CRMar 1, 2016

Protecting suppliers' private information: the case of stock levels and the impact of correlated items

arXiv:1603.00182v1
Originality Synthesis-oriented
AI Analysis

This addresses privacy and pricing challenges for suppliers and customers in marketplaces, but appears incremental as it builds on existing option pricing methods.

The paper tackles the problem of protecting suppliers' private stock information in a marketplace by using a broker and option contracts, resulting in formulas for option pricing under three probability models to allow risk transfer.

A marketplace is defined where the private data of suppliers (e.g., prosumers) are protected, so that neither their identity nor their level of stock is made known to end customers, while they can sell their products at a reduced price. A broker acts as an intermediary, which takes care of providing the items missing to meet the customers' demand and allows end customers to take advantages of reduced prices through the subscription of option contracts. Formulas are provided for the option price under three different probability models for the availability of items. Option pricing allows the broker to partially transfer its risk on end customers.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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