|
on Knowledge Management and Knowledge Economy |
Issue of 2020‒09‒28
three papers chosen by Laura Ştefănescu Centrul European de Studii Manageriale în Administrarea Afacerilor |
By: | Mori, Tomoya; Sakaguchi, Shosei |
Abstract: | In this paper, we quantitatively characterize the mechanism of collaborative knowledge creation at the individual researcher level a la Berliant and Fujita(2008) by using Japanese patent data. The key driver for developing new ideas is found to be the exchange of differentiated knowledge among collaborators. To stay creative, inventors seek opportunities to shift their technological expertise to unexplored niches by utilizing the differentiated knowledge of new collaborators in addition to their own stock of knowledge. In particular, while collaborators' differentiated knowledge raises all the average cited count, average (technological) novelty and the quantity of patents for which an inventor contributes to the development, it has the largest impact on the average novelty among the three. |
Keywords: | Knowledge creation, Collaboration, Differentiated knowledge, Technological novelty, Technological shift, Recombination, Patents, Network, Strategic interactions |
JEL: | C33 C36 D83 D85 O31 R11 |
Date: | 2018–08–29 |
URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:102616&r=all |
By: | Leonie Koch; Martin Simmler |
Abstract: | This paper analyzes the magnitude of local knowledge spillovers of public R&D in Germany and its determinants using patent application data. We identify three distinct transmission channels. First, firms file more patent applications when collaborating with (local) public institutions. Second, arms file more patent applications when citing a public patent. Third, local public R&D seems to increase the number of patent applications by local firms also via nonspecific knowledge spillovers. Using a fixed effect instrumental variable regression approach, we find evidence for substantial local spillovers and that these are driven by non-specific knowledge spillovers. |
Date: | 2020 |
URL: | http://d.repec.org/n?u=RePEc:ces:econwp:_42&r=all |
By: | Thomas Astebro; Serguey Braguinsky; Yuheng Ding |
Abstract: | We document that since 1997, the rate of startup formation has precipitously declined for firms operated by U.S. PhD recipients in science and engineering. These are supposedly the source of some of our best new technological and business opportunities. We link this to an increasing burden of knowledge by documenting a long-term earnings decline by founders, especially less experienced founders, greater work complexity in R&D, and more administrative work. The results suggest that established firms are better positioned to cope with the increasing burden of knowledge, in particular through the design of knowledge hierarchies, explaining why new firm entry has declined for high-tech, high-opportunity startups. |
JEL: | J24 J3 O3 |
Date: | 2020–09 |
URL: | http://d.repec.org/n?u=RePEc:nbr:nberwo:27787&r=all |