The influence of adaptation and standardization of the marketing mix on performance: A meta-analysis

This article analyzes the relationship between strategies of standardization and adaptation of the marketing mix and performance in an international context. We carried out a meta-analysis on a sample of 23 studies published between 1992 and 2010. The sample was analyzed based on measures of the eff...

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Detalhes bibliográficos
Autores: Brei, Vinícius Andrade, D'Avila, Lívia, Camargo, Luis Felipe, Engels, Juliana
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2011
País:Brasil
Recursos:Associação Nacional de Pós-Graduação e Pesquisa em Administração (ANPAD)
Repositório:BAR - Brazilian Administration Review
Idioma:inglês
OAI Identifier:oai:ojs3.bar.anpad.org.br:article/154
Acesso em linha:https://bar.anpad.org.br/index.php/bar/article/view/154
Access Level:Acceso aberto
Palavra-chave:standardization
adaptation
marketing
performance
meta-analysis
Descrição
Resumo:This article analyzes the relationship between strategies of standardization and adaptation of the marketing mix and performance in an international context. We carried out a meta-analysis on a sample of 23 studies published between 1992 and 2010. The sample was analyzed based on measures of the effect size (ES) – or the strength of the relation (Wolf, 1986) – between standardization/adaptation and performance. The results suggest the existence of a medium strength (ES ranging from .133 to .209) for the relationship considered. The results support the existence of a positive impact of both marketing mix adaptation and standardization on performance. However, our results suggest that companies should slightly emphasize the marketing mix adaptation (ES mean = .168) instead of standardizing it (ES mean = .134) when entering in a new international market. Results also indicate that, among the adaptation choices, price (ES = .209) should be the first element of the marketing mix to be adapted, followed by promotion (ES = .155), product (ES = .154), and distribution (ES = .141). Finally, we suggest some new research paths, such as the use of quantitative methods to compare degrees of adaptation to be applied to different segments, regions, and sectors, among other suggestions.