IDEAS home Printed from https://ideas.repec.org/a/ids/ijisen/v28y2018i4p468-493.html
   My bibliography  Save this article

Ranking of companies regarding the effective factors on technology transfer using FAHP and fuzzy TOPSIS techniques

Author

Listed:
  • Shima Arabzadeh

Abstract

The purpose of this research is to realise how organisations have been sustaining their growth through applying technology transfer factors. Regarding the thematic nature of a research model, experts' opinion of the oil industry and companies in the oil industry have been examined in the current study which included: 1) oil pipeline and telecommunication company; 2) oil products distribution company; 3) national gas company in Semnan and Khorasan province, all have been brought for this research as a statistic population. The results obtained from both methods indicate that the oil pipeline and telecommunication company are more important than the national gas company, and the oil product distribution company. The results obtained from fuzzy AHP technique, according to the technology transfer factors, indicate that the technological feature is of most importance for the oil industry than the organisational feature, personnel feature, and industrial feature. According to the technological feature scale, it is concluded that diffusion is the most important factor among the other factors.

Suggested Citation

  • Shima Arabzadeh, 2018. "Ranking of companies regarding the effective factors on technology transfer using FAHP and fuzzy TOPSIS techniques," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 28(4), pages 468-493.
  • Handle: RePEc:ids:ijisen:v:28:y:2018:i:4:p:468-493
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=90447
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tsung-Yu Chou & Yen-Ting Chen, 2020. "Applying Fuzzy AHP and TOPSIS Method to Identify Key Organizational Capabilities," Mathematics, MDPI, vol. 8(5), pages 1-16, May.

    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:ids:ijisen:v:28:y:2018:i:4:p:468-493. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=188 .

    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.