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Author: Matthew Selove
Publisher:
ISBN:
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Languages : en
Pages : 0
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Although some firms use dynamic pricing to respond to demand fluctuations, other firms claim that fairness concerns prevent them from raising prices during periods when demand exceeds capacity. This paper explores conditions in which fairness concerns can or cannot cause shortages. In our model, a firm announces a price policy that states its prices during high and low demand, and customers must travel to a venue to learn the current price. We show that the interaction of fairness concerns with travel costs can cause the firm to set stable prices, which leads to shortages during high demand. However, if the firm is able to inform customers about the current price before they incur any travel costs, then dynamic pricing with no shortages is optimal even with strong fairness concerns.
Author: Matthew Selove
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Although some firms use dynamic pricing to respond to demand fluctuations, other firms claim that fairness concerns prevent them from raising prices during periods when demand exceeds capacity. This paper explores conditions in which fairness concerns can or cannot cause shortages. In our model, a firm announces a price policy that states its prices during high and low demand, and customers must travel to a venue to learn the current price. We show that the interaction of fairness concerns with travel costs can cause the firm to set stable prices, which leads to shortages during high demand. However, if the firm is able to inform customers about the current price before they incur any travel costs, then dynamic pricing with no shortages is optimal even with strong fairness concerns.
Author: Maxime C. Cohen
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Category :
Languages : en
Pages : 0
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Following the increasing popularity of personalized pricing, there is a growing concern from customers and policy makers regarding fairness considerations. This paper studies the problem of dynamic pricing with unknown demand under two types of fairness constraints: price fairness and demand fairness. For price fairness, the retailer is required to (i) set similar prices for different customer groups (called group fairness) and (ii) ensure that the prices over time for each customer group are relatively stable (called time fairness). We propose an algorithm based on an infrequently-changed upper-confidence-bound (UCB) method, which is proved to yield a near-optimal regret performance. In particular, we show that imposing group fairness does not affect the demand learning problem, in contrast to imposing time fairness. On the flip side, we show that imposing time fairness does not impact the clairvoyant optimal revenue, in contrast to imposing group fairness. For demand fairness, the retailer is required to satisfy that the resulting demand from different customer groups is relatively similar (e.g., the retailer offers a lower price to students to increase their demand to a similar level as non-students). In this case, we design an algorithm adapted from a primal-dual learning framework and prove that our algorithm also achieves a near-optimal performance.
Author:
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ISBN:
Category :
Languages : en
Pages : 76
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Author: James Anton
Publisher:
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Category :
Languages : en
Pages :
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Author: Robert Phillips
Publisher: Stanford University Press
ISBN: 0804781648
Category : Business & Economics
Languages : en
Pages : 470
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Book Description
This is the first comprehensive introduction to the concepts, theories, and applications of pricing and revenue optimization. From the initial success of "yield management" in the commercial airline industry down to more recent successes of markdown management and dynamic pricing, the application of mathematical analysis to optimize pricing has become increasingly important across many different industries. But, since pricing and revenue optimization has involved the use of sophisticated mathematical techniques, the topic has remained largely inaccessible to students and the typical manager. With methods proven in the MBA courses taught by the author at Columbia and Stanford Business Schools, this book presents the basic concepts of pricing and revenue optimization in a form accessible to MBA students, MS students, and advanced undergraduates. In addition, managers will find the practical approach to the issue of pricing and revenue optimization invaluable. Solutions to the end-of-chapter exercises are available to instructors who are using this book in their courses. For access to the solutions manual, please contact
[email protected].
Author: Gary Biglaiser
Publisher:
ISBN:
Category :
Languages : en
Pages : 43
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Author: Tomohisa Okada
Publisher:
ISBN:
Category :
Languages : en
Pages : 17
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This paper explores the effects of the unpredictability of consumers' fairness concerns on monopolistic third-degree price discrimination. We develop a simple repeated game framework to consider the monopolist's pricing strategy in the long run. In contrast to previous studies, we focus on an information disclosure mechanism derived from unpredictability of consumers' fairness concerns: the intensity of the resulting backlash is unknown until firms treat consumers unfairly. Although consumers' fairness concerns tend to lead to uniform pricing even in the absence of fairness unpredictability, this mechanism enhances this tendency and works to sustain uniform pricing in the long run.
Author: Gary Biglaiser
Publisher:
ISBN:
Category : Competition, Imperfect
Languages : en
Pages : 43
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Author: Mark de Berg
Publisher: Springer Science & Business Media
ISBN: 3642157742
Category : Computers
Languages : en
Pages : 603
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Book Description
This book constitutes the proceedings of the 18th Annual European Symposium on Algorithms, held in Liverpool, UK in September 2010.
Author: Florian Englmaier
Publisher:
ISBN:
Category :
Languages : en
Pages :
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