Pricing and Inventory Decisions Facing Strategic Customers with Behavioral Preferences

被引:0
作者
Wang, Ruopeng [1 ]
Wang, Jinting [2 ]
Chen, Junlin [2 ]
机构
[1] Beijing Inst Petrochem Technol, Dept Math, Beijing 102617, Peoples R China
[2] Cent Univ Finance & Econ, Sch Management Sci & Engn, Dept Management Sci, Beijing 100081, Peoples R China
基金
中国国家自然科学基金;
关键词
Inventory management; loss-aversion; prospect theory; rational expectation (RE) equilibrium; reference point; LOSS-AVERSE CONSUMERS; PROSPECT-THEORY; RATIONAL-EXPECTATIONS; MARKDOWN; DISCRIMINATION; INFORMATION; DEMAND; DESIGN; PRICES;
D O I
10.1007/s11424-025-3287-4
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
The authors consider a two-period joint inventory and pricing decision problem for a retailer facing strategic customers with behavioral preferences such as reference dependence, loss aversion and risk preferences. The authors develop and analyze a model that accounts for customers' these behavioral preferences as well as value depreciation on the product, and makes predictions on the retailer's optimal decisions. Moreover, the authors demonstrate how the presence of these behavioral preferences and primary parameters will leverage the retailer's optimal decisions. It is revealed that strategic customers' loss aversion behavior could benefit the retailer from pushing up the regular price, the stocking quantity and hence the expected profit. However, customer's value depreciation on the product will drive down these aspects. To alleviate the negative effect of the strategic customers' behavioral preferences, the authors suggest the retailer applying inventory commitment strategy and price guarantee policy, which could increase the retailer's profit beyond the rational expectation equilibrium level in some situations.
引用
收藏
页数:31
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共 52 条
[1]   Pricing and manufacturing decisions when demand is a function of prices in multiple periods [J].
Ahn, Hyun-soo ;
Guemues, Mehmet ;
Kaminsky, Philip .
OPERATIONS RESEARCH, 2007, 55 (06) :1039-1057
[2]   Optimal pricing of seasonal products in the presence of forward-looking consumers [J].
Aviv, Yossi ;
Pazgal, Amit .
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT, 2008, 10 (03) :339-359
[3]   Technical Note-New Results Concerning Probability Distributions with Increasing Generalized Failure Rates [J].
Banciu, Mihai ;
Mirchandani, Prakash .
OPERATIONS RESEARCH, 2013, 61 (04) :925-931
[4]   Newsvendor Selling to Loss-Averse Consumers with Stochastic Reference Points [J].
Baron, Opher ;
Hu, Ming ;
Najafi-Asadolahi, Sami ;
Qian, Qu .
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT, 2015, 17 (04) :456-469
[5]   Behavioral Anomalies in Consumer Wait-or-Buy Decisions and Their Implications for Markdown Management [J].
Baucells, Manel ;
Osadchiy, Nikolay ;
Ovchinnikov, Anton .
OPERATIONS RESEARCH, 2017, 65 (02) :357-378
[6]   Intertemporal Price Discrimination: Structure and Computation of Optimal Policies [J].
Besbes, Omar ;
Lobel, Ilan .
MANAGEMENT SCIENCE, 2015, 61 (01) :92-110
[7]   DURABLE-GOODS MONOPOLISTS [J].
BULOW, JI .
JOURNAL OF POLITICAL ECONOMY, 1982, 90 (02) :314-332
[8]   The Value of Fast Fashion: Quick Response, Enhanced Design, and Strategic Consumer Behavior [J].
Cachon, Gerard P. ;
Swinney, Robert .
MANAGEMENT SCIENCE, 2011, 57 (04) :778-795
[9]   Purchasing, Pricing, and Quick Response in the Presence of Strategic Consumers [J].
Cachon, Gerard P. ;
Swinney, Robert .
MANAGEMENT SCIENCE, 2009, 55 (03) :497-511
[10]   High price or low price? An experimental study on a markdown pricing policy [J].
Chen, Junlin ;
Zhao, Yingshuai .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2020, 284 (01) :240-254