High price or low price? An experimental study on a markdown pricing policy

Abstract This study examines whether strategic customers’ behavioral patterns remain consistent in different pricing scenarios under a markdown pricing policy. These customers’ decision patterns have been widely discussed because they significantly influence the expected monetary output. Contrary to rational assumptions, the behavioral research literature indicates that customers’ behavioral biases manifest in their reference dependency, risk and loss attitudes, and fill rate misperceptions. However, the relationship between behavioral biases and various pricing scenarios has not been carefully examined; accordingly, we conducted laboratory experiments to observe customers’ behavioral performance in a series of pricing scenarios to provide pricing suggestions for sellers. Our experimental results demonstrate that behavioral factors reflecting risk and loss attitudes as well as reference dependency can clearly describe customers’ behavioral biases. Meanwhile, our estimation shows that the degrees of risk and loss attitude are not constant, but depend on price settings: the lower the full price in the initial period, the higher the degrees of aversion to both risk and loss. Given such behavioral patterns, we suggest that sellers should set their full prices lower than the normative value when the fill rate in period two is low, and set them higher than the normative value when the fill rate in period two is high.

[1]  Xuanming Su,et al.  Intertemporal Pricing with Strategic Customer Behavior , 2007, Manag. Sci..

[2]  A. Tversky,et al.  Prospect Theory. An Analysis of Decision Making Under Risk , 1977 .

[3]  Wanshan Zhu,et al.  Decision Biases of Strategic Customers with Private Product‐Value Information: An Experimental Study , 2019, Production and Operations Management.

[4]  J. L. Pinto,et al.  Loss aversion and scale compatibility in two-attribute trade-offs , 2002 .

[5]  A. Tversky,et al.  Advances in prospect theory: Cumulative representation of uncertainty , 1992 .

[6]  Qian Liu,et al.  Pricing and Capacity Rationing with Customer Disappointment Aversion , 2013 .

[7]  Sriram Dasu,et al.  Dynamic pricing when consumers are strategic: Analysis of posted and contingent pricing schemes , 2010, Eur. J. Oper. Res..

[8]  Xuanming Su,et al.  On the Value of Commitment and Availability Guarantees when Selling to Strategic Consumers , 2008, Manag. Sci..

[9]  Anton Ovchinnikov,et al.  Incorporating Customer Behavior into Operational Decisions , 2018, The Handbook of Behavioral Operations.

[10]  Ioana Popescu,et al.  Dynamic Pricing with Loss Averse Consumers and Peak-End Anchoring , 2010, Oper. Res..

[11]  Zuo-Jun Max Shen,et al.  Risk Mitigation Benefit from Backup Suppliers in the Presence of the Horizontal Fairness Concern , 2015, Decis. Sci..

[12]  Ilan Lobel,et al.  Intertemporal Price Discrimination: Structure and Computation of Optimal Policies , 2014, Manag. Sci..

[13]  Peter S. Fader,et al.  Multiattribute Loss Aversion and Reference Dependence: Evidence from the Performing Arts Industry , 2017, Manag. Sci..

[14]  Robert Sugden,et al.  Testing for juxtaposition and event-splitting effects , 1993 .

[15]  Ö. Özer,et al.  Behavioral Issues in Pricing Management , 2011 .

[16]  Jun Li,et al.  Are Consumers Strategic? Structural Estimation from the Air-Travel Industry , 2014, Manag. Sci..

[17]  Felipe Caro,et al.  Clearance Pricing Optimization for a Fast-Fashion Retailer , 2010, Oper. Res..

[18]  Xiaobo Zhao,et al.  Strategic customer behavior facing possible stockout: An experimental study , 2016 .

[19]  Ioana Popescu,et al.  Dynamic Pricing Strategies with Reference Effects , 2007, Oper. Res..

[20]  Yossi Aviv,et al.  Optimal Pricing of Seasonal Products in the Presence of Forward-Looking Consumers , 2008, Manuf. Serv. Oper. Manag..

[21]  Garrett J. van Ryzin,et al.  Revenue Management Under a General Discrete Choice Model of Consumer Behavior , 2004, Manag. Sci..

[22]  Jeff McGill,et al.  Optimal Dynamic Pricing of Perishable Items by a Monopolist Facing Strategic Consumers , 2010 .

[23]  Gérard P. Cachon,et al.  The Value of Fast Fashion: Quick Response, Enhanced Design, and Strategic Consumer Behavior , 2011, Manag. Sci..

[24]  Elena Katok,et al.  Inventory Service-Level Agreements as Coordination Mechanisms: The Effect of Review Periods , 2008, Manuf. Serv. Oper. Manag..

[25]  Garrett J. van Ryzin,et al.  Strategic Capacity Rationing to Induce Early Purchases , 2008, Manag. Sci..

[26]  R. Duncan Luce,et al.  Individual Choice Behavior: A Theoretical Analysis , 1979 .

[27]  Manel Baucells,et al.  Behavioral Anomalies in Consumer Wait-or-Buy Decisions and Their Implications for Markdown Management , 2017 .

[28]  Elena Katok,et al.  Fairness in supply chain contracts: A laboratory study , 2013 .

[29]  Elliot Bendoly,et al.  Are Consumers Really Strategic? Implications from an Experimental Study , 2015 .

[30]  B. Mantin,et al.  Inventory Decisions in the Presence of Strategic Customers: Theory and Behavioral Evidence , 2018, Production and Operations Management.

[31]  P. Drent,et al.  Context dependence of personalities: risk-taking behavior in a social and a nonsocial situation , 2005 .

[32]  Charles A. Holt,et al.  Risk Aversion and Incentive Effects , 2002 .

[33]  Garrett J. van Ryzin,et al.  Strategic Capacity Rationing when Customers Learn , 2011, Manuf. Serv. Oper. Manag..

[34]  Özalp Özer,et al.  Markdown or Everyday Low Price? The Role of Behavioral Motives , 2015, Manag. Sci..

[35]  Mirko Kremer,et al.  Dynamic Pricing in the Presence of Myopic and Strategic Consumers: Theory and Experiment , 2017 .

[36]  A. Tversky,et al.  Prospect Theory : An Analysis of Decision under Risk Author ( s ) : , 2007 .

[37]  Yuri Levin,et al.  Dynamic Pricing in the Presence of Strategic Consumers and Oligopolistic Competition , 2009, Manag. Sci..

[38]  Z. Shen,et al.  Customer Behavior Modeling in Revenue Management and Auctions: A Review and New Research Opportunities , 2007 .

[39]  Amnon Rapoport,et al.  Purchasing Scarce Products Under Dynamic Pricing: An Experimental Investigation , 2014, Manuf. Serv. Oper. Manag..