Abstract
Proper market segmentation schemes should address not only how to develop feasible schemes of homogeneous market segments within designated managerial, institutional, and environmental restrictions, but also how to construct such schemes simultaneously in conjunction with associated resource constraints. Current existing methodological approaches to market segmentation fall short of such development issues. This manuscript proposes an alternative approach for the construction of market segments particular to the needs and constraints for a particular application (NORMCLUS). We employ some recent developments in combinatorial optimization algorithms and heuristics in forming managerially relevant market segments. We illustrate a few aspects of this general methodology in the context of an actual industrial marketing application concerning the differential drivers of customer perceived overall quality for an electric utility company.
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References
Aaker, David A. (1992). Strategic Market Management. 3rd Edition, New York, NY: John Wiley and Sons, Inc.
Aldenderfer, M.S. and R.K. Blashfield. (1984). Cluster Analysis. Beverly Hills, CA: Sage Publications.
Assael, Henry. (1987). Consumer Behavior and Marketing Action. 3rd Edition, Belmont, CA: Wadsworth, Inc.
Day, George S. (1990). Market Driven Strategy, Processes for Creating Value. New York, NY: The Free Press.
DeSarbo, Wayne S. and William Cron. (1988). “A Conditional Mixture Maximum Likelihood Methodology for Clusterwise Linear Regression,” Journal of Classification5, 249–289.
DeSarbo, Wayne S., Robert E. Hausman, Shen Lin, and Wesley Thompson. (1982). “Constrained Canonical Correlation,” Psychometrika47 (December), 489–516.
DeSarbo, Wayne S. and Vijay Mahajan. (1984). “Constrained Classification: The Use of A Priori Information In Cluster Analysis,” Psychometrika49 (June), 187–215.
DeSarbo,Wayne S., Richard Oliver, and Arvind Rangaswamy. (1990). “A Simulated Annealing Methodology for Cluster-wise Linear Regression,” Psychometrika54, 707–736.
Frank, Ronald E., William F. Massy, and Yoram Wind. (1972). Market Segmentation. Englewood Cliffs, NJ: Prentice-Hall, Inc.
Kotler, Philip. (1995). MARKETING MANAGEMENT, Analysis, Planning, Implementation, and Control. 9th Edition, Englewood Cliffs, NJ: Prentice-Hall, Inc.
Krieger, A.M. and Paul E. Green. (1996). “Modifying Cluster Based Segments to Enhance Agreement with an Exogenous Response Variable,” Journal of Marketing Research33 (August), 351–363.
Lawson, Charles L. and Richard J. Hanson. (1972). Solving Least Squares Problems. Englewood Cliffs, NJ: Prentice Hall, Inc.
Lin, S. and M. Kernighan. (1973). “An Effective Heuristic Algorithm for the Traveling Salesman Problem,” Operations Research21, 498–516.
Magidson, J. and SPSS Inc. (1993). SPSS for Windows CHAID Release 6.0. Chicago, IL: SPSS Inc..
Mahajan, Vijay and Arun K. Jain. (1978). “An Approach to Normative Segmentation,” Journal of Marketing Research15 (August), 338–345.
Rao, Singiresu S. (1996). Engineering Optimization. Theory and Practice. 3rd Edition, New York, NY: John Wiley and Sons, Inc.
Sawtooth Software Inc. (1988). CCA System Version 1.0. Ketchum, ID: Sawtooth Software Inc..
Smith, Wendell, R. (1956). “Product Differentiation and Market Segmentation as Alternative Marketing Strategies,” Journal of Marketing(July), 3–8.
Winter, Frederick W. (1979). “A Cost-Benefit Approach To Market Segmentation,” Journal of Marketing43 (Fall), 103–111.
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DeSarbo, W.S., Grisaffe, D. Combinatorial Optimization Approaches to Constrained Market Segmentation: An Application to Industrial Market Segmentation. Marketing Letters 9, 115–134 (1998). https://doi.org/10.1023/A:1007997714444
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DOI: https://doi.org/10.1023/A:1007997714444