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Preface for the Third Edition - Read

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74 B. Concepts and Theories<br />

speak of knowledge with its connotations of abstraction, progress, permanency and<br />

mentalism, but of <strong>the</strong> processes of knowing and doing which take place in a<br />

(socially-distributed) activity system 116 . These systems provide a new unit <strong>for</strong> <strong>the</strong><br />

analysis of <strong>the</strong> dynamic relationships among individuals, <strong>the</strong>ir communities and <strong>the</strong><br />

conception(s) <strong>the</strong>y have of <strong>the</strong>ir activities. Blackler suggests not to study <strong>the</strong> concepts<br />

of knowledge, individuals, organization or factors that mediate between <strong>the</strong>m<br />

in isolation, but to focus on <strong>the</strong> dynamics of knowing with <strong>the</strong> help of <strong>the</strong> sociallydistributed<br />

activity system. Knowing in this perspective is a phenomenon which is<br />

mediated: manifest in systems of language, technology, collaboration and control,<br />

situated: located in time and space and specific to particular contexts,<br />

provisional: constructed and constantly developing,<br />

pragmatic: purposive and object-oriented,<br />

contested: interrelated with <strong>the</strong> concept of power in organizations which are<br />

observable in hierarchies of domination and subordination, leadership etc.<br />

(Blackler 1995, 1040ff).<br />

To sum up, <strong>the</strong> concept of knowing ra<strong>the</strong>r than knowledge and <strong>the</strong> concept of<br />

socially-distributed activity systems ra<strong>the</strong>r than isolated entities (individuals,<br />

knowledge, organization and ICT systems) suggest that <strong>the</strong> crucial aspects of KM<br />

might be missed if we concentrate on separable entities too much. As a consequence,<br />

KM instruments supported by KMS have to consider <strong>the</strong> context in terms<br />

of <strong>the</strong> agents and communities which <strong>the</strong>y are applied in (see also part D).<br />

Multi-faceted knowledge. Design and implementation of KMS differ from design<br />

and implementation of more traditional application systems. The term knowledge<br />

as used here comprises among o<strong>the</strong>rs valuations, opinions or <strong>for</strong>ecasts, whereas<br />

more traditional application systems more or less exclusively focus on hard data.<br />

Also, <strong>the</strong> design of KMS has to consider <strong>the</strong> multiple electronically available<br />

sources of data such as documents, files, messages, contributions in newsgroups,<br />

multimedia elements or links to <strong>the</strong>se sources which all might contain useful<br />

knowledge once structured, linked and contextualized. Thus, KMS can be combined<br />

with an organization’s already existing in<strong>for</strong>mation systems.<br />

Role of knowledge in different types of organizations. Classifications of knowledge<br />

can be used to postulate different requirements or perspectives <strong>for</strong> KM initiatives<br />

and supporting ICT. For example, Blackler uses his classification of knowledge<br />

(see Table B-3) to distinguish four types of organizations which also require<br />

<strong>the</strong> support of different ICT (Blackler 1995, 1026ff). Table B-4 shows <strong>the</strong> four<br />

types of organizations distinguished.<br />

The distinction uses <strong>the</strong> organizational level from which <strong>the</strong> primary contributions<br />

to <strong>the</strong> fulfilment of organizational goals is expected (individual versus collec-<br />

116. Blackler 1995, Spender 1996a, see section 6.6.2 - “Activity modeling” on page 250 <strong>for</strong><br />

an account of <strong>the</strong> modeling of socially-distributed activity systems.

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