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Displaying results 1 to 3 of 3.

  1. Labour and technology at the time of Covid-19
    can artificial intelligence mitigate the need for proximity?
    Author: Carbonero, Francesco; Scicchitano, Sergio
    Published: 2021
    Publisher:  Global Labor Organization (GLO), Essen

    Social distancing has become worldwide the key public policy to be implemented during the COVID-19 epidemic and reducing the degree of proximity among workers turned out to be an important dimension. An emerging literature looks at the role of... more

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    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    DS 565
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    Social distancing has become worldwide the key public policy to be implemented during the COVID-19 epidemic and reducing the degree of proximity among workers turned out to be an important dimension. An emerging literature looks at the role of automation in supporting the work of humans but the potential of Artificial Intelligence (AI) to influence the need for physical proximity on the workplace has been left largely unexplored. By using a unique and innovative dataset that combines data on advancements of AI at the occupational level with information on the required proximity in the job-place and administrative employer-employee data on job flows, our results show that AI and proximity stand in an inverse U-shape relationship at the sectoral level, with high advancements in AI that are negatively associated with proximity. We detect this pattern among sectors that were closed due to the lockdown measures as well as among sectors that remained open. We argue that, apart from the expected gains in productivity and competitiveness, preserving jobs and economic activities in a situation of high contagion may be the additional benefits of a policy favouring digitization.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/228711
    Series: GLO discussion paper ; no. 765
    Subjects: artificial intelligence; automation; covid19; proximity
    Scope: 1 Online-Ressource (circa 26 Seiten), Illustrationen
  2. The strength of weak and strong ties in bridging geographic and cognitive distances
    Author: Abbasiharofteh, Milad; Kinne, Jan; Krüger, Miriam
    Published: 2021
    Publisher:  ZEW - Leibniz-Zentrum für Europäische Wirtschaftsforschung GmbH Mannheim, Mannheim, Germany

    The proximity framework has attracted considerable attention in a scholarly discourse on the driving forces of knowledge exchange tie formation. It has been discussed that too much proximity is negatively associated with the effectiveness of a... more

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    Verlag (kostenfrei)
    Verlag (kostenfrei)
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    Location:
    Helmut-Schmidt-Universität, Universität der Bundeswehr Hamburg, Universitätsbibliothek
    Inter-library loan:
    No inter-library loan

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    DS 15
    Inter-library loan:
    No inter-library loan

    Location:
    Universitätsbibliothek Mannheim
    Inter-library loan:
    No inter-library loan

     

    The proximity framework has attracted considerable attention in a scholarly discourse on the driving forces of knowledge exchange tie formation. It has been discussed that too much proximity is negatively associated with the effectiveness of a knowledge exchange relation. However, little is known about the key factors that trigger the formation of the boundaryspanning knowledge ties. Going beyond the "dyadic" perspective on proximity dimensions, this paper argues that the key factor in bridging distances may reside at the "triadic" level. We build on the notion of "the strength of weak ties" and its recent development by investigating the innovative performance and relations of more than 600,000 German firms. We explored and extracted information from the textual and relational content of firms' websites by using machine learning techniques and hyperlink analysis. We thereby proxied the innovative performance of firms using a deep learning text analysis approach and showed that the triadic property of bridging dyadic relations is a reliable predictor of firms' innovativeness. Relations embedded in cliques (i.e., strong ties) that connect cognitively distant firms are more strongly associated with firms' innovation, whereas inter-regional relations connecting different parts of a network (i.e., weak ties) are positively associated with firms' innovative performance. Also, the results suggest that a combination of strong inter-community and weak inter-regional relations are more positively related with firms' innovativeness compared to the combination of other relation types.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/234984
    Series: Discussion paper / ZEW ; no. 21, 049 (06/2021)
    Subjects: weak and strong ties; proximity; knowledge exchange; innovation; web mining; natural language processing
    Scope: 1 Online-Ressource (42 Seiten), Illustrationen
  3. "Casi" y el significado aproximativo en español
    Propuesta teórica y estudios de caso
    Author: Pardo Llibrer, Adrià
    Published: 2021
    Publisher:  Peter Lang Verlag, Berlin

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