Mountain West, 2025, Dre Boyd-Weatherly, Sean Curry, Krish Sharma, Kristian Thymianos, William E. Brown Jr.

Economic Development & Workforce

This fact sheet reports on the artificial intelligence (AI) readiness of five Mountain West metropolitan statistical areas (MSAs): Phoenix-Mesa-Chandler, AZ; Salt Lake City-Murray, UT; Denver-Aurora-Centennial, CO; Las Vegas-Henderson-North Las Vegas, NV; and Albuquerque, NM. Using data from the Brookings Institution's “Mapping the AI Economy” report, the MSAs are benchmarked based on their overall population, employment, talent, adoption, and innovation.

Beyond Compliance: Rethinking Ethical Accounting Through Ai And Esg, Rafael L. Portillo

Honors Program Theses and Research Projects

With the increasing adoption of these modern technologies in world markets while maintaining these ethical principles, there is an increasing need for alignment between technology development and ethical responsibility. For instance, in the world of accounting, there is an increasing demand to maintain alignment between technology development and ethics. It is for this reason that these researchers have chosen to explore the link between Artificial Intelligence, ESG, and financial reporting ethics.

The goal of this study is to look at new concerns and moral risks that appear when ESG expectations, AI systems, and accounting practices interact. Earlier research usually studies …

Integrating Data Analytics: Exploring The Best Methods To Evaluate Players’ Performance To Help Gain A Competitive Advantage On The Football Field, Tanner F. Fountain

Finance Undergraduate Honors Theses

To succeed in the world of sports, leaders need to uncover and utilize any advantage possible in order to gain a competitive advantage over their competition. I discuss how leaders of a sports organization, specifically within the Arkansas Razorback football program, implement the use of analytics on and off the field, as well as how they use their data to create visuals, find potential strengths and weakness, and ultimately help them be more prepared for gameday. Using my personal experience as a Student Analyst for the Razorbacks, along with supplementary information, I share the latest tactics and the strategies for …

The Impact Of The Covid-19 Pandemic On National Hockey League Fan Attendance, Ramon E. Rivera

Electronic Theses, Projects, and Dissertations

The COVID-19 pandemic struck swiftly around the world, causing several societal functions and normalcies to adapt or shut down completely. This culminating project explores the effects of COVID-19 on arena fan attendance of the National Hockey League (NHL). This project was guided by the following three research questions: Q1 – How did the NHL arena closures affect fan attendance during the COVID-19 pandemic? Q2 – What factors influenced NHL fan arena attendance before the start of the COVID-19 pandemic? Q3 – What factors impacted the NHL arena fan attendance after the conclusion of the COVID-19 pandemic? An empirical model developed …

Feedback Strategies In The Market With Uncertainties, Mustapha Nyenye Issah

Graduate Theses and Dissertations (2019 - present)

This paper explores how established firms use strategic advertising to deter new competitors in uncertain markets. Specifically, it models a situation where market demand evolves unpredictably - captured by the CKLS stochastic process, and the incumbent firm may be either strong or weak, a fact hidden from potential entrants. For a company already in the market, advertising is not just about driving immediate sales, it is a strategic tool to project an image of strength and deter potential new competitors. On the other side, a business thinking about entering that market faces a high-stakes, irreversible decision. It will typically hold …

Fragmentation In The U. S. Fed Cattle Market: Implications For Price Transparency And Discovery, Taralee M. Hudson

Department of Agricultural Economics: Dissertations, Theses, and Student Research

The U.S. fed cattle market is one plagued by recurring stakeholder concern. Market participants frequently raise questions about the transparency of fundamental information under existing reporting frameworks, and the extent to which Private Negotiation, the dominant trading institution, effectively facilitates price discovery. Although extensive research has sought to address these issues, much of it has failed to account for the market’s increasingly fragmented structure. This thesis is comprised of three chapters that collectively examine price transparency and discovery through the lens of market fragmentation. Each chapter presents research related to the fed cattle market and is intended to stand …

Is Complexity Virtuous?, Ryan Elmore, Jack Strauss

Business Information and Analytics: Faculty Scholarship

(Kelly et al., 2024) show that increasing complexity in linear models, with potentially thousands of predictors, is "virtuous". Their work contradicts the dogma of model selection, including the Principles of Parsimony and Occam's Razor. They find that when the number of predictors far exceeds the number of observations, the bias-variance trade-off breaks down, the variance declines, and the Sharpe ratio increases. In the context of ridge regression, we find that very high complexity coupled with large penalty terms (excessive shrinkage) generate forecasts that converge to a rolling window of past returns. For example, we show the past twelve-month moving average …

Do Growth Partnerships Improve Early-Stage Startup Performance? An Investigation Into Revenue Growth, Operational Efficiency, And Investor Attraction, Brendan P. Drew

Faculty Curated Undergraduate Works

This research investigates how teaming up with seasoned advisors affects young startups’ success, judged by sales gains, smoother operations, or drawing in backers. New companies tend to spark innovative ideas and hiring, but a sizable chunk fails before standing on their own. Weak planning, tight funds, or struggling to impress investors usually spell trouble early on. While programs like startup boosters got loads of attention in past reports, deeper ongoing alliances - where founders partner firsthand with outside mentors, are still barely touched upon in scholarly work.

The study uses both numbers and personal views, pulling data from eight new …

Cv: Apostolos Xanthopoulos (Business Analytics), Apostolos Xanthopoulos

Accounting, Business Analytics, Economics, and Finance Department Faculty Curricula Vitae

No abstract provided.

Keurig Dr Pepper Strategic Audit, Huy Le, Ethan Zen, Sierra Perkins, Jack Hudson

Honors Program: Senior Projects (Public)

We analyze Keurig Dr Pepper's current strategic position following its acquisition of JDE Peat's. We determine its strengths, weaknesses, opportunities, and threats within its market share and make recommendations for future business ventures and strategic positioning.

Investigating The Relationship Between Noun Classes And Plant Folk Taxonomy In Chasu Language Of Kilimanjaro Region In Tanzania, Peter Rabson Mziray

Journal of Humanities and Social Sciences

The current study investigates the relationship between noun classes and plant folk taxonomy in Chasu (G 22). The study focuses on two objectives: the first objective is to describe the plant folk taxonomy in Chasu and the second objective is to determine the relationship between noun classes and plant folk taxonomy in Chasu. Data were collected from rural villages in Same and Mwanga districts by using free listing, field interviews (jungle-walk-and-identify), and written texts containing Chasu plant names. The findings reveal that Chasu folk taxonomy reflects different ethnobotanical categories; including a unique beginner which is mmea/mimea ‘plant(s)’, and three life …

Localized Nuclear Utility For Erau Environmental Improvement, Timothy Schroeder, Jacob Blanton, Christopher Anderson

Sustainability Conference

The reliance of Embry Riddle Aeronautical University (ERAU) on energy supplied by Florida Power & Light (FPL), which currently draws large amounts of power from fossil fuel sources, is continuously suboptimal both environmentally and financially. This study proposes assessing the feasibility of deploying a campus scale nuclear reactor tailored to ERAU’s power consumption profile. This serves as a path toward reducing greenhouse gas emissions and limiting dependence on external fossil fuel generation. The methods used are primarily literature review(s), and numerical analysis on comparable use cases. The literature reviews focused on design theory and yield of nuclear reactors on a …

Utilizing A Virtual Firewall Appliance For Introducing And Reinforcing The Concepts And Implementation Of Devices To Improve Security In A Computing Environment, Stanley Mierzwa, Christopher Eng

Center for Cybersecurity

The educational realm of higher education cybersecurity curriculum continues to evolve to provide more opportunities for experiential hands-on and work role-related practical applications of technology solutions. Gaining greater competencies is quickly becoming a normal requirement for such programs that are designated by the National Security Agency Center of Academic Excellence programs. The work roles of cybersecurity include a variety of knowledge, skills, and abilities, depending on the category of the activity or task. Firewalls have been a staple cybersecurity, network security, and information security device and strategy to protect organization networks and computing environments. This paper will provide details and …

Pause For Thought – Exploring Ai Error In The Assessment Of Industrial Sustainability Reports, Jake Mooney, Colm Tormey, Cillian Gleeson, Shane Hoban, Dylan Kirby, Christine Nangle

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

The Influence Of Live Shopping On Consumer Purchase Decisions: Analysing The Role Of Social Commerce In Indonesia’S Retail Sector, Andi Irfan, Andi Nur Yadin S, Hafipah Hafipah, Yusram Adi

The South East Asian Journal of Management

Research Aims: This study examines the influence of live shopping on consumer purchase decisions in Indonesia, focusing on key features such as interactivity, promotional urgency, and influencer marketing. It also investigates the mediating effect of consumer trust and the moderating role of social commerce experience.

Design/Methodology/Approach: A quantitative approach was employed, using survey data from 265 Indonesian consumers who engage in live shopping. The analysis was conducted using Partial Least Squares Structural Equation Modelling (PLS-SEM) in SmartPLS.

Research Findings: Interactivity, promotional urgency, and influencer marketing significantly impact consumer purchase decisions, both directly and indirectly through consumer trust. Promotional urgency …