4.5 Article Proceedings Paper

Contingent Preannounced Pricing Policies with Strategic Consumers

Journal

OPERATIONS RESEARCH
Volume 64, Issue 1, Pages 251-272

Publisher

INFORMS
DOI: 10.1287/opre.2015.1452

Keywords

pricing; announced discounts; strategic consumers

Funding

  1. Millennium Nucleus Information and Coordination in Networks ICM/FIC [RC130003]
  2. CONICYT [FBO16]
  3. CONICYT through grant FONDECYT [1130671]

Ask authors/readers for more resources

Companies in diverse industries must decide the pricing policy of their inventories over time. This decision becomes particularly complex when customers are forward looking and may defer a purchase in the hope of future discounts and promotions. With such uncertainty, many customers may end up not buying or buying at a significantly lower price, reducing the firm's profitability. Recent studies show that a way to mitigate this negative effect caused by strategic consumers is to use a posted or preannounced pricing policy. With that policy, firms commit to a price path that consumers use to evaluate their purchase timing decision. In this paper, we propose a class of preannounced pricing policies in which the price path corresponds to a price menu contingent on the available inventory. We present a two-period model, with a monopolist selling a fixed inventory of a good. Given a menu of prices specified by the firm and beliefs regarding the number of units to be sold, customers decide whether to buy upon arrival, buy at the clearance price, or not to buy. The firm determines the set of prices that maximizes revenues. The solution to this problem requires the concept of equilibrium between the seller and the buyers that we analyze using a novel approach based on ordinary differential equations. We show existence of equilibrium and uniqueness when only one unit is on sale. However, if multiple units are offered, we show that multiple equilibria may arise. We develop a gradient-based method to solve the firm's optimization problem and conduct a computational study of different pricing schemes. The results show that under certain conditions the proposed contingent preannounced policy outperforms previously proposed pricing schemes. The source of the improvement comes from the use of the proposed pricing policy as a barrier to discourage strategic waiting and as a discrimination tool for those customers waiting.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Computer Science, Software Engineering

Prophet secretary through blind strategies

Jose Correa, Raimundo Saona, Bruno Ziliotto

Summary: The paper introduces blind strategies that can achieve a better constant for the prophet secretary problem than previous research, and analyzes the limits of the optimal algorithms for the gambler.

MATHEMATICAL PROGRAMMING (2021)

Article Operations Research & Management Science

Posted Price Mechanisms and Optimal Threshold Strategies for Random Arrivals

Jose Correa, Patricio Foncea, Ruben Hoeksma, Tim Oosterwijk, Tjark Vredeveld

Summary: The classic prophet inequality is explored in the context of random order sequences, considering both nonadaptive and adaptive scenarios. For the nonadaptive case, an algorithm achieving an expected reward within at least a 0.632 fraction of the expected maximum is derived, with optimality proven. In the adaptive case with independent and identically distributed random variables, a tight 0.745-approximation is obtained, solving a problem posed by Hill and Kertz in 1982. The application of these prophet inequalities to posted price mechanisms shows tight bounds for both nonadaptive and adaptive scenarios when buyers arrive in random order.

MATHEMATICS OF OPERATIONS RESEARCH (2021)

Article Management

Network Pricing: How to Induce Optimal Flows Under Strategic Link

Jose Correa, Cristobal Guzman, Thanasis Lianeas, Evdokia Nikolova, Marc Schroder

Summary: This study explores network pricing games and proposes that setting appropriate caps on tolls charged by operators can lead to unique and efficient equilibriums, improving network performance and enhancing user surplus. By introducing the concept of great tolls, the study examines the efficiency of tolls in relation to user welfare, providing insights into optimal network regulation and management strategies.

OPERATIONS RESEARCH (2022)

Article Management

Long-Term Behavior of Dynamic Equilibria in Fluid Networks

Roberto Cominetti, Jose Correa, Neil Olver

Summary: Studying the dynamic equilibrium of queuing networks can predict long-term behavior, with significant impact on the state of stability, queue lengths, and the complete evolution.

OPERATIONS RESEARCH (2022)

Article Operations Research & Management Science

On the Price of Anarchy for Flows over Time

Jose Correa, Andres Cristi, Tim Oosterwijk

Summary: This paper investigates dynamic equilibria in the deterministic fluid queuing model in single-source, single-sink networks, discussing the analysis of dynamic network flows from a game-theoretic perspective. The study highlights the importance of dynamic network flows in real-world scenarios and presents key findings, while also addressing remaining fundamental questions and potential future developments. The results provide insights into the price of anarchy in different network structures and suggest potential factors impacting its bound.

MATHEMATICS OF OPERATIONS RESEARCH (2021)

Article Operations Research & Management Science

Prophet Inequalities for Independent and Identically Distributed Random Variables from an Unknown Distribution

Jose Correa, Paul Dutting, Felix Fischer, Kevin Schewior

Summary: The article focuses on the single-choice prophet inequality problem for independent and identically distributed random variables in optimal stopping theory, and discusses the boundaries of the problem. The authors found that in the case where F is unknown, a tight bound of 0.368 is established, related to the optimal solution of the secretary problem. Furthermore, combining the stopping time with a limited number of samples from F significantly improves the solution.

MATHEMATICS OF OPERATIONS RESEARCH (2021)

Article Management

School Choice in Chile

Jose Correa, Natalie Epstein, Rafael Epstein, Juan Escobar, Ignacio Rios, Nicolas Aramayo, Bastian Bahamondes, Carlos Bonet, Martin Castillo, Andres Cristi, Boris Epstein, Felipe Subiabre

Summary: The centralized school admission mechanisms are an attractive way of improving social welfare and fairness in large educational systems. The newly established school choice system in Chile, is used for all school grade levels and faces unprecedented design challenges. The primary goal is to favor the assignment of siblings to the same school.

OPERATIONS RESEARCH (2022)

Article Management

Preference estimation under bounded rationality: Identification of attribute non-attendance in stated-choice data using a support vector machines approach

Veronica Diaz, Ricardo Montoya, Sebastian Maldonado

Summary: This study proposes a machine learning approach to identify attribute non-attendance (ANA) at the individual level and predict consumer choices in conjoint experiments. Extensive simulation and empirical testing demonstrate the good performance and usefulness of the proposed method.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2023)

Article Multidisciplinary Sciences

Multidimensional political apportionment

Javier Cembrano, Jose Correa, Victor Verdugo

Summary: Deciding how to allocate seats in a deliberative assembly is a fundamental problem in political organization, and this paper introduces a study on multidimensional proportional apportionment. The research finds that while such apportionments are computationally challenging, approximate solutions can be found.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2022)

Article Management

The Value of Observing the Buyers' Arrival Time in Dynamic Pricing

Jose Correa, Dana Pizarro, Gustavo J. Vulcano

Summary: In this dynamic pricing problem, a firm aims to maximize expected revenue by selling one item to a buyer. The firm determines a price function over an infinite horizon. The buyer, who has a private value for the item, strategizes over the timing of the purchase to maximize expected utility. The value of the seller's ability to observe the buyer's arrival time in terms of expected revenue is analyzed.

MANAGEMENT SCIENCE (2023)

Article Operations Research & Management Science

Sample-Driven Optimal Stopping: From the Secretary Problem to the i.i.d. Prophet Inequality

Jose Correa, Andres Cristi, Boris Epstein, Jose A. Soto

Summary: This paper presents a unified approach to single selection optimal stopping problems with random arrival order and independent sampling. The decision maker initially samples N items independently with probability p, and observes the relative rankings of these sampled items. The goal is to maximize the reward by making irrevocable stop/continue decisions while facing the remaining items and observing their rankings. The paper covers the cases where the reward values are known and adversarial, recovering classic results and determining the optimal algorithm and competitive ratios.

MATHEMATICS OF OPERATIONS RESEARCH (2023)

Proceedings Paper Computer Science, Theory & Methods

A Constant Factor Prophet Inequality for Online Combinatorial Auctions

Jose Correa, Andres Cristi

Summary: In online combinatorial auctions, a constant factor prophet inequality has been proven to exist for subadditive valuations using a novel sampling idea called the Mirror Lemma, resolving a central open problem in the field.

PROCEEDINGS OF THE 55TH ANNUAL ACM SYMPOSIUM ON THEORY OF COMPUTING, STOC 2023 (2023)

Article Business

Drivers of customer satisfaction in the grocery retail industry: A longitudinal analysis across store formats

Marcel Goic, Camilo Levenier, Ricardo Montoya

Summary: The design of satisfactory shopping experiences is essential for long-term profitability in modern retailing, and companies are interested in identifying key drivers that shape customer satisfaction. Larger store formats are associated with higher satisfaction levels, and specific elements of service execution vary significantly across store formats. Loss aversion exists in shopping experience, where poor performance has a larger impact on customer satisfaction than superior performance.

JOURNAL OF RETAILING AND CONSUMER SERVICES (2021)

Article Psychology, Applied

Components of attentional effort for repeated tasks

Andres Musalem, Ricardo Montoya, Martin Meissner, Joel Huber

Summary: This study identifies four attentional processes that impact efficiency and accuracy in repeated lexicographic tasks, including Orientation, Wrong Target, Duration, and Repetition. The research suggests that Orientation and Repetition have a positive impact on accuracy, while Duration and Wrong Target have a smaller effect on accuracy.

JOURNAL OF BEHAVIORAL DECISION MAKING (2021)

No Data Available