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Give similarities and differences between Conventional and KM System Life Cycle

Question

Give similarities and differences between Conventional and KM System Life Cycle.

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Solution

Conventional System Life Cycle and Knowledge Management (KM) System Life Cycle are both methodologies used in the development and management of systems within an organization. They both involve a series of steps or phases that are followed in a sequential manner. However, they differ in their focus, approach, and the specific steps involved.

Similarities:

  1. Both are systematic approaches: Both the Conventional and KM System Life Cycle follow a systematic approach to system development. They both involve a series of steps that need to be followed in a particular order.

  2. Both involve planning: Both methodologies require a significant amount of planning. This includes identifying the needs of the system, setting objectives, and determining the resources required.

  3. Both require maintenance: Both the Conventional and KM System Life Cycle require regular maintenance and updates to ensure that the system remains effective and relevant.

Differences:

  1. Focus: The Conventional System Life Cycle is typically used for the development of traditional information systems, such as databases or software applications. On the other hand, the KM System Life Cycle is used for the development of systems that manage and distribute knowledge within an organization.

  2. Approach: The Conventional System Life Cycle follows a linear approach, where each phase is completed before moving on to the next. In contrast, the KM System Life Cycle follows a more iterative approach, where the steps are repeated until the desired outcome is achieved.

  3. Steps involved: The steps involved in the two methodologies are different. The Conventional System Life Cycle typically involves the following steps: system investigation, system analysis, system design, system implementation, and system maintenance. The KM System Life Cycle, on the other hand, involves steps such as knowledge capture, knowledge sharing, knowledge application, and knowledge creation.

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