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

Title: Analysis of three-way non-symmetrical association of food concepts in cross-cultural marketing
Creator: Lombardo, Rosaria; Beh, Eric J.; Guerrero, Luis
Relation: Quality and Quantity Vol. 53, Issue 5, p. 2323-2337
Publisher Link: http://dx.doi.org/10.1007/s11135-018-0733-6
Publisher: Springer
Resource Type: journal article
Date: 2019
Description: 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-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.
Subject: food concepts; three-way categorical data; predictability index; non-symmetrical three-way correspondence analysis
Identifier: http://hdl.handle.net/1959.13/1411487
Identifier: uon:36342
Identifier: ISSN:0033-5177
Language: eng
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