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Cross-National Logo Evaluation Analysis: An Individual Level Approach

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Author Info
Lans, R.J.A. van der
Cote, J.A.
Cole, C.A.
Leong, S.M.
Smidts, A.
Henderson, P.W.
Bluemelhuber, C.
Bottomley, P.A.
Doyle, J.R.
Fedorikhin, A.S.
Janakiraman, M.
Ramaseshan, B.
Schmitt, B.H. (Erasmus Research Institute of Management (ERIM), RSM Erasmus University)

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Abstract

The universality of design perception and response is tested using data collected from ten countries: Argentina, Australia, China, Germany, Great Britain, India, the Netherlands, Russia, Singapore, and the United States. A Bayesian, finite-mixture, structural-equation model is developed that identifies latent logo clusters while accounting for heterogeneity in evaluations. The concomitant variable approach allows cluster probabilities to be country specific. Rather than a priori defined clusters, our procedure provides a posteriori cross-national logo clusters based on consumer response similarity. To compare the a posteriori cross-national logo clusters, our approach is integrated with Steenkamp and Baumgartner’s (1998) measurement invariance methodology. Our model reduces the ten countries to three cross-national clusters that respond differently to logo design dimensions: the West, Asia, and Russia. The dimensions underlying design are found to be similar across countries, suggesting that elaborateness, naturalness, and harmony are universal design dimensions. Responses (affect, shared meaning, subjective familiarity, and true and false recognition) to logo design dimensions (elaborateness, naturalness, and harmony) and elements (repetition, proportion, and parallelism) are also relatively consistent, although we find minor differences across clusters. Our results suggest that managers can implement a global logo strategy, but they also can optimize logos for specific countries if desired.

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Publisher Info
Paper provided by Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam. in its series Research Paper with number ERS-2008-055-MKT Revision_Date: 2009-07-29.

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Date of creation: 02 Sep 2008
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Handle: RePEc:dgr:eureri:1765013181

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Related research
Keywords: design; logos; international marketing; standardization; adaptation; structural equation models; Gibbs sampling; concomitant variable; Bayesian; mixture models;

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This page was last updated on 2009-11-11.


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