IDEAS home Printed from https://ideas.repec.org/a/wsi/jikmxx/v20y2021i01ns0219649221500027.html
   My bibliography  Save this article

Impact of Interorganisational Learning Factors on the Performance of Micro and Small Businesses

Author

Listed:
  • Abimael Magno do Ouro-Filho

    (Departamento de Secretariado Executivo – DSE, Universidade Federal de Sergipe – UFS, Aracaju, Sergipe, Brazil)

  • Maria Elena Leon Olave

    (#x2020;Departamento de Administração – DAD, Universidade Federal de Sergipe – UFS, Aracaju, Sergipe, Brazil)

  • Ikaro Daniel de Carvalho Barreto

    (#x2021;Programa de Pós-Graduação em Biometria e Estatística Aplicada – PPGBEA, Universidade Federal Rural de Pernambuco – UFRPE, Recife, Pernambuco, Brazil)

Abstract

The aim of this study is to analyse the influence of interorganisational learning factors on the performance of Micro and Small Enterprises (MSEs) participating in a Local Productive Arrangement (LPA) network; specifically, the clothing arrangement located in the city of Santa Cruz do Capibaribe, in the state of Pernambuco, Brazil. Three aspects were analysed in the performance of the MSEs: cooperation, innovation, and market. For this, a quantitative survey method was employed, with a sample of 301 respondents, analysed through the modelling of structural equations of the PLS type. The results indicate a complex model with the variable interorganisational learning characterised as being of second order, as it is filled by first-order variables of reflexive characteristic, which obtained validation in the measurement and structural assumptions. The model suggests that interorganisational learning positively influences the performance of cooperation, innovation, and market of the MSEs that constitute the LPA.

Suggested Citation

  • Abimael Magno do Ouro-Filho & Maria Elena Leon Olave & Ikaro Daniel de Carvalho Barreto, 2021. "Impact of Interorganisational Learning Factors on the Performance of Micro and Small Businesses," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 20(01), pages 1-21, March.
  • Handle: RePEc:wsi:jikmxx:v:20:y:2021:i:01:n:s0219649221500027
    DOI: 10.1142/S0219649221500027
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0219649221500027
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S0219649221500027?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    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:wsi:jikmxx:v:20:y:2021:i:01:n:s0219649221500027. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/jikm/jikm.shtml .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.