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on Knowledge Management and Knowledge Economy |
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Issue of 2025–04–21
three papers chosen by Laura Nicola-Gavrila, Centrul European de Studii Manageriale în Administrarea Afacerilor |
| By: | Siddharth, L. |
| Abstract: | Technological evolution depends not only on the invention of new artefacts but also on how their knowledge is structured, represented, and propagated. In this study, we examine how the modularity of artefact knowledge influences technological impact. We utilize a dataset of 33, 803 patents from the United States Patent & Trademark Office (USPTO) and their knowledge graphs constructed using the facts extracted from patent descriptions. Using a regression analysis controlling for several structural properties of the knowledge graphs, we establish a significant positive relationship between modularity of the graph structures—measured using the Louvain method and the technological impact, as quantified by normalized forward citations. To further examine this relationship, we develop a predictive framework integrating Graph Neural Networks (GNNs) and regression models to estimate normalized citation scores from patent knowledge graphs. We then apply this framework to conduct a counterfactual analysis, wherein, we tune the modularity of knowledge graphs and assess the enhancement in expected citations. The analysis reveals that patents with less or no citations could benefit the most from modularization of their knowledge, as a citation gain could help initiate their knowledge propagation. We also discuss with a few examples as to how re-representation of artefact knowledge is necessary in addition to re-designing artefacts for modularity. |
| Date: | 2025–03–24 |
| URL: | https://d.repec.org/n?u=RePEc:osf:osfxxx:fd36m_v1 |
| By: | Colin Davis; Ken-ichi Hashimoto |
| Abstract: | This paper investigates how the cash-in-advance (CIA) constraints that firms face in production and innovation decisions affect the long-run relationship between monetary policy and innovation-based economic growth. Firms produce differentiated product varieties and invest in process innovation to reduce production costs. With imperfect knowledge diffusion across countries, the country with the greater share of industry has relatively productive firms. We find that when innovation has a stricter CIA requirement than production, an increase in the nominal interest rate in the country with the larger (smaller) share of industry reduces the industrial share of that country, thereby decreasing (increasing) the rate of productivity growth. We also examine the implications of improvements in knowledge diffusion for the optimal nominal interest rate policy of each country. |
| Date: | 2025–03 |
| URL: | https://d.repec.org/n?u=RePEc:dpr:wpaper:1278 |
| By: | Andrea Chiavari; Sampreet Singh Goraya |
| Abstract: | We document a technological change in production technology biased towards intangible capital, such as computerized information and software, over other inputs in the last three decades. This has led to higher investment adjustment costs for firms. A general equilibrium firm dynamics model suggests that this can result in (i) increased firm size and concentration, (ii) changes in aggregate factor shares, and (iii) rise in dispersion of total factor productivity revenue coupled with declining aggregate productivity. This paper provides an alternative mechanism behind these macroeconomic changes in the US economy, emphasizing the efficient response of firms to changes in production technology. |
| Date: | 2025–04–08 |
| URL: | https://d.repec.org/n?u=RePEc:oxf:wpaper:1078 |