Knowledge management process is the dynamic interaction of thought agents and the organization’s database to build and enhance the knowledge system of a company. Specifically, the process highlights human creation of available know-how so that it can be successfully inputted in the knowledge base of the company to further create quality output.
The process of knowledge management can be clearly shown either through the basic IPO model or through the process systems model. The former illustrates the knowledge process in simple linear presentation while the latter introduces several stages to enrich the knowledge base.
IPO stands for input-process-output presentation. It is a fairly simple graph of how knowledge management works. In the IPO model, tacit knowledge or commonly known as common knowledge is introduced into the system. Other knowledge agents then can learn new idea, methods and procedures. The process of learning then is codified in order for knowledge to be accepted as truth. This codified knowledge then will be used to create output for the company.
The knowledge systems model on the other hand uses knowledge controller agents and possessors as separate stages in the process. Basically when input is introduced into the system, it will pass through the controller agents that determine whether the input is useful or not. If the knowledge is useful, it will be released in the learning process and acted upon by the processors. This then will create new output which is basically a crystallization or enhancement of the original tacit knowledge.