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  • Search: subject:"data-driven network"
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Year of publication
Subject
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Data-driven network effects 1 Diversification 1 Diversifikation 1 Ganzzahlige Optimierung 1 Hedging 1 Integer programming 1 Mathematical programming 1 Mathematische Optimierung 1 Network 1 Netzwerk 1 Portfolio selection 1 Portfolio-Management 1 Progressive Hedging 1 Stochastic Mixed Integer Program (SMIP) 1 Stochastic process 1 Stochastischer Prozess 1 Theorie 1 Theory 1 algorithmic learning 1 data sharing 1 data siloing 1 data-driven network 1 decomposition 1 regulation 1 uncertainty 1
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Online availability
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Free 1 Undetermined 1
Type of publication
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Article 1 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1 Conference Paper 1
Language
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English 2
Author
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Hofmann, Janina 1 Krämer, Jan 1 Kwon, Roy H. 1 Shekhar, Shiva 1 Wu, Desheng 1 Wu, Dexiang 1
Published in...
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31st European Conference of the International Telecommunications Society (ITS): "Reining in Digital Platforms? Challenging monopolies, promoting competition and developing regulatory regimes", Gothenburg, Sweden, 20th - 21st June 2022 1 International journal of production research 1
Source
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ECONIS (ZBW) 1 EconStor 1
Showing 1 - 2 of 2
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Regulating Algorithmic Learning in Digital Platform Ecosystems through Data Sharing and Data Siloing: Consequences for Innovation and Welfare
Krämer, Jan; Shekhar, Shiva; Hofmann, Janina - 2022
Algorithmic learning gives rise to a data-driven network effects, which allow a dominant platform to reinforce its … dominant market position. Data-driven network effects can also spill over to related markets and thereby allow to leverage a …-driven platforms in order to keep digital markets open and contestable. While data siloing seeks to prevent the spillover of data-driven …
Persistent link: https://www.econbiz.de/10013420996
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Cover Image
Optimising data-driven network under limited resource : a partial diversification approach
Wu, Dexiang; Wu, Desheng; Kwon, Roy H. - In: International journal of production research 57 (2019) 21, pp. 6875-6892
Persistent link: https://www.econbiz.de/10012193767
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