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On the trail of core–periphery patterns in innovation networks: measurements and new empirical findings from the German laser industry

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  • Muhamed Kudic
  • Wilfried Ehrenfeld
  • Toralf Pusch

Abstract

It has been frequently argued that a firm’s location in the core of an industry’s innovation network improves its ability to access information and absorb technological knowledge. The literature has still widely neglected the role of peripheral network positions for innovation processes. In addition to this, little is known about the determinants affecting a peripheral actors’ ability to reach the core. To shed some light on these issues, we have employed a unique longitudinal dataset encompassing the entire population of German laser source manufacturers (LSMs) and laser-related public research organizations (PROs) over a period of more than two decades. The aim of our paper is threefold. First, we analyze the emergence of core–periphery (CP) patterns in the German laser industry. Then, we explore the paths on which LSMs and PROs move from isolated positions toward the core. Finally, we employ non-parametric event history techniques to analyze the extent to which organizational and geographical determinates affect the propensity and timing of network core entries. Our results indicate the emergence and solidification of CP patterns at the overall network level. We also found that the paths on which organizations traverse through the network are characterized by high levels of heterogeneity and volatility. The transition from peripheral to core positions is impacted by organizational characteristics, while an organization’s geographical location does not play a significant role. Copyright Springer-Verlag Berlin Heidelberg 2015

Suggested Citation

  • Muhamed Kudic & Wilfried Ehrenfeld & Toralf Pusch, 2015. "On the trail of core–periphery patterns in innovation networks: measurements and new empirical findings from the German laser industry," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 55(1), pages 187-220, October.
  • Handle: RePEc:spr:anresc:v:55:y:2015:i:1:p:187-220
    DOI: 10.1007/s00168-015-0679-8
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    Cited by:

    1. Andrés Rodríguez‐Pose & Callum Wilkie, 2019. "Innovating in less developed regions: What drives patenting in the lagging regions of Europe and North America," Growth and Change, Wiley Blackwell, vol. 50(1), pages 4-37, March.
    2. Michael Fritsch & Muhamed Kudic, 2022. "Micro dynamics and macro stability in inventor networks," The Journal of Technology Transfer, Springer, vol. 47(2), pages 353-382, April.
    3. Jakob Eder, 2019. "Innovation in the Periphery: A Critical Survey and Research Agenda," International Regional Science Review, , vol. 42(2), pages 119-146, March.
    4. Matthias Mueller & Kristina Bogner & Tobias Buchmann & Muhamed Kudic, 2017. "The effect of structural disparities on knowledge diffusion in networks: an agent-based simulation model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(3), pages 613-634, October.
    5. Gräbner, Claudius & Heinrich, Torsten & Kudic, Muhamed, 2016. "Structuration processes in complex dynamic systems - an overview and reassessment," MPRA Paper 69095, University Library of Munich, Germany.
    6. Dirk Fornahl & Nils Grashof & Alexander Kopka, 2021. "Do not neglect the periphery?! - the emergence and diffusion of radical innovations," Bremen Papers on Economics & Innovation 2102, University of Bremen, Faculty of Business Studies and Economics.

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    Keywords

    C45; D85; O31/O32;
    All these keywords.

    JEL classification:

    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

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