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Governing Open Data Platforms to Cultivate Innovation Ecosystems: The Case of the Government of Buenos Aires

The Case of the Government of Buenos Aires
Authors: Bonina, Carla; Eaton, Ben; Henningsson, Stefan;

Governing Open Data Platforms to Cultivate Innovation Ecosystems: The Case of the Government of Buenos Aires

Abstract

Open Government Data (OGD) is increasingly an object of research. Whilst referred to as a platform problem, few studies examine the phenomenon using platform concepts. One challenge governments face is to establish thriving OGD ecosystems through appropriate platform governance. The governance of innovating complements on the demand side of platforms, such as services using OGD datasets by entrepreneurs for citizen users, is well studied in platform literature. However, understanding of the supply side and how third parties can be governed to help innovate platform core architecture, such a ministries sourcing quality datasets for OGD platforms, is lacking. In our preliminary study of emergent OGD platforms in Latin America, we construct a model extending concepts of boundary resources from the demand side to the supply side to expand our understanding of platform governance. In addition to contributing to platform governance theories, we improve our understanding of OGD platform ecosystem cultivation.

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Keywords

Open government data platforms, e-government in emerging economies, digital entrepreneurship, platform governance, platform innovation, platform architecture, boundary resources, platform ecosystem cultivation, Platform governance, Platform ecosystem cultivation, Platform architecture, Platform innovation, Boundary resource, Digital entrepreneurship, Open government data platforms, E-government in emerging economies

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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