Knowledge Management

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Article: The Ethic of Knowledge Management

Author: Frank Land ( London School Economic), Urooj Amjad (London School Economic), Sevasti Merlissa Nolas (London School Economic),
Published By: International Journal of Knowledge Management
Year: 2007

1.0 Introduction
For any Business organization, the present business environments are no longer predictable as they are changing rapidly to exist in the competitive environment. The success or failure for an organization entirely depends on its adjustments to the present business environment. The tremendous change in the Information technology has changed the way of doing business by the organizations and reduced the risks or filled the gaps between accessing and maintaining the information and changing that information into a valuable knowledge for future needs. Many of the organizations who take the advantage of the technology follow the above said process. Still many organizations lack applying their organization’s intellectual knowledge for value added or for a competitive advantage. The solution is The Knowledge Management which translates the organization’s capabilities into a defined knowledge which can (will) be useful for its future business needs. The Knowledge whether it is tacit or explicit is represented in databases or documents or in other words it can be defined as the capturing of the organization’s knowledge from various processes and departments (which includes both individual knowledge and paper or document knowledge) like product department, customer department, finance department etc. which can be used for many future needs of the organization like this captured knowledge can be used for future innovations and all the processes can be viewed as knowledge processes which can be distributed easily and upgraded instantly for the business survival.

2.0 Knowledge Creation codifications
Knowledge Management Life Cycle:
There are certain pre-defined phases which are to be followed for creating knowledge centric organization all together can be termed as Knowledge management life cycle. The phases are Knowledge creation, Knowledge capturing or collecting, knowledge organizing, knowledge refinement, knowledge distribution and maintenance phase. The Knowledge creation can be achieved from the past experience of an individual or a team who undergoes in performing or completing certain job in a specific time in an organization and whose experience from starting of that job to its completion is considered as knowledge and is used in future when performing the same task with corrective steps. The Knowledge capturing phase includes capturing the knowledge both tacit and explicit using certain tools. This phase primarily focuses on bringing out the knowledge and present in a form which is useful for the users. The next phase is the knowledge organising phase in which the organizing of the captured data is done using different methods like clustering, codifying, filtering, cataloguing etc. so that useful knowledge can be generated. The next phase the Knowledge refinement phase which means the conversion of the explicit knowledge captured is done into tacit knowledge using the data mining technique. Data mining is software which gives different patterns for data organising and analyses the future risks based on the data supplied. The next phase is the knowledge distribution phase where the knowledge is made available to the users or employees with certain guidelines to improve their day to day performing activities and the organizations business needs. The last phase is the maintenance phase which gives the assurance that the knowledge which is shared is reliable and accurate meeting the organization’s business needs. In this way the knowledge management is implemented in an organization in different phases. The ideal goal of the implementation of the knowledge management system is not creating or maintaining the knowledge in repositories...
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