Knowledge Flows, Transfer, Sharing and Exchange
Permanent URI for this collectionhttps://hdl.handle.net/10125/112526
Browse
Recent Submissions
Item type: Item , Exploring Generative and Agentic Artificial Intelligence in Knowledge Transfer and Management Effectiveness: A Hybrid Approach(2026-01-06) Romero-Mariona, Jose; Romero, EsperanzaThis paper explores and contrasts the roles of generative artificial intelligence (AI) and agentic AI in knowledge transfer (KT) and management (KM) across educational, organizational, and computational domains. With the proliferation of AI systems like ChatGPT, DALL·E, and autonomous agents such as AutoGPT, the distinction between generative and agentic capabilities has critical implications for how knowledge is created, contextualized, and transmitted. Drawing on several sources, this study provides a literature review, conceptual analysis, and forward-looking discussion on how each AI paradigm supports or hinders effective knowledge transfer and management. Furthermore, the paper proposes the integration of generative and agentic AI through a hybrid framework for ultimately enhancing knowledge transfer and management.Item type: Item , To Reality and Beyond: Employing XR to Facilitate Tacit Knowledge Flow(2026-01-06) Brewster, JonTacit 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.Item type: Item , The Knowledge Dimensions of Digital Twins: An Application of Knowledge Flow to Digital Twins(2026-01-06) Cahoe, Timothy; Shives, Timothy; Richardson, MichaelThis paper extends Nissen’s (2002) knowledge flow model by introducing three knowledge dimensions to evaluate digital twins: tacit–explicit, segregated–integrated, and private–ubiquitous. Through a review of 29 digital twin-related articles from ICIS and HICSS (2021–2024), we map how each study reflects these dimensions and explore their implications for knowledge generation and organizational learning. Our findings suggest that integrated and explicit digital twins contribute most effectively to organizational knowledge flows, while ubiquitous access enhances incremental innovation. Notably, integrated twins facilitate the emergence of counterfactual knowledge—enabling exploration of system behaviors in alternative scenarios. We propose that these knowledge dimensions offer a useful framework for assessing digital twins in both research and practice, particularly in domains seeking to foster innovation through digital modeling.Item type: Item , Climbing Knowledge Hills: Systemic Thinking and the Topography of Lucky Discovery(2026-01-06) Spurný, JosefThis conceptual paper explores the role of systemic thinking and luck in scientific collaboration. Innovative ideas often emerge from interdisciplinarity, yet increasing specialization in science may have a negative effect on the knowledge transfer across different domains. We propose that familiarity with complex systems theory —- a universal conceptual framework -- may improve the likelihood of generating novel interdisciplinary insights and reduce knowledge friction. To illustrate this mechanism, we apply the concepts of energy landscapes and critical transitions. Selected principles of complex systems are presented to illustrate their cross-domain applicability. We conclude that adopting a systemic perspective can optimize the knowledge network between otherwise cognitively distant scientific communities, thereby increasing the probability of serendipitous and innovative knowledge combinations.Item type: Item , The Trifecta of Knowledge Flow: Clarity, Relevance, and Experience(2026-01-06) Morton, Clare; Shigley, PaulKnowledge is the lifeblood of any organization. Its effective flow, from generation to application, determines innovation, efficiency, and ultimately, success. However, simply possessing knowledge isn't enough. For knowledge to truly fuel an organization, it must flow freely and efficiently. This paper explores three key factors—clarity, relevance, and experience—that significantly influence knowledge transfer and minimize Knowledge Friction, a concept introduced by Nissen (2017) to explore their relevance in enabling action using Artificial Intelligence (AI)-generated emails.Item type: Item , Introduction to the Minitrack on Knowledge Flows, Transfer, Sharing and Exchange(2026-01-06) Morton, Clare; Yasuoka, Mika; Shigley, Paul