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The complexity of shelflisting

Author

Listed:
  • Yongjie Yang

    (Saarland University)

  • Dinko Dimitrov

    (Saarland University)

Abstract

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.

Suggested Citation

  • Yongjie Yang & Dinko Dimitrov, 2019. "The complexity of shelflisting," Theory and Decision, Springer, vol. 86(1), pages 123-141, February.
    • Handle: RePEc:kap:theord:v:86:y:2019:i:1:d:10.1007_s11238-018-9675-7
    DOI: 10.1007/s11238-018-9675-7
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    References listed on IDEAS

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