IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/25758.html
   My bibliography  Save this paper

Using Artificial intelligence to select the optimal E-CRM Based business needs

Author

Listed:
  • Amroush, Fadi
  • Baderddeen, Alkhoder
  • Yusef, Talal

Abstract

CRM has become one of the most leading business strategies in the new millennium. There is a verity of software solutions that impalement CRM principles including free and property ones. The aim of this research is to design and implement an evaluation model to help companies in choosing the best CRM based on their business needs using artificial intelligence techniques. The evaluation model uses an AI system that can help to specify the workflows and needs of the people, who want to buy a CRM-system, e.g. to support the RFP-process, in addition to determine a model for evaluation, and after building it he can send it to vendors to get their feedback and may be will do so matching algorithm to choose the best match. Decision making system choose the optimal solution based on business needs which is provided by RFP templates.

Suggested Citation

  • Amroush, Fadi & Baderddeen, Alkhoder & Yusef, Talal, 2008. "Using Artificial intelligence to select the optimal E-CRM Based business needs," MPRA Paper 25758, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:25758
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/25758/1/MPRA_paper_25758.pdf
    File Function: original version
    Download Restriction: no

    Citations

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


    Cited by:

    1. Amroush, Fadi & Alkhoder, A.Baderddeen, 2009. "بناء نظام تقييمي للبرمجيات باستخدام تقنيات الاستدلال على الحالات السابقة Cbr
      [Building a programs' evaluation system by using CBR Cased Based Reasoning]
      ," MPRA Paper 25777, University Library of Munich, Germany.

    More about this item

    Keywords

    CRM; information technology; marketing;

    JEL classification:

    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

    Statistics

    Access and download statistics

    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:pra:mprapa:25758. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.