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on Knowledge Management and Knowledge Economy |
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Issue of 2024‒09‒16
three papers chosen by Laura Nicola-Gavrila, Centrul European de Studii Manageriale în Administrarea Afacerilor |
| By: | Saïd Balhadj (ENCGT - Ecole Nationale de Commerce et de Gestion de Tanger - UAE - Abdelmalek Essaadi University [Tétouan] = Université Abdelmalek Essaadi [Tétouan]); Maryam EL MOUDDEN (ENCGT - Ecole Nationale de Commerce et de Gestion de Tanger - UAE - Abdelmalek Essaadi University [Tétouan] = Université Abdelmalek Essaadi [Tétouan]) |
| Keywords: | innovation organisationnelle l'avantage compétitif performance organisationnelle PME exportatrice marocaine Classification JEL : O31 Organizational innovation competitive advantage organizational performance Moroccan-exporting SMEs JEL Classification: O31 Paper type: Empirical research, innovation organisationnelle, l'avantage compétitif, performance organisationnelle, PME exportatrice marocaine, competitive advantage, organizational performance, Moroccan-exporting SMEs |
| Date: | 2022–09–30 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-04653608 |
| 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:zur:econwp:449 |
| By: | D’Alessandro, Francesco (Università Cattolica del Sacro Cuore); Santarelli, Enrico (University of Bologna); Vivarelli, Marco (Università Cattolica del Sacro Cuore) |
| Abstract: | In this paper we integrate the insights of the Knowledge Spillover Theory of Entrepreneurship and Innovation (KSTE+I) with Schumpeter's idea that innovative entrepreneurs creatively apply available local knowledge, possibly mediated by Marshallian, Jacobian and Porter spillovers. In more detail, in this study we assess the degree of pervasiveness and the level of opportunities brought about by AI technologies by testing the possible correlation between the regional AI knowledge stock and the number of new innovative ventures (that is startups patenting in any technological field in the year of their foundation). Empirically, by focusing on 287 Nuts-2 European regions, we test whether the local AI stock of knowledge exerts an enabling role in fostering innovative entry within AI-related local industries (AI technologies as focused enablers) and within non AI-related local industries, as well (AI technologies as generalised enablers). Results from Negative Binomial fixed-effect and Poisson fixed-effect regressions (controlled for a variety of concurrent drivers of entrepreneurship) reveal that the local AI knowledge stock does promote the spread of innovative startups, so supporting both the KSTE+I approach and the enabling role of AI technologies; however, this relationship is confirmed only with regard to the sole high-tech/AI-related industries. |
| Keywords: | KSTE+I, Artificial Intelligence, innovative entry, enabling technologies |
| JEL: | O33 L26 |
| Date: | 2024–08 |
| URL: | https://d.repec.org/n?u=RePEc:iza:izadps:dp17206 |