Management Information Systems Commons^™

Ai-Based Requirements Analysis Assistant That Applies Explicit Knowledge And Includes Humans In The Loop, Steven Alter

Business Analytics and Information Systems

This exploratory paper builds on the EMMSAD 2024 paper “Could a Large Language Model Contribute Significantly to Requirements Analysis?” Eight versions of each of three LLM prompts (for system structure, analysis, and recommendations) were applied to three 3000+ word case studies. Those versions expressed different “treatments” including a control with no RAG augmentation, a version with RAG augmentation based on an analysis template used by MBA and EMBA students, and six other versions based on theoretical approaches such as activity theory, a BPM design space, work system principles, and so on. The LLM responses were somewhat reliable for summarizing system …

Digital Transformation In Indonesia Healthcare Systems Towards Intelligent Accountability: A Critical Discourse Analysis, Ghina Fitri Ariesta Susilo

Journal of Global Awareness

This research studied the digital transformation implemented in the Ministry of Health in Indonesia. It happened after the COVID-19 outbreak forced the government to act more rapidly to provide real-time information. To date, the digital transformation initiative in the Ministry of Health Indonesia aims to reach more intelligent accountability by establishing a Digital Transformation Office (DTO). This study used critical discourse analysis to study how the discourse of technology became a government tool, particularly using social media accounts created by DTO. The result shows that DTO’s work and progress since its establishment from the perspective of social media discourse aim …

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 …

Histodx: Revolutionizing Breast Cancer Diagnosis Through Advanced Imaging Techniques, Wishal Arshad, Thhreem Masrood, H. M. Shahzhad, Hassan A. Ahmed, Syed Hamza Ahmed, Hafiz Muhammad Tayyab Khushi

Business Faculty Publications

Breast cancer is the second leading cause of mortality among women worldwide, highlighting the need for efficient histopathology-based screening methods for early diagnosis. This study introduces HistoDX, a deep learning framework to classify Invasive Ductal Carcinoma (IDC) using 277,524 histopathology image patches ( 50×50 pixels) from Paul Mooney’s IDC dataset on Kaggle, comprising No Cancer and IDC(+) classes. HistoDX employs a preprocessing pipeline with normalization, data augmentation, and class balancing via oversampling and weighted loss to address the class imbalance. A customized convolutional neural network, built on EfficientNetV2-B3 with additional layers, achieves 97% accuracy and a 0.91 ROC-AUC score on …

Case Study & Lessons Learned: Creation And Pilot Of A Regional Small Business Accelerator And Cybersecurity Assessment Program, Stanley Mierzwa, Randall D. Pinkett, Willie Mae Veasey, Debra Price

Center for Cybersecurity

Startup companies and originated small businesses are an essential aspect of our nation’s economy, contributing to many organizations that aim, in some cases, to become larger enterprises. As a small business is in the mode of sustaining and growth, minimizing cybersecurity and business resilience threats may not be front and center on the minds of these entities. This paper will provide a case study background about a project and effort – the New Jersey Cybersecurity Regional Cluster (NJCRC) - that has contributed significant outreach to New Jersey small businesses to provide free cybersecurity risk assessments to help small businesses prepare …

Institutional Constraints And The Ai Automation Gap: A Case Study Of Proposal Evaluation In Federal Ict Procurement At U.S. Customs And Border Protection, Farhan Bin Amjad

Harrisburg University Dissertations and Theses

This research investigates the institutional constraints shaping the adoption of AI-assisted proposal evaluation in federal ICT procurement, using U.S. Customs and Border Protection (CBP) as a case study. Although AI tools are increasingly used by contractors to generate proposals, their integration into government evaluation processes remain limited. Using institutional theory as an analytical framework, this study examines how regulative rules, normative expectations, and cognitive assumptions jointly reinforce a risk-averse procurement culture that inhibits automation. Through a mixed-methods approach—comprising policy analysis, procurement data from FPDS and USAspending.gov, and an elite interview with a CBP contracting officer—the research identifies key barriers to …

Automation Mismatch: How Contractor Ai Adoption Challenges Institutional Procurement Norms At U.S. Customs And Border Protection (Cbp), Farhan Bin Amjad

Beyond the Project Horizon: Journal of the Center for Project Management Innovation

This letter explores a growing strain in the U.S. federal procurement: the automation mismatch between AI-powered proposal development by contractors and the regulation-bound evaluation systems at agencies like U.S. Customs and Border Protection (CBP). Tools like Vultron and Unanet AI have enabled federal contractors to increase proposal submission volume, yet institutional constraints such as data sensitivity, budget limitations, and cultural barriers have hindered equivalent modernization on the government side. This article leverages institutional theory and prior research to analyze this disparity, highlighting how legal and cultural factors limit AI integration in procurement. Detailed analysis of these regulatory and cultural influences …

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 …

Optimizing Information Security In Cloud Environments: A Risk Management Approach And Guide For Enterprise Cloud Security, Joshua Olusegun Oyeniyi, Oluwashina Akinloye Oyeniran

Journal of Cybersecurity Education, Research and Practice

In recent years, cloud computing has become increasingly integral to organizational operations due to its scalability, accessibility and cost effectiveness in managing data and resources. However, the rise in security threats and attacks on cloud environments necessitates having robust measures in place to protect data confidentiality, integrity and availability. This paper presents an optimized approach to cloud information security management by reviewing the current threat landscape, evaluating key risk management frameworks, and provided practical solutions for enhancing enterprise cloud security. The study examined three leading cloud security frameworks: the Cloud Controls Matrix (CCM) known for its cloud-specific controls, the NIST …

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 …

Sentiment-Driven Decision Support Systems: A Word Embedding Approach To Analyzing Ceo Earnings Call Transcripts And Stock Market Reactions, Harsha Sammangi, Aditya Jagatha, Hari Gopal Maddireddy

Research & Publications

This study presents a sentiment-driven Decision Support System (DSS) that leverages advanced word embedding techniques—Word2Vec, GloVe, and BERT—to analyze CEO earnings call transcripts and predict stock market reactions. Tra- ditional lexicon-based sentiment models fail to capture the nuanced, contextual language used by executives. By employing pre- trained embeddings and machine learning classifiers, the study enhances the accuracy of sentiment classification. The proposed system integrates quantitative sentiment scores with event study method- ology to assess the impact of CEO tone on stock performance. Thematic analysis further enriches interpretability by identifying recurring patterns in executive com- munication. Results demonstrate that positive CEO …

Computer Vision In Soccer: Yolov11 Analytics Engine For Quantifying Game Strategy, Connor S. Maurer

Data Science Undergraduate Honors Theses

Single-shot object detection capabilities significantly reduce computational overhead for real-time computer vision in sports analytics at 60 FPS. YOLO11’s lightweight CNN gives promising accuracy while meeting the low-latency demand of dynamic soccer matches. As data-driven approaches take over the sport of soccer, efficient player tracking systems become critical for informing coach’s strategies. I prototype the ETL (Extract, Transform, Load) process of data collected from a single- shot detection program and evaluate its viability for estimating player fatigue. YOLO11 detects players, the ball, and other characteristics, with the output transformed by homography to estimate the positions in the real world. These …

Adapting To The Digital Age: Information Management Strategies For Improving Customer Perceptions Of Digital Banking In Ghana, Crystal Frema Davis

Electronic Theses and Dissertations

Mobile money services are crucial in the financial landscape of Ghana’s economy. Despite Ghana's successful Mobile Money Interoperability (MMI) project, significant disparities exist in digital banking service utilization. Using Design Science Research, this study examines customer hesitancy in digital banking adoption. The TIDE framework was developed by analyzing the information management practices and artifacts of MTN Mobile Money, Banks and reviewing the literature. It comprises three key pillars: Security Management, Customer Education, and Experience Enhancement. This framework aims to instill digital trust, improve service adoption and utilization, and promote financial inclusion and digital literacy. Expert reviews acknowledged its potential to …

Ai For Sustainability In Appalachian Businesses: Challenges And Successes, Mariatu Mahmoud

Electronic Theses and Dissertations

This qualitative study examines the perception of Artificial Intelligence (AI) and how this technology can advance sustainable development in small businesses in Central Appalachia. Participants described how they leveraged AI-enabled technologies to address economic challenges as well as how they overcame the technological barriers often associated with emerging technologies. Findings reveal that AI can significantly improve efficiency, streamline workflows, and enhance visibility for Appalachian entrepreneurs. However, the research also highlights challenges, including trust issues, limited resources, and resistance to change, which hinder adoption. Results from this study produce strategies for adopting AI that enable small businesses to integrate innovation while …

Uta Datathon 2025 Challenges (Archive), Rubab Shahzad, Srinivasa Sai Abhijit Challapalli, Ghanbarian Behzad, Mei Yang, Clivin Geju, Zecil Yogeshkumar Jain, Jay Mahavirkumar Shah, Sai Nikhitha Chandana

2025 Datathon Challenges-Archive

Timed and Model Challenges from the UTA Datathon 2025

Unleashing Excellence: Strengthening It Leaders Through Executive Coaching, Tonya S. Rivers

Dissertations

This paper explores the impact of executive coaching on Information Technology (IT) leaders. Many organizations across different industries lack strong leadership, as exposed by COVID-19. Companies aim to keep exceptional leaders and establish upbeat workplaces to achieve success. Although previous research has examined leadership effectiveness, it is still unclear how best to manage employees' perceptions of effective leadership. The goal of this research is to provide new insights into what can improve perceptions of leadership effectiveness. I explored the role executive leadership coaching has on managers working in the Information Technology (IT) field. Current literature often mentions the need for …

Data-Driven Default Prediction: Insights From Lending Club, Shumaila Gilani, Viktoria Kleer Kliimand

SPARK Symposium Presentations

Peer-to-peer (P2P) lending has transformed consumer credit markets by providing an alternative to traditional banking institutions. LendingClub, a pioneer in this space, facilitates lending between individual investors and borrowers through a data-driven risk assessment model. Our research aims to enhance loan default prediction by developing a more precise classification model based on LendingClub’s historical loan data, ultimately improving risk assessment for investors.

Utilizing a dataset of approximately 650,000 loans from 2007 to 2015, we construct a predictive model to classify loan default risk. Our approach focuses on key financial indicators, including interest rates, borrower grades, debt-to-income ratio, and delinquency history, …

Data Quality And Enterprise Architecture: An Analysis Of The Awareness And Knowledge Of Data Quality Artifacts, Principles, Practices, And Application In Enterprise Architecture, Jason Alan Minton

Theses and Dissertations

Enterprise Architecture (EA) is a discipline, approach, and practice that aims to align the enterprise’s technical infrastructure, strategy, processes, and technology investments with the organization’s strategy to fulfill the mission and vision. Data quality is conformance to data specifications (Talburt, 2015, p. 192), and low data quality has significant implications for decisions and outcomes across the enterprise. Scant literature and research exist surrounding the intersection, integration, and impact of data quality within EA practices. This research examines the awareness and understanding of Enterprise Architect and Technology Architect populations regarding data quality concepts, artifacts, and tools. The research aims to answer …

The National Cybersecurity Teaching Coalition: Expanding Cybersecurity Education Opportunities, Paul Wagner, Melissa Dark, Robert Honomichl, Filipo Sharevski, Sandra Leiterman

Journal of Cybersecurity Education, Research and Practice

The increasing prevalence of cybersecurity threats and the shortage of qualified professionals necessitate innovative solutions for cybersecurity education at all levels. Despite the expansion of post-secondary cybersecurity programs, employer dissatisfaction with graduates and a lack of standardized introductory curricula highlights the need for structured secondary education pathways. The National Cybersecurity Teaching Coalition (NCTC) and its National Cybersecurity Teaching Academy (NCTA) address this gap by equipping high school educators with the necessary knowledge and credentials to teach cybersecurity effectively. NCTA offers an 18-credit cybersecurity graduate certificate program to ensure teachers are competent and confident to develop and teach cybersecurity curriculum with …

The Impact Of Ai Use In Programming Courses On Critical Thinking Skills, Christian Jay St Francis Clarke, Abdullah Konak

Journal of Cybersecurity Education, Research and Practice

Proficiency in computer programming extends far beyond memorizing syntax; it depends on the cultivation of critical thinking. Computer programming requires multiple interconnected competencies, including systematic problem analysis, algorithmic reasoning, mastery of programming languages, debugging capabilities, a comprehensive understanding of software development methodologies, rigorous testing practices, and systematic troubleshooting approaches. These skills are also essential for cybersecurity experts; cybersecurity programs require several programming courses to enhance students’ technical and critical thinking skills. Generative AI (GenAI) technologies have fundamentally changed the process of developing applications and approaches to teaching coding. The growing use of GenAI technologies by students in writing computer code …