Abstract
In 2012, the internet advertising revenue in the United States of America reached a total of 36.6 billion dollars, a growth of 15.2% when compared to 2011. The efficiency of a marketing strategy relies in the ability to understand and to direct the consumers' desires. In this work, the authors propose an approach that combines the Internet-Based Information Consumer Theory (IBICT) with semiotics to bring consumers' desires to e-Market. Hence, we present IBICT's framework as a collective network set based on a semiotic human-machine approach. For implementation purposes, we propose a text mining architecture towards IBICT's framework, which leads to an IBICT's architecture, and an Interdisciplinary Research Project Management (IRPM) approach to determine IBICT's dimensions.
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