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on Knowledge Management and Knowledge Economy |
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Issue of 2024‒10‒21
four papers chosen by Laura Nicola-Gavrila, Centrul European de Studii Manageriale în Administrarea Afacerilor |
| By: | Grimaud, André; Gray, Elie |
| Abstract: | We formalize inter-sectoral knowledge diffusion in a standard fully endogenous Schumpeterian growth model. Each sector is simultaneously sending and receiving knowledge; thereby, to produce new knowledge, the research and development activity of each sector draws from a pool of knowledge which stems from this diffusion. This enables us to revisit the scale effects issue by revealing how this property (inconsistent with empirical evidence) relates with knowledge diffusion (the importance of which is empirically highlighted). We show that suppressing knowledge diffusion across sectors is a sufficient but not necessary condition for obtaining scale-invariancy. Then, we identify several sets of assumptions which enable us to obtain models which are reasonably consistent with empirical evidence both on scale effects and how knowledge diffuses in the economy. Specifically, these models do not exhibit scale effects (or at least not significant ones) while considering various scope of knowledge diffusion (including possible occurrence of general-purpose technologies). |
| Keywords: | Schumpeterian growth theory, Scale effects, Knowledge diffusion, Knowledge; spillovers, Non rivalry, echnological distance |
| JEL: | O30 O31 O33 O40 O41 |
| Date: | 2024–09–20 |
| URL: | https://d.repec.org/n?u=RePEc:tse:wpaper:129742 |
| By: | Jean-Michel Benkert, Shuo Liu, Nick Netzer |
| Abstract: | Response times contain information about economically relevant but unobserved variables like willingness to pay, preference intensity, quality, or happiness. Here, we provide a general characterization of the properties of latent variables that can be detected using response time data. Our characterization generalizes various results in the literature, helps to solve identification problems of binary response models, and paves the way for many new applications. We apply the result to test the hypothesis that marginal happiness is decreasing in income, a principle that is commonly accepted but so far not established empirically. |
| Keywords: | response times, chronometric effect, binary response model, non-parametric identification, decreasing marginal happiness |
| JEL: | C14 D60 D91 I31 |
| Date: | 2024–08 |
| URL: | https://d.repec.org/n?u=RePEc:ube:dpvwib:dp2407 |
| By: | Bartelsman, Eric (Vrije Universiteit Amsterdam); Dobbelaere, Sabien (Vrije Universiteit Amsterdam); Mattioli, Alessandro Zona (Vrije Universiteit Amsterdam) |
| Abstract: | This paper provides evidence from a natural experiment on the importance of workers' tacit knowledge about firms' intangible assets for competition in product and labor markets. Evidence is presented on product and labor market imperfections across manufacturing and services firms in the Netherlands. Price-cost markups and wage markups are both shown to be positively related to intangible intensity at the firm level. A model is developed of the processes of intangible investment and wage bargaining of heterogeneous firms, providing a mechanism that relates workers' tacit knowledge to firm-level product and labor market imperfections. The model also incorporates a role for non-compete agreements (NCAs) limiting worker mobility. Our main empirical contribution comes from using linked employer-employee panel data with information on NCAs and changes in enforceability of these agreements. Using an event-study framework, we demonstrate that the removal of NCAs leads to higher wages and worker mobility, especially for workers in intangible-intensive firms. We find that NCAs affect workers across the skill distribution. The causal findings from changes in the legality of NCAs correspond with the mechanism described in the model. |
| Keywords: | price-cost markups, rent sharing, technology, tacit knowledge, non-compete agreements |
| JEL: | J41 L10 M52 |
| Date: | 2024–08 |
| URL: | https://d.repec.org/n?u=RePEc:iza:izadps:dp17260 |
| By: | Ogbo-Gebhardt, Erezi |
| Abstract: | Perhaps due to the growing array of digital inclusion programs that are increasingly offered by community organizations, states are examining ways to help their residents search – and determine their eligibility – for programs within their communities. To this end, several states are conducting digital asset mapping and plan to build a publicly accessible repository of these assets. However, there is a risk that the platform will be built yet acceptance and use will be low. This paper discusses the case of North Carolina and presents emergent themes from local community-based organizations on current knowledge sharing practices in digital inclusion ecosystems within communities and insights on key factors to encourage adoption and use of the digital asset inventory platform. |
| Keywords: | Community Informatics, Digital Inclusion, Asset Mapping, Participatory Research, Knowledge Sharing |
| Date: | 2024 |
| URL: | https://d.repec.org/n?u=RePEc:zbw:itsb24:302533 |