nep-knm New Economics Papers
on Knowledge Management and Knowledge Economy
Issue of 2019‒09‒09
three papers chosen by
Laura Ştefănescu
Centrul European de Studii Manageriale în Administrarea Afacerilor

  1. Sabrina: Modeling and Visualization of Economy Data with Incremental Domain Knowledge By Alessio Arleo; Christos Tsigkanos; Chao Jia; Roger A. Leite; Ilir Murturi; Manfred Klaffenboeck; Schahram Dustdar; Michael Wimmer; Silvia Miksch; Johannes Sorger
  2. International knowledge flows between industry inventors and universities: The role of multinational companies By Fassio, Claudio; Geuna, Aldo; Rossi, Federica
  3. Nurturing knowledge? The impact of funding and family on scientific performance. By Lawson, Cornelia; Geuna, Aldo; Finardi, Ugo

  1. By: Alessio Arleo; Christos Tsigkanos; Chao Jia; Roger A. Leite; Ilir Murturi; Manfred Klaffenboeck; Schahram Dustdar; Michael Wimmer; Silvia Miksch; Johannes Sorger
    Abstract: Investment planning requires knowledge of the financial landscape on a large scale, both in terms of geo-spatial and industry sector distribution. There is plenty of data available, but it is scattered across heterogeneous sources (newspapers, open data, etc.), which makes it difficult for financial analysts to understand the big picture. In this paper, we present Sabrina, a financial data analysis and visualization approach that incorporates a pipeline for the generation of firm-to-firm financial transaction networks. The pipeline is capable of fusing the ground truth on individual firms in a region with (incremental) domain knowledge on general macroscopic aspects of the economy. Sabrina unites these heterogeneous data sources within a uniform visual interface that enables the visual analysis process. In a user study with three domain experts, we illustrate the usefulness of Sabrina, which eases their analysis process.
    Date: 2019–08
    URL: http://d.repec.org/n?u=RePEc:arx:papers:1908.07479&r=all
  2. By: Fassio, Claudio; Geuna, Aldo; Rossi, Federica (University of Turin)
    Abstract: We investigate the determinants of industry researchers’ interactions with universities in different localities, distinguishing between local and international universities. We analyze the extent to which local and international interactions are enabled by different types of individual personal networks (education, career based), and by their access to different business networks through their employer companies (local vs. domestic or international multinational company networks). We control for selection bias and numerous other individual and firm-level factors identified in the literature as important determinants of interaction with universities. Our findings suggest that industry researchers’ personal networks play a greater role in promoting interactions with local universities (i.e. in the same region, and other regions in the same country) while researcher employment in a multinational is especially important for establishing interaction with universities abroad.
    Date: 2019–07
    URL: http://d.repec.org/n?u=RePEc:uto:dipeco:201917&r=all
  3. By: Lawson, Cornelia; Geuna, Aldo; Finardi, Ugo (University of Turin)
    Abstract: This paper contributes to the literature on the individual and institutional factors explaining academic scientific productivity. On the basis of very detailed information for a sample of 262 academics at the University of Turin over a ten year period, we develop a robust new model to assess the impact of funding on productivity, controlling for gender and family related characteristics less frequently examined in the literature. Using a Two-Stage Least Square (2SLS) model in which we control for endogeneity of career progress and instrument national competitive funding with socio-political capital measure, we find that funding is no longer associated to higher research productivity. In the impact-quality estimation models, we find a “fatherhood bonus” and a “motherhood penalty” for having young children. In robustness checks we provide evidence of a causal effect of the latter, although it is possible that men have children once they are established on a high performance path. As in the previous literature, we find that after controlling for children, female researchers are less productive in terms of publications, but not in terms of research quality/impact.
    Date: 2019–06
    URL: http://d.repec.org/n?u=RePEc:uto:dipeco:201913&r=all

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