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.

Multiregional Oligopoly with Capacity Constraints

2020 ◽  
Author(s):  
Humoud Alsabah ◽  
Benjamin Bernard ◽  
Agostino Capponi ◽  
Garud Iyengar ◽  
Jay Sethuraman
Keyword(s):  
Revenue Management ◽  
Free Trade ◽  
Consumer Surplus ◽  
Capacity Constraints ◽  
Unintended Consequences ◽  
Transportation Costs ◽  
Unique Equilibrium ◽  
Equilibrium Allocation ◽  
Multiple Regions ◽  
Capacity Constrained

We develop a model of Cournot competition between capacity-constrained firms that sell a single good to multiple regions. We provide a novel characterization for the unique equilibrium allocation of the good across regions and design an algorithm to compute it. We show that a reduction in transportation costs by a firm may negatively impact the profit of all firms and reduce aggregate consumer surplus if such a firm is capacity constrained. Our results imply that policies promoting free trade may have unintended consequences and reduce aggregate welfare in capacity-constrained industries. This paper was accepted by David Simchi-Levi, revenue management and market analytics.

scholarly journals Pricing Strategies of Logistics Distribution Services for Perishable Commodities

Algorithms ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 186
Author(s):  
Tao Li ◽  
Yan Chen ◽  
Taoying Li
Keyword(s):  
Dynamic Pricing ◽  
Consumer Satisfaction ◽  
Service Providers ◽  
Time Constraints ◽  
Optimal Pricing ◽  
Pricing Strategies ◽  
Pricing Model ◽  
Logistics Service ◽  
Distribution Services ◽  
Perishable Goods

The problem of pricing distribution services is challenging due to the loss in value of product during its distribution process. Four logistics service pricing strategies are constructed in this study, including fixed pricing model, fixed pricing model with time constraints, dynamic pricing model, and dynamic pricing model with time constraints in combination with factors, such as the distribution time, customer satisfaction, optimal pricing, etc. By analyzing the relationship between optimal pricing and key parameters (such as the value of the decay index, the satisfaction of consumers, dispatch time, and the storage cost of the commodity), it is found that the larger the value of the attenuation coefficient, the easier the perishable goods become spoilage, which leads to lower distribution prices and impacts consumer satisfaction. Moreover, the analysis of the average profit of the logistics service providers in these four pricing models shows that the average profit in the dynamic pricing model with time constraints is better. Finally, a numerical experiment is given to support the findings.

scholarly journals Selling to strategic customers with cost uncertainty

2020 ◽  
Vol 14 (1) ◽  
Author(s):  
Guodaohou Song ◽  
Xiaofang Wang
Keyword(s):  
Production Cost ◽  
Learning Effect ◽  
Optimal Pricing ◽  
Pricing Strategies ◽  
Strategic Customers ◽  
Cost Uncertainty ◽  
Intertemporal Pricing ◽  
Negative Comments ◽  
Second Period

AbstractProduction cost can be influenced by previous sales in an uncertain way. In reality, production cost may decrease in the number of initial buyers due to the learning effect, or increase in the number of initial buyers due to the quality-improving pressure from negative comments of unhappy users. Taking this uncertainty into account, this paper studies the optimal intertemporal pricing strategies of a firm when selling to strategic customers in two periods where production cost in the second period randomly changes with the number of buyers in the first period. Our results suggest how firms should adjust their optimal pricing strategies under different market circumstances.

scholarly journals Optimal Pricing Strategies and Customers’ Equilibrium Behavior in an Unobservable M/M/1 Queueing System with Negative Customers and Repair

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Doo Ho Lee
Keyword(s):  
Queueing System ◽  
Point Of View ◽  
Optimal Pricing ◽  
Pricing Strategies ◽  
Negative Customers ◽  
Economic Point ◽  
Equilibrium Behavior ◽  
Payment Scheme ◽  
Ex Post ◽  
Pricing Schemes

This work investigates the optimal pricing strategies of a server and the equilibrium behavior of customers in an unobservable M/M/1 queueing system with negative customers and repair. In this work, we consider two pricing schemes. The first is termed the ex-post payment scheme, where the server charges a price that is proportional to the time spent by a customer in the system. The second scheme is the ex-ante payment scheme, where the server charges a flat rate for all services. Based on the reward-cost structure, the server (or system manager) should make optimal pricing decisions in order to maximize its expected profit per time unit in each payment scheme. This study also investigates equilibrium joining/balking behavior under the server’s optimal pricing strategies in the two pricing schemes. We show, given a customer’s equilibrium, that the two pricing schemes are perfectly identical from an economic point of view. Finally, we illustrate the effect of several system parameters on the optimal joining probabilities, the optimal price, and the equilibrium behavior via numerical examples.

scholarly journals Evaluating the impact of mega-sporting events on hotel pricing strategies: the case of the 2014 FIFA World Cup

2017 ◽  
Vol 72 (2) ◽  
pp. 184-208 ◽  
Author(s):  
Albert A. Barreda ◽  
Sandra Zubieta ◽  
Han Chen ◽  
Marina Cassilha ◽  
Yoshimasa Kageyama
Keyword(s):  
Revenue Management ◽  
Sporting Events ◽  
Pricing Strategies ◽  
World Cup ◽  
Fifa World Cup ◽  
Content Type ◽  
Country Level ◽  
Sporting Event ◽  
Hotel Performance ◽  
The Impact

PurposeThis study aims to examine the impact of a mega-sporting event “2014 FIFA World Cup” on hotel pricing strategies and performance. Design/methodology/approachThe present project examines the host regions’ response to the 2014 FIFA World Cup which was established by the variance in the main hotel key performance indexes: occupancy, average daily rate, revenue per available room (RevPAR) and supply. Using data gathered from STR, this research distinctly shows how the Brazilian host regions reacted to the World Cup. FindingsResults suggest that the key performance indicators of Brazil’s lodging sector reacted differently to the World Cup. Although all hosting cities experienced significant RevPAR growth because of the increase in hotel room rates during the event, the supply and occupancy performed differed from each city. Research limitations/implicationsResearch is limited to the case of hotel performance at the country level for mega-events. The study focused on the reaction of revenue managers in the Latin America context. Other contexts may generate different results. Practical implicationsThe study helps revenue managers to examine how the FIFA World Cup travel demand affected pricing strategies and revenue management practices in the Brazilian hotel sector in areas undergoing seasonal growths in overnight tourism. This study serves to inform hoteliers and practitioners about revenue management pricing strategies to improve hotel performance during mega-sporting events. Social implicationsThis study reveals that the benefits brought by a mega-event are not always translated into strong hotel revenue performance. This study highlights an important but understudied research area of revenue management pricing strategies and the effect of mega-sporting events in the hotel sector. This study contributes to the literature as one of the few investigations to benefit hotel pricing strategies and overall revenue performance. Originality/valueThis study is one of the few studies about exploring the reaction of revenue managers during the execution of a mega-sporting event. The value of the present study lies in the fact that the authors extend previous studies examining the impact of the most important sporting event in the hotel industry at the country-level perspective. This study serves to inform hoteliers and practitioners about revenue management pricing strategies to improve hotel performance during mega-sporting events.

OPTIMAL PRICING AND PRODUCTION POLICIES OF A MAKE-TO-STOCK SYSTEM WITH FLUCTUATING DEMAND

2009 ◽  
Vol 23 (2) ◽  
pp. 205-230 ◽  
Author(s):  
Jean-Philippe Gayon ◽  
Işılay Talay-Değirmenci ◽  
Fikri Karaesmen ◽  
E. Lerzan Örmeci
Keyword(s):  
Dynamic Pricing ◽  
Numerical Study ◽  
Optimal Pricing ◽  
Pricing Strategies ◽  
Pricing Policy ◽  
Stock Level ◽  
Production Inventory ◽  
Static Pricing ◽  
Make To Stock ◽  
Production Inventory System

We study the effects of different pricing strategies available to a production–inventory system with capacitated supply, which operates in a fluctuating demand environment. The demand depends on the environment and on the offered price. For such systems, three plausible pricing strategies are investigated: static pricing, for which only one price is used at all times, environment-dependent pricing, for which price changes with the environment, and dynamic pricing, for which price depends on both the current environment and the stock level. The objective is to find an optimal replenishment and pricing policy under each of these strategies. This article presents some structural properties of optimal replenishment policies and a numerical study that compares the performances of these three pricing strategies.

STORE PROMOTION, MANUFACTURER COMPETITION AND WELFARE

2021 ◽  
pp. 1-18
Author(s):  
HAO WANG ◽  
XUNDONG YIN ◽  
ALICE Y. OUYANG
Keyword(s):  
Social Welfare ◽  
Consumer Preferences ◽  
Consumer Surplus ◽  
Weighted Average ◽  
Brand Name ◽  
Price Distortion ◽  
Online Platforms ◽  
Brand Competition ◽  
The Social ◽  
Partial Exclusion

This study evaluates the partial exclusion effects of store promotion. We find that a manufacturer with a better brand name has a higher willingness-to-pay for promotion services offered by retail stores or online platforms. The promotion results in higher sales-weighted average prices (wholesale and retail) and a larger inter-brand price gap. The stores or platforms extract more profits from manufacturers and consumers through the promotion services. The effects on consumer surplus and social welfare depend on whether the promotion alters consumer preferences. If it does, more consumers would be choosing their less-preferred brands because of the larger inter-brand price gap, which would be socially inefficient. If it does not, the promotion may help to correct the price distortion, but the social welfare effect is positive only when the promotion effect is small enough. In both cases, the promotion services reduce the total consumer surplus by softening inter-brand competition.

Sign in / Sign up

Export Citation Format

Share Document