Inspired by new developments in dynamic spectrum access, we study the dynamic pricing of wireless internet access when demand and capacity (i.e., available bandwidth) are both stochastic. The demand for wireless internet access has increased enormously in recent years. However, the spectrum available to wireless service providers is limited. The industry has thus expanded conventional license-b...

The Internet offers the potential for dynamic pricing for a wide range of products across the supply chain. Dynamic pricing can be formally defined as the buying and selling of goods in markets where prices move quickly in response to supply and demand fluctuations. Unlike physical markets where change occurs slowly because of information delays, change occurs very rapidly on the Internet. In t...

A standard definition of dynamic pricing in airline markets typically focuses on how fares evolve over the booking period that precedes a flight’s take-off. Our research shows that such a definition is lacking because it fails to connect fare changes to some guiding principles of revenue management, defined as the combined methods used by carriers to set their fares. Once such a connection is m...

In this paper, we consider the pricing decision of a retailer who experiences peak demand for a product during a given time interval and wishes to stabilize the demand by adjusting the sales price. The stabilization of demand brings about desirable outcomes such as a reduction in the need for capacity investment and improves the production efficiency in the supply chain. We establish a continuo...

In this paper, we investigate and model interactions and incentives between competing ISPs employing different pricing strategies (dynamic congestion-based pricing vs. volume pricing). We focus here on a scenario where all users are considered to be multihomed. Keywordsmultihoming; pricing; congestion marks; future Internet

In this paper we study dynamic pricing mechanisms of financial derivatives. A typical model of such pricing mechanism is the so-called g–expectation defined by solutions of a backward stochastic differential equation with g as its generating function. Black-Scholes pricing model is a special linear case of this pricing mechanism. We are mainly concerned with two types of pricing mechanisms in a...

Abstract: This paper investigates a decision-making problem consisting of less-than-truckload dynamic pricing (LTLDP) under Physical Internet (PI). PI can be seen as the interconnection of logistics networks via open PI-hubs, which can be considered as spot freight markets where LTL requests of different volume/destination continuously arrive over time for a short-stay. Carriers can bid for the...

We develop an analytical framework to investigate the competitive implications of dynamic pricing technologies (DPT), which enable precise inferring of consumers’ valuations for firms’ products and personalized pricing. These technologies enable first-degree price discrimination: firms charge different prices to different consumers, based on their willingness to pay. We first show that, even th...

Article history: Received 6 February 2014 Received in revised form 17 March 2015 Accepted 17 March 2015 The topic of dynamic pricing and learning has received a considerable amount of attention in recent years, from different scientific communities. We survey these literature streams: we provide a brief introduction to the historical origins of quantitative research on pricing and demand estima...

Telecommunications industry is a highly competitive one where operators’ strategies usually rely on significantly reducing minute rate in order to acquire more subscribers and thus have higher market share. However, in the last few years, the numbers of customers are noticeably increasing leading to more stress on the network, and higher congestion rate, i.e. worse quality of service (QoS). Bec...