|
on Knowledge Management and Knowledge Economy |
|
Issue of 2026–02–16
four papers chosen by Laura Nicola-Gavrila, Centrul European de Studii Manageriale în Administrarea Afacerilor |
| By: | Schätzle, Anna; Zöll, Anne; Sammet, Nicklas; Brack, Fabian Gabriel; Scholz, Jonas; Schwarz, Lennart |
| Date: | 2025–12 |
| URL: | https://d.repec.org/n?u=RePEc:dar:wpaper:158957 |
| By: | Carlos Plata (TSM - Toulouse School of Management Research - UT Capitole - Université Toulouse Capitole - Comue de Toulouse - Communauté d'universités et établissements de Toulouse - CNRS - Centre National de la Recherche Scientifique - TSM - Toulouse School of Management - UT Capitole - Université Toulouse Capitole - Comue de Toulouse - Communauté d'universités et établissements de Toulouse) |
| Abstract: | This article explores the complexities of intangible knowledge transfer in university- industry collaborations, offering a comprehensive view of the current landscape and its future direction. Using a bibliometric and systematic literature review of 1496 articles and 20 selected studies, the research identifies key trends and patterns. Despite differences between academic and practical domains, the study finds that informal networking and personal interactions facilitate mutually beneficial partnerships, regardless of industry type, firm size, or academic specialization. The paper highlights the crucial role of intangible knowledge transfer platforms in fostering effective collaborations and advocates for streamlined protocols to enhance knowledge exchange between academia and businesses. Introducing the Unity Index, the paper provides a novel tool to analyze key authors and relationships between variables, offering new insights and opportunities for future research. This study emphasizes the critical importance of intangible knowledge transfer in university-industry relationships, addressing gaps often overlooked in traditional analyses. |
| Keywords: | University-industry collaboration, Knowledge transfer, Intangible knowledge, Bibliometric analysis |
| Date: | 2024–07–25 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-05454253 |
| By: | Giorgio Brunello (University of Padova); Désirée Rückert (European Investment Bank); Christoph T. Weiss (European Investment Bank); Patricia Wruuck (German Federal Ministry of Economic Affairs and Climate Action) |
| Abstract: | Using firm-level data covering 25 EU countries, the UK and the US and a difference-in-differences approach, we show that employers adopting advanced digital technologies reduce their investment in training per employee. Compared to non-adapting firms, this reduction is negligible on impact but increases to -11.3 and -13.8 percent of the pre-treatment mean two and three years after adoption. It can be decomposed into two contrasting effects: the increase in the probability of investing in training and the reduction in investment by firms with positive training. We argue that a candidate reason for the decline in investment in training per employee is that the use of advanced digital technologies and employee training are substitutes in production, implying that an increase in the former negatively affects the marginal productivity of the latter. Our findings point to challenges in realizing high levels of firm-sponsored training for employees in increasingly digital economies. |
| Keywords: | Digital Technologies, Investment in Employee Training. |
| Date: | 2024–12 |
| URL: | https://d.repec.org/n?u=RePEc:pad:wpaper:0315 |
| By: | Siddharth Namachivayam |
| Abstract: | Lewis' account of common knowledge in Convention describes the generation of higher-order expectations between agents as hinging upon agents' inductive standards and a shared witness. This paper attempts to draw from insights in learning theory to provide a formal account of common inductive knowledge and how it can be generated by a witness. Our language has a rather rich syntax in order to capture equally rich notions central to Lewis' account of common knowledge; for instance, we speak of an agent 'having some reason to believe' a proposition and one proposition 'indicating' to an agent that another proposition holds. A similar line of work was pursued by Cubitt & Sugden 2003; however, their account was left wanting for a corresponding semantics. Our syntax affords a novel topological semantics which, following Kelly 1996's approach in The Logic of Reliable Inquiry, takes as primitives agents' information bases. In particular, we endow each agent with a 'switching tolerance' meant to represent their personal inductive standards for learning. Curiously, when all agents are truly inductive learners (not choosing to believe only those propositions which are deductively verified), we show that the set of worlds where a proposition $P$ is common inductive knowledge is invariant of agents' switching tolerances. Contrarily, the question of whether a specific witness $W$ generates common inductive knowledge of $P$ is sensitive to changing agents' switching tolerances. After establishing soundness of our proof system with respect to this semantics, we conclude by applying our logic to solve an 'inductive' variant of the coordinated attack problem. |
| Date: | 2026–02 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2602.06927 |