nep-knm New Economics Papers
on Knowledge Management and Knowledge Economy
Issue of 2025–08–25
five papers chosen by
Laura Nicola-Gavrila, Centrul European de Studii Manageriale în Administrarea Afacerilor


  1. Integrating an ISO30401-compliant Knowledge management system with existing business processes of an organization By Aline Belloni; Patrick Prieur
  2. Integrating an ISO 30401-compliant Knowledge Management System with the processes of an Integrated Management System By Patrick Prieur; Aline Belloni
  3. The Post Science Paradigm of Scientific Discovery in the Era of Artificial Intelligence: Modelling the Collapse of Ideation Costs, Epistemic Inversion, and the End of Knowledge Scarcity By Christian William Callaghan
  4. The Contribution of Organizational Culture to the Dynamics of Organizational Learning: A Theoretical Literature Review By Hind El Mazyani; Loubna Belmourd; Yousra Bey
  5. Pro-Patent Policy in the Knowledge-Based Economy By Noda, Hideo; Fang, Fengqi

  1. By: Aline Belloni (Ardans SAS - Ardans SAS); Patrick Prieur (Ardans SAS - Ardans SAS)
    Abstract: Business process modeling is used by most organizations as an essential framework for ensuring efficiency and effectiveness of the work and workflow performed by its employees and for ensuring the alignment of such work with its strategic goals. For organizations that are compliant or near-compliant with ISO 9001, this approach involves the detailed mapping of processes, sub-processes, activities, and tasks. ISO30401 is a Management System Standard, introduced in 2018, establishing universal requirements for the set up of a Knowledge Management System in an organization. As "ISO30401 implementers" we regularly face the challenge of explaining our clients how the knowledge development, transformation and conveyances activities depicted in ISO30401 do integrate with existing operational processes. This article recaps process modelling principles in the context of ISO9001 and explores, based on our experience, how an ISO30401-compliant Knowledge Management System (KMS) entwines with all other processes of an Integrated Management System and in particular how it can be implemented by deploying the mechanisms of the SECI model through the steps of PDCA cycles.
    Abstract: Avec l'évolution des approches processus au sein des organisations, l'importance croissante des systèmes de management de la qualité (comme l'ISO 9001) et l'introduction récente de l'ISO 30401 pour le management de la connaissance, nous examinons comment ces différents éléments convergent dans la perspective d'un Système de Management Intégré. L'article démontre notamment comment un système de management des connaissances ISO 30401 peut être mis en œuvre en déployant les mécanismes du modèle SECI au travers des étapes du cycle PDCA tel qu'appliqué dans les processus du système de management intégré.
    Keywords: Knowledge Management System (KMS), Integrated Management System (IMS), Système de Management des connaissances (SKM), ISO 30401, SECI, PDCA, modélisation des processus (BPM), Approche systémique, Knowledge Management System ISO 30401 SECI PDCA Business process modelling Integrated Management System (IMS), Knowledge Management System, Business process modelling
    Date: 2025–06–11
    URL: https://d.repec.org/n?u=RePEc:hal:journl:hal-05170264
  2. By: Patrick Prieur (Ardans SAS - Ardans SAS); Aline Belloni (Ardans SAS - Ardans SAS)
    Abstract: With the evolution of process approaches within organizations, the increasing importance of quality management systems (like ISO 9001) and the recent introduction of ISO 30401 for knowledge management, we examine how these different elements converge within the framework of an Integrated Management System. The article specifically demonstrates how an ISO30401-compliant knowledge management system can be implemented by deploying the mechanisms of the SECI model through the steps of the PDCA cycle as applied in the processes of the integrated management system.
    Abstract: Avec l'évolution des approches processus au sein des organisations, l'importance croissante des systèmes de management de la qualité (comme l'ISO 9001) et l'introduction récente de l'ISO 30401 pour le management de la connaissance, nous examinons comment ces différents éléments convergent dans la perspective d'un Système de Management Intégré. L'article démontre notamment comment un système de management des connaissances ISO 30401 peut être mis en œuvre en déployant les mécanismes du modèle SECI au travers des étapes du cycle PDCA tel qu'appliqué dans les processus du système de management intégré.
    Keywords: Knowledge Management System (KMS), ISO 30401:2018, SECI, PDCA, ISO 9001:2015, Business process modelling, Integrated Management System (IMS)
    Date: 2025–06–30
    URL: https://d.repec.org/n?u=RePEc:hal:journl:hal-05170236
  3. By: Christian William Callaghan
    Abstract: This paper develops a theoretical and formal response to the collapse in the marginal cost of ideation caused by artificial intelligence (AI). In challenging the foundational assumption of knowledge scarcity, the paper argues that the key economic constraint is no longer the generation of ideas, but the alignment of ideation with the recursive structure of human needs. Building on previous work, we further develop Experiential Matrix Theory (EMT), a framework that models innovation as a recursive optimisation process in which alignment, rather than ideation, becomes the binding constraint. Accordingly, we formalise core mechanisms of EMT and apply it to the dynamics of ideation collapse and institutional realignment under AI. Using a series of defensible economic models, we show that in this post-scarcity paradigm, the creation of economic and social value increasingly accrues to roles that guide, interpret, and socially embed ideation, rather than to those that merely generate new ideas. The paper theorises a transition from a knowledge economy to an alignment economy, and derives policy implications for labor hierarchies, subsidy structures, and institutional design. The university, in this context, must invert its function from knowledge transmission to epistemic alignment. The paper concludes by reframing growth not as a function of knowledge accumulation, but of how well society aligns its expanding cognitive capacity with the frontier of experiential human value. This redefinition of the innovation constraint implies a transformation of growth theory, policy design, and institutional purpose in the AI era.
    Date: 2025–07
    URL: https://d.repec.org/n?u=RePEc:arx:papers:2507.07019
  4. By: Hind El Mazyani (Université Mohamed V de rabat-Maroc); Loubna Belmourd (Université Mohamed V de rabat-Maroc); Yousra Bey (Université Mohamed V de rabat-Maroc)
    Abstract: In an era shaped by globalization and digital transformation, organizations must enhance their collective learning capabilities to stay competitive. Organizational learning-now recognized as a critical strategic asset-relies on several factors, among which organizational culture is particularly influential. Culture plays a pivotal role in shaping how knowledge is generated, disseminated, and absorbed within organizations. Depending on its underlying values and norms, it can either foster or impede the dynamics of learning. This study investigates how different organizational culture typologies influence learning processes by integrating two complementary theoretical lenses: dynamic capabilities (Teece et al., 1997) and organizational knowledge creation (Nonaka et al., 2000). Culture is operationalized through the Competing Values Model, which delineates four archetypal profiles-clan, hierarchy, market, and adhocracy. This theoretical and typological synthesis enables the formulation of targeted hypotheses about the distinct effects each cultural profile exerts on organizational learning dynamics.
    Abstract: À l'ère de la mondialisation et de la transformation numérique, les organisations doivent renforcer leurs capacités d'apprentissage collectif pour rester compétitives. L'apprentissage organisationnel — désormais reconnu comme un atout stratégique majeur — repose sur plusieurs facteurs, parmi lesquels la culture organisationnelle occupe une place déterminante. La culture joue un rôle central dans la manière dont les connaissances sont générées, diffusées et assimilées au sein des organisations. Selon les valeurs et normes qui la sous-tendent, elle peut soit favoriser, soit freiner la dynamique d'apprentissage. Cette étude examine comment les différentes typologies de culture organisationnelle influencent les processus d'apprentissage en mobilisant deux cadres théoriques complémentaires : les capacités dynamiques (Teece et al., 1997) et la création de connaissance organisationnelle (Nonaka et al., 2000). La culture est opérationnalisée à travers le modèle des valeurs concurrentes, qui distingue quatre profils culturels types : le clan, la hiérarchie, le marché et l'adhocratie. Cette synthèse théorique et typologique permet de formuler des hypothèses ciblées sur les effets différenciés que chaque profil culturel exerce sur la dynamique d'apprentissage organisationnel.
    Keywords: Organisationskultur, Organisationales Lernen, Clan-Kultur, Marktkultur, Adhocratie-Kultur, Hierarchiekultur, Adhocracy Culture, Hierarchical Culture, Organizational Culture Organizational Learning Clan Culture Market Culture Adhocracy Culture Hierarchical Culture, Cultura organizacional, Aprendizaje organizacional, Cultura de clan, Cultura de mercado, Cultura de adhocracia, Cultura jerárquica, Culture organisationnelle, Apprentissage organisationnel, Culture de clan, Culture de marché, Culture d’adhocratie, Culture hiérarchique, Cultura organizzativa, Apprendimento organizzativo, Cultura del clan, Cultura di mercato, Cultura di adhocrazia, Cultura gerarchica
    Date: 2025
    URL: https://d.repec.org/n?u=RePEc:hal:journl:hal-05171532
  5. By: Noda, Hideo; Fang, Fengqi
    Abstract: In a knowledge-based economy, innovation plays a significant role in determining the level of economic growth and social welfare. Meanwhile, patent protection is a pivotal factor for research and development (R&D) incentives, and innovation performance depends on the degree of patent protection. Therefore, elucidating the mechanism for impact of patent protection on innovation; and hence economic growth is a crucial issue from the perspective of macroeconomic policy. Our research questions are twofold. (1) What conditions are necessary for patent protection to effectively promote innovation and economic growth? (2) Can strengthening patent protection enhance social welfare? This study addresses these problems using an expanding variety model of R&D-based endogenous growth. Our major findings are summarized as follows: If an economy satisfies conditions that the productivity in the final goods sector and labor force population are relatively large, while the patent duration elasticity of patent fee is relatively small, extending the patent duration fosters on the rate of innovation, the growth rate of gross domestic product (GDP) per capita, and the growth rate of livelihood-based public infrastructure. Moreover, strengthening patent protection by extending the duration of the patent right does not necessarily enhance social welfare. Furthermore, the patent duration that maximizes social welfare may be shorter than the patent duration that maximizes the growth rate of GDP per capita, the rate of innovation, or the growth rate of livelihood-based public infrastructure.
    Keywords: Economic growth, Innovation, Patent duration, Patent fee, R\&D, Social welfare
    JEL: E6 O3 O4
    Date: 2025–08–06
    URL: https://d.repec.org/n?u=RePEc:pra:mprapa:125646

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