Munich Personal RePEc Archive

Driver-based model- trends factors affecting its adoption

Kunnathuvalappil Hariharan, Naveen (2017): Driver-based model- trends factors affecting its adoption. Published in: Journal of Emerging Technologies and Innovative Research (JETIR) , Vol. 4, No. 10 (October 2017): pp. 865-869.

[img]
Preview
PDF
MPRA_paper_109510.pdf

Download (359kB) | Preview

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.

Logo of the University Library LMU Munich
MPRA is a RePEc service hosted by
the University Library LMU Munich in Germany.