J
James L. Ginter
Researcher at Ohio State University
Publications - 19
Citations - 2467
James L. Ginter is an academic researcher from Ohio State University. The author has contributed to research in topics: Market segmentation & Competitor analysis. The author has an hindex of 13, co-authored 19 publications receiving 2393 citations. Previous affiliations of James L. Ginter include Max M. Fisher College of Business.
Papers
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Journal ArticleDOI
Market Segmentation, Product Differentiation, and Marketing Strategy:
Peter R. Dickson,James L. Ginter +1 more
TL;DR: Despite the pervasive use of the terms "market segmentation" and "product differentiation" in the literature, there has been and continues to be considerable misunderstanding about their meaning and use.
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Using Extremes to Design Products and Segment Markets
Greg M. Allenby,James L. Ginter +1 more
TL;DR: This article found that current marketing methodologies used to study consumers are inadequate for identifying and understanding respondents whose preferences for a product offering are most extreme, i.e., those who are more extreme than others.
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On the Heterogeneity of Demand
TL;DR: Demand heterogeneity traditionally has been defined as segments of consumers that are homogeneous with regard to the benefits they seek or in their response to marketing programs (e.g., product offloading).
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Corporate Social Responsiveness: Management Attitudes and Economic Performance
TL;DR: This article showed that companies with strong social responsiveness generally enjoy better financial performance than their less responsive industry counterparts, and that companies that have a strong social sensitivity tend to have better economic performance.
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Incorporating Prior Knowledge into the Analysis of Conjoint Studies
TL;DR: The authors use conjoint analysis to provide interval-level estimates of part-worths allowing tradeoffs among attribute levels to be examined, resulting in parameter estimates with greater face validity and predictive performance than estimates that do not utilize prior information or those that use traditional methods such as LINMAP.