MSBI : BI # 40 : Business Intelligence – Tools & Theory # 32 : Knowledge Management #2 : Generic Knowledge Management Process

Hi Folks,

This post is part of Series Business Intelligence – Tools & Theory

Currently running topic for this series is listed as below :

Series Business Intelligence – Tools & Theory

>>Chapter 1 : Business Intelligence an Introduction

>>Chapter 2 : Business Intelligence Essentials

>>Chapter 3 : Business Intelligence Types

>>Chapter 4 : Architecting the Data

>>Chapter 5 : Introduction of Data Mining

>>Chapter 6 : Data Mining Techniques

>>Chapter 7 : Introduction to Data Warehousing

>>Chapter 8 : Different Ways of Data Warehousing

>>Chapter 9 : Knowledge Management<You are here>

Continuing from my previous post on this series, If you have missed any link please visit link below

We are going to Cover the Following Points in this article

  • Generic Knowledge Management Process

Generic Knowledge Management Process

Knowledge Management is a very important activity in any organization. It encompasses various phases that are illustrated by the following Figure


Knowledge Process

1. Knowledge Creation: There are various steps involved in the creation of knowledge. They are:

o Acquisition: It refers to the knowledge that the organization acquires from external sources. However, it is not necessary that the knowledge is new; it could include knowledge copied from competitors or other industries.

o Rental: It refers to acquiring knowledge from an external research unit or hiring a consultant with expertise that is specific to the goal.

o Dedicated resources: It includes utilizing the resources exclusively for a specific purpose. Example: Research and Department Units.

o Fusion: It includes introduction of complex, diverse to create new synergy.

o Adaptation: It ensures the organization to stay on well known paths.

However, there are certain situations when organizations generate a crisis in order to stimulate creativity.

o Networks: It involves defining the problem, analyzing the problem, generating various solutions to the problem, evaluating and selecting the best suited solution, testing and implementing the solution, documenting and sharing the results.

2. Knowledge Storage (Knowledge creation and retrieval): It is very essential to store the knowledge that has been acquired or created. This ensures the retrieval of knowledge whenever needed. The mechanism of storing the knowledge as identified by the knowledge management community is termed as “Organizational Memory”. It includes individual memory, coupled with the shared knowledge and interpretations resulting from social interactions. This includes culture from various organizations, work processes and procedures, structure, ecology.

3. Knowledge Distribution: It is postulated that the process of distributing the knowledge is subjected to the influences same as the process of communications in any organization.

The following Table compares the process of communication and the process of knowledge distribution.

Comparison of Communication Model with Knowledge Distribution

Components of the

Communications Process

Factors Influencing Knowledge Distribution

Sender (Source)

Supposed value of source units knowledge stock


Willingness to acquire knowledge from the source


Existence of transmission channels


Absorptive capacity of the receiver

4. Knowledge Application: For integrating knowledge into various applications in the organization, the following three mechanisms are adapted. They are:

o Directives: It includes a set of rules, standards, procedures and

instructions from tacit knowledge into various explicit forms to ensure communications efficiently to non specialists.

o Organizational routines: It includes various patterns for measuring the performance and coordination of various tasks, interaction protocols, and specifications for various processes.

o Self contained task terms: It includes creation of various teams to attend to various tasks. This includes attending to the tasks that is associated with a high degree of uncertainties and risks.

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