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In a knowledge economy, human intelligence is the key engine of economic development. It is an economy where members acquire, create, disseminate and apply knowledge to facilitate economic and social development. [23] [24] An economic system that is not knowledge-based is considered to be inconceivable. [25]
Knowledge retention projects are usually introduced in three stages: decision making, planning and implementation. There are differences among researchers on the terms of the stages. For example, Dalkir talks about knowledge capture, sharing and acquisition and Doan et al. introduces initiation, implementation and evaluation.
The earlier term for the discipline was "political economy", but since the late 19th century, it has commonly been called "economics". [22] The term is ultimately derived from Ancient Greek οἰκονομία (oikonomia) which is a term for the "way (nomos) to run a household (oikos)", or in other words the know-how of an οἰκονομικός (oikonomikos), or "household or homestead manager".
Also called resource cost advantage. The ability of a party (whether an individual, firm, or country) to produce a greater quantity of a good, product, or service than competitors using the same amount of resources. absorption The total demand for all final marketed goods and services by all economic agents resident in an economy, regardless of the origin of the goods and services themselves ...
Much of the initial theories about the advent of a fundamentally new era in which economic activity is increasingly 'abstract', i.e., disconnected from land, labour, and physical capital (machines and industrial infrastructure) and also capital in terms of fund was associated with the 'business management' literature of the 'new economy' NASDAQ bubble, which collapsed in 2001 (but slowly ...
Pages for logged out editors learn more. Contributions; Talk; Knowledge capture
In economics, the local knowledge problem is the argument that the information required for rational economic planning is distributed among individual actors and thus unavoidably exists outside the knowledge of a central authority.
Knowledge acquisition is the process used to define the rules and ontologies required for a knowledge-based system. The phrase was first used in conjunction with expert systems to describe the initial tasks associated with developing an expert system, namely finding and interviewing domain experts and capturing their knowledge via rules ...