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Activity Number:
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582
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Type:
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Invited
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Date/Time:
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Thursday, August 6, 2009 : 10:30 AM to 12:20 PM
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Sponsor:
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IMS
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| Abstract - #303222 |
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Title:
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A Clusterwise Approach for Heterogeneous Variable Selection
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Author(s):
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Feng Liang*+
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Companies:
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University of Illinois at Urbana-Champaign
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Address:
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101 Illini Hall, 725 S. Wright Street, Champaign, IL, 61820,
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Keywords:
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Abstract:
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Grouping consumers into different segments based on their product preference is an essential element of marketing. In the new marketing environment of many-features products, prior methods (e.g. conjoint analysis, mixture regression models, and multi-dimensional scaling), are limited in effectively executing market segmentation. Most methods of benefit segmentation assume that consumers consider every product features for their choice decision, but researches have shown that consumers only consider a subset of features. More interesting, consumers have heterogeneity in selecting important product features for their decision and this heterogeneity can be an optimal index for market segmentation and new product development.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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