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Algorithmic Representations of Managerial Search Behavior

Author

Listed:
  • William M. Tracy

    (Rensselaer Polytechnic Institute)

  • Dmitri G. Markovitch

    (Rensselaer Polytechnic Institute)

  • Lois S. Peters

    (Rensselaer Polytechnic Institute)

  • B. V. Phani

    (Indian Institute of Technology)

  • Deepu Philip

    (Indian Institute of Technology)

Abstract

We use targeted behavioral experiments to test the extent to which greedy algorithms replicate search behavior. Many simulation models use greedy algorithms to represent a firm’s trial-and-error based exploration (i.e., backward-looking search). This implies that managers always reject changes that decrease performance relative to the status quo. Although we observe significant heterogeneity in backward-looking search behavior, over 50 % of our subjects deviate from greedy search behavior by occasionally preserving performance-decreasing changes. The likelihood of such preservation was inversely related to the magnitude of the performance decrease. While search behavior is likely context specific, our analysis suggests that non-greedy firm search cannot be dismissed outright. Substituting non-greedy algorithms for greedy ones will alter the behavior of some simulation models used in economic research. We recommend that future work in this area report whether key findings are dependent on the use of greedy or non-greedy search algorithms. We also suggest that researchers explicitly discuss which algorithm best represents backward-looking search in the phenomenon under study.

Suggested Citation

  • William M. Tracy & Dmitri G. Markovitch & Lois S. Peters & B. V. Phani & Deepu Philip, 2017. "Algorithmic Representations of Managerial Search Behavior," Computational Economics, Springer;Society for Computational Economics, vol. 49(3), pages 343-361, March.
  • Handle: RePEc:kap:compec:v:49:y:2017:i:3:d:10.1007_s10614-015-9559-7
    DOI: 10.1007/s10614-015-9559-7
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    Cited by:

    1. Friederike Wall, 2023. "Modeling managerial search behavior based on Simon’s concept of satisficing," Computational and Mathematical Organization Theory, Springer, vol. 29(2), pages 265-299, June.
    2. Friederike Wall, 2021. "Modeling Managerial Search Behavior based on Simon's Concept of Satisficing," Papers 2104.14002, arXiv.org, revised May 2021.
    3. Farid Anvari & Stephan Billinger & Pantelis P. Analytis & Vithor Rosa Franco & Davide Marchiori, 2024. "Testing the convergent validity, domain generality, and temporal stability of selected measures of people’s tendency to explore," Nature Communications, Nature, vol. 15(1), pages 1-23, December.
    4. Stephan Billinger & Kannan Srikanth & Nils Stieglitz & Terry R. Schumacher, 2021. "Exploration and exploitation in complex search tasks: How feedback influences whether and where human agents search," Strategic Management Journal, Wiley Blackwell, vol. 42(2), pages 361-385, February.

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