IDEAS home Printed from https://ideas.repec.org/a/igg/jeis00/v16y2020i4p146-160.html
   My bibliography  Save this article

Algorithm of Choosing the Enterprise Resource Planning System for Enterprises

Author

Listed:
  • Alexander Novikov

    (Moscow Aviation Institute (National Research University), Russia)

  • Marina V. Sazonova

    (Moscow Aviation Institute (National Research University), Russia)

Abstract

The article is dedicated to pointing out the main principles of choosing modern enterprise resource planning (ERP) system for highly technological domestic enterprises. The article provides criteria for choosing ERP system and the risk group for their implementation. The close dependence of the success of the implementation of ERP systems on the proportion of projects for which the budget has not been exceeded has been revealed; the share of projects for which the excess of the actual period over the planned period of the project occurred and the share of implementation of solutions of the “box” type. The authors conclude that it is necessary to develop an information system that meets the specifics of a particular enterprise, as well as careful planning for the timing and cost of implementing this system.

Suggested Citation

  • Alexander Novikov & Marina V. Sazonova, 2020. "Algorithm of Choosing the Enterprise Resource Planning System for Enterprises," International Journal of Enterprise Information Systems (IJEIS), IGI Global, vol. 16(4), pages 146-160, October.
  • Handle: RePEc:igg:jeis00:v:16:y:2020:i:4:p:146-160
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJEIS.2020100107
    Download Restriction: no
    ---><---

    More about this item

    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:igg:jeis00:v:16:y:2020:i:4:p:146-160. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    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.