IDEAS home Printed from https://ideas.repec.org/a/ids/ijbexc/v31y2023i4p469-499.html
   My bibliography  Save this article

A dynamic model on the base of text mining for success factors of outsourcing in project-based companies

Author

Listed:
  • Delshad Hoseini
  • Mohsen Shafiei Nikabadi
  • Alireza Moghaddam

Abstract

The purpose of this study is to develop a dynamic model for investigating the effective factors on outsourcing with a hybrid approach. In this research, 500 indexed articles (from 2017 to 2019) have been investigated in the field of outsourcing, by the combination of the K-means algorithm, fuzzy DEMATEL technique, and dynamic modelling (which is the most important aspect of research). The findings are obtained in two stages: identifying factors ('technology and IT', 'purpose', 'motivation', 'innovation', 'human resources', 'creativity', 'benefits and cost') and identifying relationships (knowledge learning is a key element in the success, profitability, development, and enhancement of creativity, and also the 'benefits' and 'success' factors are the most important causal factors, and the 'smart' and 'costs' factors are the least significant factors in outsourcing).

Suggested Citation

  • Delshad Hoseini & Mohsen Shafiei Nikabadi & Alireza Moghaddam, 2023. "A dynamic model on the base of text mining for success factors of outsourcing in project-based companies," International Journal of Business Excellence, Inderscience Enterprises Ltd, vol. 31(4), pages 469-499.
    • Handle: RePEc:ids:ijbexc:v:31:y:2023:i:4:p:469-499
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=135507
    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.

    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:ijbexc:v:31:y:2023:i:4:p:469-499. 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=291 .

    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.