Über Corporate Knowledge Discovery and Organizational Learning
This book investigates organizational learning from a variety of
information processing perspectives. Continuous change and complexity in
regulatory, social and economic environments are increasingly forcing
organizations and their employees to acquire the necessary job-specific
knowledge at the right time and in the right format. Though many regulatory
documents are now available in digital form, their complexity and diversity
make identifying the relevant elements for a particular context a challenging task.
In such scenarios, business processes tend to be important sources of
knowledge, containing rich but in many cases embedded, hidden knowledge.
This book discusses the possible connection between business
process models and corporate knowledge assets; knowledge extraction approaches
based on organizational processes; developing and maintaining corporate
knowledge bases; and semantic business process management and its relation to
organizational learning approaches. The individual chapters reveal the different
elements of a knowledge management solution designed to extract, organize and
preserve the knowledge embedded in business processes so as to: enrich
organizational knowledge bases in a systematic and controlled way, support
employees in acquiring job role-specific knowledge, promote organizational
learning, and steer human capital investment. All of these topics are analyzed
on the basis of real-world cases from the domains of insurance, food safety,
innovation, and funding.
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