A Business Intelligence Model for SMEs Based on Tacit Knowledge

Moufida Sadok and Humbert Lesca

Moufida SADOK, Institute of Technology in Communications, Tunisia

Humbert LESCA, Laboratory CERAG UMR 5820 CNRS, France

Abstract

This paper proposes a specific model of business intelligence in relation with SMEs practices, culture and competitive environment. This model is based on the mobilization of corporate tacit knowledge and informal information, aiming at interpreting anticipatory environmental information and assist strategic decision making. An empirical survey assessing the existing business intelligence practices in 20 French SMEs has identified seven necessary acceptance conditions of a business intelligence project as well as a managerial tool allowing tacit knowledge traceability.

Keywords: business intelligence, tacit knowledge, SMEs, sense-making
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