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Displaying results 1 to 6 of 6.

  1. Optimal commissions and subscriptions in networked markets
    Published: [2018]
    Publisher:  [Stanford Graduate School of Business], [Stanford, CA]

    We consider a platform that charges commission rates and subscription fees to sellers and buyers for facilitating transactions but does not directly control the transaction prices, which are determined by the traders. Buyers and sellers are divided... more

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    Helmut-Schmidt-Universität, Universität der Bundeswehr Hamburg, Universitätsbibliothek
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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    We consider a platform that charges commission rates and subscription fees to sellers and buyers for facilitating transactions but does not directly control the transaction prices, which are determined by the traders. Buyers and sellers are divided into types, and we represent the compatibility between different types using a bipartite network. Traders are heterogeneous in terms of their valuations, and different types have possibly different value distributions. Buyers may have additional value for trading with some seller types. The platform chooses commissions-subscriptions to maximize its revenues. Two salient features of most online platforms are that they do not dictate the transaction prices, and use commissions/subscriptions for extracting revenues. We shed light on how these commissions/subscriptions should be set in networked markets.Using tools from convex optimization and combinatorics, we obtain tractable methods for computing the optimal commissions/subscriptions and provide insights on revenues and welfare. We provide a tractable convex optimization formulation to calculate the revenue-maximizing commissions/subscriptions, and establish that, typically, different types should be charged different commissions/subscriptions depending on their network positions. We establish that the latter result holds even when the traders on each side have identical value distributions, and in this setting we provide lower and upper bounds on the platform's revenues in terms of the supply-demand imbalance across the network. Motivated by simpler schemes used in practice, we show that the revenue loss can be unbounded when all traders on the same side are charged the same commissions/subscriptions, and bound the revenue loss in terms of the supply-demand imbalance across the network. Charging only buyers or only sellers leads to at least half of the optimal revenues, when different types on the same side can be charged differently. Our results highlight the suboptimality of commonly used payment schemes, and showcase the importance of accounting for the compatibility between different user types. Under mild assumptions, we establish that a revenue-maximizing platform achieves at least 2/3 of the maximum achievable social welfare

     

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
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    Series: [Stanford University Graduate School of Business research paper ; no. 18, 48]
    Subjects: Pricing and Revenue Management; Two-sided Market; Buyer-seller Networks; Sharing Economy
    Scope: 1 Online-Ressource (circa 116 Seiten), Illustrationen
  2. Plattformökonomie und Erwerbsarbeit
    Auswirkungen algorithmischer Arbeitskoordination - das Beispiel Foodora
    Published: 2018
    Publisher:  Hans-Böckler-Stiftung, Düsseldorf

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    Source: Union catalogues
    Language: German
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/216012
    Series: Working Paper Forschungsförderung ; Nummer 087 (Juli 2018)
    Subjects: Sharing Economy; Plattformwirtschaft; Foodora
    Scope: 1 Online-Ressource (circa 27 Seiten)
  3. The sharing economy - how new business models influence consumer behavior
    Published: 2018

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    Source: Union catalogues
    Language: English
    Media type: Dissertation
    Format: Print
    Subjects: Mietwagenunternehmen; Sharing Economy; Verbraucherverhalten; Beziehungsmarketing; Motivation; Werbepsychologie; Schätzung
    Other subjects: (stw)Autovermietung; (stw)Share Economy; (stw)Konsumentenverhalten; (stw)Beziehungsmarketing; (stw)Motivation; (stw)Werbepsychologie; (stw)Schätzung; (stw)Deutschland
    Scope: VIII, 181 Blätter, 21 cm
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    Dissertation, Ludwig-Maximilians-Universität München, 2018

  4. Die Sharing Economy. Eine Analyse der Motivation zur Teilnahme an der Sharing Economy am Beispiel von Airbnb aus der Sicht des Gastes
    Published: 2018
    Publisher:  GRIN Verlag, München

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    Source: Union catalogues
    Language: German
    Media type: Ebook
    Format: Online
    ISBN: 9783668848429
    Other identifier:
    9783668848429
    Edition: 1. Auflage, digitale Originalausgabe
    Subjects: Wirtschaft; Verbraucherverhalten; Motivation; Verbrauch
    Other subjects: (Produktform)Electronic book text; (BISAC Subject Heading)BUS000000: BUSINESS & ECONOMICS / General; Sharing Economy; (VLB-WN)9789: Wirtschaft / Sonstiges
    Scope: Online-Ressource, 76 Seiten
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    Lizenzpflichtig. - Vom Verlag als Druckwerk on demand und/oder als E-Book angeboten

  5. Sharing of durable goods
    business models for original equipment manufacturers
    Published: 2018
    Publisher:  INSEAD, [Fontainebleau]

    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    Language: English
    Media type: Book
    Format: Online
    Series: Array ; 2018, 43
    Subjects: Sharing Economy; Durable Goods; After-sales Services; Servicization; Business Model Innovation
    Scope: 1 Online-Ressource (circa 40 Seiten)
  6. Pricing and job allocation in online labor platforms
    Published: 2018
    Publisher:  INSEAD, [Fontainebleau]

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Array ; 2018, 54
    Subjects: Sharing Economy; Sustainability; Scheduling; Queuing; Stochastic Systems.
    Scope: 1 Online-Ressource (circa 48 Seiten), Illustrationen