Web Based Capacity Allocation Strategies for Customers with Heterogeneous Preferences

Authors:
Vipul Agrawal;Giuseppe Lopomo;Sridhar Seshadri
Affiliations:
Leonard N. Stern School of Business, New York University, NY 10012;Leonard N. Stern School of Business, New York University, NY 10012;Leonard N. Stern School of Business, New York University, NY 10012 sseshadr@stern.nyu.edu
Venue:
Electronic Commerce Research
Year:
2002

Citing 5
Cited 1

Optimal dynamic pricing of inventories with stochastic demand over finite horizons

Management Science
Optimal starting times for end-of-season sales and optimal stopping times for promotional fares

Management Science
Impact of Uncertainty and Risk Aversion on Price and Order Quantity in the Newsvendor Problem

Manufacturing & Service Operations Management
Manufacturing Planning and Control for Supply Chain Management

Manufacturing Planning and Control for Supply Chain Management
Scheduling: Theory, Algorithms, and Systems

Scheduling: Theory, Algorithms, and Systems

Assortment Planning and Inventory Decisions Under a Locational Choice Model

Management Science

Quantified Score

Hi-index	0.00

Visualization

Abstract

We study different mechanisms for the pricing and allocation of capacity to customers with heterogeneous and unknown preferences. The mechanisms we study include posting of prices, auctions, with and without the possibility of resale. We compare the performance of each mechanism with the optimal selling procedure in terms of expected seller's profit and efficiency. We also discuss the feasibility of web based implementation.