Management Information Systems Commons^™

Contemporary Cybersecurity Challenges In Emerging Technologies: A Systematic Literature Analysis, Faztudo Languisse Prof

Journal of Cybersecurity Education, Research and Practice

The accelerating convergence of artificial intelligence (AI), the Internet of Things (IoT), cloud computing, blockchain, and quantum computing has fundamentally transformed the global threat landscape, introducing cybersecurity challenges of unprecedented complexity and scale. This systematic literature review synthesizes findings from peer-reviewed publications, institutional reports, and regulatory documents published primarily between 2020 and 2025 to provide an integrated analysis of contemporary cybersecurity challenges across five key emerging technology domains. The review identifies critical vulnerabilities inherent to each domain, documents the evolution of threat actors and attack methodologies — including AI-powered ransomware, adversarial machine learning, and harvest-now-decrypt-later quantum attacks — and evaluates …

Building The Next Cybersecurity Workforce: A Grades 7–12 Curriculum To Close The Cyber Talent Gap, Mohammed A. Salam, Iqbal Shareef, Rich P. Manprisio

Journal of Cybersecurity Education, Research and Practice

In today’s rapidly evolving technological landscape, cyberattacks pose increasing threats, yet a global shortage of cybersecurity and digital forensics professionals leaves industries vulnerable, similar to having too few law enforcement officers in a densely populated city. The judicial system faces rising digital crimes and fraud cases, further strained by the lack of experts to analyze and extract digital evidence. Despite high demand, millions of positions remain unfilled. This paper identifies the root causes of the cybersecurity workforce shortage and proposes a targeted solution: a curriculum for Grades 7–12 designed to foster cybersecurity awareness and interest. The methodology included a comprehensive …

A Study On Adaptive Governance Of "Open Competition Mechanism For Selecting Best Candidates" Projects From An Information Asymmetry Perspective, Xi Wu, Wei Zhang, Lei Li, Jie Chen, Xiuni Zhang

Journal of Scientific Information Research

[Purpose/significance] "Open Competition Mechanism for Selecting Best Candidates" is a new research management model proposed by China to break through key core technologies, which is of great significance for addressing "bottleneck" technical problems.[Methods/process] Based on information asymmetry theory, complexity science theory, and adaptive governance theory, this paper adopts theoretical interpretation, case study, and comparative analysis. It systematically diagnoses information asymmetry issues in the project management of this mechanism; constructs a three-dimensional adaptive governance framework of" Perception—Diagnosis, Response—Design, Accumulation—Learning"; designs adaptive governance tools by drawing on the experience of the U.S. Defense Advanced Research Projects Agency(DARPA)model; and conducts empirical verification with …

Security Architecture Decision Framework For Endpoint Protection In Resource-Constrained K-12 Environments, Jason Folker

Journal of Cybersecurity Education, Research and Practice

K-12 educational institutions face an ongoing challenge in protecting endpoints when budgets and staffing prevent the implementation of standard security best practices. Technology directors routinely make difficult decisions about administrative rights, software controls, and security tooling, but they lack frameworks designed for the constraints and priorities specific to educational environments. This paper develops a security architecture decision framework tailored for K-12 endpoint protection. The framework integrates five weighting dimensions to help technology directors evaluate competing architectural choices. These dimensions include educational impact, security risk reduction, resource requirements, compliance obligations, and operational feasibility. The framework creates structured documentation that helps decision-makers …

Mental Health Challenges Associated With Social Media Use And Effective Management Strategies: A Systematic Literature Review, Ebrahim Timol, Kebashnee Moodley

The African Journal of Information Systems

This study conducts a Systematic Literature Review (SLR) to investigate the mental health challenges associated with increasing social media (SM) usage. The review compares these effects across youth and adult age groups and explores how mental health issues related to SM use have evolved before, during, and after the COVID-19 pandemic. Through a comprehensive search of databases including ProQuest, Scopus, JSTOR, and Google Scholar, 43 relevant articles were analyzed using thematic analysis. The findings reveal that social media usage exacerbates mental health issues such as depression, anxiety, fear of missing out (FOMO), social and financial comparisons. The COVID-19 pandemic notably …

Cognitive Load In Law Enforcement Decision Support Systems: A Human-Centered Evaluation Of Traditional And Ai-Enhanced Mdts, Benjamin Burchfield

Dissertations

This dissertation investigates the cognitive and usability associations of mobile data terminal (MDT) systems used by law enforcement officers during routine operational tasks. Grounded in Cognitive Load Theory (CLT), Human-Computer Interaction (HCI), and the Technology Acceptance Model (TAM), the research examines how MDT interface design and interaction methods including AI-enhanced and speech-enabled interfaces are associated with perceived cognitive workload, technology acceptance, and operational performance during simulated traffic stop scenarios. Using a framed field experiment with active law enforcement officers, the study evaluates relationships among user experience, perceived cognitive load, task performance, and officers’ willingness to adopt MDT technologies.

Managerial Mindset And Ai Adoption In Smes. A Systematic Review Of Cognitive, Behavioural, And Institutional Foundations, Shabin Muzibbhai Shaikh, Shivkanya Birla

European Management Studies

Purpose: This study examines how managerial mindset shapes the adoption of artificial intelligence (AI) in small and medium‑sized enterprises (SMEs). While existing research often highlights resource or capability constraints, this review shows that deeper cognitive, behavioral, and institutional foundations strongly influence how managers interpret AI and decide whether to engage with it.

Design, Methodology, and Approach: A systematic literature review (SLR) was conducted using established protocols. Thirty influential studies across managerial cognition, behavioral strategy, institutional theory, and technology adoption were identified, screened, and synthesized. Their insights were integrated into a multilayered conceptual model explaining how mindset shapes AI adoption in …

Operationalizing Supply-Chain Hygiene In Graduate Is Education: A Hands-On Module For Secure Software And Ai/Ml Pipelines, Dominic A. Wilson

Journal of Cybersecurity Education, Research and Practice

Supply-chain attacks (including typosquatting, dependency confusion, compromised builds, dataset poisoning, and backdoored models) pose growing threats to analytics platforms central to Information Systems (IS). While frameworks like the Secure Software Development Framework (SSDF) and Supply-chain Levels for Software Artifacts (SLSA) offer guidance, IS curricula often lack accessible, infrastructure-light modules that build practical skills for mitigating these risks. This experience report presents a two-week module embedded in a graduate Secure Coding course required for a Master’s in Applied Security and Analytics degree. The module operationalizes secure development habits across both traditional software and machine learning (ML) pipelines. The module addresses a …

The Nist Artificial Intelligence Risk Management Framework: Adoption Challenges And Opportunities, Gillian Kennedy, Devin Patel, Humza Sheikh, Paul Wagner, Robert J. Honomichl

Journal of Cybersecurity Education, Research and Practice

Artificial intelligence (AI) is being adopted at an exponential rate to improve efficiency, decision-making, and cybersecurity, but its rapid integration introduces new and often poorly understood risks, including system errors, algorithmic bias, data privacy concerns, security vulnerabilities, and ethical dilemmas. This paper examines how organizations are implementing AI and evaluates the National Institute of Standards and Technology's AI Risk Management Framework (NIST AI RMF) as a tool for managing these risks. It reviews the benefits of AI adoption alongside the risks emerging from its use in business and broader society and examines the legal and ethical challenges organizations face when …

To What Extent Could Quantum Computing Pose A Threat To Global Modern Data Security?, Aniket Maheshwari

Journal of Cybersecurity Education, Research and Practice

Quantum computing has emerged as a transformative technology with the potential to fundamentally disrupt modern cryptographic systems that underpin global data security. This paper examines the extent to which quantum computing could pose a threat to modern global data security by synthesising existing technical, institutional, and policy-oriented literature. Drawing on a narrative review of scholarly research, industry reports, and government frameworks, the analysis focuses on the implications of quantum algorithms such as Shor’s and Grover’s, which challenge the mathematical foundations of widely used cryptographic schemes. The findings suggest that while quantum computing presents a credible long-term threat to asymmetric encryption …

Wearable Technology For Depression Assessment: A Scoping Review Of Datasets, Ml Tlachac, Hayley K. Elsbree, Michael V. Heinz

Information Systems and Analytics Department Faculty Journal Articles

As wearable technology continues to develop, wearable devices are becoming more common and being increasingly used to collect datasets for depression assessment. Documenting the collection procedures, recruitment strategies, and demographics of these datasets is important to allow for synthesis across the datasets and uncover common limitations. As such, in this scoping review, we identify 80 observational datasets collected by wearable devices through the start of 2025 that can be used for depression assessment. Of the 80 datasets, 50% used an actigraph and 47.5% used other wristbands. These wearable devices were used to collect activity, sleep, and heart rate for 87.5%, …

Next-Generation Dns Rpz For Automated Threat Intelligence, Risk-Aware Filtering, And User-Centric Security, Jinu S, Kishore V. Krishnan, Rajarshi Middya, Annasamy Bagubali

Journal of Cybersecurity Education, Research and Practice

The Domain Name System (DNS) remains a critical attack vector exploited by adversaries for command-and-control (C2) communication, data exfiltration, and phishing campaigns. DNS Response Policy Zones (RPZ) have emerged as an effective defense mechanism by enabling the redirection or blocking of queries to malicious domains. However, current RPZ implementations encounter significant challenges related to scalability, adaptability, and user awareness, often resulting in static policies, delayed updates, and a high incidence of false positives. To address these limitations, this paper proposes an enhanced RPZ framework that integrates adaptive threat intelligence, machine learning-driven dynamic policy updates, and user-context-aware security controls. The proposed …

The Intersection Between Mindfulness And Cybersecurity: A Tool To Reduce Burnout And Improve Operational Effectiveness, Ivo Ricardo Dias Rosa

Journal of Cybersecurity Education, Research and Practice

Abstract: This paper offers a conceptual discussion of how mindfulness, understood as present moment awareness and deliberate attention regulation, can support cybersecurity professionals. Drawing on a narrative synthesis of workplace mindfulness, burnout, and high pressure decision making literature, we map plausible self regulation mechanisms to typical cyber defense tasks. Rather than presenting new empirical data, we develop an explanatory framework linking attention, reactivity, and recovery to decision quality, team communication, and adherence to incident playbooks. We focus on two connected outcomes: reducing burnout in roles with sustained cognitive and emotional demands, and improving operational effectiveness during critical situations such as …

Predicting Cybermindfulness With The Cyber-Health Belief Model, James Robinson, Yan Tian, Thomas Skill

Journal of Cybersecurity Education, Research and Practice

This study describes the development of a Cyber-Health Belief Model (CHBM). The health belief model (HBM) is a message strategy that is widely and successfully used in public health research [1] and has been extended into phish training. Most phish training programs assume  end users are victimized because they have insufficient information to defend themselves. While near-term training effectiveness has shown to be effective, evidence for sustained behavioral change is thin [4]-[7].  This problem indicates that the traditional approaches need to be reconsidered and that new models are needed.  Recent research suggests attentional deficits, cyber-fatigue and fatalism and a sense …

Cyber-Ready Libraries, Building Digital Fortresses For Tomorrow, Adeyinka B. Tella, Oluchi Precious Ogbonna Dr, Adebola Aderemi Olatoye Mrs

Journal of Cybersecurity Education, Research and Practice

Background and Purpose: Libraries are evolving into highly networked information ecosystems in this age of fast digital transformation, which increases their susceptibility to cybersecurity risks. The study "Cyber-Ready Libraries: Building Digital Fortresses for Tomorrow" looks into how prepared libraries are to face cyber threats and considers methods for creating information systems that are safe, robust, and ready for the future. To safeguard digital assets and user data, the study aims to assess existing cybersecurity practices in library settings and offer a roadmap for combining technological, human, and governance solutions.

Design/Method: The existing literature, case studies, and policy frameworks pertaining …

Trends In Non-Profit Cybersecurity: Analyzing Three Years Of Incident Data From The Npcir, Stanley Mierzwa, Joanna Paliszkiewicz, Edyta Skarzyńska

Center for Cybersecurity

This study analyzes cyberattack trends targeting non-profit organizations using longitudinal data collected over a three-year period within the Non-Profit Cybersecurity Incident Repository (NPCIR). Developed through a National Security Agency Center of Academic Excellence in Cyber Defense (NSA CAE-CD) designated center, the NPCIR applies an open-source intelligence (OSINT) methodology to systematically document cybersecurity incidents affecting the global non-profit sector. This study examines attack types, threat actor characteristics, sectoral distribution, and cybersecurity impacts using the Confidentiality–Integrity–Availability (CIA) triad framework. The results indicate that availability-related incidents, particularly ransomware and distributed denial-of-service (DDoS) attacks, constitute the most prevalent threats, while confidentiality breaches remain highly …

Trust And Pre-Employment Background Checks When Onboarding And Maintaining Information Security And Cybersecurity Staff, Stanley Mierzwa

Center for Cybersecurity

The realm of trust is broad and can include many facets that are difficult to capture and catalog. In relation to the work roles of information security and cybersecurity, the intersection of trust in human resource management is critical and an evolving area within most modern organizations, in almost any sector, and of any size. A foundational element of trust is fundamental to effective mission and work roles in information security and cybersecurity, as well as to every employee tasked with contributing to the security of an organization’s assets. This chapter will include sections on the role trust can and …

Technology Disruptions In Platform Ecosystems: Ai, Market Adaptation, And Digital Resignation, Eunah Cho

Dissertations, Theses, and Capstone Projects

This dissertation examines how technological disruptions reshape behavior, competition, and user response in platform ecosystems. Bringing together two studies of generative AI in digital labor market and one study of mandatory privacy disclosure in mobile app ecosystems, it argues that platform technologies do not affect participants uniformly. Instead, their effects are mediated by market structures, competitive dynamics, and platform dependence.

The first study shows that ChatGPT shifts workers’ human capital strategies by reducing investment in specialized depth while increasing skill diversity, revealing a move from exploitation toward exploration. Yet market rewards remain uneven, as workers who integrate AI with deep …

Ai-Augmented Financial Advisors: Comparing Ai And Human Analyst Investment Recommendations In Agreement, Performance, And Firm Size Effects, Crystal Chen

Honors College Theses

This study examines the level of agreement and performance between artificial intelligence (AI) generated investment recommendations and human analyst recommendations across U.S. publicly traded firms. Using a sample of twelve companies categorized by firm size (large, mid, and small), the study collects buy, hold, or sell recommendations from generative AI systems and human analysts. Agreement between AI-to-AI and AI-to-human recommendations is measured using Cohen’s Kappa agreement. Portfolio performance is evaluated by constructing equal-weighted portfolios for each recommendation source and size category. Risk-adjusted returns are measured using the Sharpe ratio over 1-, 2-, and 3-month periods. Furthermore, the study tests whether …

Determinants Of Public Trust In E-Government: A Comprehensive Review And Conceptual Framework Over The Past Decade, Andrean Nathaniel, Sumartono Sumartono, Abd. Qadir Muslim

BISNIS & BIROKRASI: Jurnal Ilmu Administrasi dan Organisasi

The evolution of digital governance has heightened the strategic significance of public trust in the implementation of e-government. Despite numerous empirical investigations, the results concerning the factors influencing trust remain fragmented and largely centered on technological aspects. This study seeks to systematically identify, categorize, and synthesize the determinants of trust in e-government through a structured literature review of 21 Scopus-indexed articles published between 2015 and 2025. Utilizing an evidence-based synthesis methodology, the study organizes determinants of trust into four main categories: citizen-related, technological, institutional, and risk-related factors. The findings indicate that technological and citizen-related factors are the most significant predictors …