Formation of a KM Team

Knowledge Management

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Formation of a KM Team

Forming a KM team usually means

 Identifying the key units, branches, and divisions etc. as the key stakeholders in the prospective KM system.
 Strategically, technically, and organizationally balancing the team size and competency.

Factors impacting team success

 Quality and capability of team members (in terms of personality, experience, and communication skill).
 Size of the team.
 Complexity of the project.
 Team motivation and leadership.
 Promising only what that can be actually delivered.

Capturing Knowledge

 Capturing Knowledge involves extracting, analyzing and interpreting the concerned knowledge that a human expert uses to solve a specific problem.
 Explicit knowledge is usually captured in repositories from appropriate documentation, files etc.
 Tacit knowledge is usually captured from experts, and from organization’s stored database(s).
 Interviewing is one of the most popular methods used to capture knowledge.
 Data mining is also useful in terms of using intelligent agents that may analyze the data warehouse and come up with new findings.
 In KM systems development, the knowledge developer acquires the necessary heuristic knowledge from the experts for building the appropriate knowledge base.
 Knowledge capture and knowledge transfer are often carried out through teams.
 Knowledge capture includes determining feasibility, choosing the appropriate expert, tapping the experts’ knowledge, retapping knowledge to plug the gaps in the system, and verify/validate the knowledge base.

Role of Rapid Prototyping

 In most of the cases, knowledge developers use iterative approach for capturing knowledge.
 Foe example, the knowledge developer may start with a prototype (based on the somehow limited knowledge captured from the expert during the first few sessions).
 The following can turn the approach into rapid prototyping:
 Knowledge developer explains the preliminary/fundamental procedure based on rudimentary knowledge extracted from the expert during the few past sessions.
 The expert reacts by saying certain remarks.
 While the expert watches, the knowledge developer enters the additional knowledge into the computer-based system (that represents the prototype).
 The knowledge developer again runs the modified prototype and continues adding additional knowledge as suggested by the expert till the expert is satisfied.
 The spontaneous and iterative process of building a knowledge base is referred to as rapid prototyping.
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