Optimal Design of Robust Combinatorial Mechanisms for Substitutable Goods

In this paper we consider multidimensional mechanism design problem for selling discrete substitutable items to a group of buyers. Previous work on this problem mostly focus on stochastic description of valuations used by the seller. However, in certain applications, no prior information regarding buyers' preferences is known. To address this issue, we consider uncertain valuations and formulate the problem in a robust optimization framework: the objective is to minimize the maximum regret. For a special case of revenue-maximizing pricing problem we present a solution method based on mixed-integer linear programming formulation

Optimal Auctions with Information Acquisition

This paper studies optimal auction design in a private value setting with endogenous information acquisition. First, we develop a general framework for modeling information acquisition when a seller wants to sell an object to one of several potential buyers who can each gather information about their valuations prior to participation. We then show that under certain conditions, standard auctions with a reserve price remain optimal, but the optimal reserve price lies between the mean valuation and the standard reserve price in Myerson (1981). We provide sufficient conditions under which the value of information to the seller is positive, and also characterize the necessary and sufficient conditions under which equilibrium information acquisition in private value auctions is socially excessive. The key to the analysis is the insight that buyer incentives to acquire information become stronger as the reserve price moves toward the mean valuation.optimal auctions, information acquisition, rotation order, informational efficiency

Mobile Communications Industry Scenarios and Strategic Implications for Network Equipment Vendors

Mobile infrastructure markets have changed dramatically during the past years. The industry is experiencing a shift from traditional large-scale, hardware-driven system roll-outs to software and services -driven business models. Also, the telecommunications and internet worlds are colliding in both mobile infrastructure and services domains requiring established network equipment vendors and mobile operators to transform and adapt to the new business environment. This paper utilizes Schoemaker's scenario planning process to reveal critical uncertain elements shaping the future of the industry. Four possible scenarios representing different value systems between industry's key stakeholders are created. After this, five strategic options with differing risk and cost factors for established network equipment vendors are discussed in order to aid firm's strategic planning process. --

Improving supply chain efficiency through wholesale price renegotiation

In a decentralized supply chain, double marginalization is an important source of inefficiency. We suggest in this paper a simple mechanism to reduce it that uses a wholesale price contract and renegotiation. Our mechanism only requires repeated interaction, and rational behavior from the players. Specifically, over T rounds of negotiation, the supplier proposes different prices in each round, and the buyer places orders at the quoted price. Even though prices are decreasing in time, the buyer places a positive order, to force the supplier to reduce its price in the following round. This interaction results in higher profits for both supplier and buyer. We solve the buyer and supplier problems and show that, as T increases, supply chain efficiency tends to 100%, and the sub-optimality gap decreases with 1/T. Finally, we discuss how these results can be applied to design negotiation processes.strategic customer; dynamic pricing; supply chain;