Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/22061
Title: | Steps in forecasting with seasonal regression : a case study from the carbonated soft drink market |
Authors: | Caruana, Albert |
Keywords: | Forecasting -- Statistical methods Soft drinks -- Case studies Forecasting Seasonal variations (Economics) |
Issue Date: | 2001 |
Publisher: | Emerald Publishing Limited |
Citation: | Caruana, A. (2001). Steps in forecasting with seasonal regression: a case study from the carbonated soft drink market. Journal of Product & Brand Management, 10(2), 94-102. |
Abstract: | Forecasting enables the efficient utilisation of a firm’s resources. There are various types of forecasting models that can be built. Illustrates the steps involved in building a forecasting model utilising seasonal regression with a practical example. The model obtained for the carbonated soft drink brand under consideration estimates a growth rate of 3,568 units per month during the last five years and identifies the seasonal effect during each month of the year. The model also computes the cannibalisation effect that the introduction of a brand extension has had. The development of such models can provide a useful input to both marketing and operations planning. |
URI: | https://www.um.edu.mt/library/oar//handle/123456789/22061 |
Appears in Collections: | Scholarly Works - FacMKSCC |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
2001 JPBM 10(2).pdf Restricted Access | 162.04 kB | Adobe PDF | View/Open Request a copy |
Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.