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Displaying results 1 to 4 of 4.

  1. Tradable parking permits as a transportation demand management strategy
    a behavioural investigation
    Author: Bao, Helen X. H.; Ng, Joelle
    Published: [2021]
    Publisher:  [Department of Land Economy, Environment, Law & Economics, University of Cambridge, Real Estate Research Centre], [Cambridge]

    Access:
    Verlag (kostenfrei)

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    ZSS 53
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Working paper series / Department of Land Economy, Environment, Law & Economics, University of Cambridge, Real Estate Research Centre ; no. 2021, 04
    Subjects: tradable parking permit; congestion; environmental awareness; car ownership; planning; online panel data; crowdsourcing; behavioural economics; prospect theory
    Scope: 1 Online-Ressource (circa 34 Seiten), Illustrationen
  2. Crowdsourcing artificial intelligence in Africa: findings from a machine learning contest
    Author: Naudé, Wim; Bray, Amy; Lee, Celina
    Published: July 2021
    Publisher:  IZA - Institute of Labor Economics, Bonn, Germany

    In this paper, we study the crowdsourcing of innovation in Africa through a data science contest on an intermediated digital platform. We ran a Machine Learning (ML) contest on the continent's largest data science contest platform, Zindi. Contestants... more

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    Verlag (kostenfrei)
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    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    DS 4
    Inter-library loan:
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    In this paper, we study the crowdsourcing of innovation in Africa through a data science contest on an intermediated digital platform. We ran a Machine Learning (ML) contest on the continent's largest data science contest platform, Zindi. Contestants were surveyed on their motivations to take part and their perceptions about AI in Africa. In total, 614 contestants submitted 15,832 entries, and 559 responded to the accompanying survey. From the findings, we answered several questions: who take part in these contests and why? Who is most likely to win? What are contestants' entrepreneurial aspirations in deploying AI? What are the obstacles they perceive to the greater diffusion of AI in Africa? We conclude that crowdsourcing of AI via data contest platforms offers a potential mechanism to alleviate some of the constraints in the adoption and diffusion of AI in Africa. Recommendations for further research are made.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/245596
    Series: Discussion paper series / IZA ; no. 14545
    Subjects: crowdsourcing; innovation; data science; artificial intelligence; Africa
    Scope: 1 Online-Ressource (circa 48 Seiten), Illustrationen
  3. Lock-in effects in online labor markets
    Author: Ciotti, Fabrizio; Hornuf, Lars; Stenzhorn, Eliza
    Published: October 2021
    Publisher:  CESifo, Center for Economic Studies & Ifo Institute, Munich, Germany

    This article reports on an investigation of the role of lock-in exploitation and the impact of reputation portability on workers’ switching behaviors in online labor markets. Online platforms using reputation mechanisms typically prevent users from... more

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    Verlag (kostenfrei)
    Verlag (kostenfrei)
    Resolving-System (kostenfrei)

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    DS 63
    Inter-library loan:
    No inter-library loan

     

    This article reports on an investigation of the role of lock-in exploitation and the impact of reputation portability on workers’ switching behaviors in online labor markets. Online platforms using reputation mechanisms typically prevent users from transferring their ratings to other platforms, inducing lock-in effects and high switching costs and leaving users vulnerable to platform exploitation. With a theoretical model, in which workers in online labor markets are locked-in by their reputational data, we test the effects using an online lab-in-the-field decision experiment. In addition to comparing a policy regime with and without reputation portability, we vary lock-in exploitation using platform fees to consider how switching behavior might differ according to monetary motives and fairness preferences. Theoretically, this study reveals how reputational investments can produce switching costs that platforms can exploit. Experimentally, the results suggest that reputation portability mitigates lock-in effects, making users less susceptible to lock-in exploitation. The data further show that switching is driven primarily by monetary motives, but perceiving the fee as unfair also has a significant role.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/248924
    Series: CESifo working paper ; no. 9379 (2021)
    Subjects: crowdsourcing; online markets; online labor; reputation portability; switching costs
    Scope: 1 Online-Ressource (circa 47 Seiten), Illustrationen
  4. Lock-in effects in online labor markets
    Author: Ciotti, Fabrizio; Hornuf, Lars; Stenzhorn, Eliza
    Published: [2021]
    Publisher:  CORE, Louvain-la-Neuve

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

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    VS 203
    Inter-library loan:
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    Export to reference management software   RIS file
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 2078.1/253058
    Series: LIDAM discussion paper CORE ; 2021, 14
    Subjects: crowdsourcing; online markets; online labor; reputation portability; switching costs
    Scope: 1 Online-Ressource (circa 47 Seiten), Illustrationen