IDEAS home Printed from https://ideas.repec.org/a/ids/ijient/v4y2017i3p243-260.html
   My bibliography  Save this article

Investigation and measurement of effective factors of information technology solutions on customer relationship management with fuzzy logic approach

Author

Listed:
  • Sajjad Shokouhyar
  • Banafsheh Ataafarin
  • Esmaeil Tavassoli

Abstract

Today, many managers tend to be a profitable investment on information technology to improve relationship with their customers. The literature review reveals that a large number of social and managerial parameters proposed but an integrated model missed that directly focus on effective factors of IT in improving communication with customers. In this study, those factors extracted from literature and known factors investigated and analysed according to developed model. At the first level of the model placed four criteria and at the second level placed 13 criteria. Then, by using fuzzy analytical hierarchy process (FAHP) technique, IT effective factors on CRM ranked and analysed. The developed model and management solutions provide guidelines about which improvements in IT aspects should be noted in development of their CRM. Finally, the proposed model examined through an illustrative case study from CRM solution in the banking industry.

Suggested Citation

  • Sajjad Shokouhyar & Banafsheh Ataafarin & Esmaeil Tavassoli, 2017. "Investigation and measurement of effective factors of information technology solutions on customer relationship management with fuzzy logic approach," International Journal of Intelligent Enterprise, Inderscience Enterprises Ltd, vol. 4(3), pages 243-260.
  • Handle: RePEc:ids:ijient:v:4:y:2017:i:3:p:243-260
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=87635
    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:ijient:v:4:y:2017:i:3:p:243-260. 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=167 .

    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.