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The Affinity Of Partners Towards The Integration Of Clusters: The Case Of Morelian Smes, La Afinidad De Socios En La Integracion De Cluster: Caso Mipymes Morelianas

Author

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  • Gerardo Gabriel Alfaro Calderon
  • Victor Gerardo Alfaro Garcia

Abstract

This paper presents a grouping process based on the theory of affinities applying fuzzy logic tools. The objective is to group highly similar SMES under a specific confidence level. Results present six groups of highly similar enterprises that could create effective clusters. The originality of the paper resides on the intuitive methodology, matching advantages from Pichat’s Algorithm and fuzzy logic tools in order to decrease uncertainty in the decision making process. The present research tries to shed light on current clustering methods, which are mainly driven by trial and error approaches.

Suggested Citation

  • Gerardo Gabriel Alfaro Calderon & Victor Gerardo Alfaro Garcia, 2015. "The Affinity Of Partners Towards The Integration Of Clusters: The Case Of Morelian Smes, La Afinidad De Socios En La Integracion De Cluster: Caso Mipymes Morelianas," Revista Internacional Administracion & Finanzas, The Institute for Business and Finance Research, vol. 8(7), pages 29-41.
    • Handle: RePEc:ibf:riafin:v:8:y:2015:i:7:p:29-41
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    More about this item

    Keywords

    Affinity; SMEs; Pichat Algorithm; Cluster;
    All these keywords.

    JEL classification:

    • L16 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Industrial Organization and Macroeconomics; Macroeconomic Industrial Structure
    • M14 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Corporate Culture; Diversity; Social Responsibility
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology

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