Empreu aquest identificador per citar o enllaçar aquest ítem: http://hdl.handle.net/10609/147744
Títol: Economic and regulatory analysis of data platforms and value creation models of the on demand economy
Autoria: LUCARELLI, Stefano  
Musolino, Elena
Rocchi, Giulia  
Ciacciarelli, Sophie
Laniado, David  
Espelt, Ricard  
Fuster Morell, Mayo  
Senabre Hidalgo, Enric  
Bria, Francesca
Altres: Universitat Oberta de Catalunya (UOC)
Centre national de la recherche scientifique (CNRS)
Institut Municipal d'Informàtica (IMI)
Resum: The DECODE deliverable "Economic and regulatory analysis of data platforms and value creation models of the on demand economy" presents two main aims: (i) Proposing an analysis of regulatory models for data platforms; (ii) Clarifying the logic of value creation that characterises the so-called on-demand economy, by analysing four case studies of dominant platforms. Both the objectives are necessary to develop T2.2 ( Data-driven disruptive and commons based economic models") within the WP2 ("Decentralised Governance and Economic framework: Commons data platforms for digital sovereignty"). This deliverable analyses the dominant data-driven economic models, and clarifies the boundaries between the major data driven platforms and the so called on-demand platform economy, then it defines the different areas affected by currently existing regulatory models. This analytical work is essential to be able to propose in our future work economic, regulatory, and technical alternatives to the dominant, centralised and monopolistic economic models of data-driven platforms, which exploit network effects and capture rent from network externalities, thus hindering innovation and eroding citizens’ digital sovereignty (D 2.4).
Paraules clau: anàlisi reguladora
economia de plataformes
economia sota demanda
Tipus de document: info:eu-repo/semantics/report
Data de publicació: 30-des-2017
Llicència de publicació: http://creativecommons.org/licenses/by-nc-sa/3.0/es/  
Apareix a les col·leccions:Trabajos de investigación

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