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A customer-based approach for selecting attributes and levels for preference measurement and new product development

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  • Michael Steiner
  • Roland Helm
  • Verena Hüttl-Maack

Abstract

Preference measurement is commonly used to identify customer needs and to create products that satisfy these needs. Over the past few decades, most researchers have focused on developing new survey or estimation methods. However, researchers were paying little attention to the selection of attributes and levels for preference measurement. This study provides an overview of the common methods currently in use to define attribute sets for conjoint analysis, and it extends previous research by proposing an evoked set-based attribute selection method (EVAS). The EVAS is intended to aid the selection of appropriate attributes and levels by focusing on products that are acceptable from the consumer's perspective. An empirical study of this approach reveals that the applicability of attribute sets increases, and implausible estimates can be avoided.

Suggested Citation

  • Michael Steiner & Roland Helm & Verena Hüttl-Maack, 2016. "A customer-based approach for selecting attributes and levels for preference measurement and new product development," International Journal of Product Development, Inderscience Enterprises Ltd, vol. 21(4), pages 233-266.
    • Handle: RePEc:ids:ijpdev:v:21:y:2016:i:4:p:233-266
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    Cited by:

    1. Benedikt M. Brand & Theresa Maria Rausch & Jannika Brandel, 2022. "The Importance of Sustainability Aspects When Purchasing Online: Comparing Generation X and Generation Z," Sustainability, MDPI, vol. 14(9), pages 1-28, May.

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