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Network analysis and business networks

Author

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  • Maureen Kilkenny
  • Nerys Fuller-Love

Abstract

The most common definition of 'network' in the business literature focuses on the ties or relations that one entity has with various other entities, abstracting from the ties among those other entities or with others not directly tied to the business of interest. In contrast, economists use a definition based on graph theory that has proven useful in a wide variety of fields (physics, engineering, sociology, economics, biology, etc). In that tradition, a network is a set of entities and the relations between all elements of the set. A fraction of the business literature applies the techniques based on the graph-theoretic definition of networks, known as social network analysis. This paper discusses some exemplary business network analyses and explains additional insights that could be obtained by applying graph-theoretic approaches. The conclusions drawn from this paper illustrate how the network structure affects the market power of the members, depending on whether the transactor has an alternative. The weak links form bridges to other networks and therefore provide alternatives which can reduce market power. This paper identifies the relevance of social network analysis in the social sciences in order to provide a better understanding of business networks.

Suggested Citation

  • Maureen Kilkenny & Nerys Fuller-Love, 2014. "Network analysis and business networks," International Journal of Entrepreneurship and Small Business, Inderscience Enterprises Ltd, vol. 21(3), pages 303-316.
  • Handle: RePEc:ids:ijesbu:v:21:y:2014:i:3:p:303-316
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    Citations

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    Cited by:

    1. Jean-Pascal Bassino & Pablo Jensen & Matteo Morini, 2017. "Network analysis of Japanese global business using quasi-exhaustive micro-data for Japanese overseas subsidiaries," Papers 1707.05699, arXiv.org.
    2. Marc König & Manon Enjolras & Christina Ungerer & Mauricio Camargo & Guido Baltes, 2022. "Evaluation of tech ventures' evolving business models: rules for performance-related classification," Post-Print hal-03685241, HAL.
    3. Piermichele La Sala & Raffaele Silvestri & Emilia Lamonaca & Nicola Faccilongo, 2017. "Le capacit? relazionali quali risorse critiche per la creazione di valore nella filiera vitivinicola lucana," Economia agro-alimentare, FrancoAngeli Editore, vol. 19(3), pages 383-398.

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