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Benefit‐feature segmentation: a tool for the design of supply‐chain strategy

Benefit‐feature segmentation: a tool for the design of supply‐chain strategy Purpose – This paper aims to assess the effectiveness of different segmentation schemes as the basis of marketing strategy, with particular respect to supply‐chain decisions, and to propose a new procedure capable of combining benefits sought and features available. Design/methodology/approach – In a study of buyers and consumers of beef in Brazil, segments based on three approaches were derived by hierarchical cluster analysis, fine‐tuned by K ‐means cluster analysis. The outcome was evaluated for the viability and actionability of the preferred procedure, both objectively and through interviews with managers in the beef‐supply business. Findings – The results revealed that a segmentation scheme combining benefits sought and features available yields more homogeneous and actionable segments, and has real promise as an input to the formulation and implementation of supply‐chain strategy. Research limitations/implications – This promising innovation in market segmentation requires further study, and testing in the marketplace. Practical implications – The proposed system is a usable aid to decision making. Originality/value – The paper proposes an original approach to market segmentation. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Marketing Intelligence & Planning Emerald Publishing

Benefit‐feature segmentation: a tool for the design of supply‐chain strategy

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Publisher
Emerald Publishing
Copyright
Copyright © 2007 Emerald Group Publishing Limited. All rights reserved.
ISSN
0263-4503
DOI
10.1108/02634500710774978
Publisher site
See Article on Publisher Site

Abstract

Purpose – This paper aims to assess the effectiveness of different segmentation schemes as the basis of marketing strategy, with particular respect to supply‐chain decisions, and to propose a new procedure capable of combining benefits sought and features available. Design/methodology/approach – In a study of buyers and consumers of beef in Brazil, segments based on three approaches were derived by hierarchical cluster analysis, fine‐tuned by K ‐means cluster analysis. The outcome was evaluated for the viability and actionability of the preferred procedure, both objectively and through interviews with managers in the beef‐supply business. Findings – The results revealed that a segmentation scheme combining benefits sought and features available yields more homogeneous and actionable segments, and has real promise as an input to the formulation and implementation of supply‐chain strategy. Research limitations/implications – This promising innovation in market segmentation requires further study, and testing in the marketplace. Practical implications – The proposed system is a usable aid to decision making. Originality/value – The paper proposes an original approach to market segmentation.

Journal

Marketing Intelligence & PlanningEmerald Publishing

Published: Aug 7, 2007

Keywords: Market segmentation; Supply chain management; Marketing strategy; Marketing planning; Brazil

References

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