KNOWLEDGE MANAGEMENT A Case Study of Knowledge Management Implementation for Information Consulting Company Chih-Hung Tsai, Ching-Liang Chang, and Lieh.

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KNOWLEDGE MANAGEMENT A Case Study of Knowledge Management Implementation for Information Consulting Company Chih-Hung Tsai, Ching-Liang Chang, and Lieh Chen

STRUCTURE OF KNOWLEDGE Davenport and Prusak – “Working Knowledge”

data to information 5C methods Categorized: To category information to form a message. Calculated: To use mathematical or statistical method to form message. Corrected: To delete uncorrected data to form information. Condensed: To condense the information into a more concise message. Contexualized: To collect data as purpose and description to form message.

information into knowledge 4C method Comparison: To compare information at various conditions. Consequences: What does the information imply to decision and action? Connections: What is the connection between knowledge generated by information and other parts of knowledge? Conversations: By direct communication with others to get their comment to the information.

KNOWLEDGE explicit knowledge More objective and concrete definite language, and disperse and propagate into surroundings. tacit knowledge more related to personal emotion and experience it is subjective and unique, and cannot be solidified and unified. knowledge is most valuable for enterprise, but it is easily disappear when some employees quit their jobs

Knowledge

knowledge management is a systematic approach to utilize the expert’s comments to improve innovation, responsiveness, productivity, and capability of an organization. No matter what the information, experience, operation procedure, or systematized document are, they can be structured and effectively used to form a powerful tool for the enterprise. The objective of knowledge management is to build an integration environment for knowledge exchange, and to link the knowledge created by each employee. LOTUS 1998 Development Report

Knowledge transformation model 1. Unification Tacit knowledge can be converted from tacit knowledge by sharing each individual experience. In order words, through exchanging our own experience and acknowledgement with others, a mutual agreement can be achieved. This process notes as person to person. 2. Externalization Explicit knowledge can be converted from tacit knowledge by using implication, analogy, concept, assumption, and model to sufficiently express tacit knowledge. In other words, through communication of our experience and acknowledgement with organization, a solid organization concept can be established. This process notes as person to organization. 3. Combination Converting explicit knowledge into explicit knowledge does this process. In other words, by effective and systematic management, it can make a significant contribution to organization. 4. Internalization Converting explicit knowledge into tacit knowledge does this process. When the xperience is internalized into individual tacit knowledge through unification, externalization, and combination, it becomes a valuable asset. In other words, information from books, Internet, and other resources can become individual tacit knowledge through reading. This process notes as explicit knowledge to increase person’s knowledge. proposed by Nonaka and Takeuchi

KM STRATEGY systematic strategy, in which the knowledge is carefully classified and encoded. The encoded Knowledge is then stored in the database so that every member in the organization can be easily accessed. personalized strategy Sharing and exchanging information is done by interpersonal contact. performance evaluation methods to ensure knowledge sharing and flowing in the organization

KM BENEFITS Increasing the value and amount of an organization overall knowledge Elevating the service skill of consulting and advising, customer satisfaction, and transferring of knowledge Enhancing the interior exchanging within an organization and the efficiency of obtaining the knowledge Increasing the knowledge learning ability for groups and individuals

Enterprise Intelligent Quotient (EIQ) To handle the information is to distinguish the data and information effectively. Only effective information and data can transform into useful knowledge, which is beneficial to an organization. The key point is not at the structure of information technology, but relies on the active learning and effective information distinguishing. By way of learning, handling, and unlimited sharing, it can create a positive and beneficial knowledge for the enterprise. A so-called intelligence asset is formed, which transforms the materiality into immateriality so as to become the competitiveness of an enterprise.

KM STRUCTURE Koenig (1998) Koenig (1998)

KM SYSTEM & ARCHITECTURE