Optimal pricing decision and capacity allocation of intelligence-based opaque selling in airline revenue management

2021 ◽  
Author(s):  
Ben Li ◽  
Xiaolong Guo ◽  
Liang Liang
Keyword(s):  
Revenue Management ◽  
Capacity Allocation ◽  
Optimal Pricing ◽  
Airline Revenue Management ◽  
Pricing Decision

scholarly journals A Welfare Assessment of Revenue Management Systems

2020 ◽  
Vol 19 (1) ◽  
pp. 1-41
Author(s):  
Nicolas Dupuis ◽  
Marc Ivaldi ◽  
Jerome Pouyet
Keyword(s):  
Theoretical Model ◽  
Revenue Management ◽  
Consumer Preferences ◽  
Consumer Surplus ◽  
Capacity Constraints ◽  
Management Systems ◽  
Optimal Pricing ◽  
Pricing Strategies ◽  
Welfare Impact ◽  
Welfare Assessment

AbstractWe study the welfare impact of revenue management, a practice which is widely spread in the transport industry, but whose impact on consumer surplus remains unclear. We develop a theoretical model of revenue management allowing for heterogeneity in product characteristics, capacity constraints, consumer preferences, and probabilities of arrival. We also introduce dynamic competition between revenue managers. We solve this model computationally and recover the optimal pricing strategies. We find that revenue management is generally welfare enhancing as it raises the number of sales.

Optimal pricing decision of composite service offered by network providers in E-commerce environment

2021 ◽  
Author(s):  
Zheng Liu ◽  
Hangxin Guo ◽  
Yuanjun Zhao ◽  
Bin Hu ◽  
Xiaodong Ji ◽  
...  
Keyword(s):  
Optimal Pricing ◽  
Composite Service ◽  
Pricing Decision

scholarly journals Simulation-Based Booking Limits for Airline Revenue Management

2005 ◽  
Vol 53 (1) ◽  
pp. 90-106 ◽  
Author(s):  
Dimitris Bertsimas ◽  
Sanne de Boer
Keyword(s):  
Revenue Management ◽  
Airline Revenue Management ◽  
Simulation Based ◽  
Booking Limits

Duopoly game of callable products in airline revenue management

2016 ◽  
Vol 254 (3) ◽  
pp. 925-934 ◽  
Author(s):  
Tingting Li ◽  
Jinxing Xie ◽  
Shengmin Lu ◽  
Jiafu Tang
Keyword(s):  
Revenue Management ◽  
Airline Revenue Management

Pricing insurance policies with offsetting relationship

2021 ◽  
pp. 1-27
Author(s):  
Hanbali Hamza
Keyword(s):  
Insurance Market ◽  
Optimal Pricing ◽  
Price Discounts ◽  
Insurance Policies ◽  
Life Data ◽  
Pricing Decision ◽  
Pricing Process ◽  
Pairwise Correlations ◽  
Number Of Customers ◽  
The Relationship

Abstract This paper investigates the benefits of incorporating diversification effects into the pricing process of insurance policies from two different business lines. The paper shows that, for the same risk reduction, insurers pricing policies jointly can have a competitive advantage over those pricing them separately. However, the choice of competitiveness constrains the underwriting flexibility of joint pricers. The paper goes a step further by modelling explicitly the relationship between premiums and the number of customers in each line. Using the total collected premiums as a criterion to compare the competing strategies, the paper provides conditions for the optimal pricing decision based on policyholders’ sensitivity to price discounts. The results are illustrated for a portfolio of annuities and assurances. Further, using non-life data from the Brazilian insurance market, an empirical exploration shows that most pairs satisfy the condition for being priced jointly, even when pairwise correlations are high.

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