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Enriching the COBIT 2019 IT Governance Framework through a Structured Comparison with Selected IS Theories
Get PDFCOBIT 2019 is a globally used IT Governance Framework. In the context of our research on COBIT as an artefact, we have compared COBIT with selected Information Systems theories to identify potential new concepts to include in COBIT to improve the inherent quality of COBIT. We have selected TAM (‘Technology Acceptance Model), SHT (Stakeholder Theory), VSM (Viable Systems Model) and CT (Contingency Theory) as theories to compare COBIT with and made a structured comparison at the level of key concepts. We have thus identified multiple potential enhancements to COBIT, and illustrated how our suggestions can improve the COBIT conceptual model, and provide better governance systems to practitioners
Modeling Strategic Drafting in Esports: A Generative AI Approach Using BERT for Ban/Pick Prediction in DotA 2
Get PDFDespite the rapid growth of the video game industry, particularly in the realm of esports, the comprehension of the increasingly intricate strategic behaviors, such as drafting, ban/pick, item builds, and others, within these competitive environments continues to be largely neglected. This study proposes the utilization of generative AI (GenAI) for the purposes of draft prediction and analysis in esports. We introduce a BERT-based model to predict ban/pick behavior in professional DotA 2, trained on 2,295 matches. Our proposed method not only serves as an innovative and more accurate framework to predict strategic behaviors in esports but can also be used to analyze ban/pick suggestions and identify key interventions, serving as a tool for practitioners to analyze the metagame. This work contributes both a methodological advance in modeling sequential strategic decisions and a practical framework that can be extended to other complex multi-agent behaviors in games
Harnessing Large Language Models for Real-Time Cyber Threat Detection and Response: A Comprehensive Survey
Get PDFLarge Language Models (LLMs) have recently gained recognition as transformative tools across various domains, especially in cybersecurity. This survey explores the state-of-the-art applications of LLMs in tackling complex and rapidly evolving cyber threats. By synthesizing insights from recent literature, we analyze how LLMs enable real-time threat detection, detailed incident analysis, and actionable mitigation strategies. Compared to traditional cybersecurity approaches, LLMs demonstrate notable advancements in detection accuracy and response efficiency. We offer a comprehensive evaluation of the capabilities and limitations of LLM-based methodologies, spotlighting real-world use cases where these models have shown exceptional effectiveness. Additionally, we identify critical research challenges and provide future directions to enhance the performance, interpretability, and safety of LLM-driven cybersecurity systems
Introduction to the Minitrack on Data Science and Machine Learning to Support Business Decisions
No full textTo Reality and Beyond: Employing XR to Facilitate Tacit Knowledge Flow
Get PDFTacit knowledge—experiential, embodied, and context-sensitive—is central in occupations requiring 1st person, spatial-temporal skills, but can be difficult or impossible to transfer, particularly in military domains. This study investigated whether Extended Reality (XR), delivered through low-cost commercial off-the-shelf (COTS) head-mounted displays, could facilitate such knowledge flow for U.S. Navy (USN) bridge teams. A within-subjects design compared the Office of Naval Research Technical Solutions’ XR based Virtual Bridge and Nautical Trainer (VIBRaNT) to the Navy’s multi-million-dollar physical mockup system, the Navigation, Seamanship, and Shiphandling Trainer (NSST). Results showed that VIBRaNT XR compared favorably with NSST in perceptions of cognitive workload, system usability, and training preparation. Notably, XR-first training improved perceived mockup performance, suggesting XR has a positive impact on mockup training. These findings support XR as a viable, portable, and cost-effective complement to traditional training systems to build tacit knowledge in teams performing high-risk operations
A Systematic Review of the Application of Affordance Theory in Design for Well-Being
Get PDFAffordance theory offers a valuable lens for understanding how designed artifacts support well-being, yet its application in the context of physical artifacts remains underexplored. We conducted a literature review to synthesize how affordance theory has been used to design or evaluate well-being outcomes in relation to consumer products, built environments, and other physical artifacts. Our analysis revealed a small but growing body of interdisciplinary work, with affordance theory applied either as a conceptual foundation or as an analytical framework. While most studies retrospectively assessed well-being outcomes, few proposed methods for applying affordances in design processes. We identified key themes related to the application of affordance theory to promote physical, emotional, and social dimensions of well-being, particularly among vulnerable populations. Ultimately, we identified opportunities to expand the use of affordance theory to advance design processes supporting well-being and design justice, calling for more explicit frameworks that center context and diversity
Toward a Technology Inspiration Model: Conceptualizing Inspiration in Technology Experience and Design Evaluation
Get PDFThis paper introduces the Technology Inspiration Model (TIM), a conceptual framework for evaluating how technologies evoke imaginative, reflective, and motivational user responses. TIM consists of two interrelated components: the TIM Scale, a measurement instrument capturing three experiential dimensions (Evocation, Transcendence, and Motivation), and the TIM Process Model, which situates these responses within a broader design and evaluation cycle. We conducted a mixed-method construct development study (N = 19) using an AI–mixed reality system designed to support speculative thinking. Data from questionnaires, expert card-sorting (N = 6), and qualitative interviews were triangulated to assess interpretability and dimensional coherence. This process informed a refined 6-item version of the TIM Scale with improved clarity and alignment. While preliminary, the results offer a foundation for measuring source-specific inspirational impact and contribute a framework to support formative evaluation of future-oriented technologies, particularly those targeting experiential and affective engagement
Going the ‘Extra’ Mile: The Role of Sensemaking in Extra-Role Security Behaviors
Get PDFAs organizations are increasingly challenged by evolving information security threats that demand more than employee compliance to address, interest has grown in understanding extra-role security behaviors (ERSBs)—voluntary actions employees take beyond formal security policies that benefit organizations' security. Despite this interest, theoretical understanding of the individual and organizational factors that shape the cognitive process motivating such behaviors remains limited. Drawing on the lens of sensemaking, this study develops a theoretical framework presenting the process by which employees navigate organizational ambiguity and engage in ERSBs. Based on 40 in-depth interviews, our findings highlight the critical roles of security culture as organizational antecedent as well as cognitive frames and emotions as individual antecedents on the sensemaking process, ultimately influencing ERSBs. Using these insights, organizations and practitioners can better design and communicate policies, promote security dialogue, and build a security-forward environment that encourages ERSBs across all organizational roles
