Measuring the impact of critical incidents on brand personality
AbstractTo evaluate how occurring critical incidents change customer perceptions of brand personality, this study measures the impact on the basis of an online experiment. For this purpose, 1,132 usable responses are gathered considering the smartphone brands of Apple and Nokia as well as different critical incidents (corruption vs. product failure). Brand personality perceptions before and after these negative incidents are collected using the measurement model of Geuens, Weijters and De Wulf (2009). The measurement model is examined and the group specific factor scores are estimated. Based on these factor scores, latent means are calculated and hence reactions (personality shifts) are evaluated. The findings indicate that brand personality dimensions are not equally affected. Moreover, the results demonstrate that both brand equity and the business relationship before crisis moderate the effect of distinct critical incidents.
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Bibliographic InfoPaper provided by Sonderforschungsbereich 649, Humboldt University, Berlin, Germany in its series SFB 649 Discussion Papers with number SFB649DP2012-064.
Length: 54 pages
Date of creation: Oct 2012
Date of revision:
Brand personality; critical incidents; negative publicity; online experiment;
Find related papers by JEL classification:
- M14 - Business Administration and Business Economics; Marketing; Accounting - - Business Administration - - - Corporate Culture; Diversity; Social Responsibility
- M31 - Business Administration and Business Economics; Marketing; Accounting - - Marketing and Advertising - - - Marketing
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
- C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-11-11 (All new papers)
- NEP-FMK-2012-11-11 (Financial Markets)
- NEP-RMG-2012-11-11 (Risk Management)
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