Economic theory suggests sellers can increase revenue through dynamic pricing; selling identical goods or services at different prices. However, such discrimination requires knowledge of the maximum price that each consumer is willing to pay; information that is often unavailable. Fortunately, electronic markets offer a solution; generating vast quantities of transaction data that, if used inte...

With the development of e-commerce, online purchasing has made competitions among retailers fiercer than ever. Access on the internet influences traditional purchasing access inevitably. In this paper, the author uses Hotelling model to simulate the dynamic pricing process between online retailers and off-line retailers by the two steps game model. It gives a straightforward demonstration of th...

This position paper argues for research in the development of focused solutions for dynamic pricing, service-level agreements and negotiation for eServices in a digital economy. Thereby the authors have a main focus on the development of an independent negotiation protocol, which satisfies the needs and preferences of customers and service providers, also with a certain focus on legal aspects o...

We present an Open Automated Demand Response Communications Specifications (OpenADR) data model capable of communicating real-time prices to electricity customers. We also show how the same data model could be used to for other types of dynamic pricing tariffs (including peak pricing tariffs, which are common throughout the United States). Customers participating in automated demand response pr...

The rapid growth in demand for cellular telephony coupled to the limited bandwidth allocated to the air interface, has encouraged researchers to find technological solutions to increase the number of usable channels. The various techniques developed invariably involve installation of new infrastructure. While such strategies enable the networks to meet peak-hour demand, they inevitably leave th...

A key feature of food products is their perishability. Within the short marketing window that characterizes most food and ag products, demand is typically highly stochastic and difficult to predict. This combination of features poses substantial challenges to retailers when pricing products and has implications for performance that ripples through vertical food chains. For many food products, p...

We consider dynamic pricing competition between two firms offering vertically differentiated products to strategic customers who are inter-temporal utility maximizers. Our model can be viewed as a competitive version of the classical model of Besanko and Winston (1990). We show that there exists a Markov perfect equilibrium (MPE) in mixed strategy in the game. Furthermore, we give a simple cond...

This paper proposes a method for pricing derivatives under the GARCH assumption for underlying assets in the context of a “dynamic” version of Gerber-Shiu’s optionpricing model. Instead of adopting the notion of local risk-neutral valuation relationship (LRNVR) introduced by Duan (1995), we employ the concept of conditional Esscher transforms introduced by Bühlmann et al. (1996) to identify a m...

In this paper we study the effect of dynamic behavior of the market on the optimum pricing policy for a revenue maximizing firm in a monopoly market. We show that the optimum pricing policy in the dynamic market can be very different from the static one, and the most important contributing factors for this difference are: consumer response time, planning period and the discount rate. Furt...

Energy companies and policy makers often utilize pricing mechanism to promote energy conservation besides informational provision. Such dynamic pricing includes not only the high/low price conditional on the consumption time, but the rebates which reward the consumers afterwards based on the total consumption. Even though rebates can motivate consumers to save more, such saving could provide co...