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Decision Biases in Revenue Management: Some Behavioral Evidence
Author(s) -
J. Neil Bearden,
Ryan O. Murphy,
Am Rapoport
Publication year - 2008
Publication title -
manufacturing and service operations management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 7.372
H-Index - 83
eISSN - 1526-5498
pISSN - 1523-4614
DOI - 10.1287/msom.1080.0229
Subject(s) - revenue , revenue management , heuristic , microeconomics , economics , simple (philosophy) , decision problem , optimal decision , computer science , business , operations research , finance , mathematics , decision tree , artificial intelligence , philosophy , epistemology , programming language
We study a problem of selling a fixed number of goods over a finite and known horizon. After presenting a procedure for computing optimal decision policies and some numerical results of a simple heuristic policy for the problem, we describe results from three experiments involving financially motivated subjects. The experiments reveal that decision makers employ decision policies of the same form of the optimal policy. However, they show systematic biases to demand too much when they have many units to sell and too little when they have few to sell, resulting in significant revenue losses.behavioral operations, revenue management, dynamic pricing, decision bias, heuristics

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