Topic
Dynamic pricing
About: Dynamic pricing is a research topic. Over the lifetime, 4144 publications have been published within this topic receiving 91390 citations. The topic is also known as: surge pricing & demand pricing.
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30 Nov 2010
TL;DR: Rao et al. as discussed by the authors conducted a cross-country survey to understand the relationship between consumers' willingness to pay and pricing, and found that the majority of consumers were willing to pay more than 50% of the prices they would normally pay.
Abstract: Contents: Foreword Introduction Vithala R. Rao PART I: INTRODUCTION/FOUNDATIONS 1. Pricing Objectives and Strategies: A Cross-Country Survey Vithala R. Rao and Benjamin Kartono 2. Willingness to Pay: Measurement and Managerial Implications Kamel Jedidi and Sharan Jagpal 3. Measurement of Own- and Cross-Price Effects Qing Liu, Thomas Otter and Greg M. Allenby 4. Behavioral Pricing Aradhna Krishna 5. Consumer Search and Pricing Brian T. Ratchford 6. Structural Models of Pricing Tat Chan, Vrinda Kadiyali and Ping Xiao 7. Heuristics in Numerical Cognition: Implications for Pricing Manoj Thomas and Vicki Morwitz 8. Price Cues and Customer Price Knowledge Eric T. Anderson and Duncan I. Simester PART II: PRICING DECISIONS AND MARKETING MIX 9. Strategic Pricing of New Products and Services Rabikar Chatterjee 10. Product Line Pricing Yuxin Chen 11. The Design and Pricing of Bundles: A Review of Normative Guidelines and Practical Approaches R. Venkatesh and Vijay Mahajan 12. Pricing of National Brands Versus Store Brands: Market Power Components, Findings and Research Opportunities Koen Pauwels and Shuba Srinivasan 13. Trade Promotions Chakravarthi Narasimhan 14. Competitive Targeted Pricing: Perspectives from Theoretical Research Z. John Zhang 15. Pricing in Marketing Channels K. Sudhir and Sumon Datta 16. Nonlinear Pricing Raghuram Iyengar and Sunil Gupta 17. Dynamic Pricing P.B. (Seethu) Seetharaman PART III: SPECIAL TOPICS 18. Strategic Pricing: An Analysis of Social Influences Wilfred Amaldoss and Sanjay Jain 19. Online and Name-Your-Own-Price Auctions: A Literature Review Young-Hoon Park and Xin Wang 20. Pricing Under Network Effects Hongju Liu and Pradeep K. Chintagunta 21. Advance Selling Theory Jinhong Xie and Steven M. Shugan 22. Pricing and Revenue Management Sheryl E. Kimes 23. Pharmaceutical Pricing Samuel H. Kina and Marta Wosinska 24. Pricing for Nonprofit Organizations Yong Liu and Charles B. Weinberg 25. Pricing in Services Stowe Shoemaker and Anna S. Mattila 26. Strategic Pricing Response and Optimization in Operations Management Teck H. Ho and Xuanming Su Index
56 citations
TL;DR: In this article, the economic effects of a dynamic pricing strategy for the airline industry are examined and it is shown that a seat on a specific flight is a typical perishable good, appropriate to be dynamically priced.
Abstract: This paper examines the economic effects of a dynamic pricing strategy for the airline industry. It is shown that a seat on a specific flight is a typical perishable good, appropriate to be dynamically priced. The application of a dynamic pricing strategy has a neutral or a positive effect on revenues, depending on competitors' revenue management strategy. Furthermore, a dynamic pricing strategy not only influences revenue but also affects the cost structure of an airline and, hence, leads directly to a decrease in process complexity and transaction cost. Therefore, dynamic pricing proves to be the starting point for an efficient pull strategy. It follows that a dynamic pricing strategy can probably lead to a new business model for the airline industry.
56 citations
01 Sep 2013
TL;DR: In this article, the value of thermal inertia in demand response to benefit customers is determined through a Mixed Integer Linear Programming (MILP) algorithm, and the optimization of thermal load for maintaining the smart house within thermal comfort level is formulated as a MILP algorithm under the dynamic pricing policy.
Abstract: In this paper, the value of thermal inertia in demand response to benefit customers is determined through a Mixed Integer Linear Programming (MILP) algorithm. Thermal models with different sophistications for a smart house are investigated. The energy consumption for cooling a smart house is optimized to minimize the expenditure of cooling load. One parameter and two-parameter thermal models are integrated into the optimization. The optimization of thermal load for maintaining the smart house within thermal comfort level is formulated as a MILP algorithm under the dynamic pricing policy. It is observed that the utilization of thermal inertia could potentially benefit both smart house owners and grid operators in the context of smart grid.
56 citations
TL;DR: In this paper, the authors developed a stochastic dynamic programming model to determine the order quantity and the prices for a perishable product with a multiple period lifetime, where demand for products of different ages are dependent on the prices of mutually "substitutable" products.
56 citations
TL;DR: In this paper, a dynamic pricing framework for the airline sector is presented, which includes the main theories on prices in the literature, and dynamically analyzes how companies change their pricing policies according to different circumstances.
56 citations