Theory and Decision

, Volume 86, Issue 1, pp 123–141 | Cite as

The complexity of shelflisting

  • Yongjie Yang
  • Dinko DimitrovEmail author


Optimal shelflisting invites profit maximization to become sensitive to the ways in which purchasing decisions are order-dependent. We study the computational complexity of the corresponding product arrangement problem when consumers are either rational maximizers, use a satisficing procedure, or apply successive choice. The complexity results we report are shown to crucially depend on the size of the top cycle in consumers’ preferences over products and on the direction in which alternatives on the shelf are encountered.


Bounded rationality Choice from lists Computational complexity Product arrangement Top cycle 



We are grateful to two anonymous referees for their helpful comments and suggestions.


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© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Chair of Economic TheorySaarland UniversitySaarbrückenGermany

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