A Model for Capturing Tacit Knowledge in Enterprises

Abstract

The recognition for tacit knowledge started in the early sixties and since then companies and enterprises have been trying to acquire this important type of knowledge to help them in decision making, support innovation, create value, and thrive. Researchers have developed tools like interviewing with valuable knowledge holders (experts) or storytelling techniques to help in acquiring, codifying, and sharing information, knowledge and making processes better. This paper presents a new holistic concept and model to integrate artificial intelligence applications for knowledge creation and retention. The model presented is called the Intelligent Model for Acquiring and Retrieving Knowledge (I-MARK). Integrating the artificial intelligence tools in knowledge management applications for internal use in enterprises will advance the skills, capability, and competence of organizational learning and support slow, inaccurate and fuzzy way working human brains to be more proficient and accurate in solving problems and decision making.