IDEAS home Printed from
   My bibliography  Save this paper

Network Formation and Strategic Firm Behaviour to Explore and Exploit


  • Muge Ozman


The aim of this paper is to investigate the effect of technological opportunities and knowledge tacitness on inter-firm network formation, under two different industry regimes. In the first regime environment is stable and the aim of firms is to exploit knowledge. In this case, they attribute more value to repeated interactions with geographically close firms. In the second regime, there is environmental turbulence, which increases the value of access to novel information from distant partners for exploration. The question addressed is, under these regimes how do technological opportunities and knowledge tacitness influence structure of networks? The main contribution of the paper different from previous work is that it explicitly models the effect of history between two firms on networks that form. A simulation model is carried out where firms select partners and learn from them, which further shapes their selection process. The results reveal that in both regimes richer technological opportunities and higher tacitness generates local and global star firms depending on the parameter range.

Suggested Citation

  • Muge Ozman, 2007. "Network Formation and Strategic Firm Behaviour to Explore and Exploit," Working Papers of BETA 2007-07, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
  • Handle: RePEc:ulp:sbbeta:2007-07

    Download full text from publisher

    File URL:
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    1. Cowan, R. & Jonard, N., 2003. "The dynamics of collective invention," Journal of Economic Behavior & Organization, Elsevier, vol. 52(4), pages 513-532, December.
    2. Cowan, Robin & Jonard, Nicolas & Özman, Müge, 2003. "Knowledge Dynamics in a Network Industry," Research Memorandum 003, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
    3. Joel A. C. Baum & Andrew V. Shipilov & Tim J. Rowley, 2003. "Where do small worlds come from?," Industrial and Corporate Change, Oxford University Press, vol. 12(4), pages 697-725, August.
    Full references (including those not matched with items on IDEAS)


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

    Cited by:

    1. Estelle Dhont-Peltrault & Etienne Pfister, 2007. "R&D cooperation versus R&D subcontracting: empirical evidence from French survey data," Working Papers of BETA 2007-17, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    2. Gisèle Umbhauer, 2007. "De l’amiante au chrysotile, un glissement stratégique dans la désinformation," Working Papers of BETA 2007-15, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    3. Luca Iandoli & Elio Marchione & Cristina Ponsiglione & Giuseppe Zollo, 2014. "Knowledge sharing and network emergence in small firm clusters: an agent-based model of industrial districts," Chapters,in: Agglomeration, Clusters and Entrepreneurship, chapter 4, pages 66-84 Edward Elgar Publishing.
    4. Meixing DAI, 2007. "A two-pillar strategy to keep inflation expectations at bay: A basic theoretical framework," Working Papers of BETA 2007-20, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    5. Meixing DAI & Moïse SIDIROPOULOS & Eleftherios SPYROMITROS, 2007. "La transparence de la politique monétaire et la dynamique des marchés financiers," Working Papers of BETA 2007-19, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    6. Li Qin & Eleftherios Spyromitros & Moïse Sidiropoulos, 2007. "Monetary Policy with Uncertain Central Bank Preferences for Robustness," Working Papers of BETA 2007-23, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    7. Luca Iandoli & Cristina Ponsiglione & Elio Marchione & Giuseppe Zollo, 2012. "Knowledge exchange processes in Industrial Districts and the emergence of networks," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(2), pages 231-250, June.
    8. Sofia Pessoa e Costa & Stéphane Robin, 2007. "The Impact Of Training Programmes On Wages In France: An Evaluation Of The “Qualifying Contract” Using Propensity Scores," Working Papers of BETA 2007-18, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    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:ulp:sbbeta:2007-07. 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: (). General contact details of provider: .

    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.