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Consumer perceptions of farmed fish: A cross-national segmentation in five European countries

  • Machiel J. Reinders*
  • , Marija Banović
  • , Lluis Guerrero
  • , Athanasios Krystallis
  • *Corresponding author for this work

    Research output: Contribution to journalArticleAcademicpeer-review

    Abstract

    Purpose: The purpose of this paper is to investigate possible cross-cultural consumer segments in the EU aquaculture market and provide direction and focus for marketing strategies for farmed fish products. Design/methodology/approach: Selected psychographic constructs (i.e. category involvement, domain-specific innovativeness, subjective knowledge, suspicion of novelties and optimistic bias) are tested as segmentation basis with the objective of defining a number of cross-border consumer segments with distinctive and clear-cut profiles in terms of consumer perceptions towards farmed fish. Findings: Based on the consumer psychographic profiles, three distinct segments are found: involved traditional, involved innovators and ambiguous indifferent, of which the first two constitute especially interesting targets for market positioning strategies for aquaculture products. Practical implications: The results of the segmentation analysis opens new horizons in terms of positioning and differentiation of fish products from the aquaculture industry according to the most important potential market segments. Originality/value: The current research brings insights into different pan-European consumer segments and their characteristics that allow for a corresponding differentiation strategy within the aquaculture industry. The fact that the segments tend to be uniform across all countries suggests a relatively homogeneous or converging European fish-related culture.

    Original languageEnglish
    Pages (from-to)2581-2597
    JournalBritish Food Journal
    Volume118
    Issue number10
    DOIs
    Publication statusPublished - 2016

    Keywords

    • Consumer perceptions
    • Fish (food)
    • Involvement
    • Segmentation

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