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  1. Productivity spillovers among knowledge workers in agglomerations
    evidence from GitHub
    Autor*in: El-Komboz, Lena Abou; Fackler, Thomas
    Erschienen: [2023]
    Verlag:  Collaborative Research Center Transregio 190, [München]

    Software engineering is a field with strong geographic concentration, with Silicon Valley as the epitome of a tech cluster. Yet, most studies on the productivity effects of agglomerations measure innovation with patent data, thus capturing only a... mehr

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    Resolving-System (kostenfrei)

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 553
    Fernleihe:
    keine Fernleihe

     

    Software engineering is a field with strong geographic concentration, with Silicon Valley as the epitome of a tech cluster. Yet, most studies on the productivity effects of agglomerations measure innovation with patent data, thus capturing only a fraction of the industry's activity. With data from the open source platform GitHub, our study contributes an alternative proxy for productivity, complementing the literature by covering a broad range of software engineering. With user activity data covering the years 2015 to 2021, we relate cluster size to an individual's productivity. Our findings suggest that physical proximity to a large number of other knowledge workers in the same field leads to spillovers, increasing productivity considerably. In further analyses, we confirm the causal relationship with an IV approach and study heterogeneities by cluster size, initial productivity and project characteristics.

     
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/282091
    Schriftenreihe: Discussion paper / Rationality & Competition, CRC TRR 190 ; no. 399 (May 26, 2023)
    Schlagworte: agglomeration effects; knowledge spillovers; open source; online collaboration
    Umfang: 1 Online-Ressource (circa 41 Seiten), Illustrationen
  2. Defying gravity
    what drives productivity in remote teams?
    Autor*in: Fackler, Thomas; Hofmann, Michael; Laurentsyeva, Nadzeya
    Erschienen: [2023]
    Verlag:  [Collaborative Research Center Transregio 190], [München]

    How can teams organize for productive online collaboration? The coronavirus pandemic has led to a large and persistent shift toward remote work. Using fine-grained data from the world's largest platform for open-source software development, we find... mehr

    Zugang:
    Verlag (kostenfrei)
    Resolving-System (kostenfrei)

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 553
    Fernleihe:
    keine Fernleihe

     

    How can teams organize for productive online collaboration? The coronavirus pandemic has led to a large and persistent shift toward remote work. Using fine-grained data from the world's largest platform for open-source software development, we find that the pandemic reduced the productivity of previously co-located teams substantially, whereas similar teams with remote work experience remained resilient. While access to remote talent and experience are important for overall team success, our results highlight the crucial role of communication for productive online collaboration. We find suggestive evidence that, with their peers shifting to online work, remote workers become better integrated into their teams' communication. We conclude that while teams' performance may suffer from the shift to remote work, setting up systems for effective online communication can help mitigate productivity loss.

     
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/282119
    Schriftenreihe: [Discussion paper] / [Rationality & Competition, CRC TRR 190] ; [no. 427 (September 19, 2023)]
    Schlagworte: gravity model; open source; knowledge workers; knowledge flows; remote work; online labor markets; COVID-19
    Umfang: 1 Online-Ressource (circa 62 Seiten), Illustrationen