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on Knowledge Management and Knowledge Economy |
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Issue of 2025–05–26
five papers chosen by Laura Nicola-Gavrila, Centrul European de Studii Manageriale în Administrarea Afacerilor |
| By: | James, William |
| Abstract: | Economic historians have acknowledged the importance of the accumulation of craft knowledge and the incremental innovations that it helped to induce in turning Europe from a technological backwater in the thirteenth century to the most technologically advanced part of the world by 1750. Yet though artisanal manufacturing was largely an urban phenomenon in the early modern period, there has not been extensive historiographical focus specifically on how different urban dynamics shaped the production and circulation of craft knowledge. Additionally, those that do explore artisanal knowledge within the urban context often do so through the lens of agglomeration theory which presents a highly generalised understanding of the impact of cities. This critical review brings together the literatures from urban history and the history of science and technology with the intention of developing a more nuanced understanding that emphasises idiosyncrasy and heterogeneity rather than generality in the ways that European cities shaped artisanal knowledge. |
| JEL: | N63 |
| Date: | 2024–12 |
| URL: | https://d.repec.org/n?u=RePEc:ehl:lserod:127149 |
| By: | Ambedkar Dukkipati; Kawin Mayilvaghanan; Naveen Kumar Pallekonda; Sai Prakash Hadnoor; Ranga Shaarad Ayyagari |
| Abstract: | Fluctuations in stock prices are influenced by a complex interplay of factors that go beyond mere historical data. These factors, themselves influenced by external forces, encompass inter-stock dynamics, broader economic factors, various government policy decisions, outbreaks of wars, etc. Furthermore, all of these factors are dynamic and exhibit changes over time. In this paper, for the first time, we tackle the forecasting problem under external influence by proposing learning mechanisms that not only learn from historical trends but also incorporate external knowledge from temporal knowledge graphs. Since there are no such datasets or temporal knowledge graphs available, we study this problem with stock market data, and we construct comprehensive temporal knowledge graph datasets. In our proposed approach, we model relations on external temporal knowledge graphs as events of a Hawkes process on graphs. With extensive experiments, we show that learned dynamic representations effectively rank stocks based on returns across multiple holding periods, outperforming related baselines on relevant metrics. |
| Date: | 2025–04 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2504.20058 |
| By: | Andrea Borsato; Patrick Llerena |
| Abstract: | Contributing to the fast-growing Economics of Artificial Intelligence (AI), this paper examines the close relationship between university and industry for what concerns to the research and development of AI technologies in the USA. Recalling the history of the university-industry relationships in the several phases of the US national system of innovation (NSI), we argue that current collaborations resemble in some respects what happened during the prewar NSI. Yet, the AI R&D presents some peculiarities. Universities are changing their positioning in the innovation process and turning to a research-based training model in the domains concerned by AI. This could potentially change the trajectory of university-industry links, since it is very much in line with the typical Humboldtian perspective that was at work in some European institutes in XVIII century up to US early XX century. At the same time, if the way in which the production of knowledge and the training of the workforce envisages a return to the origins, differences arise in the definition of the main goals, e.g., Sustainable Development Goals, and in the role of stakeholders. The overall discussion also bears some implications for the link between division of knowledge and division of labour. |
| Keywords: | Artificial Intelligence, AI research, University-industry relationship, US national innovation system. |
| JEL: | I2 L2 O31 O33 |
| Date: | 2024 |
| URL: | https://d.repec.org/n?u=RePEc:ulp:sbbeta:2024-46 |
| By: | Hassid, Joseph; Maniatis, George; Polemis, Michael |
| Abstract: | We explore the value that lawyers in Greece attribute to knowledge of economics and business methods, both in terms of the legal fields where this knowledge is most useful and the specific areas of economics and business expertise that support their professional practice. Our findings, based on a survey of Greek law professionals conducted within the LAPET research project, indicate the broader relevance of economics and business methods across various legal fields. We find that lawyers should mainly possess knowledge in Economics for Business, The Functioning of Markets, and Economics of Competition / Antitrust, as these areas of economic expertise along with knowledge of Law Office Organization, are deemed the most useful for lawyers in their professional activities. Additionally, prior advanced education and professional roles significantly influence perceptions of the usefulness of economics and business methods knowledge. Lawyers with advanced economic education tend to recognize the value of economic knowledge more broadly across all areas. Similarly, business legal advisors perceive economic knowledge as beneficial, whereas self-employed legal practitioners tend to assign slightly lower importance to economic knowledge. Finally, legal specialization was found to be a key factor in shaping the perceived usefulness across different areas of economic and business knowledge. These findings provide valuable insights primarily for law students and early-career lawyers regarding the economics and business methods subjects they should focus on in their education and additional training. They also offer guidance on curriculum development by law schools, which they should consider integrating courses in applied economics and business methods to better equip future lawyers with the necessary skills for the modern legal landscape. |
| Keywords: | Law and economics; Legal education; Interdisciplinarity |
| JEL: | A20 C20 K0 |
| Date: | 2025–04–25 |
| URL: | https://d.repec.org/n?u=RePEc:pra:mprapa:124590 |
| By: | Ku, Hyejin (University College London); Mu, Tianrui (University College London) |
| Abstract: | This paper examines how China’s growing research capabilities impact global research universities across scientific fields. Using bibliometric data from 1980 to 2020, we assess the effects of the “China shock” on high-impact publications, novel concepts, and citation patterns. Our analysis reveals a positive net effect in Chemistry and Engineering & Materials Science (EMS), but a negative effect in Clinical & Life Sciences (CLS). In other fields, the effects are mostly positive but imprecise. We highlight the coexistence of competition and spillover effects, with their relative strength shaped by field characteristics, such as expansion potential and the quality of China’s research. |
| Keywords: | ideas, knowledge production, China shock in science, competition, spillovers |
| JEL: | J24 I23 O31 |
| Date: | 2025–04 |
| URL: | https://d.repec.org/n?u=RePEc:iza:izadps:dp17866 |