@article{(Open Science Index):https://publications.waset.org/pdf/7041,
	  title     = {Modeling of Knowledge-Intensive Business Processes},
	  author    = {Eckhard M. Ammann},
	  country	= {},
	  institution	= {},
	  abstract     = {Knowledge development in companies relies on
knowledge-intensive business processes, which are characterized by
a high complexity in their execution, weak structuring,
communication-oriented tasks and high decision autonomy, and often the need for creativity and innovation. A foundation of knowledge development is provided, which is based on a new conception of
knowledge and knowledge dynamics. This conception consists of a three-dimensional model of knowledge with types, kinds and qualities. Built on this knowledge conception, knowledge dynamics is
modeled with the help of general knowledge conversions between
knowledge assets. Here knowledge dynamics is understood to cover
all of acquisition, conversion, transfer, development and usage of
knowledge. Through this conception we gain a sound basis for
knowledge management and development in an enterprise. Especially
the type dimension of knowledge, which categorizes it according to
its internality and externality with respect to the human being, is crucial for enterprise knowledge management and development,
because knowledge should be made available by converting it to
more external types.
Built on this conception, a modeling approach for knowledgeintensive
business processes is introduced, be it human-driven,e-driven or task-driven processes. As an example for this approach, a model of the creative activity for the renewal planning of
a product is given.},
	    journal   = {International Journal of Industrial and Systems Engineering},
	  volume    = {6},
	  number    = {11},
	  year      = {2012},
	  pages     = {3144 - 3150},
	  ee        = {https://publications.waset.org/pdf/7041},
	  url   	= {https://publications.waset.org/vol/71},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 71, 2012},
	}