IDEAS home Printed from https://ideas.repec.org/p/wpa/wuwpco/0405009.html
   My bibliography  Save this paper

Imperfect Local Search Strategies on Technology Landscapes: Satisficing, Deliberate Experimentation and Memory Dependence

Author

Listed:
  • Karén Hovhannisian

    (DISA, University of Trento)

Abstract

This paper contributes to the recent stream of literature on NK Model’s applications to the field of technological evolution. It is argued that while the model has a great explanatory potential in economics proper, its behavioral foundations are still maladapted for treatment of purportive decision-making strategies for technological innovation. Concentrating on the decision rule for accepting novelties, we first analyze the consequences of intentional and unintentional imprecision in following hill-climbing strategy, highlighting the interplay between rigidity and deliberate experimentation. Building on Simon’s insights on satisficing behavior and designing without final goals we build a simulative model that provides a possibility to compare strategies differing in the desired level of imprecision. Secondly, we shift our attention to the question of organizational memory, analyzing in a simulation setting a fully memory dependent and a fully memory independent innovation-related strategies. The results confirm that from the one hand up to a certain level “imperfection” of rule-following behavior is a virtue rather than a threat, while from the other, that past successes can preclude adaptability of the firm, while disregarding such successes can be very risky.

Suggested Citation

  • Karén Hovhannisian, 2004. "Imperfect Local Search Strategies on Technology Landscapes: Satisficing, Deliberate Experimentation and Memory Dependence," Computational Economics 0405009, University Library of Munich, Germany.
  • Handle: RePEc:wpa:wuwpco:0405009
    Note: Type of Document - pdf; pages: 39
    as

    Download full text from publisher

    File URL: https://econwpa.ub.uni-muenchen.de/econ-wp/comp/papers/0405/0405009.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Weitzman, Martin L, 1979. "Optimal Search for the Best Alternative," Econometrica, Econometric Society, vol. 47(3), pages 641-654, May.
    2. Roberts, Kevin & Weitzman, Martin L, 1981. "Funding Criteria for Research, Development, and Exploration Projects," Econometrica, Econometric Society, vol. 49(5), pages 1261-1288, September.
    3. Jan W. Rivkin & Nicolaj Siggelkow, 2003. "Balancing Search and Stability: Interdependencies Among Elements of Organizational Design," Management Science, INFORMS, vol. 49(3), pages 290-311, March.
    4. James G. March, 1991. "Exploration and Exploitation in Organizational Learning," Organization Science, INFORMS, vol. 2(1), pages 71-87, February.
    5. David J. TEECE, 2008. "Profiting from technological innovation: Implications for integration, collaboration, licensing and public policy," World Scientific Book Chapters,in: The Transfer And Licensing Of Know-How And Intellectual Property Understanding the Multinational Enterprise in the Modern World, chapter 5, pages 67-87 World Scientific Publishing Co. Pte. Ltd..
    6. Koen Frenken & Luigi Marengo & Marco Valente, 1999. "Interdependencies, nearly-decomposability and adaption," CEEL Working Papers 9903, Cognitive and Experimental Economics Laboratory, Department of Economics, University of Trento, Italia.
    7. Jason Potts, 2000. "The New Evolutionary Microeconomics," Books, Edward Elgar Publishing, number 2258.
    8. Jose Lobo & William G. Macready, 1999. "Landscapes: A Natural Extension of Search Theory," Working Papers 99-05-037, Santa Fe Institute.
    9. Vishwanath, Tara, 1992. "Parallel Search for the Best Alternative," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 2(4), pages 495-507, October.
    10. Daniel A. Levinthal, 1997. "Adaptation on Rugged Landscapes," Management Science, INFORMS, vol. 43(7), pages 934-950, July.
    11. Levinthal, Daniel & March, James G., 1981. "A model of adaptive organizational search," Journal of Economic Behavior & Organization, Elsevier, vol. 2(4), pages 307-333, December.
    12. 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.
    13. Herbert A. Simon, 1996. "The Sciences of the Artificial, 3rd Edition," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262691914.
    14. Bennett Levitan & Stuart Kauffman, 1995. "Adaptive Walks with Noisy Fitness Measurements," Working Papers 95-04-039, Santa Fe Institute.
    15. Stuart Kauffman & William G. Macready & Emily Dickinson, 1994. "Divide to Coordinate: Coevolutionary Problem Solving," Working Papers 94-06-031, Santa Fe Institute.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Karén Hovhannisian & Marco Valente, 2005. "Modeling Directed Local Search Strategies on Technology," Computational Economics 0507001, EconWPA.
    2. Karén Hovhannissian & Marco Valente, 2004. "Modeling Directed Local Search Strategies on Technology Landscapes: Depth and Breadth," ROCK Working Papers 028, Department of Computer and Management Sciences, University of Trento, Italy, revised 17 Jun 2008.
    3. Valente Houhannisian, 2004. "Modeling Directod Local Search Strategies on Technology Landscapes and Breadth," Quaderni DISA 091, Department of Computer and Management Sciences, University of Trento, Italy, revised 17 Jun 2008.

    More about this item

    Keywords

    NK Model; Technology Landscape; Satisficing; Local Search; Simulation Analysis;

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wpa:wuwpco:0405009. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (EconWPA). General contact details of provider: https://econwpa.ub.uni-muenchen.de .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.