IDEAS home Printed from https://ideas.repec.org/a/rss/jnljms/v4i12p2.html
   My bibliography  Save this article

Using Learn and Network Models to Rendering a Conceptual Model for Evaluating the Export Performance of Companies Listed in Tehran Stock Exchange

Author

Listed:
  • Azita Sheraj Sharifi

Abstract

In these research we tried to cognition and presentation a model that determine the role of learn orientation and market orientation based on internal empowerment company to create quality commercial relationship that lead to improvement in export performance in companies listed in Tehran stock exchange. With study of search theoretical framework and different index for organizations export performance evaluation, product expansion and market expansion components considered for export performance evaluation. From effective strategies on performance, learning orientation, market orientation and relationship quality have been selected. At least, with the study of theoretical framework research several hypotheses are formulated. Research method is descriptive- Analytical study, the instrument used for data gathering was a questionnaire. The method for data analysis is structural equation technique. Hypothesis test to obtain the final model, showed, the structural relationships in the model is significant. Values of AGFA, PGFA, RMSEA and GFI represent a low error rate in, measurement. With attention to the suitability of these indicators, measurement model is considered acceptable. Hypothesis test results indicate a positive relationship between hypotheses is confirmed. T- Value chart also has confirmed the relationship between these variables.

Suggested Citation

  • Azita Sheraj Sharifi, 2014. "Using Learn and Network Models to Rendering a Conceptual Model for Evaluating the Export Performance of Companies Listed in Tehran Stock Exchange," International Journal of Management Sciences, Research Academy of Social Sciences, vol. 4(12), pages 582-591.
  • Handle: RePEc:rss:jnljms:v4i12p2
    as

    Download full text from publisher

    File URL: http://rassweb.org/admin/pages/ResearchPapers/Paper%202_1497375285.pdf
    Download Restriction: no
    ---><---

    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:rss:jnljms:v4i12p2. 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: Danish Khalil (email available below). General contact details of provider: http://www.rassweb.org .

    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.