By Frank Lillehagen, John Krogstie
Enterprise Modeling has been outlined because the paintings of externalizing firm wisdom, i.e., representing the center wisdom of the firm. even if necessary in product layout and platforms improvement, for modeling and model-based techniques to have a extra profound influence, a shift in modeling methods and methodologies is important. Modeling may still develop into as typical as drawing, sketching and scribbling, and may offer strong providers for shooting work-centric, work-supporting and generative wisdom, for protecting context and making sure reuse. an answer is the applying of lively wisdom Modeling (AKM).
The AKM know-how is set learning, externalizing, expressing, representing, sharing, exploring, configuring, activating, becoming and handling firm wisdom. An AKM answer is ready exploiting the internet as a data engineering medium, and constructing knowledge-model-based households of systems, model-configured places of work and services.
This e-book used to be written through the inventors of AKM coming up out in their cooperation with either scientists and commercial practitioners over a protracted time period, and the authors supply examples, instructions, equipment and providers to allow new methods of operating, exploiting the AKM method of let powerful c-business, company layout and improvement, and lifecycle administration. managers and layout engineers becomes conscious of the manifold probabilities of, and further values in, IT-supported disbursed layout procedures, and researchers for collaborative layout environments will locate plenty of stimulation and plenty of examples for destiny advancements.
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Additional resources for Active Knowledge Modeling of Enterprises
Supporting proactive learning in visual scenes by role-playing, dryruns, and experimentation When we are able to support these properties then we are closer to truly supporting holistic design, problem-solving, and organizational team learning. 10 Implications and Impacts The demand for AKM technology will explode once western industry faces head on competition from India and China. Global networking will require full integration of enterprise teams across cultures, collaborative design, and global team-composition.
6 on new approaches to industrial solutions. The dynamic evolution and adaptation of work-generative content and context, the workplace composition, and the user preferences are impossible to support by programming and compiling the logic. This is simply because any extension or adaptation of contents in one solution model and its views need to be reflected in other models and views that will be used to model-configure other workplaces. The tasks to be executed are totally dependent on the context created by interrelating workplace contents and configuration models.
Learning by doing, performing work, integrating pedagogical and organizational approaches has the advantage of exploiting visual scenes of action, interactivity, collaboration, and context-awareness, all supporting proactive learning. Longer term adaptive and intuitive learning services, able to support learning through self-configuration from knowledge architecture contents and experiences of the learners’ behavior, should be supplied. Crossdisciplinary research on the synergies between learning and cognition in humans and machines should lead to systems able to identify learner’s requirements, intelligently monitoring progress, capable of exploiting learners’ abilities to let them learn faster.