Active Knowledge Modeling of Enterprises by Frank Lillehagen, John Krogstie

By Frank Lillehagen, John Krogstie

Enterprise Modeling has been outlined because the artwork of externalizing firm wisdom, i.e., representing the middle wisdom of the firm. even though worthwhile in product layout and structures improvement, for modeling and model-based techniques to have a extra profound impression, a shift in modeling techniques and methodologies is important. Modeling may still develop into as typical as drawing, sketching and scribbling, and may supply robust providers for shooting work-centric, work-supporting and generative wisdom, for conserving context and making sure reuse. an answer is the applying of energetic wisdom Modeling (AKM).

The AKM expertise is ready learning, externalizing, expressing, representing, sharing, exploring, configuring, activating, becoming and coping with firm wisdom. An AKM answer is ready exploiting the net as a data engineering medium, and constructing knowledge-model-based households of structures, model-configured places of work and services.

This e-book used to be written by means of the inventors of AKM coming up out in their cooperation with either scientists and business practitioners over a protracted time period, and the authors provide examples, instructions, equipment and prone to let new methods of operating, exploiting the AKM method of let potent c-business, company layout and improvement, and lifecycle administration. managers and layout engineers turns into conscious of the manifold chances of, and extra values in, IT-supported allotted layout methods, and researchers for collaborative layout environments will locate plenty of stimulation and plenty of examples for destiny advancements.

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Active Knowledge Modeling of Enterprises

Company Modeling has been outlined because the paintings of externalizing company wisdom, i. e. , representing the center wisdom of the firm. even though beneficial in product layout and structures improvement, for modeling and model-based techniques to have a extra profound influence, a shift in modeling ways and methodologies is important.

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This understanding has enabled the implementation and operation of Active Knowledge Architectures (AKA)â„¢, enabling industrial users to define and manage their own detailed knowledge elements, local data, views, and modelconfigured services. The four categories of generic work-sensitive knowledge spaces we have discovered and modeled are defined and identified by simple names on the four key knowledge dimensions defining each space: 1. The role-specific knowledge space, defined by information, role, task, and view, abbreviated and referenced as IRTV 2.

The role-specific knowledge space, defined by information, role, task, and view, abbreviated and referenced as IRTV 2. The innovation space, defined by product, organization, process, and system, and abbreviated and referenced as POPS 3. The business space, defined by services, networking assets, projects, and platforms, and abbreviated and referenced as SNPP 4. The community space, defined by values, resources, initiatives, and infrastructures, and abbreviated and referenced as VRII. These knowledge spaces exist in all enterprises from two people collaborating to global value-chains.

6 Enterprise Knowledge Spaces The first enterprise knowledge space, defined by the product, organization, process, and Systems (POPS) dimensions, was discovered as early as 1992. Its integrating capabilities were confirmed in EU projects during the late 1990s, and a uniform modeling language was developed in the ATHENA project in 2005 (Ziemann et al. 2006). A major contribution to the discovery was work performed in the automotive industry on war-room or multidimensional thinking and Doug Engelbart’s bootstrap approach.

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