Optimal pricing in social networks considering reference price effect

We study the optimal monopoly pricing strategies in a social network, in which consumers experience a network effect that is dependent on their neighbors' consumptions and a reference price which is the average price received by their neighbors. We establish a two-stage game model for any social network. Utilizing the backward induction, we derive the equilibrium price by maximizing the monopolist's profit. In addition, we apply this model to the two most commonly used network structures: the star network and the bipartite network. We find that both the network effect and the reference price effect play a critical role in deciding pricing strategies in social networks. Moreover, our numerical results demonstrate that whether to implement discriminatory pricing depends critically on the network structure. This work provides monopoly firms a useful guideline for optimal pricing decisions in social network marketing.     

Strategic investment analysis for migration beyond 3G wireless networks

This paper analyzes investment alternatives for cellular operators who deploy either universal mobile telecommunications systems (UMTS) with high speed data packet access (HSDPA) networks or UMTS with Wi-Fi networks, for moving beyond 3G-networks. The evaluated business scenarios focus on two different deployment alternatives: UMTS with HSDPA and UMTS integrated with Wi-Fi. HSDPA deployment targets the overlay on the existing UMTS cells, whereas Wi-Fi covers only indoor hot spot areas where data demand is high. Capital investments and operational costs as well as revenue streams have been analyzed for the two types of network architectures. Techno-economic methodologies have been applied for this study and results are derived that are presented and discussed for two types of wireless networks.     

An empirically derived taxonomy of retailer pricing and promotion strategies

Most research categorizes grocery retailers as following either an Every Day Low pricing (EDLP) or a High Low (Hi-Lo) pricing strategy at a store or chain level, whereas this paper studies retailer pricing and promotions at a brand-store level. It empirically examines 1,364 brand-store combinations from 17 chains, 212 stores and six categories of consumer package goods in five U.S. markets. Retailer pricing and promotion strategies are found to be based on combinations of four underlying dimensions: relative price, price variation, deal intensity and deal support. At the brand-store level, retailers practice five pricing strategies, labeled Exclusive, Moderately Promotional, Hi-Lo, EDLP, and Aggressive pricing. Surprisingly, the most prevalent pricing strategy is not Hi-Lo pricing strategy as is widely believed. It is one characterized by average relative brand price, low price variation, medium deal intensity, and medium deal support. The findings provide some initial benchmarks and suggest that retailers should closely monitor their competitors’ price decisions at the brand level.