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In his work The Tacit Dimension (1966), Polanyi explored the 'tacit' dimension to human knowledge and developed the concept of "tacit knowledge", as opposed to the term "explicit knowledge". [2] Tacit knowledge can be defined as knowledge people learn from experiences and internalize unconsciously, which is therefore difficult to articulate and ...
The aim is to change the explicit knowledge of the model back into the tacit knowledge of the employees. [1] In this case, employees' tacit knowledge can be kept in the organization. When employees express their thoughts and ideas openly and share their best working practices, it can lead to new innovations and help to make operations more ...
Explicit knowledge is often seen as easier to formalize compared to tacit knowledge, but both are necessary for knowledge creation. Nonaka and Takeuchi introduce the SECI model as a way for knowledge creation. The SECI model involves four stages where explicit and tacit knowledge interact with each other in a spiral manner. The four stages are:
Typically existing only in the minds of individuals, tacit knowledge is normally very difficult to capture, with most organizations depending almost entirely on the explicit knowledge. This makes experiential learning, productivity gains, and competitiveness slow and expensive to acquire.
Relational tacit knowledge: Relational tacit knowledge could be made explicit, but not made explicit for reasons that touch on deep principles that have to do with either the nature or location of knowledge of the way humans are made. This knowledge refers to things we could describe in principle if someone put effort into describing them.
The strong-interface position views language learning much the same as any other kind of learning. In this view, all kinds of learning follow the same sequence, from declarative knowledge (explicit knowledge about the thing to be learned), to procedural knowledge (knowledge of how the thing is done), and finally to automatization of this procedural knowledge.
Whilst shared tacit knowledge is regarded as implicitly libre, (explicit) libre knowledge is defined as a generalisation of the libre software definition. Procedural knowledge – also known as imperative knowledge, it is the knowledge exercised in the performance of some task. Commonly referred to as "knowing-how" and opposed to "knowing-that ...
Explicit and tacit knowledge are reinforced and become contextualized when the organization gains knowledge. While experience can produce outputs in data, information, or knowledge, experience in the form of knowledge is useful since this can be transferred, retained, and tacitly or explicitly utilized within organizational processes.