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Preface for the Third Edition - Read

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86 B. Concepts and Theories<br />

4.3.2 Definition<br />

As in <strong>the</strong> case of <strong>the</strong> terms knowledge management and knowledge, knowledge<br />

management systems can be viewed from different perspectives. Examples are:<br />

a focus on ICT support <strong>for</strong> <strong>the</strong> KM life cycle and/or <strong>for</strong> specific organizational<br />

instruments which are implemented as part of a KM initiative,<br />

a focus on <strong>the</strong> proposed analogy between human and organizational in<strong>for</strong>mation<br />

processing, learning and memory,<br />

a review of a set of functions that are part of KMS as offered on <strong>the</strong> market,<br />

extensions and/or <strong>the</strong> integration of existing software tools, such as Intranet<br />

solutions, document management systems, workflow management systems,<br />

Groupware, AI technologies, communication systems.<br />

The KM life cycle provides a basis <strong>for</strong> <strong>the</strong> definition of application areas from<br />

which KMS are designed and consists of a number of KM tasks, e.g., creation, construction,<br />

identification, capturing, acquisition, selection, valuation, organization,<br />

linking, structuring, <strong>for</strong>malization, visualization, distribution, retention, maintenance,<br />

refinement, evolution, accessing, search and application of knowledge155 .<br />

The KM life cycle describes <strong>the</strong> collective development, distribution and application<br />

of knowledge and thus can be used to extend Stein and Zwass’s definition of<br />

organizational memory in<strong>for</strong>mation system which is limited to <strong>the</strong> analogy of an<br />

individual’s memory. It lacks all functions that do not bear this analogy. These<br />

added functions are based on communication as <strong>the</strong> constituent property of social<br />

systems. Communication also distinguishes <strong>the</strong> memory of a social system from an<br />

individual memory. There<strong>for</strong>e, those functions that uniquely occur in collective<br />

memory and learning processes are added to <strong>the</strong> mnemonic functions used in Stein<br />

and Zwass’ definition. Thus, <strong>the</strong> definition of KMS used in this book is based on<br />

(1) <strong>the</strong> analogy between human and organizational in<strong>for</strong>mation processing and (2)<br />

<strong>the</strong> life cycle of KM tasks and processes (see Box B-3).<br />

A knowledge management system (KMS) is an ICT system in <strong>the</strong> sense of an<br />

application system or an ICT plat<strong>for</strong>m that combines and integrates functions <strong>for</strong><br />

<strong>the</strong> contextualized handling of both, explicit and tacit knowledge, throughout <strong>the</strong><br />

organization or that part of <strong>the</strong> organization that is targeted by a KM initiative.<br />

A KMS offers integrated services to deploy KM instruments <strong>for</strong> networks of participants,<br />

i.e. active knowledge workers, in knowledge-intensive business processes<br />

along <strong>the</strong> entire knowledge life cycle.<br />

Ultimate aim of KMS is to support <strong>the</strong> dynamics of organizational learning and<br />

organizational effectiveness.<br />

BOX B-3. Definition of knowledge management system<br />

155. See also section 4.1.4 - “Definition” on page 52; <strong>for</strong> a detailed discussion of <strong>the</strong>se KM<br />

tasks see section 6.3.1 - “Knowledge management tasks” on page 207.

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