Business Analytics Commons^™

Understanding The Incidents On Legacy Airlines With Explainable Artificial Intelligence And Text Mining: Case Study Top 5 Us Airlines, Dean Sutherland, Mehmet Burak Cankaya

Beyond: Undergraduate Research Journal

Aircraft incident data from the Federal Aviation Administration between 1978-2023 was analyzed for the top five airlines in the United States: Delta Air Lines Inc., American Airlines Inc., Alaska Airlines Inc., Southwest Airlines Co., and United Airlines Inc. This analysis aimed to predict conditions with a higher chance of causing injury and determine the best machine-learning model for this prediction. The target variable of "injuries occurred" is processed through machine learning methods such as Naïve Bayes, logistic regression, and XGBoost. This was to predict the injuries and understand and explain the complex fault mechanism with explainable artificial intelligence. The XGBoost …

Crypto Accounting Market Dynamics: Advanced Econometric Analysis Of Earnings Impact With Bert-Powered Genai Models, Karina Kasztelnik, Steven Campbell, Eva K. Jermakowicz

Journal of Global Awareness

This study is, the authors believe, a groundbreaking investigation into the impact of cryptocurrency news on the earnings of publicly traded companies. Using advanced Generative AI (GenAI) models and the BERT framework for sentiment analysis, we integrated comprehensive data from the Financial Modeling Prep API. This enabled us to employ a rigorous event study methodology and advanced machine learning algorithms. Valuable insights were derived from the BERT model, shedding light on the reasons behind abnormal returns and facilitating a thorough analysis of material and immaterial impacts. The study’s findings highlight the significant influence of both positive and negative cryptocurrency news …

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.

Using Predictive Analytics To Reduce Small Business Cost Estimation Error, Diana Solt

Journal of Applied Packaging Research

Small and medium packaging companies generally employ the use of custom-developed quoting programs to bid goods and services. Custom bid programs (e.g. Excel) are used to capture the company-specific costs of production. The inputs of variable costs, such as machine rate and scrap rate, are critical to get correct; however, companies often rely on educated guesses and industry expertise to quote packaging products to end-users. Due to the guesswork involved there can be a financial difference between the quoted costs and actual costs. This variance is often the cause of significant lost dollars. Price, if not determined correctly, could negatively …

From Answering Questions To Replacing Staff: Analyzing The Effect And Possibilities Of Artificial Intelligence On The Structure Of Organizations, Caleb J. Cissna

Honors Projects

Over the last several years artificial intelligence has risen in commonality, availability, knowledge and usage across multiple industries, including business firms and organizations. Terming the multitude of tasks that are completed by these machines “artificial intelligence” is somewhat dismissive – the broadness of the tasks is unmatched by most any other innovation within the 21^st century. The widespread nature of artificial intelligence today have advanced many organizations, with many using the technology to create competitive advantage for themselves in certain industries, while others have seen it level the competitive field between firms in a given industry. Following this research …

Projectpath: Turn Skills Into Stories, Brady M. Katler, Gregory Lontok

Honors Thesis

In today's job market, even just landing an interview can prove to be quite the challenge. With ProjectPath, we provide applicants the tools to transform a job application into a tailored project. These projects have been proven to help users stand out among all the competition.

Leading Like Jesus In Organizations: Assessing The Practices Of Servant Leadership, Keenan A. Siegal

M.S. in Leadership

This project explores the concept of servant leadership through examining biblical accounts of Jesus Christ’s life and teachings. This project highlights how Jesus exemplified key principles of servant leadership, including humility, empathy, self-sacrifice, and a deep commitment to serving others before himself. The project contrasts Jesus’ leadership style with modern leadership models and discusses its relevance in today’s professional settings. Overall, it aims to explore a transformational approach to leadership in which it that prioritizes compassion, integrity, and the empowerment of others over meeting the needs of the business or serving yourself as a leader.

Colaboración Interdisciplinaria: Tablero De Control Para Una Institución Politécnica R01 En Los Ee. Uu. [Libro], Cristo Leon Ph.D., Victor Hugo Guzmán Zarate Ph.D.

STEM for Success Showcase

Introducción
En el ámbito académico, la colaboración interdisciplinaria emerge como un imperativo estratégico y un desafío multifacético. Este estudio tiene un enfoque eminentemente práctico y busca diseñar y aplicar una herramienta específica —un tablero de control interactivo— para facilitar y mejorar la colaboración interdisciplinaria en un entorno académico real. La complejidad inherente a este desafío se refleja tanto en el dinamismo del ambiente investigativo como en la falta de definiciones operacionales cohesivas que faciliten la evaluación y visualización de la colaboración interdisciplinaria. Para abordar estos desafíos, el presente estudio se llevó a cabo en la Facultad de Ciencias y Artes …

Enhancing Online Education Through Sentiment Analysis And Complex Systems Modelling, Helen Josephine V L, Sharad Gupta, Rosewine Joy, Manjari Sharma

Northeast Journal of Complex Systems (NEJCS)

This research explores the application of sentiment analysis through the lens of complex systems modelling to enhance the quality of online certification courses, with a particular focus on global platforms such as Coursera. The COVID-19 pandemic catalyzed significant growth in online learning, creating an urgent need for adaptive and student-centric approaches to ensure relevance and effectiveness. Leveraging unstructured textual data from student reviews of courses, this study integrates methodologies from systems science, computer science, and education to address real-world challenges in online education. By employing both lexicon-based (SentiWordNet and VADER) and supervised machine learning techniques (Multinomial Naive Bayes, Support Vector …

The Impact Of Apis On Startup Growth And Ipo Success, Sean Wu, Ethan Esparza, Jonathan Hersh

Student Scholar Symposium Abstracts and Posters

This research examines the impact of Application Programming Interfaces (APIs) on startup success, focusing on acquisition outcomes, IPO performance, and value creation versus capture. Grounded in digital platform theory, we explore how APIs help startups integrate into ecosystems, increasing scalability, visibility, and access to resources. Using Crunchbase data and visual analysis in RStudio, we compare API-enabled startups with others across performance metrics. Our findings show that startups with APIs raise more capital at IPO and employ more full-time staff, signaling greater investor confidence and organizational scale. Industry-level analysis reveals that API benefits vary by sector, with stronger correlations in Financial …

Analytics & Insights Internship At Market Performance Group, Ava Mccrary

Information Systems Undergraduate Honors Theses

An Honors Thesis discussing the growth of analytics in the corporate world.

Incorporating Media Coverage And The Impact Of Geopolitical Events For Stock Market Predictions With Machine Learning, Vinayaka Gude, Daniel Hsiao

Faculty Publications

This paper explores the impact of the Israel–Palestine conflict on the stock performance of U.S. companies and their public positions on the conflict. In an era where corporate positions on geopolitical issues are increasingly scrutinized, understanding the market implications of such statements is critical. This research aims to capture the complex, non-linear relationships between corporate actions, media coverage, and financial outcomes by integrating traditional statistical techniques with advanced machine learning models. To achieve this, we constructed a novel dataset combining public corporate announcements, media sentiment (including headline and article body tone), and philanthropic activities. Using both classification and regression models, …

The Electric Revolution: A Quantitative Analysis Of Tesla's Sales Growth, Mason Bravo

Accounting Undergraduate Honors Theses

This thesis explores the key factors influencing Tesla's sales growth within the evolving electric vehicle (EV) market. It uses regression analysis to quantify the impact of average sales price, charging infrastructure, EV demand, and macroeconomic performance on Tesla's vehicle sales. The analysis is based on data from Tesla's annual reports, the Alternative Fuels Data Center, the International Energy Agency, and the Bureau of Labor Statistics. Key findings include a significant negative correlation between average sales price and vehicle sales, and a strong positive correlation between charging infrastructure and sales. These insights offer valuable implications for Tesla’s strategic decision-making, investor analysis, …

A 360 Perspective About Corporate Finance, Braden C. Fancher

Finance Undergraduate Honors Theses

This thesis provides a comprehensive reflection on the author's experience in the “Finance 360” rotational internship program at Burns & McDonnell, a program designed to expose interns to the diverse functions within a corporate finance and accounting department. Over the course of 10 weeks, the author completed 12 different rotations, gaining hands-on experience across various financial disciplines. This paper highlights five rotations—Operational Financial Analysts, Financial Analytics, Internal Audit, Project Accounting, and Investments—that had the greatest impact on reshaping the author’s understanding of corporate finance. These experiences revealed the deep integration of finance with accounting, analytics, and strategic decision-making, far beyond …

Analytics Insights From Text: Machine Learning, Ai, And Sentiment Analysis On Beige Books, Charlie Smith

Graduate Theses and Dissertations (2019 - present)

Business analytics is about drawing actionable insights from data. These distinct but connected essays represent a novel approach to explore how natural language processing (NLP) advances and machine learning can transform unstructured text data into actionable conclusions. Essay 1 provides a broad framework. Essay 2 strengthens the sentiment analysis with the most recent artificial intelligence methodologies for capturing nuanced sentiment in complex texts. Essay 3 applies those insights to forecast recessions using topics that can be readily interpreted and applied.

The research demonstrates how these methodologies can be applied to enhance understanding of the same dataset, Beige Books. Published by …

Comparative Analysis Of Regression And Random Forest Models For Player Performance Prediction In The Mls, Joshua Clement Madeti

Senior Honors Theses

Advanced technology and analytics have transformed the world and have benefited several industries throughout, the sport industry being one of them. Data is constantly generated during sports and requires post-game or post-season analysis which is crucial to team and player success. In this paper, the researcher will focus on the impact of analytics on soccer and soccer players. With over three billion active fans, soccer is the most famous sport in the world yet, when it comes to analytics, it is lagging. The thesis includes a comparative study of multiple linear regression and random forest regression to explore whether these …

Shortage To Surge - Studying The Post-Covid-19 Guitar Retail Market, Jed H. Kim

Data Science Undergraduate Honors Theses

The COVID-19 pandemic was one of the most catalyzing events of the 21st century, leading to supply chain disruptions, lifestyle changes, and a massive shift towards digital technologies. During the COVID-19 lockdown, many people had more free time, and over 16 million individuals learned to play guitar in the first 2 years of the pandemic. According to a study by Fender, 62% of these new guitar learners cited the pandemic as their primary reason for learning the instrument. However, pandemic policies and supply chain disruptions meant that many guitar retailers were unable to satisfy demand, and backorders accumulated. After the …

The Digital Incorporated Worker Narrative: A Mixed Methods Study Of Digital Capital, Work Selection, And Outcomes In The Fourth Industrial Revolution, Tracie King

Dissertations

Digital technology permeates society and industry, making digital-ready workers necessary for firms of all sizes as a firm seeks competitiveness in the market (Bergson-Shilcock et al., 2023; de Ruyter et al., 2018; Gorski et al., 2022; Karaboğa, 2023; Kim et al., 2017; Qureshi Zia, 2019). Firms seeking digital-ready workers face a complex digital divide that creates a worker shortage (Bergson-Shilcock et al., 2023; Karaboğa, 2023; Qureshi Zia, 2019). This study aims to describe workers' work selection, work experience, and outcomes in a complex digital society.

Most digital divide research focuses on the individuals excluded from owning, accessing, and having skills …

U.S. Options Exchange-Traded Funds: Performance Dynamics And Managerial Expertise, Elroi Hadad, Davinder K. Malhotra, Robert Mcleod

School of Business Faculty Papers

This study examines the performance dynamics of U.S. options exchange-traded funds (ETFs), whose investment strategy involves options contracts. Analyzing monthly returns data from February 2014 to April 2023, we evaluate the risk-adjusted performance, volatility, and market sensitivity of U.S. options ETFs relative to U.S. and global equities. Using Carhart's four-factor model, we find that U.S. options ETFs yield lower monthly returns than those of U.S. equities but outperform global equities, suggesting potential diversification benefits. While U.S. options ETFs underperformed during the COVID-19 pandemic, they demonstrated resilience thereafter, offering higher rewards for downside risk. We also find that managerial expertise may …

Decoding The Algorithm: The Mathematics Behind Tiktok’S Short-Form Content Success, Ashley N. Lynch

Honors Scholar Theses

Within the realm of social networks, TikTok has become the central hub for short-form video content. The network’s unique ability to capture individual preferences using predictive analytics has greatly contributed to its massive success, allowing the company to optimize its performance and content personalization. In an age where digital media have such a significant influence on society, it is essential that users develop an understanding of how social network algorithms function to make more informed online decisions. Although TikTok’s technological system is primarily undisclosed, the platform certifiably leverages several key mathematical principles within its algorithm to achieve its core goals …

The Impact Of Ai On Salary Trends And Employment Projections, Anastasiia Semerianova, Annie Chen, Rebecca Mui, Ekaterina Viro, Hui Ting Huang, Thiy Alsaidi

Publications and Research

This project is designed to research the potential future impact of AI implementation on job displacement across key industries such as healthcare, manufacturing, and others. It aims to analyze how automation and AI technologies influence employment trends and workforce demands, as well as the correlation between AI integration and changes in salary structures. The goal is to provide data-driven insights that can inform policymakers, educators, and industry leaders on how to prepare for and adapt to evolving labor market dynamics.

Gap, Inc. : A Strategic Audit Of Gap, Inc. Company, Amber Hanson, Ike Mcley, Sophie Thomas, Avery Plessel, Kira Pavlik

Honors Program: Senior Projects (Public)

The following paper is a comprehensive overview of the company Gap, Inc., a leading global retailer with a diverse brand portfolio that includes Gap, Old Navy, Banana Republic, and Athleta. They compete in the Family Clothing Industry through their operation of over 3,352 brick-and-mortar stores along with offering their digital shopping platform to align with changing consumer preferences. Gap, Inc. plans to maintain financial rigor, reinvigorating its brands, and strengthening its platform. Their strengths are found in their expanding e-commerce segment and their strong commitment to sustainability. Through a broad differentiation strategy, Gap, Inc. targets a diverse consumer demographic across …

Telehealth And Medical Consumerism In The Digital Age, Yibing Hu

Finance Undergraduate Honors Theses

This paper discusses the role of telehealth in medical consumerism. As a cheap and convenient model of healthcare, telehealth enables patients to access healthcare regardless of location, as long as they have the necessary technology.

In the current healthcare landscape, insurance policies and high costs push patients to act as consumers of medical services. With the rise of telehealth as another healthcare option, the medical sector further becomes consumer-oriented. This ultimately changes the way patients interact with healthcare.

Sustainabilty Reporting And E-Waste Management In The Electronic Industry, Sai Prasad Pochampally

Electronic Theses, Projects, and Dissertations

The rapid expansion of the electronic and electrical equipment (EEE) industry has led to a critical surge in electronic waste (e-waste), which is currently growing at an annual rate of 4%. E-waste contains hazardous substances such as mercury, cadmium, and lead, which contribute significantly to environmental degradation and pose serious health risks—particularly in low- and middle-income countries where proper recycling infrastructure is lacking. In response, electronics manufacturers increasingly rely on Environmental, Social, and Governance (ESG) reporting frameworks to demonstrate transparency and accountability. However, a significant gap persists between what companies choose to report and what stakeholders—particularly consumers—expect to see.

This …

Challenges The Sporting Industry Faced During Covid-19 On Fan Attendance: The Case Of The National Basketball Association, Marlon Long

Electronic Theses, Projects, and Dissertations

This culminating experience project investigates the challenges the sporting industry faced during the COVID-19 pandemic, with a focused look at the National Basketball Association. The research questions are: (Q1) How did the NBA arena shutdowns impact fan attendance for each team during the COVID-19 pandemic? (Q2) What factors influenced NBA arena attendance before the COVID-19 shutdowns? (Q3) What factors influenced NBA arena attendance after the COVID-19 shutdown? The data collected includes all 30 NBA teams from 2019 through the 2024 seasons. The research questions were analyzed using multilinear regression analysis and comparison of attendance data over 6 seasons including the …

Understanding Household Financial Stability: Examining The Effects Of Inflation And Income, Cyndy E. Gutierrez-Fierros

Electronic Theses, Projects, and Dissertations

This study aims to investigate the impact of inflation on US household financial stability from 2013 to 2023. As inflation rises, individuals’ purchasing power erodes leading to influence economic behaviors. Behaviors such as spending, saving, and borrowing should be a priority concern in the US economy. Results of this study reveal that inflation does not affect financial well-being and its direct impact on household stability is statistically weak. Regression testing shows that income emerges as the most significant factor. Most noticeably income influences savings and debt management in a positive way. As per these results, economic policies should be focused …

Leveraging Data Analytics For Enchanced Economics Prediction: A Study Of Predictive Models And Economics Indicators, Janelle Rueda

Electronic Theses, Projects, and Dissertations

The purpose of this project is intended to investigate the lack of use of data analytics in predicting and managing the impacts of economic crises. This project investigates what economic key factors can be used to create a framework model and evaluate the effectiveness of the key economic indicator being tested as early warning signs. The project uses programs such as Excel, RStudio, and Tableau for the collection of historical data, and regression analysis to determine if certain economic indicators have a statistically significant correlation with GDP, that may help enforce systems in place to help us mitigate economic crises …

Emotion Analysis And Topic Modelling Of Supply Chain Discussion During The Covid-19 Pandemic, Suhong Li, Fang Chen, Thomas Ngniatedema

Information Systems and Analytics Department Faculty Journal Articles

This study aims to investigate the supply chain discussion during the COVID-19 pandemic using the supply chain tweets collected between March 2020 and May 2022 globally. The findings reveal an evolving sentiment trajectory: while the users’ sentiment remained neutral in 2020 and 2021, a negative sentiment surged starting in January 2022. Moreover, an emotion analysis indicates a mix of sadness and optimism among Twitter users, with anger gradually intensifying from June 2021 onward. Furthermore, topic modeling reveals distinct themes discussed each year. In 2020, major topics centered around the government’s response to COVID-19, food and medical supply chain crises. By …

Strategic Audit: Hilton Worldwide Holdings, Inc., Jenna Derowitsch, Tram Ngo, Tenley Katt, Makenna Henning, Lexi Soukup

Honors Program: Senior Projects (Public)

This comprehensive strategic audit analyzes the internal and external environment in which Hilton Worldwide Holdings Inc. operates, in addition to auditing the strategic drivers that have drove the iconic hospitality firm to success. Hilton Worldwide Holdings, Inc. (Hilton) is a valued hotel chain that has been operating as a global leader in the hospitality industry for more than 100 years. The firm sets an industry standard to provide high-quality hotel services and a reliable stay for more than 200 million guests annually and continues to develop its portfolio of destinations. Technological advancements and shifting customer preferences challenge Hilton to remain …