Dynamic Pricing: A Strategic Advantage for Electronic Retailers
نویسندگان
چکیده
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 though the monopolist makes a higher profit with DPT, its optimal quality is the same with or without DPT. Next we show that in a duopoly setting, dynamic pricing adds value only if it is associated with product differentiation. We then consider a model of vertical product differentiation, and show how dynamic pricing on the Internet affects firms choices of quality differentiation in a competitive scenario. We find that when the high quality firm adopts DPT both firms raise their quality. Conversely, when the low quality firm adopts DPT, both firms lower their quality. While it is optimal for the firm adopting DPT to increase product differentiation, the non-DPT firm seeks to reduce differentiation by moving closer in the quality space. Our model also points out firms optimal pricing strategies with DPT, which may be non-monotonic in consumer valuations. Finally, we show that consumer surplus is highest when both firms adopt DPT. Thus, despite the threat of first-degree price discrimination, dynamic pricing with competing firms can lead to an overall increase in consumer welfare.
منابع مشابه
Dynamic pricing in the presence of store-switching consumers
We introduce and analyze two-period intertemporal competitive dynamic pricing models in the presence of both store-switchers and store-loyal consumers who may be either myopic or strategic. Our analysis reveals that (i) in the presence of storeswitching consumers, retailers’ profits may increase with an increase in the patience level of the strategic consumers, which never happens when consumer...
متن کاملA DSS-Based Dynamic Programming for Finding Optimal Markets Using Neural Networks and Pricing
One of the substantial challenges in marketing efforts is determining optimal markets, specifically in market segmentation. The problem is more controversial in electronic commerce and electronic marketing. Consumer behaviour is influenced by different factors and thus varies in different time periods. These dynamic impacts lead to the uncertain behaviour of consumers and therefore harden the t...
متن کاملA model of brand competition for durable goods supply chains in a dynamic framework
Game theory is an efficient tool to represent and conceptualize the problems concerning conflict and competition. In recent years and especially for durable products, competition between domestic and foreign brands for gaining market share has received a considerable attention. This paper study electronic commerce concepts by differential game theory and introduce a novel and comprehensive mode...
متن کاملDemand-based pricing versus past-price dependence: The role of retailer category objectives, costs and benefits of pricing tactics
Recent research has found that retailers’ dynamic pricing practices often fall short of sophisticated demand-based pricing models, and has demonstrated that much money is left on the table in the process. Why then would a retailer not engage in demand-based pricing for each category and brand? We examine the circumstances under which demand-based pricing versus past-price dependence is more pro...
متن کاملConsidering Pricing Problem in a Dynamic and Integrated Design of Sustainable Closed-loop Supply Chain Network
Flexible and dynamic supply chain network design problem has been studied by many researchers during past years. Since integration of short-term and long-term decisions in strategic planning leads to more reliable plans, in this paper a multi-objective model for a sustainable closed-loop supply chain network design problem is proposed. The planning horizon of this model contains multiple strate...
متن کامل