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Analysis of three-way non-symmetrical association of food concepts in cross-cultural marketing

Author

Listed:
  • Rosaria Lombardo

    (University of Campania)

  • Eric J. Beh

    (University of Newcastle)

  • Luis Guerrero

    (IRTA-Monells)

Abstract

This paper analyses the non-symmetrical association among some key-words in a food context, given the European countries and gender of participants to a survey. The aim is to understand the meaning of the food concepts traditional and innovation associated to selected key-words in cross-cultural marketing. For studying the association among three categorical variables, usually, one can refer to Pearson’s three-way statistic, but in case of non-symmetrical association we prefer to consider Marcotorchino’s three-way predictability index and its related $$C_M$$ C M -statistic. Doing so, we present a generalisation of three-way non-symmetrical correspondence analysis to portray the predictability of food concepts given the knowledge of participants’country and gender.

Suggested Citation

  • Rosaria Lombardo & Eric J. Beh & Luis Guerrero, 2019. "Analysis of three-way non-symmetrical association of food concepts in cross-cultural marketing," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(5), pages 2323-2337, September.
    • Handle: RePEc:spr:qualqt:v:53:y:2019:i:5:d:10.1007_s11135-018-0733-6
    DOI: 10.1007/s11135-018-0733-6
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    References listed on IDEAS

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