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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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    References listed on IDEAS

    as
    1. Giovanni Gavetti & Daniel A. Levinthal & Jan W. Rivkin, 2005. "Strategy making in novel and complex worlds: the power of analogy," Strategic Management Journal, Wiley Blackwell, vol. 26(8), pages 691-712, August.
    2. Charles Abramson & Imran S. Currim & Rakesh Sarin, 2005. "An Experimental Investigation of the Impact of Information on Competitive Decision Making," Management Science, INFORMS, vol. 51(2), pages 195-207, February.
    3. Glenn W. Harrison & Morten I. Lau & E. Elisabet Rutström, 2007. "Estimating Risk Attitudes in Denmark: A Field Experiment," Scandinavian Journal of Economics, Wiley Blackwell, vol. 109(2), pages 341-368, June.
    4. John H. Miller & Scott E. Page, 2007. "Social Science in Between, from Complex Adaptive Systems: An Introduction to Computational Models of Social Life," Introductory Chapters, in: Complex Adaptive Systems: An Introduction to Computational Models of Social Life, Princeton University Press.
    5. Michael J. Lenox & Scott F. Rockart & Arie Y. Lewin, 2007. "Interdependency, Competition, and Industry Dynamics," Management Science, INFORMS, vol. 53(4), pages 599-615, April.
    6. Glenn W. Harrison & John A. List, 2004. "Field Experiments," Journal of Economic Literature, American Economic Association, vol. 42(4), pages 1009-1055, December.
    7. Lippman, Steven A & McCall, John J, 1976. "The Economics of Job Search: A Survey: Part I," Economic Inquiry, Western Economic Association International, vol. 14(2), pages 155-189, June.
    8. Fleming, Lee & Sorenson, Olav, 2001. "Technology as a complex adaptive system: evidence from patent data," Research Policy, Elsevier, vol. 30(7), pages 1019-1039, August.
    9. Auerswald, Philip & Kauffman, Stuart & Lobo, Jose & Shell, Karl, 2000. "The production recipes approach to modeling technological innovation: An application to learning by doing," Journal of Economic Dynamics and Control, Elsevier, vol. 24(3), pages 389-450, March.
    10. Herbert A. Simon, 1955. "A Behavioral Model of Rational Choice," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 69(1), pages 99-118.
    11. Jose Apesteguia & Ghazala Azmat & Nagore Iriberri, 2012. "The Impact of Gender Composition on Team Performance and Decision Making: Evidence from the Field," Management Science, INFORMS, vol. 58(1), pages 78-93, January.
    12. Daniel Kahneman, 2003. "Maps of Bounded Rationality: Psychology for Behavioral Economics," American Economic Review, American Economic Association, vol. 93(5), pages 1449-1475, December.
    13. Sylvie Geisendorf, 2010. "Searching NK Fitness Landscapes: On the Trade Off Between Speed and Quality in Complex Problem Solving," Computational Economics, Springer;Society for Computational Economics, vol. 35(4), pages 395-406, April.
    14. John H. Miller & Scott E. Page, 2007. "Complexity in Social Worlds, from Complex Adaptive Systems: An Introduction to Computational Models of Social Life," Introductory Chapters, in: Complex Adaptive Systems: An Introduction to Computational Models of Social Life, Princeton University Press.
    15. Kauffman, Stuart & Lobo, Jose & Macready, William G., 2000. "Optimal search on a technology landscape," Journal of Economic Behavior & Organization, Elsevier, vol. 43(2), pages 141-166, October.
    16. Kollman, Ken & Miller, John H & Page, Scott E, 2000. "Decentralization and the Search for Policy Solutions," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 16(1), pages 102-128, April.
    17. John A. List, 2006. "The Behavioralist Meets the Market: Measuring Social Preferences and Reputation Effects in Actual Transactions," Journal of Political Economy, University of Chicago Press, vol. 114(1), pages 1-37, February.
    18. E. M. Babb & M. A. Leslie & M. D. Van Slyke, 1966. "The Potential of Business-Gaming Methods in Research," The Journal of Business, University of Chicago Press, vol. 39, pages 465-465.
    19. Sendil K. Ethiraj & Daniel Levinthal, 2009. "Hoping for A to Z While Rewarding Only A: Complex Organizations and Multiple Goals," Organization Science, INFORMS, vol. 20(1), pages 4-21, February.
    20. Robert A. Lowe & Arvids A. Ziedonis, 2006. "Overoptimism and the Performance of Entrepreneurial Firms," Management Science, INFORMS, vol. 52(2), pages 173-186, February.
    21. Arundel, Anthony, 2001. "The relative effectiveness of patents and secrecy for appropriation," Research Policy, Elsevier, vol. 30(4), pages 611-624, April.
    22. William Tracy, 2014. "Paradox Lost: The Evolution of Strategies in Selten’s Chain Store Game," Computational Economics, Springer;Society for Computational Economics, vol. 43(1), pages 83-103, January.
    23. Christina Fang & Jeho Lee & Melissa A. Schilling, 2010. "Balancing Exploration and Exploitation Through Structural Design: The Isolation of Subgroups and Organizational Learning," Organization Science, INFORMS, vol. 21(3), pages 625-642, June.
    24. Lippman, Steven A & McCall, John J, 1976. "The Economics of Job Search: A Survey," Economic Inquiry, Western Economic Association International, vol. 14(3), pages 347-368, September.
    25. Jan W. Rivkin, 2000. "Imitation of Complex Strategies," Management Science, INFORMS, vol. 46(6), pages 824-844, June.
    26. Richard M. Burton & Børge Obel, 2011. "Computational Modeling for What-Is, What-Might-Be, and What-Should-Be Studies---And Triangulation," Organization Science, INFORMS, vol. 22(5), pages 1195-1202, October.
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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. Daniel Albert & Stephan Billinger, 2024. "Reproducing and Extending Experiments in Behavioral Strategy with Large Language Models," Papers 2410.06932, arXiv.org.
    3. Friederike Wall, 2021. "Modeling Managerial Search Behavior based on Simon's Concept of Satisficing," Papers 2104.14002, arXiv.org, revised May 2021.
    4. 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.
    5. 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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