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The Research on and Application of the Multi-regression Technique in the Course of the Marketing Decision-making of Enterprises

The Research on and Application of the Multi-regression Technique in the Course of the Marketing Decision-making of Enterprises

作     者:QIU Xiao-dong, ZHAO Ping (School of Economics & Management, Tsinghua University, Beijing 100084 , China) 

出 版 物:《厦门大学学报(自然科学版)》 (Journal of Xiamen University:Natural Science)

年 卷 期:2002年第41卷第S1期

页      面:221-222页

核心收录:

学科分类:12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 

主  题:marketing decision-making demand forecast corr elative index multi-regression technique 

摘      要:The reformation of the economy system has led the f un ctional department and status of the enterprises into a variable state. Under th e condition of the market economy, the kernel of the enterprises’ functional dep artment has diverted to that of marketing decision-making, which face to market and meet with the need of consumption. Assuredly, the kernel of marketing decis ion-making is to prognosticate the future market demand of the production of en terprises accurately, so that it can ensure and realize the maximum of the enter prises’ profit increase. Using empirical research and the multi-regression technique, this paper ana lyzes the enterprises’ production demand forecast of the GMC (Global Management Challenge, held every year globally) and changes most of uncontrollable factors of demand forecast to the controllable ones of the enterprises. The method we us ed to forecast demand by using the multi-regression technique is as follows: 1. Look for the main factors which influence the demand of productions; 2. Establish the regression model; 3. Using the historical data, find the resolution of the correlative index an d do the prominent test; 4. Analyze and compare, regression, adjust parameter and optimize the regress ion model. Our method will make the forecast data closer to the actual prices of the future market requirement quantity in the production marketing decision-making of the enterprises and realize the optimizing combination and the working object w ith the minimum of the cost and the maximum of the profit. And it can ensure the realization of the equity maximum of the enterprises and increase the lifecycle of the production.

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