IDEAS home Printed from https://ideas.repec.org/a/aes/icmbdj/v1y2015i1p329-337.html
   My bibliography  Save this article

A Multi-Agent Technology Based Platform for Marketing Communication

Author

Listed:
  • Radu Ioan MOGOS

    (Bucharest University of Economic Studies,Romania)

Abstract

One of the most significant current discussions in marketing is related to personalizing and distribution marketing information content in order to promote services and/or products that will be sent to the customers with a specific profile. In this context, is becoming increasingly difficult to ignore the design process of the dedicated platforms built for composing and spreading marketing information. The entire involved communication process is also characterized by a set of specific tasks. However, a major issue with this kind of platforms is related to the identification of the clients groups (clients with similar needs), building clients’ profiles, information personalization and distribution in an efficient way, collecting a relevant feedback from the clients. The purpose of this paper is to review recent research regarding marketing communication platforms (MCP) and to propose a platform architecture for MCP using intelligent technologies in several aspects specific to this kind of platform. For the proposed architecture each module will be described and also its particularities. In the end, there is outline a conclusion set regarding the platform and its functionalities.

Suggested Citation

  • Radu Ioan MOGOS, 2015. "A Multi-Agent Technology Based Platform for Marketing Communication," International Conference on Marketing and Business Development Journal, The Bucharest University of Economic Studies, vol. 1(1), pages 329-337, July.
    • Handle: RePEc:aes:icmbdj:v:1:y:2015:i:1:p:329-337
    as

    Download full text from publisher

    File URL: http://www.mbd.ase.ro/RePEc/aes/icmbdj/2015/ICMBDJ_V1_2015_138.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    marketing communications platform; personalizing information; intelligent technologies; client profile.;
    All these keywords.

    JEL classification:

    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

    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:aes:icmbdj:v:1:y:2015:i:1:p:329-337. 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: Lucian Onisor (email available below). General contact details of provider: https://edirc.repec.org/data/aseeero.html .

    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.