Business Analytics Commons^™

The Startup Ecosystem In Southern Nevada: Growth, Energy, And Emerging Entrepreneurship In 2025, Len Jessup, Sean Curry

Policy Briefs and Reports

The startup ecosystem in Southern Nevada has undergone significant transformation during the past decade, evolving from a fragmented and nascent environment into a dynamic and increasingly coordinated landscape. This study examines the growth of the Southern Nevada startup ecosystem, analyzing key components such as funding sources, incubators, accelerators, and public-private collaborations. Utilizing both quantitative and qualitative data, including investment trends, economic impact reports, and interviews with over 100 stakeholders, this policy brief provides a comprehensive assessment of the strengths and gaps within the ecosystem. Key findings indicate that while the region has made substantial progress, particularly in fostering early-stage investments …

From Tarmac To Timetable: A Data-Driven Study Of Airline Delay Performance In Nigeria, Kelechi V. Iwuagwu

Dissertations, Theses, and Capstone Projects

This capstone project investigates the patterns, causes, and impacts of flight delays in the Nigerian aviation sector from January 2024 to January 2025. Utilizing a dataset containing flight details—including scheduled and actual departure/arrival times, routes, and airline information—the study employs advanced data analytics and visualization techniques to uncover critical insights. The research highlights discrepancies between scheduled and actual flight performance, identifies delay patterns across airlines and timeframes, and explores the ripple effects of delays on subsequent flights.

Furthermore, Nigerian passengers frequently express frustrations over flight delays, cancellations, and poor communication from airlines, yet no publicly available data systematically documents these …

Applied Optical Character Recognition And Large Language Models In Augmenting Manual Business Processes For Data Analytics In Traditional Small Businesses With Minimal Digital Adoption, Jose Ramon S. Ilagan, Joseph Benjamin R. Ilagan, Zachary Matthew Alabastro

Business Insights Laboratory for Development (BUILD)

The local business landscape in the Philippines presents a slow adoption to digitization. There are fears of inaccurate results and limited technical proficiency. Data analytics and artificial intelligence (AI) are crucial for business growth. By understanding the performance of stock-keeping-units (SKU) with technology, businesses can find better ways to handle products to increase profitability. In exploring optical character recognition (OCR) and large language models (LLM), a software pipeline can help businesses analyze handwritten sales data for business intelligence. The research aims to develop a system for translating logbooks into metrics by augmenting manual business processes performed by staff. The application …

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.

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 …

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, …

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 …

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 …

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 …