Knowledge value in a business organisation is normally associated with its importance on competitive products and/or processes. However, from the point of view of building knowledge networking solutions, it is important to establish an understanding of the variables that influence knowledge value to ensure that relevant relationships are properly considered. From a practical point of view the value of knowledge assets will be dependent on: · their ‘competitive uniqueness’ and associated cost of acquisition or development · utility factors associated with where and how it is used The ‘competitive uniqueness’ of knowledge assets is related to context complexity / specialisation. Data has no context or utility apart from extracting information and therefore little value in its own right. The value of data is in their potential to derive information. Hence data mining has become an important market for software tools that support companies to extract information and therefore value from their data. Information and knowledge value generally increases as context complexity or specialisation increases.
Knowledge value in a business organisation is normally associated with its importance on competitive products and/or processes. However, from the point of view of building knowledge networking solutions, it is important to establish an understanding of the variables that influence knowledge value to ensure that relevant relationships are properly considered.
From a practical point of view the value of knowledge assets will be dependent on:
· their ‘competitive uniqueness’ and associated cost of acquisition or development
· utility factors associated with where and how it is used
The ‘competitive uniqueness’ of knowledge assets is related to context complexity / specialisation.
Data has no context or utility apart from extracting information and therefore little value in its own right. The value of data is in their potential to derive information. Hence data mining has become an important market for software tools that support companies to extract information and therefore value from their data. Information and knowledge value generally increases as context complexity or specialisation increases.