IDEAS home Printed from https://ideas.repec.org/a/ids/ijmdma/v23y2024i4p415-437.html
   My bibliography  Save this article

Optimising performance by fusion of business intelligence and marketing mix in decision making process

Author

Listed:
  • Ankur Saini
  • Anupama Rajesh

Abstract

The article proposes a business intelligence (BI) process model integrated with the marketing core elements to enhance decision making and optimise the firm's performance. In this study, authors have explored the literature on BI from the marketing mix perspective. The article argues that businesses should spend time and utilise their valuable resources in BI application implementation and usage. According to the authors' examination of the literature, very limited research is available on how the dimensions of the marketing and BI process can be linked with one another. This research is expected to be beneficial because it focuses on the interplay between the two different fields of BI and marketing intelligence. It will encourage and stimulate significant research potential in the subject areas.

Suggested Citation

  • Ankur Saini & Anupama Rajesh, 2024. "Optimising performance by fusion of business intelligence and marketing mix in decision making process," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 23(4), pages 415-437.
  • Handle: RePEc:ids:ijmdma:v:23:y:2024:i:4:p:415-437
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=139386
    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:ijmdma:v:23:y:2024:i:4:p:415-437. 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=19 .

    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.