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Corporate Knowledge Discovery and Organizational Learning - The Role, Importance, and Application of Semantic Business Process Management (Paperback, Softcover reprint of the original 1st ed. 2016)
Loot Price: R3,276
Discovery Miles 32 760
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Corporate Knowledge Discovery and Organizational Learning - The Role, Importance, and Application of Semantic Business Process Management (Paperback, Softcover reprint of the original 1st ed. 2016)
Series: Knowledge Management and Organizational Learning, 2
Expected to ship within 10 - 15 working days
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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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