The local and the global: exploring traits of homogeneity and heterogeneity in European food cultures

Askegaard, Søren; Madsen, Tage Koed

doi:10.1016/s0969-5931(98)00028-6

Cited by 117 publications

(87 citation statements)

References 5 publications

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“…For Polish consumers traditional was mostly linked to sensory properties (Tasty) and Family, while for Italians the most frequent association was Homemade. These results stress the heterogeneity in food culture within Europe in agreement with Askegaard and Madsen (1998), who affirmed that Europe cannot be regarded homogeneously as a unique food culture, since noticeable differences exist not only at a national level but also from a more regional/local point of view in food preferences, habits, food-related behaviour and attitudes. Despite the differences pointed out some similarities between regions were also observed.…”

Section: Approach By Using the Raw Datasupporting

confidence: 86%

Perception of traditional food products in six European regions using free word association

Guerrero

Claret

Verbeke

et al. 2010

Food Quality and Preference

361

320

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Section: Approach By Using the Raw Datasupporting

confidence: 86%

Perception of traditional food products in six European regions using free word association

Guerrero

Claret

Verbeke

et al. 2010

Food Quality and Preference

361

320

View full text Add to dashboard Cite

“…Therefore, consumer culture, lifestyle, values, attitudes, benefits, and consumption tend to be spatially associated as well. Empirical support for such local similarities in cultural, attitudinal, and behavioral patterns can be found in several studies (e.g., Askegaard and Madsen 1998, Ronen and Shenkar 1985, Vandermerwe and L'Huillier 1989, Parker and Tavassoli 2000.…”

Section: Introductionmentioning

confidence: 79%

“…Empirical support for regional variations in consumer lifestyle, values, attitudes, and consumption behavior is provided by, e.g., Gentry et al (1988), Hawkins et al (1981), Kahle (1986), and Parker and Tavassoli (2000). Empirical support for spatial association in socioeconomic, cultural, attitudinal, and behavioral patterns can also be found in international segmentation research (Askegaard 1993, Kale 1995, Ronen and Kraut 1977, Sirota and Greenwood 1971, Steenkamp 2001, Ter Hofstede et al 1997.…”

Section: Spatial-association Modelmentioning

confidence: 95%

Identifying Spatial Segments in International Markets

2002

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The identification of geographic target markets is critical to the success of companies that are expanding internationally. Country borders have traditionally been used to delineate such target markets, resulting in accessible segments and cost efficient entry strategies. However, at present such ''countries-as-segments'' strategies may no longer be valid. In response to the accelerating trend toward global market convergence and within-country fragmentation of consumer needs, cross-national consumer segmentation is increasingly used, in which consumers in different countries are grouped based on the similarities in their needs, ignoring the country borders.In this paper, we propose new methodology that helps to improve the identification of spatial segments by using information on the location of consumers. Our methodology identifies spatial segments based on consumer needs and at the same time uses spatial information at the subcountry level. We suggest that segments of consumers are likely to demonstrate spatial patterns and develop a hierarchical Bayes approach specifying several types of spatial dependence. Rather than assigning consumers to segments, we identify spatial segments consisting of predefined regions. We develop four models specifying different types of spatial dependence. Two models characterize situations of spatial independence and countries-as-segments, which represent existing approaches to international segmentation. The other two models accommodate spatial association within and spatial contiguity of segments and are new to the segmentation literature. The models account for within-segment heterogeneity in multiattribute-based segmentation, covering numerous applications in response-based market segmentation. We show that the models can be estimated using Gibbs sampling, where for the spatial contiguity model, a rejection sampling procedure is proposed.We conduct an analysis of synthetic data to assess the performance of the most restrictive spatial segmentation model in situations where spatial patterns do or do not underlie the data-generating process. Data for which the true properties are known were analyzed with models of spatial contiguity and spatial independence of segments. The results indicate that a substantial improvement in parameter recovery may be realized if a spatial pattern underlies the data-generating process, but that the spatial-independence model may provide a better alternative when this is not the case.We empirically illustrate our approach in the setting of international retailing, using survey data collected among consumers in seven countries of the European Union. A store image measurement instrument was used. This instrument is based on the multiattribute model of store image formation, with overall evaluations of stores as a dependent variable and image perceptions as predictor variables. The segmentation basis consists of (latent) importances of store image attributes, i.e., product quality, service quality, assortment, pricing, store atmosphere, and...

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“…We base this hypothesis on the evidence reported in previous cross-cultural studies showing that sociocultural aspects determine consumers' feelings and needs, resulting in differences in food-related aspects even in relatively homogeneous countries (Guerrero et al 2009: 346). Furthermore, as Askegaard and Madsen (1998) argued that differences are noticeable not only at a national level but also at more regional/local level in terms of food preferences, habits, food related behaviour and attitudes. Therefore, in a multicultural region, such as South Tyrol, the 'crucial aspect of cultural aspects in the approach to local food' (Csurgó-Megyesi 2015: 169), coupled with different values and beliefs, should be translated into different attitudes and awareness about local food, among the considered sample groups.…”

Section: Introductionmentioning

confidence: 99%

Determinants of local food purchase Insight from a consumer survey in South Tyrol (Italy)

Brozzi¹,

Stawinoga²,

Hoffmann³

et al. 2016

Socio.hu

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The local and the global: exploring traits of homogeneity and heterogeneity in European food cultures

Cited by 117 publications

References 5 publications

Perception of traditional food products in six European regions using free word association

Perception of traditional food products in six European regions using free word association

Identifying Spatial Segments in International Markets

Determinants of local food purchase Insight from a consumer survey in South Tyrol (Italy)

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