Behavioral Consequences of Dynamic Pricing
Behavioral Consequences of Dynamic Pricing

Author: David Prakash

Publisher: BoD – Books on Demand

Published: 2022-07-28

Total Pages: 156

ISBN-13: 3754359932

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Digital technologies are driving the application of dynamic pricing. Today, this pricing strategy is used not only for perishable products such as flights or hotel rooms, but for almost any product or service category. With dynamic pricing, retailers frequently adjust their prices over time to respond to factors such as demand, their supply and that of competitors, or the time of sale. Additionally, dynamic pricing allows retailers to take advantage of a large share of consumers' willingness to pay while avoiding losses from unsold products. Ultimately, this can lead to an increase in revenue and profit. However, the application of dynamic pricing comes with great challenges. In addition to the technological implementation, companies have to take into account that dynamic pricing can cause complex and unintended behavioral consequences on the consumer side. The key objective of this dissertation is to provide a deeper understanding of the impact of dynamic pricing on consumer behavior. To this end, this dissertation presents insights from four perspectives. First, how reference prices as a critical component in purchase decisions are operationalized. Second, how customers search for products priced dynamically, differentiated by business and private customers, as well as by different devices used for the search. Third, whether and how dynamic pricing influences the impact of internal reference prices on purchase decisions. Finally, this dissertation demonstrates that consumers perceive price changes as personalized in different purchase contexts, leading to reduced perceptions of fairness and undesirable behavioral consequences.

Supermodularity and Complementarity
Supermodularity and Complementarity

Author: Donald M. Topkis

Publisher: Princeton University Press

Published: 2011-02-11

Total Pages: 285

ISBN-13: 140082253X

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The economics literature is replete with examples of monotone comparative statics; that is, scenarios where optimal decisions or equilibria in a parameterized collection of models vary monotonically with the parameter. Most of these examples are manifestations of complementarity, with a common explicit or implicit theoretical basis in properties of a super-modular function on a lattice. Supermodular functions yield a characterization for complementarity and extend the notion of complementarity to a general setting that is a natural mathematical context for studying complementarity and monotone comparative statics. Concepts and results related to supermodularity and monotone comparative statics constitute a new and important formal step in the long line of economics literature on complementarity. This monograph links complementarity to powerful concepts and results involving supermodular functions on lattices and focuses on analyses and issues related to monotone comparative statics. Don Topkis, who is known for his seminal contributions to this area, here presents a self-contained and up-to-date view of this field, including many new results, to scholars interested in economic theory and its applications as well as to those in related disciplines. The emphasis is on methodology. The book systematically develops a comprehensive, integrated theory pertaining to supermodularity, complementarity, and monotone comparative statics. It then applies that theory in the analysis of many diverse economic models formulated as decision problems, noncooperative games, and cooperative games.

Dynamic Pricing in the Presence of Strategic Consumers
Dynamic Pricing in the Presence of Strategic Consumers

Author: Mirko Kremer

Publisher:

Published: 2015

Total Pages: 39

ISBN-13:

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We investigate the impact of strategic consumer behavior on retailers' dynamic pricing decisions. We present a stylized two-period model, and test the equilibrium predictions in a set of behavioral experiments in which human subjects played the role of pricing managers. Our main insight is that relative to equilibrium predictions, subjects underprice in the main selling season. Consequently, they sell more inventory and obtain higher revenue in that season. However, by doing so they significantly limit their ability to generate revenue in the markdown season, which, in the presence of strategic consumers is a major source of revenue.

The Ends Game
The Ends Game

Author: Marco Bertini

Publisher: MIT Press

Published: 2022-01-11

Total Pages: 197

ISBN-13: 0262542773

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How companies like Dollar Shave Club and Rent the Runway rewrite the rules of commerce by pursuing outcomes rather than products and services. The seventh book in the Management on the Cutting Edge series—for business professionals looking to do deliver excellent customer service while maximizing value and revenue. Would you rather pay for healthcare or for better health? For school or education? For groceries or nutrition? A car or transportation? A theater performance or entertainment? In The Ends Game, Marco Bertini and Oded Koenigsberg describe how some firms are rewriting the rules of commerce: instead of selling the “means” (their products and services), they adopt innovative revenue models to pursue “ends” (actual outcomes). They examine companies such as: • Dollar Shave Club • Rent the Runway • Netflix • Spotify • Michelin • Adobe • Pearson • And many more! They show that paying by the pill, semester, food item, vehicle, or show does not necessarily reflect the value that customers actually derive from their purchases. Revenue models anchored on the ownership of products, they argue, are patently inferior.

The Effect of Dynamic Pricing and Revenue Management on Agent Behavior and Customer Perception
The Effect of Dynamic Pricing and Revenue Management on Agent Behavior and Customer Perception

Author: Xingwei Lü

Publisher:

Published: 2018

Total Pages: 208

ISBN-13:

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My dissertation extends the traditional fields of revenue management and dynamic pricing to newer markets. Specifically, my first two chapters explore the revenue management strategies and their impacts in the airline industry in the presence of loyalty programs. The first chapter solves the optimal revenue management algorithms when the firm is rewarding frequent customers with free capacity. Using a game-theoretic Littlewood model, we show that limiting award capacity can increase profits by enhancing loyalty award values; airlines can benefit from transitioning from mileage-based programs to revenue-based programs by simplifying its revenue management algorithm and allowing 100% award availability. The second chapter investigates customers' evaluations of loyalty program points. By fitting a Multinomial Logit model on DB1B data set, we calibrate customers' valuations for loyalty points at the issuance and redemption. We have two main conclusions: consumers are rational about the value of miles at issuance, but underestimate and overspend miles at redemption; higher award availability and more award choices lead to higher values of Loyalty points. Finally, my third chapter examines the impact of dynamic pricing in the ride-sharing economy. By using actual Uber pricing and partner data, the paper shows that ride-sharing platforms can efficiently signal market conditions, stimulate desirable agents' behavior, and reduce marketplace frictions through dynamic pricing.

Dynamic Allocation and Pricing
Dynamic Allocation and Pricing

Author: Alex Gershkov

Publisher: MIT Press

Published: 2014-12-12

Total Pages: 209

ISBN-13: 0262028409

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A new approach to dynamic allocation and pricing that blends dynamic paradigms from the operations research and management science literature with classical mechanism design methods. Dynamic allocation and pricing problems occur in numerous frameworks, including the pricing of seasonal goods in retail, the allocation of a fixed inventory in a given period of time, and the assignment of personnel to incoming tasks. Although most of these problems deal with issues treated in the mechanism design literature, the modern revenue management (RM) literature focuses instead on analyzing properties of restricted classes of allocation and pricing schemes. In this book, Alex Gershkov and Benny Moldovanu propose an approach to optimal allocations and prices based on the theory of mechanism design, adapted to dynamic settings. Drawing on their own recent work on the topic, the authors describe a modern theory of RM that blends the elegant dynamic models from the operations research (OR), management science, and computer science literatures with techniques from the classical mechanism design literature. Illustrating this blending of approaches, they start with well-known complete information, nonstrategic dynamic models that yield elegant explicit solutions. They then add strategic agents that are privately informed and then examine the consequences of these changes on the optimization problem of the designer. Their sequential modeling of both nonstrategic and strategic logic allows a clear picture of the delicate interplay between dynamic trade-offs and strategic incentives. Topics include the sequential assignment of heterogeneous objects, dynamic revenue optimization with heterogeneous objects, revenue maximization in the stochastic and dynamic knapsack model, the interaction between learning about demand and dynamic efficiency, and dynamic models with long-lived, strategic agents.