Digital Commons Network^™

When Generative Ai Helps Too Much: Engagement, Learning, And Student Outcomes In Business Statistics, Bruce A. Reinig

Mountain Plains Business Conference

After two decades of teaching business statistics, first in person, then online, and now in the era of generative AI, I have observed substantial shifts in how students approach learning. Many rely on ChatGPT and similar tools to produce assignment answers, sometimes at the expense of genuine understanding, which may lead to lower exam scores. Using LMS analytics, I track students’ engagement with video lectures and find this behavior more predictive of exam success than assignment completion. This presentation reports on an ongoing observational study and seeks feedback to strengthen its design and effectiveness in supporting authentic student learning.

2025-10-17 Agenda Book, Morehead State University. Board Of Regents.

Morehead State Board of Regents Agenda Books and Meeting Minutes

Agenda booklet for the Board of Regents meeting of October 17, 2025, which includes the minutes of the meeting held on August 8, 2025.

Project Scope And Market Share Of Selected Telecommunication Firms In Nigeria, Sunday Olufemi Akintelu

International Journal of Applied Management and Technology

To maintain market share, telecommunication operators in Nigeria invest in complex, innovative projects with large budgets and tight timelines. Managing the project scope of these endeavors is a challenge, although crucial to ensuring that viable products are released and guaranteeing market share among these firms. This study examined the project scope and market share of selected telecommunication firms in Nigeria through the quantitative method and survey research. The study employed a validated adapted questionnaire, which used a six-point Likert-type scale and was administered to the study participants to collect primary data. The reliability test of the questionnaire was achieved with …

Web3-Based Identity And Kyc Innovations For Next-Generation Fintech, Usama Arshad, Abdallah Tubaishat, Sajid Anwar, Zahid Halim, Abedallah Abualkishik, Abrar Ullah

All Works

The growing reliance on digital financial services necessitates a secure, efficient, and privacy-centric approach to identity verification and Know Your Customer (KYC) compliance. Traditional identity management systems rely on centralized databases, making them susceptible to data breaches, inefficiencies, and regulatory constraints. Over 10 billion identity records have been exposed in centralized KYC breaches, leading to a 60% increase in financial fraud cases. The rise of Decentralized Finance (DeFi) has further complicated KYC compliance, requiring innovative solutions that balance privacy and regulatory requirements. This paper proposes a Web3-powered decentralized identity framework that leverages blockchain technology, self-sovereign identity (SSI), verifiable credentials (VCs), …

Prevalence And Predictors Of Depression And Other Mental Health Disorders In Brazilian Adults With Intellectual Disabilities: A Population-Based Secondary Analysis, Gabriela A. Wagner, Pedro Cesar Lopes Gerum, Luiz Felipe Martins, Hugo Rafel Souza Silva, Mauricio Lima, Fernando Ribeiro Duraes, Luciene Covolan

Business Faculty Publications

Objectives To investigate the occurrence of depression and mental health disorders other than depression among Brazilian people with intellectual disabilities, analysing data from a national household survey.

Design Cross-sectional epidemiological study using data from the 2019 National Health Survey (PNS).

Setting Brazil, nationwide data collection in urban and rural private households.

Participants 272 499 individuals, among whom 1.2% (n=3198) reported intellectual disabilities.

Primary outcome measures Self-reported depression and mental health disorders other than depression (anxiety, panic, schizophrenia, bipolar disorder, psychosis or obsessive–compulsive disorder (OCD)), either isolated or comorbid.

Results Among people with intellectual disabilities, 43.2% reported at least one mental …

Disruption In International Oil Supply Chains, Michael E. Everton

Doctoral Dissertations and Projects

The specific problem addressed by this study was the possible failure of globally integrated oil and energy supply chains in the Gulf Coast region of the United States when responding to operational disruptions, resulting in the possible inability of firms to balance risks and investments. The research, using a flexible qualitative case study, examined industry executive management perspectives on how energy supply chains balance risk and investment due to unanticipated operational risk events. This study's key findings and conclusions from literature and the research are that strategic global energy supply chains continuously seek aggressive investment in agility, resilience, and restorative …

Employee Turnover Intentions In Nigeria's Oil And Gas Service Industry: The Role Of Retention Strategies, Abumenre Omonkhegbe Odigie

Doctoral Dissertations and Projects

This qualitative multiple case study explored employee turnover intentions in the Nigerian oil and gas service industry. The study focused on exploring and understanding the reasons behind employee turnover intentions in the Nigerian oil and gas service industry, which leads to high turnover rates. It examined the retention strategies adopted by organizational leaders to curb this trend and the related impact on organizational outcomes. Current business practices are centered on achieving organizational stability, which has been plagued by high employee turnover rates, raising concerns for organizational leadership that has invested heavily in its organization. A flexible design, multiple case study …

Review Of Ai Needs You: How We Can Change Ai’S Future And Save Our Own, Tracy A. Fernandez Rysavy

Feminist Pedagogy

AI Needs You: How We Can Change AI’s Future and Save Our Own urges citizens to band together now, while A.I. is still in its nascent stages, to head off its potentially destructive repercussions and ensure that the technology serves more than just a wealthy few. While such efforts might seem out of reach in our polarized society, author Verity Harding points to three cases from history where policy was heavily influenced by multistakeholder collaborations. This review encourages educators to use the book as a way to study business ethics; out-of-the-box thinking; and intersectional, inclusive consensus-building over a top-down approach.

Barriers To Machine Learning Adoption In Regulated Electric Utilities, Donald R. Shiflet Jr.

USF Tampa Graduate Theses and Dissertations

Machine learning (ML) technologies have the potential to revolutionize regulated electric utilities by improving operational efficiency, enabling predictive maintenance, and optimizing energy management. Despite these advantages, the adoption of ML in this sector lags other industries due to technical, organizational, and regulatory barriers. This research, grounded in the Technology-Organization-Environment (TOE) framework, explores these barriers to uncover actionable solutions for integration. The study identifies key challenges, including explainability, cybersecurity, workforce resistance, and regulatory ambiguity to ML adoption in electric utilities. Utilizing an exploratory qualitative methodology, this approach integrates insights from the literature and industry interviews to rank barriers by frequency, severity, …

Tableau Part Ii - October 2025, Rubab Shahzad

Day Family Research Lab Workshop Series

Part Two of Introduction to Tableau. Learn to make cool visualizations using Tableau. A hands-on opportunity where we will go over calculated fields, hierarchies, unions, dashboards, and stories.

Prior experience with Tableau is recommended

Arizona’S Experiential Learning Opportunities: Regional Security Operations Centers And Cybersecurity Clinics, Joshua Kipers, Paul Wagner, Robert J. Honomichl

Journal of Cybersecurity Education, Research and Practice

The increasing frequency, sophistication, and economic impact of cybersecurity incidents have intensified the global demand for a skilled cybersecurity workforce. Traditional academic programs often fail to provide the applied experience necessary to prepare graduates for the rapidly evolving threat landscape. This paper examines Arizona’s innovative approaches to experiential cybersecurity education through the establishment of Regional Security Operations Centers (RSOCs) and the Arizona Cybersecurity Clinic. These initiatives integrate Kolb’s Experiential Learning Theory and the NICE Cybersecurity Workforce Framework to align academic preparation with real-world practice. The RSOCs, supported by the Arizona Department of Homeland Security, provide paid student internships focused on …

Prompt Engineering For Genai In Cybersecurity Incident Response: A Multi-Platform Evaluation Based On Nice Pr-Ir-001, Yuanyuan Liu

Journal of Cybersecurity Education, Research and Practice

This study explores the application of prompt engineering in cybersecurity education, mainly by evaluating the performance of different generative artificial intelligence (GenAI) platforms when performing tasks consistent with the NICE framework role pr-ir-001 - Network Defense Incident Responder. The study employed structured prompts designed for a medical technology environment compliant with HIPAA and NIST SP 800-53, while the tasks of the three GenAI models (GPT-4, Gemini, and DeepSeek) were to generate event response scenarios. Their outputs will be evaluated from four aspects: accuracy, relevance, clarity and completeness.

The results show that the three models differ in depth and consistency, but …

Does Idiosyncratic Volatility Follow A Random-Walk? Evidence From U.S. Stocks, Zihan Cao, Ossama Elhadary

Publications and Research

In asset pricing literature, idiosyncratic volatility (IVOL) measures the firm-specific risk that is not explained by broader market movements. In this study, I investigate whether the idiosyncratic volatility (IVOL) of individual stocks follows a random-walk. Using monthly residuals from the Fama-French three-factor model (Fama & French, 1993), I estimate IVOL for more than 11,000 U.S. stocks, and apply the Augmented Dickey-Fuller test (Said & Dickey, 1984) to determine whether IVOL behaves like a random-walk. While most stocks display random-walk behavior, the proportion varies across industries, with some sectors showing deviations from random-walk behavior. Stocks with different levels of average return …

Static Malware Analysis For Incident Response: Developing A Tactical Aid With Ember, Joel Meoak, Shengjie Xu

Journal of Cybersecurity Education, Research and Practice

Incident responders face a variety of challenges when identifying malware using existing solutions, particularly when rapid tactical decisions are needed. Traditional malware detection methods are often signature-based, limiting their effectiveness to previously known threats detected by anti-virus (AV) engines. Online analysis tools introduce confidentiality risks, potentially alerting adversaries that their actions are under scrutiny. While free sandbox environments offer useful capabilities, they often require substantial setup time and hardware resources that may not be available in the field. This research leverages the Elastic Malware Benchmark for Empowering Researchers (EMBER) dataset to develop a lightweight, portable tactical decision aid that enables …

Interdisciplinary Narratives On Artificial Intelligence & Personnel Selection Systems, John Hunter, Melissa Intindola, Neil Boyd, Thiago Serra Azevedo Silva

Faculty Journal Articles

Artificial intelligence (AI) has quickly and persistently become a daily presence in our lives, and its omnipresence has eclipsed the speed with which scholars can fully assess its efficacy and pitfalls. AI’s ubiquity and the lack of a clear understanding of its implications for humanity has spurred scholars across disciplines to action, and scholars in the field of Human Resource Management (HR) have certainly joined the fray. As scholars with a variety of experience and scholarship across disciplines, we believe that the burgeoning conversation in the HR literature would significantly benefit from a greater presence of interdisciplinary knowledge.

Exploring How Religious Tourism Influences The Motivation Of Young Thai Tourists In Bangkok., Arisara Seyanont

International Journal of Religious Tourism and Pilgrimage

Religious tourism in Thailand encompasses a wide range of tourism related to religion, including traditional festivals and various religious activities. Today, temples or religious places in Thailand have become tourist attractions that people pay attention to, including groups of teenagers. Young Thai tourists show interest and travel to temples to ask for blessings, seek more amulets, and participate in Dharma practices. Within this context, this study aims to explore the components of religious tourism that influence the motivation of young Thai tourists in Bangkok. The components of religious tourism consist of 5 dimensions: 1) architectural design, painting, and sculpture; 2) …

The Tax Adviser, Volume 8, Number 9, September 1977, American Institute Of Certified Public Accountants

Tax Adviser

No abstract provided.

Double Taxation Of Corporate-Source Income: Reality Or Illusion?, James E. Wheeler, Dennis J. Gaffney

Tax Adviser

No abstract provided.

Estate Planning: Significant Recent Developments Concerning Estate Planning (Part Iv), Byrle M. Abbin, Robert H. Daskal, David K. Carlson

Tax Adviser

No abstract provided.

Diffusion Of Innovation Of Port Decarbonization Measures : A Case Study Approach, Clint Rocky Mcculloch, Lucas Fernando Vaquero Roviriego

Port Management Dissertations

The dissertation is a study of how stakeholders diffuse innovation in port decarbonization strategies through a case study approach, with emphasis on the Diffusion of Innovation (DOI) relating to the technical and operational measures in the developing regions. Port, being a critical hub in global supply chains, have to manage the increasing pressure of reducing greenhouse gas (GHG) emissions in alignment with International Maritime Organization (IMO) 2023 GHG strategy as well as the Paris Agreement. However, there is a gap in empirical research, specifically in non-European regions like South America and the Caribbean, highlighting the need for insights from stakeholders’ …

Leveraging Machine Learning And Causal Inference For Loan Default Prediction, Luca Guida

Doctoral Dissertations and Master's Theses

This research explores a systematic application of machine learning techniques combined with causal inference to predict loan defaults in peer-to-peer lending. Accurately forecasting loan defaults is crucial for mitigating financial risk and optimizing lending strategies. This analysis is based on multiple datasets of loan applications spanning over a decade, containing detailed financial and credit information about borrowers. Beginning with extensive Exploratory Data Analysis (EDA) coupled with scaling strategies, the research identifies key trends in loan performance across a large number of factors, such as interest rates or borrower creditworthiness, and one objective is to determine from the many available predictors …

Monte Carlo Simulation Models To Enhance Air Cargo Network Resilience And Sustainability, Shereen Marie Hashemi

Doctoral Dissertations and Master's Theses

This dissertation focuses on developing and validating an empirical set of simulation models for an air cargo network under large-scale disruption to test recovery strategies that improve resilience. Understanding and quantifying network resilience and recovery strategies is critical for ensuring sustainable operations. These operations become essential during disruptive events as air cargo is used to transport time-sensitive and critical goods. The collective research steps result in a Monte Carlo simulation framework to evaluate air cargo network resilience and identify strategies that enhance performance during disruptions.

The modeled system is a hub-and-spoke network centered on Memphis (MEM) with 23 domestic airports …

Construction Of China's Online Platform Information Value Evaluation System, Shuyue Fang, Yuan Sun, Yuwei Ye, Liling Xia

Journal of Scientific Information Research

[Purpose/significance] This paper aims to explore the construction of the information value evaluation system of online platforms in China, so as to provide theoretical support and practical guidance for the information management of online platforms.

[Method/process] This paper firstly explores the connotation and dimension of the information value of the online platforms, and uses the analytic hierarchy process to distribute the weight, then,obtains the comprehensive evaluation results of the information value of each online platform through the fuzzy comprehensive evaluation method.

[Result/discussion] Through the comprehensive evaluation of the information interaction platforms, the multilateral trading platforms and the complementary innovation platform, …

Trust And Ethics In Ai-Driven E-Commerce: Persuasion Vs. Privacy, Akriti Nepal

Student Publications

This study examines how AI-driven features in e-commerce influence user satisfaction and the role of trust in these interactions. Using a survey-based dataset of 100 consumers, we investigated whether trust moderates or mediates the impact of AI persuasiveness and perceptions of bias, intrusiveness, and preference understanding on satisfaction. Results indicate that AI’s perceived ability to understand user preferences strongly predicts satisfaction, while trust partially mediates the relationship between helpful AI features and urgency messages and user satisfaction. Conversely, trust did not significantly moderate these relationships, and concerns about bias and intrusiveness had minimal impact. Findings suggest that AI-driven satisfaction is …

Honors Faculty Research Talk Ml Tlachac, Ml Tlachac

Honors Programs

PowerPoint Slides of Honors Research Talk by ML Tlachac.

A Data-Driven Framework For Optimal Retail Store Location, Ming Hui Tan

Dissertations and Theses Collection (Open Access)

This study develops a data-driven framework for optimal retail store location planning that integrates road network analysis, mobility data and optimization techniques. By addressing the limitations of traditional approaches that rely on outdated census data and manual site selection, this research offers a scalable and adaptable solution for retail expansion in diverse urban environments. Chapters 1 and 2 establish the foundational context and theoretical underpinnings of this research. Chapter 1 introduces the research problem and motivation, highlighting the limitations of existing approaches and defining three key research objectives: automating candidate site identification, improving footfall estimation, and developing a scalable multi-site …

The Gender Pay Gap: An Occupational Analysis (2012-2023), Curtis Long

Harriet L Wilkes Honors College Theses 2020 - Present

This thesis examines the gender wage gap across thirty major U.S. occupations from 2014 to 2023 using data from the Current Population Survey (CPS), more specifically, the U.S. Bureau of Labor Statistics (BLS). The analysis measures the difference in median weekly earnings between women and men in each occupation and applies two statistical tests: a yearly z-test to evaluate whether the average wage gap is significant, and a ten-year t-test to identify persistent occupational gaps. Results show significant wage differences in every year, with the largest disparities in finance, management, and law, and smaller gaps in education and healthcare. Consistent …

2025 October, Morehead State University. Office Of Communications & Marketing.

Morehead State Press Release Archive, 1961 to the Present

Press releases for October of 2025.

Unpacking Singapore's Leasehold Relativity Table: An Empirical And Legal Analysis, Koon Shing Kwong, Jing Rong Goh, Seng Wei, Edward Ti

Research Collection School Of Economics

In Singapore, most land is state-owned, with the state generally issuing leasehold estates via state leases of not more than 99 years1, depending on the intended land use. Naturally, the value of a leasehold estate, which erodes over time as the lease approaches the end of its term, is a key component of the premium charged for lease renewals, or the tax imposed for permission given in relation to a development that would increase the value of the land. By law, the state valuation of leasehold land is prescribed by a leasehold relativity table colloquially known as ‘Bala’s Curve’ or …

Global Trends In Ai-Driven Product Development: A Cross-Country Analysis, Shilpa Dhananjayan

Journal of the Symposium of University Research and Creative Expression

Project Mentor(s): Hideki Takei, DBA

Artificial Intelligence (AI) is transforming industries and accelerating global innovation, yet its benefits remain unevenly distributed. A nation’s AI readiness—its capacity to adopt and implement AI technologies—plays a crucial role in economic growth and technological advancement. Key determinants of AI readiness include digital infrastructure, data accessibility, government policies, research and development (R&D) investment, and workforce development. This study examines the relationship between AI readiness, AI adoption, innovation, R&D investment of a nation, Digital Infrastructure Index (DII) and Human Capital Index (HCI) using a Random Forest regression model. Findings reveal a strong correlation between AI adoption …