Illinois State University
California Lutheran University
Faculty of Economics and Management, Universiti Putra Malaysia, Kuala Lumpur, Malaysia
Harrisburg University of Science and Technology
Singapore Management University
North Dakota State University
Florida State University
Air Force Institute of Technology
Optimising Cybersecurity Application Utilisation For Digital Learning In Nigeria: An Evidence-Constrained Hybrid Agent-Based And System-Dynamics Model,
2026
Federal University of Allied Health Sciences,Enugu, Nigeria
Optimising Cybersecurity Application Utilisation For Digital Learning In Nigeria: An Evidence-Constrained Hybrid Agent-Based And System-Dynamics Model, Adesegun Nurudeen Osijirin, Leonard C. Anigbo, Oliver Okechukwu
Journal of Cybersecurity Education, Research and Practice
This study examines hypothetical cybersecurity-application utilisation interventions for Computer Science undergraduates in Enugu State, Nigeria. Five author-supplied datasets, each containing 364 cases, provide audited sex-specific calibration moments for a hybrid agent-based and system-dynamics model. Seven portfolios are compared over 24 months using 400 paired replications; additional experiments examine dose, effect assumptions, targeting, academic calendars, turnover and peer structure. A 1,200-point Latin-hypercube design is applied to every original scenario. Across 37,600 runs, the main-model median proportions meeting the survey utilisation criterion are 26.4%, 48.6% and 50.3% for status quo, universal combined and equity-adaptive provision. However, matching nominal dose reduces the corresponding …
From Shadow It To Shadow Ai: A Scoping Review Of How Embedded Ai And Employee Use Increase Cybersecurity And Data Privacy Risk,
2026
University of Arizona
From Shadow It To Shadow Ai: A Scoping Review Of How Embedded Ai And Employee Use Increase Cybersecurity And Data Privacy Risk, Jenny Ahn, Bogdan Pavlyuchenkov, Lasette Smith, Paul Wagner, Robert J. Honomichl, Ryan Straight, Shengjie Xu
Journal of Cybersecurity Education, Research and Practice
The rapid integration of artificial intelligence into enterprise software has introduced a critical governance challenge: Shadow AI, the unmanaged and often invisible adoption of AI tools and features by employees outside formal IT oversight. Unlike traditional Shadow IT, which centers on unauthorized data storage and infrastructure, Shadow AI operates at the knowledge and decision-making layer, introducing probabilistic risks including data leakage, agentic misalignment, and indirect prompt injection that existing security frameworks are ill-equipped to address. This paper presents a Systematic Literature Review (SLR) synthesizing 38 peer-reviewed and industry sources to investigate three research questions: how organizational visibility gaps into embedded …
Quantifying Attacker Payoff In Harvest Now, Decrypt Later Attacks: A Persistence-Based Framework For Trade Secret Risk,
2026
Northwestern University
Quantifying Attacker Payoff In Harvest Now, Decrypt Later Attacks: A Persistence-Based Framework For Trade Secret Risk, Arjun Kumar, Gene Yang, Turiya Misra, Francis Kagai
Journal of Cybersecurity Education, Research and Practice
Harvest-now, decrypt-later (HNDL) assumes that encrypted secrets stolen today will remain worth decrypting when quantum computers eventually make that possible. But what if they do not? This paper models HNDL from the attacker’s perspective by asking a different question: how much will a stolen secret still be worth when it can finally be decrypted? We develop a conditional retained-value framework combining probabilistic Q-day timing, information depreciation, and adversary-access delay. The results reveal a sharp divide. Rapidly depreciating secrets can lose much of their strategic value before quantum decryption becomes useful, while persistent secrets can retain substantial attacker payoff even under …
Data Without Borders, Sovereignty Without Guarantees: Cybersecurity Risks Of Cross-Border Data Hosting In The Global South, Evidence And Policy Lessons From Mozambique,
2026
Instituto Superior Politécnico de Tete
Data Without Borders, Sovereignty Without Guarantees: Cybersecurity Risks Of Cross-Border Data Hosting In The Global South, Evidence And Policy Lessons From Mozambique, Faztudo Languisse Eng.
Journal of Cybersecurity Education, Research and Practice
The digital transformation of public and private institutions across the Global South has produced a paradox: as states digitize government services, financial systems, and citizen records, an increasing share of this data is hosted on servers physically located in the United States, the European Union, and other developed economies. This article develops a taxonomy of the cybersecurity and sovereignty risks generated by this dependency, distinguishing deliberate risks, arising from extraterritorial legal instruments such as the United States CLOUD Act, foreign surveillance regimes, and a concentrated hyperscale cloud market, from non-deliberate risks, arising from undersea cable failures, hyperscaler outages, misconfiguration, and …
Specification And Internal Assessment Of A Self Reported Protective Application Use Composite Among Computer Science Undergraduates In Enugu State Nigeria,
2026
Federal University of Allied Health Sciences,Enugu, Nigeria
Specification And Internal Assessment Of A Self Reported Protective Application Use Composite Among Computer Science Undergraduates In Enugu State Nigeria, Adesegun Nurudeen Osijirin, Leonard C. Anigbo, Oliver Okechukwu
Journal of Cybersecurity Education, Research and Practice
This study specifies a Protective Application Use Composite restricted to self-reported protective application use. A cross-sectional survey provided 364 complete records from Computer Science undergraduates at four universities in Enugu State, Nigeria, from 393 distributed questionnaires. The score is the equal-weight average of five questionnaire categories: antivirus, firewall, encryption, multi-factor authentication, and virtual private network use. Reanalysis of the author-supplied item records yielded category means from 2.097 to 2.376 and internal-consistency coefficients from 0.958 to 0.971. The composite mean was 2.170, with a standard deviation of 0.469. The first component of the category-score correlation matrix explained 50.98 percent of variance. …
Markets For Unverified Capability: Why Organizations Facing Real Adversarial Scrutiny Reject The Metrics Academic Ai-Security Research Relies On,
2026
SecurityWall
Markets For Unverified Capability: Why Organizations Facing Real Adversarial Scrutiny Reject The Metrics Academic Ai-Security Research Relies On, Babar Khan Akhunzada
Journal of Cybersecurity Education, Research and Practice
Governments, insurers, and defenders increasingly rely on published capability claims about AI cybersecurity agents to inform procurement, regulation, and risk assessment. Yet a striking pattern runs through the organizations with the most at stake: enterprises and technology companies deploying frontier AI agents against real production infrastructure consistently decline to publish the accuracy metrics that academic and vendor benchmarks compete to report. This paper investigates that pattern as an economic, organizational, and policy problem rather than a purely technical one. We audit eleven independently published AI cybersecurity benchmarks and deployments using a five-dimension integrity rubric and find that benchmarks relying on …
Testing Personalization In Llm-Based Mental Health Support: A Proposed Experimental Design For College Students,
2026
Belk College of Business, University of North Carolina at Charlotte
Testing Personalization In Llm-Based Mental Health Support: A Proposed Experimental Design For College Students, Tchalim P. Agninoube, Greg Williams
Annual DBA Scholars Conference
Rising student mental health demand has outpaced campus counseling capacity. This paper proposes a 2x2 between-subjects experimental design to test whether a personalized LLM-based chatbot, grounded in just-in-time adaptive intervention principles and cognitive load theory, provides better short-term anxiety reduction than a standard chatbot across stress and neutral contexts. The personalized chatbot uses wearable stress data, sleep quality, self-reported overwhelm, and support preferences to select between low-load and elaborative support paths. The design contributes a practical framework for evaluating personalization in AI-driven mental health tools and informs scalable, responsible institutional deployment.
Operating Costs, Liquidity, And Demographic Pressures In Tanzania's Reformed Public Pension System (2004–2024),
2026
University of Dar es Salaam
Operating Costs, Liquidity, And Demographic Pressures In Tanzania's Reformed Public Pension System (2004–2024), Athumani S. Mbuttuka, Ellinami J. Minja, Siasa I. Mzenzi
Business Management Review
The efficiency of public pension systems is critical for accumulating old-age savings and reducing fiscal pressures. This study evaluated Tanzania’s reformed public pension system from 2004 to 2024, covering pre- and post-merger periods, using longitudinal financial data and benchmarking indicators, including cost-to-contribution, cost-to-asset, payout, and dependency ratios, against regulatory and OECD levels. One-tailed sample t-tests compared efficiency and sustainability metrics against benchmarks. Findings show that operating costs averaged 2.8% of assets and administrative cost-to-contribution averaged 11.8%, exceeding the OECD average of 1.6% and the regulatory ceiling of 10%, respectively. Although operating-cost ratios declined after the 2018 restructuring, costs generally remained …
The Digital Responsibility Index: Quantifying Perceived Multi-Layered Responsibility In Cybersecurity,
2026
The Technical University of Cluj-Napoca, Romania
The Digital Responsibility Index: Quantifying Perceived Multi-Layered Responsibility In Cybersecurity, Mircea Ţălu
Journal of Cybersecurity Education, Research and Practice
In the evolving digital landscape, cybersecurity responsibility extends beyond technical safeguards to include individual behavior, organizational governance, and societal impact. This study introduces the Digital Responsibility Index (DRI), a novel metric that quantifies multi-layered accountability across four domains: technical, individual, organizational, and societal. Data were collected through scenario-based Likert-scale surveys with 120 cybersecurity professionals, supplemented by semi-structured interviews with senior leaders. Results reveal that while technical and organizational responsibilities are consistently prioritized, individual and societal accountability remain under-recognized. Leadership engagement significantly enhances responsibility scores across all layers. The proposed DRI framework provides a measurable and potentially actionable basis for assessing …
Ai-Generated Phishing Attacks: Emerging Threats And Detection Strategies For Security Operations Centers,
2026
Webster University
Ai-Generated Phishing Attacks: Emerging Threats And Detection Strategies For Security Operations Centers, Bahzad Khalid
Journal of Cybersecurity Education, Research and Practice
Artificial intelligence (AI) is transforming cybersecurity by strengthening defensive capabilities while simultaneously enabling more sophisticated phishing attacks. AI generated phishing emails increasingly evade traditional detection methods through improved grammar, contextual relevance and realistic communication styles creating significant challenges for Security Operations Centers (SOCs). This study investigates the effectiveness of current email security systems in detecting AI generated phishing emails compared with traditional phishing emails. A mixed method experimental approach was employed using controlled Gmail and Outlook environments to evaluate the detection and classification of multiple phishing scenarios. The results demonstrate that several AI generated phishing emails successfully bypassed initial security …
A Narrative-Driven, Socratic Instructional Framework For Teaching Adversarial Cognition In Cybersecurity,
2026
Independent
A Narrative-Driven, Socratic Instructional Framework For Teaching Adversarial Cognition In Cybersecurity, Joshua K. Goossen
Journal of Cybersecurity Education, Research and Practice
The Socratic method has demonstrated, in studies across law, medicine, and nursing, that dialectic structured questioning improves expert reasoning. Cybersecurity currently teaches tools and techniques but lacks Socratic dialogic leaving graduates underprepared for novel scenarios requiring cross-domain reasoning. Because law, medicine and nursing cultivate similar reasoning as security there is principled reason to expect reasoning benefits could transfer to security students. This paper argues that the correspondence warrants investigation. Investigation requires a named, teachable reasoning target analogous to clinical reasoning and we specify that target as adversarial cognition, a framework integrating adversary features, system architecture, implementation logic, governance structure, human …
Designing For Who Actually Shows Up: A Signal Framework For Online Adult Learners In Cybersecurity And Information Technology,
2026
University of Maryland Global Campus
Designing For Who Actually Shows Up: A Signal Framework For Online Adult Learners In Cybersecurity And Information Technology, Chad Whistle, Mayyada Al-Hammoshi
Journal of Cybersecurity Education, Research and Practice
Online adult learners pursuing cybersecurity and information technology credentials represent one of the fastest-growing student populations in American higher education, yet the frameworks institutions use to support their success were not designed for them. This population, disproportionately drawn from the 41.9 million Americans who hold some college credit but no credential, arrives workforce-embedded, time-constrained, and skeptical of institutional systems that previously failed to serve them. Existing persistence models grounded in traditional student integration theory inadequately account for the behavioral patterns, motivational structures, and credential expectations that define this learner. This paper proposes the SIGNAL Framework (Skills-based credential architecture, Integrated AI-informed …
The Efficient Market Hypothesis In Youth Entrepreneurship: Understanding, Application, And Contextual Factors — A Systematic Literature Review,
2026
University of Dar es Salaam
The Efficient Market Hypothesis In Youth Entrepreneurship: Understanding, Application, And Contextual Factors — A Systematic Literature Review, Omari Khalifa Mbura Prof,, Binto M. Binto
Business Management Review
This systematic literature review explores how youth entrepreneurs understand and apply the Efficient Market Hypothesis (EMH) in their decision-making, and examines the contextual factors influencing the decision-making nexus. Guided by a post-positivist framework, the review synthesises extant literature across youth entrepreneurship, finance, and digital strategy to map emerging themes and identify knowledge gaps. It covered a sample of 38 peer-reviewed articles, selected in accordance with the PRISMA guidelines. Findings of the systematic literature review show that youth entrepreneurs' engagement with EMH is largely experiential and indirect, influenced by digital literacy, social learning, and the realities of rapidly changing market environments. …
Mitigating Common Vulnerabilities And Exposures In Cobol-Based Critical Systems Using The Strangler-Fig Pattern,
2026
Washington State University
Mitigating Common Vulnerabilities And Exposures In Cobol-Based Critical Systems Using The Strangler-Fig Pattern, Lauren E. Caruso, Vincent J. Compeau, Assefaw H. Gebremedhin
Military Cyber Affairs
COBOL-based legacy systems continue to underpin critical infrastructure in banking and government sectors despite their age and associated cybersecurity risks. Originally developed through a Department of Defense–sponsored initiative to standardize business computing, COBOL remains widely used in mission-critical environments. However, these systems face increasing vulnerabilities due to outdated security architectures, workforce shortages, and rising maintenance costs. This paper examines cybersecurity and operational challenges associated with COBOL systems and evaluates the Strangler Fig pattern as a modernization strategy that enables incremental replacement while maintaining continuity. The findings highlight implications for financial institutions and public-sector organizations dependent on legacy infrastructure.
Public Sector Experiences Of Disruptions In The Psychological Contract: The Influence Of Ideological Currency And Digital Transformation On Public Servants,
2026
HU University of Applied Sciences
Public Sector Experiences Of Disruptions In The Psychological Contract: The Influence Of Ideological Currency And Digital Transformation On Public Servants, Willemijn Van Haeften, Xander Lub, Pascal Ravesteijn, Pascale Peters
Communications of the IIMA
Digital transformation is reshaping public-sector work and may alter how public servants evaluate their psychological contract with their employer. This research-in-progress examines how critical incidents associated with digital transformation disrupt psychological contracts and how ideological currency, the perceived commitment to valued societal causes or principles, shapes subsequent trajectories toward renegotiation, repair, or exit. The study uses a qualitative phenomenological design based on semi-structured interviews with 20 employees from five Dutch municipalities experiencing transformation-related changes. The Critical Incident Technique is combined with the dynamic psychological contract phase model to reconstruct disruption trajectories, while thematic analysis identifies recurring patterns across cases. Preliminary …
Faculty Development Courses On Ai: Introducing The Faculty Ai Capability Selection Framework,
2026
Western Carolina University
Faculty Development Courses On Ai: Introducing The Faculty Ai Capability Selection Framework, Dan R. Bradbury, Barbara Jo White, H. Kevin Fulk, Raymond Large
Southwestern Business Administration Journal
University faculty members are faced with how to best address pressing needs for building artificial intelligence (AI) skills. Some of these needs are student-focused, as employers seek graduates with useful AI skills. Faculty members, understanding how generative AI can impact the work they do, also face pressures to enhance their own skills and comfort using AI tools. In this article, we consider AI capabilities that are impacting organizations’ expectations for new college graduates as well as AI capabilities changing the shape of faculty members’ work. We propose the Faculty AI Capability Selection Framework as a means to guide the development …
Interpretive Flexibility And The Social Construction Of Generative Ai In Education: A Scot Analysis,
2026
University of St. Thomas
Interpretive Flexibility And The Social Construction Of Generative Ai In Education: A Scot Analysis, Elham Mousavidin, Sujin K. Horwitz
Southwestern Business Administration Journal
The rapid rise of generative artificial intelligence (GenAI) tools has intensified discussions about their role in education. This study uses the Social Construction of Technology (SCOT) framework to explore how educational stakeholders interpret GenAI and how these interpretations influence its development and adoption. Through an interpretive literature review of research published between 2021 and 2025, we examine stakeholder perspectives using SCOT constructs, including relevant social groups, interpretive flexibility, technological frames, and controversies. Results identify three main interpretive tensions shaping current debates: transformational force versus transactional tool, cognitive augmentation versus cognitive atrophy, and digital empowerment versus digital enslavement. These tensions show …
Strategic Judgment In Leadership Decision-Making: Evaluating Ai In Organizational Contexts,
2026
University of Houston
Strategic Judgment In Leadership Decision-Making: Evaluating Ai In Organizational Contexts, Cate Wengelnik
Southwestern Business Administration Journal
This paper presents a classroom-based approach for teaching strategic judgment in leadership decision-making through the evaluation workplace communication and incorporates the use of artificial intelligence (AI). As AI tools become more common in organizational settings, leaders and employees must be prepared to assess outputs that may appear professional while containing inaccurate, unsupported or potentially risky information. This paper describes an instructional case in which students examine an AI-generated response to an employee inquiry about workplace accommodations and Human Resources related matters. Students (1) evaluate the message for clarity, tone and apparent usefulness, then (2) analyze the organizational risks created when …
Digital Mindset Efficacy For Human-Ai Career Readiness,
2026
California State University San Bernardino
Digital Mindset Efficacy For Human-Ai Career Readiness, Frank Lin, Conrad Shayo
Communications of the IIMA
This article develops digital mindset efficacy as a key capability for human-AI career readiness. It argues that success in AI-shaped workplaces requires not only technical tool use but also the confidence and capacity to learn with, evaluate, collaborate with, and responsibly govern digital and AI systems. Drawing on digital mindset, digital intelligence, AI proficiency, self-efficacy, and life-skills literature, the article proposes a theory-based model linking digital mindset efficacy to AI proficiency and life skills through mastery experience, vicarious learning, social persuasion, and affective regulation. It illustrates the model through a General Education course, Leadership for Global Challenges: Exploring the Digital …
Twenty Years Later: Measuring The Accessibility Of The U.S. State Government Websites,
2026
Georgia College & State University
Twenty Years Later: Measuring The Accessibility Of The U.S. State Government Websites, Tanya Goette, Sean Lynch
Communications of the IIMA
Web accessibility remains an important issue as individuals rely on Internet access and web site accessibility for daily functions. It is an unwritten rule that people should access an organization’s website to search for answers before calling to ask a human (or a bot). Over twenty years ago, in 2005, a study (White, Goette, & Young) was conducted to analyze the accessibility of state government web sites. The assumption was made that state governments should be setting an example of following accessibility guidelines. The study found that about a third of the home pages did not meet basic accessibility guidelines. …
