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استخدام تقنيات الذكاء الصنعي لاختيار أمثل نظام إداة علاقات مع الزبائن ملائم لاحتياجات شركة ما
[Using Artificial intelligence to select the optimal E-CRM Based business needs]

Author

Listed:
  • Amroush, Fadi

Abstract

It is very important to a company to select the optimal CRM program based on its needs, especially there are hundreds of programs, similar in general, different in price and functions and many companies do only comparing between those programs, trying to select the best on this comparison. This research aimed to suggest an software evaluation system, to select the best CRM based customer's needs, using Cased based Reasoning- CBR- techniques, and associations Rules, in addition to evaluate these programs internally, and find the similarity rate between customer's needs and program's features. The evaluation system depends on a number of questions, have to be answered by the vendors, to specify their program features, after that the customer will answer also the same questions, to determine his needs, and give a weight related to each question. At the end, the evaluation system will select the best program, that has the top rank based on the similarity between customer's needs and program features.

Suggested Citation

  • Amroush, Fadi, 2009. "استخدام تقنيات الذكاء الصنعي لاختيار أمثل نظام إداة علاقات مع الزبائن ملائم لاحتياجات شركة ما [Using Artificial intelligence to select the optimal E-CRM Based business needs]," MPRA Paper 28014, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:28014
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    References listed on IDEAS

    as
    1. Yi Peng & Gang Kou & Yong Shi & Zhengxin Chen, 2008. "A Descriptive Framework For The Field Of Data Mining And Knowledge Discovery," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 7(04), pages 639-682.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    CRM; Marketing; Decision Support System ; CBR; case based;
    All these keywords.

    JEL classification:

    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • M3 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

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