IDEAS home Printed from https://ideas.repec.org/p/mse/wpsorb/r05040.html
   My bibliography  Save this paper

Exploration and exploitation strategies. What kind of analytical models?

Author

Listed:

Abstract

This paper gives some insights related to the combination of exploration and exploitation behaviors. A recurrent question for firms deals with this blend of exploration and exploitation mechanisms. Firms are engaged in new activities like research and at the same time in more routine ones like development and production. Thus, they should find a satisfying arrangement between exploitation. But in order to do that, they should better understand their working. This paper analyzes adaptive systems through exploration and exploitation behaviors of firms. In order to better understand the temporal articulation of those behaviors, we refer to a mapping representation of search processes using NK models (Kauffman, 1993)

Suggested Citation

  • Nadia Jacoby, 2005. "Exploration and exploitation strategies. What kind of analytical models?," Cahiers de la Maison des Sciences Economiques r05040, Université Panthéon-Sorbonne (Paris 1).
  • Handle: RePEc:mse:wpsorb:r05040
    as

    Download full text from publisher

    File URL: https://halshs.archives-ouvertes.fr/halshs-00194719
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Marengo, Luigi, et al, 2000. "The Structure of Problem-Solving Knowledge and the Structure of Organizations," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 9(4), pages 757-788, December.
    2. James G. March, 1991. "Exploration and Exploitation in Organizational Learning," Organization Science, INFORMS, vol. 2(1), pages 71-87, February.
    3. 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.
    4. Marco Valente, 1998. "Laboratory for Simulation Development," DRUID Working Papers 98-5, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.
    5. Masahiko Aoki, 2013. "Horizontal vs. Vertical Information Structure of the Firm," Chapters, in: Comparative Institutional Analysis, chapter 5, pages 57-58, Edward Elgar Publishing.
    6. Raymond Vernon, 1966. "International Investment and International Trade in the Product Cycle," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 80(2), pages 190-207.
    7. G. Dosi & D. Teece & S. Winter, 1990. "Les frontières des entreprises : vers une théorie de la cohérence de la grande entreprise," Revue d'Économie Industrielle, Programme National Persée, vol. 51(1), pages 238-254.
    8. Daniel A. Levinthal, 1997. "Adaptation on Rugged Landscapes," Management Science, INFORMS, vol. 43(7), pages 934-950, July.
    9. Abernathy, William J. & Clark, Kim B., 1985. "Innovation: Mapping the winds of creative destruction," Research Policy, Elsevier, vol. 14(1), pages 3-22, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nadia Jacoby, 2005. "Exploration and exploitation strategies. What kind of analytical models? [Stratégies d'exploration et exploitation. Quel modèle analytique ?]," Post-Print halshs-00194719, HAL.
    2. Khraisha, Tamer, 2020. "Complex economic problems and fitness landscapes: Assessment and methodological perspectives," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 390-407.
    3. Marco Valente, 2014. "An NK-like model for complexity," Journal of Evolutionary Economics, Springer, vol. 24(1), pages 107-134, January.
    4. 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.
    5. Jatinder S. Sidhu & Harry R. Commandeur & Henk W. Volberda, 2007. "The Multifaceted Nature of Exploration and Exploitation: Value of Supply, Demand, and Spatial Search for Innovation," Organization Science, INFORMS, vol. 18(1), pages 20-38, February.
    6. Gatti, Corrado & Volpe, Loredana & Vagnani, Gianluca, 2015. "Interdependence among productive activities: Implications for exploration and exploitation," Journal of Business Research, Elsevier, vol. 68(3), pages 711-722.
    7. Roberta Patalano, 2007. "Mind-Dependence. The Past in the Grip of the Present," Journal of Bioeconomics, Springer, vol. 9(2), pages 85-107, August.
    8. Lichtenthaler, Ulrich, 2010. "Determinants of proactive and reactive technology licensing: A contingency perspective," Research Policy, Elsevier, vol. 39(1), pages 55-66, February.
    9. Karén Hovhannisian, 2004. "Imperfect Local Search Strategies on Technology Landscapes: Satisficing, Deliberate Experimentation and Memory Dependence," Computational Economics 0405009, University Library of Munich, Germany.
    10. Koen Frenken & Alessandro Nuvolari, 2004. "Entropy statistics as a framework to analyse technological evolution," Chapters, in: John Foster & Werner Hölzl (ed.), Applied Evolutionary Economics and Complex Systems, chapter 5, Edward Elgar Publishing.
    11. 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.
    12. Manuel Portugal Ferreira & Sungu Armagan & Dan Li, 2007. "Vertical Integration For Full Outsourcing: Growth And Internationalization Of A Portuguese Packaging Firm," Working Papers 4, globADVANTAGE, Polytechnic Institute of Leiria.
    13. Gino Cattani & Adrian E. Tschoegl, 2002. "An Evolutionary View of Internationalization: Chase Manhattan Bank, 1917 to 1996," Center for Financial Institutions Working Papers 02-37, Wharton School Center for Financial Institutions, University of Pennsylvania.
    14. Alessandro Marino & Paolo Aversa & Luiz Mesquita & Jaideep Anand, 2015. "Driving Performance via Exploration in Changing Environments: Evidence from Formula One Racing," Organization Science, INFORMS, vol. 26(4), pages 1079-1100, August.
    15. repec:dau:papers:123456789/3109 is not listed on IDEAS
    16. Juha Uotila, 2018. "Punctuated equilibrium or ambidexterity: dynamics of incremental and radical organizational change over time," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(1), pages 131-148.
    17. Koen Frenken & Stefan Mendritzki, 2012. "Optimal modularity: a demonstration of the evolutionary advantage of modular architectures," Journal of Evolutionary Economics, Springer, vol. 22(5), pages 935-956, November.
    18. Jensen, Peter D. Ørberg & Larsen, Marcus M. & Pedersen, Torben, 2013. "The organizational design of offshoring: Taking stock and moving forward," Journal of International Management, Elsevier, vol. 19(4), pages 315-323.
    19. Karén Hovhannisian & Marco Valente, 2005. "Modeling Directed Local Search Strategies on Technology," Computational Economics 0507001, University Library of Munich, Germany.
    20. Giovanni Dosi & Daniel A. Levinthal & Luigi Marengo, 2003. "Bridging contested terrain: linking incentive-based and learning perspectives on organizational evolution," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 12(2), pages 413-436, April.
    21. 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.

    More about this item

    Keywords

    Evolutionary approaches of firms; exploration and exploitation behaviors; NK models;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • L21 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Business Objectives of the Firm

    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:mse:wpsorb:r05040. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Lucie Label (email available below). General contact details of provider: https://edirc.repec.org/data/msep1fr.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.