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Knowledge Integration and Network Formation

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  • Müge Ozman

Abstract

In this paper, we highlight how inter-firm collaboration networks are influenced by the knowledge composition of goods in an industry. For this purpose, we carry out an agent based simulation study in which firms integrate their competencies under different knowledge base regimes. In this way networks form. The results reveal that, knowledge regime significantly influences the network structure, and interaction among firms is very intensive when the products are specialized but also have common knowledge among them.

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  • Müge Ozman, 2006. "Knowledge Integration and Network Formation," Working Papers of BETA 2006-06, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    • Handle: RePEc:ulp:sbbeta:2006-06
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    Cited by:

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    2. Lee, Amy H.I. & Chen, Hsing Hung & Chen, Silu, 2015. "Suitable organization forms for knowledge management to attain sustainable competitive advantage in the renewable energy industry," Energy, Elsevier, vol. 89(C), pages 1057-1064.
    3. 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.
    4. Jalal EL OUARDIGHI & Rabija SOMUN-KAPETANOVIC, 2006. "Convergence des contributions aux inégalités de richesse dans le développement des pays européens," Working Papers of BETA 2006-19, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    5. Lorenzo Zirulia, 2023. "Path dependence in evolving R&D networks," Journal of Evolutionary Economics, Springer, vol. 33(1), pages 149-177, January.
    6. A H I Lee & H H Chen & H-Y Kang, 2009. "Operations management of new project development: innovation, efficient, effective aspects," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(6), pages 797-809, June.
    7. Kaur, Sarabjot & Gupta, Shivam & Singh, Sanjay Kumar & Perano, Mirko, 2019. "Organizational ambidexterity through global strategic partnerships: A cognitive computing perspective," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 43-54.
    8. Wu, Haizhen & Han, Zhao'an & Zhou, Yong, 2021. "Optimal degree of openness in open innovation: A perspective from knowledge acquisition & knowledge leakage," Technology in Society, Elsevier, vol. 67(C).
    9. Tapas K. Mishra, 2006. "A Further Look into the Demography-based GDP Forecasting Method," Working Papers of BETA 2006-17, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    10. 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.
    11. Schön, Benjamin & Pyka, Andreas, 2012. "A taxonomy of innovation networks," FZID Discussion Papers 42-2012, University of Hohenheim, Center for Research on Innovation and Services (FZID).
    12. Rachel Levy & Paul Muller, 2006. "Do academic laboratories correspond to scientific communities? Evidence from a large European university," Working Papers of BETA 2006-15, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    13. 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.

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