hubecall | Tag : organizational innovation

Intelligent Knowledge Management Systems: Integrating Human and AI Cognition for Organizational Innovation

Knowledge Management Research & Practice (TANDF) — Tue, 11 Aug 2026 00:55:16 GMT

Giovanni Schiuma, Università LUM

Péter Baranyi, Corvinus University

Francesco Santarsiero, Università della Basilicata

Dagmara Lewicka, AGH University of Science and Technology

The intersection of Knowledge Management (KM) and Artificial Intelligence (AI) is rapidly transforming how organizations create, share, and apply knowledge to pursue sustainability. In this context, 'intelligent knowledge' refers to the management of knowledge systems that dynamically combine human cognitive capacities with advanced AI-driven tools and models to facilitate ethical, inclusive, and purpose-driven innovation. This Special Issue examines how intelligent knowledge management systems can enhance organizations' innovation capacity and align their efforts with environmental, social, and governance (ESG) commitments and the Sustainable Development Goals (SDGs).

The convergence of Knowledge Management (KM) and Artificial Intelligence (AI) is increasingly recognized as a pivotal driver for advancing organizational sustainability in the digital era. In today's complex business landscape, organizations face challenges in developing intelligent knowledge systems—AI-augmented frameworks designed to support sustainable decision-making, foster innovation, and ensure strategic alignment with long-term value creation goals. The emergence of generative AI and large language models (LLMs) is transforming knowledge processes, enabling organizations to dynamically retrieve, synthesize, and apply knowledge to address complex sustainability challenges.

While traditional Knowledge Management (KM) has primarily focused on the systematic processes of creating, storing, sharing, and applying knowledge, the integration of Artificial Intelligence (AI) introduces new dimensions of computational intelligence that enhance and, in some cases, automate these foundational functions. AI-driven technologies are increasingly supporting knowledge-based decision-making, thereby fostering the emergence of intelligent knowledge systems that can reason, learn, and act based on context-aware insights to promote sustainable and purpose-driven outcomes. Within KM theory, the enduring distinction between tacit and explicit knowledge remains highly relevant: while AI excels in processing and managing explicit knowledge, the challenge of capturing and leveraging tacit knowledge persists, particularly in enabling meaningful and ethical human-AI collaboration. Recent studies emphasize that AI should be viewed as augmenting, rather than replacing, human expertise in sustainability-oriented knowledge work, thereby reaffirming the centrality of co-creation within contemporary knowledge management frameworks.

The evolution of KM in the AI era thus calls for new conceptual models and dynamic strategies that can support knowledge environments aligned with long-term sustainability objectives. As organizations strive to integrate human and AI cognition into their knowledge systems, the ability to flexibly interact with and adapt through AI-generated insights becomes a defining capability for intelligent knowledge management. The impact of AI on organizational learning and strategic knowledge flows must be critically assessed from a sustainability perspective, recognizing that AI technologies can either enhance or threaten knowledge-based resilience and responsible innovation. Generative AI and machine learning models are reshaping the landscape of KM, revolutionizing how organizations capture, synthesize, and apply knowledge to create sustainable value.

While large language models (LLMs) and AI-driven knowledge repositories significantly increase the speed and scope of knowledge retrieval and decision support, they also introduce critical risks related to epistemic validity, algorithmic bias, and the sustainability of automated knowledge production. These challenges are especially acute when AI-generated knowledge informs decisions with significant social or environmental implications, where the accuracy, contextual sensitivity, and ethical integrity of outputs are vital for maintaining organizational trust, legitimacy, and long-term innovation capacity.

This Special Issue aims to foster a deeper understanding of how intelligent knowledge systems, powered by the integration of AI technologies, human cognition, and contemporary KM practices, are transforming the pursuit of sustainability, innovation, and responsible governance within organizations. We invite contributions that critically explore how human-AI collaboration can be harnessed to develop resilient, ethical, and sustainability-oriented knowledge ecosystems. Beyond conceptual and theoretical contributions, we particularly encourage empirical studies that provide evidence-based insights into how intelligent knowledge processes enhance sustainability performance, strengthen ESG strategies, and promote adaptive, long-term value creation. Given the transformative impact of AI on knowledge flows and strategic decision-making, special attention will be devoted to research that examines the capabilities, limitations, and practical applications of AI-enabled knowledge systems, including generative AI tools and large language models (LLMs), in advancing sustainable organizational practices.

Potential topics

The design of intelligent knowledge systems integrating AI technologies and human cognitive capacities
Reimagining knowledge management (KM) practices to align with ESG commitments and sustainable development goals (SDGs)
Human-AI collaboration models to augment human expertise in knowledge work
The transformative impact of generative AI and large language models (LLMs) on knowledge processes
Integrating Human cognitive systems with AI-enabled technologies
Human-based emotional knowledge and AI-based rational knowledge
Challenges in Managing Tacit and Explicit Knowledge in AI-Enhanced Knowledge Management Environments
Development of transformative leadership competencies for navigating digital complexity and fostering sustainable innovation
Strategic knowledge intelligence approaches for building resilience, responsible innovation, and adaptive capabilities
Democratization of knowledge access and support for inclusive value co-creation through intelligent knowledge systems
Risks and challenges of automated knowledge production and ensuring the sustainability of AI-generated knowledge
Governance models and policy frameworks to guide the ethical evolution of intelligent knowledge systems

Timeline

January 15, 2026: Submissions open
June 1, 2026: Review process on a rolling basis
August 16, 2026: Manuscript submission deadline

Creativity and copyright in the shadow of GenAI: Managing and organizing creative content in the digitalization frenzy

Innovation (TANDF) — Tue, 11 Aug 2026 00:55:16 GMT

Konstantin Hondros, Helmut Schmidt University

Leonhard Dobusch, University of Innsbruck

Astrid Mager, Austrian Academy of Sciences Vienna

Patricia Aufderheide, American University Washington

Patrick Cohendet, HEC Montréal

Creativity refers to the generation of novel and valuable ideas and artifacts and is central to the management and organization of innovation. Mimicking creativity, generative artificial intelligence (GenAI) technology rapidly generates potentially novel and valuable content such as text, images, music, or video. The multiple implications of GenAI for the management and organization of creativity and innovation are exemplified in the burgeoning literature on creative problem solving, the organization of creative and knowledge-based work, employee creativity, and human-nonhuman interaction in creative processes.

Running through organizational discussions of GenAI and creativity, but often not made explicit, are copyright issues, such as rights management of training data or ownership of generated content. Copyright refers to the legal framework that protects but also delineates ownership of creative content. GenAI, and digitization more broadly, is moving copyright from the legal niches of the creative industries to the center of practices and routines in organizations and everyday digital life. Any activity related to GenAI requires the management of copyright within and across organizations. Yet an in-depth discussion of the interrelation between creativity and copyright in the context of GenAI is missing from management and organization studies, as well as social science at large.

This Call for Papers suggests that the accelerating developments of digitization and GenAI call for more attention to the interrelation between creativity and copyright in organizations. At the same time, this provides a unique opportunity to study how organizations deal with regulatory uncertainty due to rapid technological developments. Such a mismatch between technology and regulation opens up all kinds of opportunities and challenges for creative organizing and organizing creativity alike.

We particularly encourage studies that use empirical methods to explore everyday practices of dealing with GenAI and copyright within and beyond organizational contexts, but conceptual submissions are also very welcome. Empirically, we invite contributions from all kinds of fields potentially affected by GenAI and its relationship to copyright – from the creative industries and journalism to online platforms and services, to research and science itself. We welcome contributions from different disciplines interested in the empirical analysis of technology and innovation – ranging from organization and management studies, media and communication studies, cultural studies, information studies, sociology, political science, history, science and technology studies, musicology, to activist research and practice-based approaches.

The aim of this Special Issue is to provide fundamental insights in the management and organization of the interrelation between copyright and creativity in the context of GenAI. We will achieve this by showcasing how this interrelation unfolds in various creative and innovative arenas, such as creative industries, journalism, digital platforms, and open science. We expect contributions to make copyright a more accessible research topic across disciplines and contexts by fostering an interdisciplinary and transdisciplinary community around the topic of copyright and creativity in organization and management. Through this special issue, we aim to occupy a central position in the discourse about organizing and managing creativity in the context of GenAI and emerging digitalization.

Potential topics

Creativity in the shadow of GenAI: GenAI crucially transforms creative practices and knowledge production that we only start to understand, particularly regarding the interrelation between creativity and copyright. How does GenAI affect the creation and management of creative content? How do creative, artistic practices change through the use of GenAI? What role does copyright play in creative transformations and organizational changes co-produced with GenAI?
Doing copyright: A practice lens of 'living copyright' is missing in much of the organization and management literature in the context of creativity, but also in other contexts and fields. How does GenAI foster practices related to copyright within and across organizations? Who are the actors and actants doing copyright in the context of GenAI? How are these new practices shaping the organization of creativity? How is emerging regulation of GenAI affecting organizations and organizational creativity?
Conflicts over copyright: Organizations are involved in many conflicts over copyright that touch upon creativity in multiple ways, but we know little about them. How do conflicts over copyright foster or impede with creativity and the generation of creative content? What is the role of digitization in these conflicts, and how are these conflicts evolving with GenAI? How do these conflicts affect creativity in organizations? How do conflicts over copyright and AI relate to managing technological innovation?
Inequality and copyright: Copyright plays an important role in distributing access to creative content and to knowledge in global economies more broadly. How does GenAI affect access to knowledge within and across organizations? Who actually owns copyright and how does GenAI influence ownership structures? What are the conventions and managerial practices for allocating copyright among actors and agents in organizations? What are the consequences of copyright inequality for creativity?
Alternatives to copyright: Commons-based creation and knowledge-sharing approaches have proven invaluable for creativity in many organizations, especially in the context of digitization. What are the alternatives to exclusive copyright regimes in the context of GenAI? How do alternatives to copyright provide counter-imaginaries in digital environments? How do such approaches challenge or facilitate the management and organization of creativity in the context of GenAI?
Researching copyright: Copyright is ubiquitous, yet highly abstract and complex, both in its legal structure and in its real-world impact on creativity. Making copyright-sensitive creativity and innovation research more accessible to the discourses of management and organization is also a methodological issue. What are methodologically promising ways to investigate the interrelation between copyright and creativity in organization and management? What are the specific obstacles in the context of GenAI?

Timeline

January 25, 2026: Deadline for abstract submission for paper development workshop
February 27, 2026: Online paper development workshop
September 30, 2026: Manuscript submission deadline