American Journal of Economics and Business Administration

Effects of Information Overload on Brazilian E-Consumers

Rafael Lucian and Salomão Alencar de Farias

DOI : 10.3844/ajebasp.2009.21.26

American Journal of Economics and Business Administration

Volume 1, Issue 1

Pages 21-26


Problem statement: E-commerce is a reality; Companies must consider this media as an important trade channel without distances between products and consumers. A key issue of e-commerce is how companies are disclosing information to its customers. This study aims to measure if there is relationship between the information overload in the virtual environment and the response of satisfaction and confusion of consumers. Approach: Research had exploratory-experimental character and it was used a quasi-experiment. Due to the methodology adopted, two samples were obtained, the first of control with 114 respondents and the second of experiment with 178 cases reported. Data analysis was made though descriptive statistics (central tendency and dispersion), multivariate (factor analysis) and non-parametric (Mann-Whitney U test). Results: A factorial matrix was built and it was found that information overload relates to the responses of satisfaction and confusion in the environment of e-commerce. There was a statistical significance level supporting these relationships. Conclusion/Recommendation: The main implication of information load was the feeling of not having done the best buy, generating a possible repentance. Related to the feeling of confusion generated by the large amount of information, the physical and virtual environment has the same properties. The performed analyses in this study indicated that there is a relationship between the e-commerce consumer satisfaction and the experience of information overload. Future studies might investigate the relationship between information overload and other responses.


© 2009 Rafael Lucian and Salomão Alencar de Farias. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.