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Full-Text Articles in Entire DC Network
From Disruption To Replacement: The 2026 Cae Cybersecurity Community Symposium And The Emerging Federal-Academic Compact For An Ai Workforce, Sunday Oludare Ogunlana
From Disruption To Replacement: The 2026 Cae Cybersecurity Community Symposium And The Emerging Federal-Academic Compact For An Ai Workforce, Sunday Oludare Ogunlana
Journal of Cybersecurity Education, Research and Practice
The cybersecurity workforce gap in the United States is estimated at several hundred thousand unfilled positions, and the rapid integration of artificial intelligence into adversary tradecraft and federal cyber operations is widening that gap qualitatively as well as quantitatively, threatening national security and the operational readiness of graduates entering the field. This perspective article synthesizes the principal arguments advanced by five federal and academic speakers at the 2026 CAE Cybersecurity Community Symposium, using verbatim session transcripts, a structured thematic extraction process, and triangulation against published workforce policy and peer-reviewed literature. Findings document a unified speaker thesis that artificial intelligence now …
Determinants Of Ai Adoption In Banking: Evidence From Tunisia, Rahma Khattab, Sami Bacha
Determinants Of Ai Adoption In Banking: Evidence From Tunisia, Rahma Khattab, Sami Bacha
Arab Economic and Business Journal
This study investigates the factors influencing customers’ intentions to adopt Artificial Intelligence (AI) banking services in Tunisa. Building on an integrated framework combining the Technology Acceptance Model, Unified Theory of Acceptance and Use of Technology, Theory of Planned Behavior, Perceived Risk Theory, and Diffusion of Innovation Theory, the study investigates how perceived usefulness, perceived ease of use (, awareness, knowledge, attitude, subjective norms, trust, and perceived risk influence AI adoption intentions. Using survey data from 400 Tunisian retail banking customers and applying regression analysis, the findings show that perceived usefulness, perceived ease of use, subjective norms, and trust positively and …
A Message From The Managing Editor, Carissa Bayack
A Message From The Managing Editor, Carissa Bayack
Binghamton University Undergraduate Journal
A message from the 2025-2026 Managing Editor of the Binghamton University Undergraduate Journal, Carissa Bayack.
Greenovation As A Strategic Leverage For Sustainable Competitive Advantage, Amiya Kumar Mohapatra, Anil Kumar, Yiğit Kazançoğlu
Greenovation As A Strategic Leverage For Sustainable Competitive Advantage, Amiya Kumar Mohapatra, Anil Kumar, Yiğit Kazançoğlu
Management Dynamics
Greenovation is the new currency of the global economy which focuses on ‘green and innovation’ that generates environmental benefits through reduced resource consumption, lower carbon emissions, and improved ecological performance aligned with Sustainable Development Goals (SDGs). Greenovation focuses on long-term value creation by integrating environmental externalities, resource circularity, and multi-stakeholder governance and accountability structures. Greenovation integrated with corporate strategies can provide greater strategic competitive advantages which is also termed as green competitive advantage. By systematically integrating product and process improvements through Greenovation, firms can attain competitive advantage for long-term value creation for both internal and external stakeholders. It is imperative …
Ai-Driven Predictive Analysis Of Airline Profitability Under Macroeconomic And Sustainable Aviation Fuels, Shivika Singh
Ai-Driven Predictive Analysis Of Airline Profitability Under Macroeconomic And Sustainable Aviation Fuels, Shivika Singh
Discovery Day - Daytona Beach
This study presents an AI-enhanced predictive model to assess airline profitability under the combined influence of macroeconomic trends and the adoption of sustainable aviation fuel (SAF). By including economic indicators such as GDP growth, inflation rates, and fuel price volatility with airline operational data, including ticket prices and fuel costs, the model simulates profitability across multiple carriers. Scenario-based analyses, encompassing optimistic, moderate, and pessimistic projections, illustrate different financial sensitivities between low-cost and legacy airlines.
Supply Chain Analysis: The Oregonator Autocatalytic Case Study, Abigail Butcher
Supply Chain Analysis: The Oregonator Autocatalytic Case Study, Abigail Butcher
Discovery Day - Daytona Beach
Understanding stability in complex supply chains remains a critical challenge due to nonlinear feedback, delayed responses, and sensitivity to parameter changes. This project presents a novel framework that applies bifurcation analysis to evaluate system stability, using the Oregonator autocatalytic chemical reaction model as an analog for supply chain dynamics. A parameter sweep of key model variables, particularly the stoichiometric factor f and the reaction rate constants k, is used to identify transitions between stable and oscillatory regimes. These transitions provide insight into how variations in feedback strength can drive instability in real-world systems. The framework will then be extended to …
Predicting Passenger Demand On National Flights Departing From Hartsfield-Jackson Atlanta International Airport (Atl) In 2024, Brooklyn Gossett, Ana Yu Wen
Predicting Passenger Demand On National Flights Departing From Hartsfield-Jackson Atlanta International Airport (Atl) In 2024, Brooklyn Gossett, Ana Yu Wen
Discovery Day - Daytona Beach
The aviation industry relies heavily on accurate demand forecasting to guide critical decisions regarding route planning, capacity management, and pricing strategy. Misjudging passenger demand can result in significant revenue loss and operational inefficiency, making it essential for airlines and analysts to identify the key drivers of flight patronage. This study investigates the factors that most significantly predict the number of passengers on domestic flights departing from Hartsfield-Jackson Atlanta International Airport (ATL) during the 2024 calendar year. Using passenger and route data sourced from the Bureau of Transportation Statistics (BTS) and the U.S. Department of Transportation (DOT), a multiple regression analysis …
Exploring The Motivations Of Undergraduate Sport Management Students, Kyle J. Brannigan, Tyler J. Hajek
Exploring The Motivations Of Undergraduate Sport Management Students, Kyle J. Brannigan, Tyler J. Hajek
The COSMA Journal
This study explored the motivations of undergraduate sport management in four university programs. Convergent mixed-methods research through the theoretical framework of Self-Determination Theory was incorporated with an adapted questionnaire of the Academic Motivation Scale and semi-structured interviews through Thematic Analysis. Ninety-six surveys with nine interviews were deemed usable across four regionally focused, vocationally minded, and accessible universities. Overall, students reported higher levels of extrinsic motivation than intrinsic motivation. The findings suggested intrinsic motivation to know and extrinsic motivation through regulation for identification scored highest with the participants. No significant differences were found between classes and ethnicities. However, male students experienced …
Building A Culture Of Trust: Engaging Teams With Targeted Tactics For Meaningful Improvement In Patient Experience, Anna Buckner, Kimberly Lewis
Building A Culture Of Trust: Engaging Teams With Targeted Tactics For Meaningful Improvement In Patient Experience, Anna Buckner, Kimberly Lewis
Patient Experience Journal
Rising financial pressures and the need to revitalize culture prompted a renewed emphasis on patient experience at Billings Clinic. This case study describes the impact of redefining patient experience as a measure of trust and a set of care processes. It presents an alternative to the more traditional view of patient experience as an outcome metric based on meeting patient expectations. Billings Clinic chose the patient survey question likelihood of recommending as an organizational goal or key performance indicator (KPI). Under the direction of executive leadership, the patient experience team developed a new strategic framework aimed at driving improvement for …
Assessing And Addressing Financial Risk In Capitated Primary Care Contracts, Michael R. Wieck Dba, Laurence Smith, Steven R. Stout Dba
Assessing And Addressing Financial Risk In Capitated Primary Care Contracts, Michael R. Wieck Dba, Laurence Smith, Steven R. Stout Dba
Engaged Management ReView
We employ multivariate statistical modeling and Monte Carlo simulation to study systematic and unsystematic financial risk faced by physician groups under capitated contracts with Medicare Advantage Organizations (MAOs). We use mixed methods and a standard reimbursement formula for risk-sharing contracts with primary care physicians (PCPs). We find that diversifying risk simply by increasing the size of a practice is insufficient to mitigate risks of large negative cash flows from capitation contracts and can result in financial failure. However, if use of costly medical services by patients is reduced from levels typically experienced under traditional Medicare to the levels of patients …
Closing The Awareness–Behavior Gap: A Role-Based Phishing Training Framework For Higher Education, Ranylene O. Olaybal, Ryan A. Olaybal
Closing The Awareness–Behavior Gap: A Role-Based Phishing Training Framework For Higher Education, Ranylene O. Olaybal, Ryan A. Olaybal
Journal of Cybersecurity Education, Research and Practice
Phishing remains one of the most persistent cybersecurity threats facing higher education institutions, where diverse user populations and highly connected digital environments increase exposure to social engineering attacks. Although cybersecurity awareness initiatives are widely implemented, high awareness does not always translate into secure behavior. This study examined phishing awareness, phishing-related practices, phishing susceptibility, and phishing experiences among college students, teaching faculty, and administrative staff in a private higher education institution in the Philippines. Using a quantitative cross-sectional design, data were collected from 553 respondents through a validated survey instrument and analyzed using descriptive statistics, one-way analysis of variance, Tukey's honestly …
Atomos Komiks - Making Learning Fun With Science Entertainment, Jerome Aizpuro Suplemento Ii, Julius Noah Hernandez Sempio
Atomos Komiks - Making Learning Fun With Science Entertainment, Jerome Aizpuro Suplemento Ii, Julius Noah Hernandez Sempio
DLSU Arts Congress Conference Proceedings
With portable digital devices imposing themselves on the already precarious attention span of the Filipino youth, and with raising concerns about degrading literacy of schoolchildren, it is imperative to find creative and entertaining means to inspire the young studentry to engage in dedicated educational materials. This paper explains the methods being used by a small group of artists, scientists and writers to create content for “science entertainment” in comics format. By combining principles of conceptual compression, knowledge indexing and low-elaboration persuasion techniques to develop knowledge “anchors”, the team aims to generate participatory engagement among readers and stimulate their cognitive innovation. …
From Homogeneous To Heterogeneous Adaptive Bounded-Confidence Opinion Dynamics On Networks, Sally Hafez, Fatma R. Farag, Amira S. N. Tawadros
From Homogeneous To Heterogeneous Adaptive Bounded-Confidence Opinion Dynamics On Networks, Sally Hafez, Fatma R. Farag, Amira S. N. Tawadros
Northeast Journal of Complex Systems (NEJCS)
Adaptive bounded-confidence models (ABCMs) elucidate the coevolution of agent states and network structure via local interactions and rewiring mechanisms. Traditional formulations assume uniform interaction parameters, leading to distinct regime shifts encompassing fragmentation, polarization, and consensus. A symmetric heterogeneous extension of the adaptive bounded-confidence model is introduced, in which interaction parameters vary according to whether agents belong to the same or different groups. The model retains the original update and rewiring protocols but integrates within-group and between-group confidence bounds alongside tolerance thresholds. Initially, the classic homogeneous model is replicated to establish a reference point. Subsequently, the heterogeneous extension is assessed under …
Measuring Administrative Hiring Confidence Of Music Teachers In The Context Of Shallow Hiring Pools, Aaron M. Strum
Measuring Administrative Hiring Confidence Of Music Teachers In The Context Of Shallow Hiring Pools, Aaron M. Strum
Dissertations
The purpose of this study was to identify and measure the confidence of K-12 administrators in hiring music faculty. This study also aimed to analyze administrators’ perspectives and confidence in key stages of the hiring process, including defining job expectations, posting, advertising, interviewing, and selecting highly specialized music teachers in K-12 settings. Confidence of K-12 administrators can be gauged through their understanding of how well an applicant aligns with the specific needs of the school’s program. Three research questions guided this investigation: (1a) How confident are K-12 administrators in their understanding of music teaching pedagogy when interviewing music teacher candidates …
The Information Content Of The Implied Volatility Term Structure Slope For Forecasting Commodity Market Volatility, Lawrence E. Mckenzie
The Information Content Of The Implied Volatility Term Structure Slope For Forecasting Commodity Market Volatility, Lawrence E. Mckenzie
Doctoral Dissertations (DBA)
This study evaluates the implied volatility term structure (IVTS) slope (𝜅) for forecasting 21-day realized volatility against traditional time-series benchmarks and a 3-month continuous futures baseline. Using a matched sample of eight energy and agricultural commodities spanning 2007 to 2019, the study explicitly tests whether the option-implied slope contains unique predictive information beyond deferred price histories. The empirical findings yield three primary insights. First, redundancy testing indicates that the slope parameter delivers a statistically significant, independent risk signal even when controlling for deferred continuous futures paths. Second, an integrated joint encompassing framework that combines near-term historical volatility, generalized autoregressive conditional …
Machine Learning For Predictive Energy And Emissions Modeling Of Vehicles And Power Grids In The United States, S M Tanvir Faysal Alam Chowdhoury
Machine Learning For Predictive Energy And Emissions Modeling Of Vehicles And Power Grids In The United States, S M Tanvir Faysal Alam Chowdhoury
Dissertations
The environmental benefits of electric vehicle (EV) adoption depend on more than replacing internal combustion engine vehicles with electric powertrains. EV adoption reshapes electricity demand, interacts with regional generation mixes, and influences travel behavior and congestion, creating a coupled transportation-energy system in which vehicle and power-plant emissions must be evaluated together. This dissertation develops machine-learning frameworks for predicting energy consumption and emissions from vehicles and power grids under rising EV adoption. The first component forecasts grid emissions from EV charging. Using simulation data from NREL's Cambium database, a Prophet-based time-series framework predicts carbon dioxide, nitrous oxide, and methane emission rates …
Promotion Architecture: A Deal Fairness Model Of Restricted Price Promotions, Shangwen Yi, David Hardisty, Dale Griffin, Thomas Allard
Promotion Architecture: A Deal Fairness Model Of Restricted Price Promotions, Shangwen Yi, David Hardisty, Dale Griffin, Thomas Allard
Research Collection Lee Kong Chian School Of Business
This research examines the effectiveness of two common types of restricted price promotions: threshold promotions (conditional on spending more than a threshold amount; e.g., “Get $5 off on orders of $10 or more”) and capped promotions (limited to a maximum dollar value; e.g., “Get 50% off, up to $5 per order”). Results from seven pre-registered studies, including one field study, show that threshold promotions lead to higher purchase intentions and conversion rates (but potentially lower purchase amounts) than comparable capped promotions—even though capped promotions are equivalent in maximal economic savings for the consumer—when the trigger value (the spending amount at …
2026 August, Morehead State University. Office Of Communications & Marketing.
2026 August, Morehead State University. Office Of Communications & Marketing.
Morehead State Press Release Archive, 1961 to the Present
Press releases for August of 2026.
The Impact Of State Insulin Copayment Caps On Diabetics In The United States, Ryan C. Meyer
The Impact Of State Insulin Copayment Caps On Diabetics In The United States, Ryan C. Meyer
All Theses
Insulin is a life-saving medication for people with diabetes that helps regulate blood glucose levels throughout the body. A Type 1 diabetic cannot survive without insulin, and a Type 2 diabetic’s quality of life greatly diminishes without access and use of this drug. Currently, many diabetics skip, ration, or abstain from insulin due to financial barriers. As of June 2026, 29 states have enacted insulin copayment caps for state-regulated commercial health insurance plans to reduce the financial burden of insulin costs. This study examines the impact of these caps on all commercially insured diabetics in the United States, particularly on …
Exploring The Determinants Of User Discontinuance In Ai-Driven Usage-Based Insurance, Wenzhuo Li
Exploring The Determinants Of User Discontinuance In Ai-Driven Usage-Based Insurance, Wenzhuo Li
Theses and Dissertations in Business Administration
While interest in algorithmic decision-making continues to grow, limited research has examined the post-adoption phase. This study examines how users evaluate their post-adoption experiences with algorithmic decision-making in the context of usage-based insurance (UBI), focusing on how expectation disconfirmation shapes satisfaction and the intention to discontinue use. It explores two key questions: What factors influence users’ discontinuance intention toward AI-based UBI systems? And how do specific algorithmic characteristics alter how users form these post-adoption evaluations? To investigate these questions, this study develops a comprehensive theoretical model that integrates the Expectation Confirmation Model and Reactance Theory, incorporating additional factors such as …
Definitions And Mathematical Models Of Op Variants, Pieter Vansteenwegen, Aldy Gunawan
Definitions And Mathematical Models Of Op Variants, Pieter Vansteenwegen, Aldy Gunawan
Research Collection School Of Computing and Information Systems
We have described the basic orienteering problem (OP) in Chap. 2, as one known variant of the single vehicle routing problems with profits (VRPP). In this chapter, we introduce the best-known variants of the OP. The first one is the team orienteering problem (TOP). In the TOP multiple routes can be composed to visit a subset of customers. In the context of the game of orienteering, the TOP corresponds to several players of the same team, each collecting profits in parallel, during the same time span. Another well-known variant of the basic OP is the OP with time windows (OPTW), …
Systematic Review Of The Institutionalization Of Service Learning In Higher Education, Wilmer Hernan Cruz Gutierrez
Systematic Review Of The Institutionalization Of Service Learning In Higher Education, Wilmer Hernan Cruz Gutierrez
ASEAN Journal of Community Engagement
An increasing number of universities are integrating service-learning (SL) to fulfill their social mission. However, sustainable institutionalization of SL remains a persistent challenge. This study identifies and analyzes the factors, actors, and strategies that drive and inhibit SL institutionalization in higher education. Using the PRISMA 2020 guidelines, a systematic literature review analyzed 52 documents from seven academic databases (including WoS, Scopus, and ERIC). The findings were grouped into three sections: cultural (integration into institutional values/missions), process (articulation within teaching, research, and outreach), and structural dimensions (dedicated support entities). The results obtained reveal a reciprocal relationship where cultural alignment enables processual …
Art In Laparoscopy: A Fun Way Of Training In Minimally Invasive Surgery, Michael Dennis I. Dela Paz
Art In Laparoscopy: A Fun Way Of Training In Minimally Invasive Surgery, Michael Dennis I. Dela Paz
DLSU Arts Congress Conference Proceedings
Paramount to the safety and efficiency of any surgical procedures warrants the enhancement of skills of the surgeon whether in training or practice. In minimally invasive surgery, one should inherently have excellent depth perception, consistent hand-eye coordination, and skillful use of the dominant and non-dominant hands to be able to perform operations with precision, efficiency, and safety. For most surgeons, sustaining or even improving these laparoscopic surgical skills through traditional drills would sometimes reach a point that it seems to be monotonous, and repetitive. Breaking away from the traditional skills will make the training and honing of minimally invasive surgical …
Decision Making For Community Resilience: Applications In Flooded Transit Systems And Shared Housing, Mubarak Iddrisu
Decision Making For Community Resilience: Applications In Flooded Transit Systems And Shared Housing, Mubarak Iddrisu
Graduate Doctoral Dissertations
Addressing climate-induced flooding and housing insecurity requires decisions that are technically sound, locally meaningful and feasible to implement. In public transit systems, flooding can damage infrastructure, increase travel time and reduce access to essential destinations, especially for older adults. Shared housing offers an alternative housing model where staff must balance affordability, compatibility, service exchange and participant choice when pairing home providers with housing seekers. In this dissertation, I examine how analytics and decision modeling can support community resilience across these two domains. I use spatial analysis, machine learning, optimization and matching theory to develop practical decision-support workflows. Chapter 2 proposes …
Navigating Ai Landscape In Management Education Through Wu-Wei (無為), Maria Ll Lam
Navigating Ai Landscape In Management Education Through Wu-Wei (無為), Maria Ll Lam
Journal of the North American Management Society
Artificial intelligence (AI) is challenging how knowledge is produced, validated, and taught in higher education. This creates both new opportunities and acute tensions in management education. While management educators aim to foster critical thinking and character development, many students are increasingly relying on AI tools and focusing on developing AI-related skills for the labor market. The required market skills often exceed what current business curricula provide. As higher education seeks to cultivate transferable habits of critical reflection, a central question arises: How can management educators prepare students to engage in ongoing moral reflection about their experience with evolving AI systems …
Artificial Intelligence And Technology - Joni Full Issue July 2026, Angie Holzer
Artificial Intelligence And Technology - Joni Full Issue July 2026, Angie Holzer
Journal of Nonprofit Innovation
No abstract provided.
Summary & Discussion On United Nations Preliminary Report On Ai: Benefits And Harms Of Artificial Intelligence For Civil Society, Angie Holzer
Journal of Nonprofit Innovation
In July 2026, the United Nations' newly formed Independent International Scientific Panel on Artificial Intelligence released its first Preliminary Report, offering the first global, scientific assessment of AI's capabilities, risks, and impacts. This article examines the report's findings through the lens of civil society, organizing the Panel's evidence around three questions of direct relevance to nonprofit leaders and researchers: how rapidly AI capability is advancing, who controls its development, and where its benefits and harms are concentrated. Drawing on the Panel's data across societal applications, economic implications, human rights and information integrity, cultural flourishing and child safety, and AI governance, …
Stop Blaming My Users: Illumination Of The Technocentric Mythos Bias, Ervin H. Frenzel, Richard Lightcap
Stop Blaming My Users: Illumination Of The Technocentric Mythos Bias, Ervin H. Frenzel, Richard Lightcap
Journal of Cybersecurity Education, Research and Practice
Abstract -This conceptual essay addresses the need for systemic and systematic transdisciplinary analytical techniques within cybersecurity and technical security. This conceptual essay is contingent upon recognition that cybersecurity is not simply technical in nature, it does not need an adversary, and more importantly it is based upon systems engineering and systems thinking. The essay contributes a socio-technical attribution chain and field-specific ontology/taxonomy which distinguish user-triggered events from root causes, latent conditions, technical debt, validation failures, governance failures, and attribution bias before assigning responsibility to end users. It systematically defines an ontology inclusive of developer technical debt, organizational debt arising from …
The Tragedy Of The Cognitive Commons: How Ai Could Disrupt The Regeneration Of Professional Expertise, Nolan C. Lovett
The Tragedy Of The Cognitive Commons: How Ai Could Disrupt The Regeneration Of Professional Expertise, Nolan C. Lovett
Educational Leadership & Workforce Development Faculty Publications
Artificial intelligence is reshaping cognitive work, but Human Resource Development scholarship has treated this transformation as an organizational training challenge, leaving the collective regeneration of professional expertise unexamined. This conceptual paper introduces the Cognitive Commons framework, integrating commons theory, HRD scholarship, and distributed cognition to explain how rational AI adoption decisions can deplete the shared expertise pool professions require for renewal. The framework distinguishes Internalized Mastery (deep domain knowledge from sustained practice) from Distributed Mastery (orchestrating human-AI systems), and develops the Validation Tether: effective AI oversight depends on the expertise AI adoption may undermine. Early labor market and clinical evidence …
Sustainable Consumer Behavior Modeling: A Complex-Systems Approach To Neuromarketing, Preethi Nanjundan, Nupoor Sanjay Bhute, Ragini Topre, Lijo Thomas
Sustainable Consumer Behavior Modeling: A Complex-Systems Approach To Neuromarketing, Preethi Nanjundan, Nupoor Sanjay Bhute, Ragini Topre, Lijo Thomas
Northeast Journal of Complex Systems (NEJCS)
This study examines the application of complex-systems modeling to neuromarketing data for gaining deeper insights into the mechanisms underlying sustainable consumer behavior. It investigates how neural and biometric responses, interpreted through a systems-based perspective, can uncover dynamic interactions, feedback mechanisms, and emergent behavioral patterns influencing sustainable purchase decisions. The research explores the impact of sustainability-oriented marketing stimuli on long-term behavioral intentions by emphasizing the interconnected roles of cognitive processing, emotional engagement, implicit associations, and collective consumer dynamics. Through simulation-based modeling and structural analysis, the study demonstrates how subconscious neural responses and affective mechanisms mediate the relationship between marketing interventions, consumer …