A Study of Applying Grey Predictive Module into Sales Revenue Prediction of Convenience Chain Stores an Investigation of 7-ELEVEn and FamilyMart

Abstract

The objective of this study is to build a Grey Method used for the measurement of sales revenue of 7-ELEVEn and FamilyMart. Meanwhile, this study aims to process Grey Method Analysis on sales revenue in the period from 2009 to 2013 and progressively provide enterprises or investors with references for the development of convenience chain stores. Subjects applied in this study consist of the sales revenues of 7-ELEVEn and FamilyMart. This research is designed to examine the comparison analysis on these two convenience chain stores by means of such data-analysis methods as GM (1,1), RGM(superscript +) (1,1) , RGM(superscript −) (1, 1), Nonlinear Bernoulli Module, GM (1, 1) revised by Tan, and Multiple Regression Analysis. With the assistance of data analysis, this study has made it positive to prove that the pre-test results under different module applications are perceived as remained. Accordingly, under the application of top-five modules, the pre-test outcome indicates that the growth rate of 7-ELEVEn in next five years is more than 1.04% and less than 4.82%. Meanwhile, that of FamilyMart in next five years is more than 6.63% and less than 8.01%. With the understanding of growth rate estimation, enterprises could take the outcome released in this study into consideration associated with consumer market and business administration.