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Knowledge work can be differentiated from other forms of work by its emphasis on "non-routine" problem solving that requires a combination of convergent and divergent thinking. [2] But despite the amount of research and literature on knowledge work, there is no succinct definition of the term. [3]
In contrast, the work system approach defines work system carefully and uses it as a basic analytical concept. A work system is a system in which human participants and/or machines perform work (processes and activities) using information, technology, and other resources to produce products/services for internal or external customers.
Knowledge-Centered Service (KCS; previously known as Knowledge-Centered Support) is a service delivery method that focuses on knowledge as a key asset of the organization implementing it. Development began in 1992 by the Consortium for Service Innovation , [ 1 ] a non-profit alliance of service organizations.
Knowledge management systems (software) include a range of about 1,500 or more different approaches to collect and contain information to then build knowledge that can be searched through specialised search tools. These include concept building tools and/or visual search tools that present information in a connected manner not originally ...
These systems consist of interlinked knowledge resources, databases, human experts, and artificial knowledge agents that collectively provide an online knowledge for anywhere anytime performance of organizational tasks. The availability of knowledge on an anywhere-anytime basis blurs the line between learning and work performance.
These issues led to the second approach to knowledge engineering: the development of custom methodologies specifically designed to build expert systems. [1] One of the first and most popular of such methodologies custom designed for expert systems was the Knowledge Acquisition and Documentation Structuring (KADS) methodology developed in Europe.
In the 1980s and 1990s, in addition to expert systems, other applications of knowledge-based systems included real-time process control, [6] intelligent tutoring systems, [7] and problem-solvers for specific domains such as protein structure analysis, [8] construction-site layout, [9] and computer system fault diagnosis. [10]
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