Estimating market shares in each market segment using the information entropy concept

被引:5
作者
Saleh, Mohamed [1 ]
机构
[1] Cairo Univ, Fac Comp & Informat, Dept Decis Support, Giza, Egypt
关键词
marketing; attraction model; information entropy; probabilistic allocation;
D O I
10.1016/j.amc.2007.02.049
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Sales data of a certain product for the various competitors are usually available at the aggregate level. However these data give no clue to the heterogeneities in the sales pattern across different market segments. Heterogeneities are caused by different purchasing behavior in each market segment; as a purchaser in a segment will be attracted to the attributes of the product most important to that segment. This concept can be formalized via a simple attraction model that utilizes an elasticity measure for each quality or price attribute [G.S. Carpenter, L.G. Cooper, D.M. Hanssens, D.F. Midgley, Modeling asymmetric competition, Marketing Science 7 (4) (1998) 393-412]. Assessment of these elasticities is not difficult since customer response - in each market segment - to perception of quality and price is tracked by most firms [J. Ross, D. Georgoff, A survey of productive and quality issues in manufacturing. The state of the industry, Industrial Management 3 (5) (1991) 22-25]. This paper attempts to formulate a generic framework based on the information entropy concept that utilizes such an attraction model to estimate competitors' sales in each market segment. (c) 2007 Elsevier Inc. All rights reserved.
引用
收藏
页码:1735 / 1739
页数:5
相关论文
共 5 条
[1]  
Kotler P., 2005, PRINCIPLES MARKETING, V11th
[2]   Marketing information systems in Fortune 500 companies:: a longitudinal analysis of 1980, 1990, and 2000 [J].
Li, EY ;
McLeod, R ;
Rogers, JC .
INFORMATION & MANAGEMENT, 2001, 38 (05) :307-322
[3]   A Decision Support System for evaluating operations investments in high-technology business [J].
Marquez, AC ;
Blanchar, C .
DECISION SUPPORT SYSTEMS, 2006, 41 (02) :472-487
[4]  
Reza F.M., 1994, An introduction to information theory
[5]  
Trout J., 1995, NEW POSITIONING LATE