IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/109510.html
   My bibliography  Save this paper

Driver-based model- trends factors affecting its adoption

Author

Listed:
  • Kunnathuvalappil Hariharan, Naveen

Abstract

Despite the fact that the notion of driver-based modeling is not new, many businesses have implemented it to support detailed business unit planning. This study highlights a few dimensions about the driver-based planning models. First, it highlights the recent trend and practices of adoption of driver-based models. Second, it discusses the fundamental reasons for adopting the driver-based planning model. As the examples of this trend, we investigated the uses of these models in two different sectors, namely, chain restaurant sector, and Fast-Moving Consumer Goods (FMCG) sector. The findings show that people are attempting to forecast more regularly, which is why adoption and curiosity are so popular. Another reason driver-based models are becoming more popular is the increased availability and visibility of data that ERPs and other technologies have enabled. Another reason of employing driver-based modeling is that the necessary technology is now available and affordable.

Suggested Citation

  • Kunnathuvalappil Hariharan, Naveen, 2017. "Driver-based model- trends factors affecting its adoption," MPRA Paper 109510, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:109510
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/109510/1/MPRA_paper_109510.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    chain restaurant sector; Driver-based model; FMCG;
    All these keywords.

    JEL classification:

    • G30 - Financial Economics - - Corporate Finance and Governance - - - General
    • G31 - Financial Economics - - Corporate Finance and Governance - - - Capital Budgeting; Fixed Investment and Inventory Studies

    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:109510. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.