1 / 10

Chapter 11

Chapter 11. Managing Knowledge. Dimensions of Knowledge. Terms. Knowledge Management – business processes developed in an organization/create, store, transfer, apply knowledge Acquisition Storage Dissemination Application

jerrod
Télécharger la présentation

Chapter 11

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Chapter 11 Managing Knowledge

  2. Dimensions of Knowledge

  3. Terms • Knowledge Management – business processes developed in an organization/create, store, transfer, apply knowledge • Acquisition • Storage • Dissemination • Application • Communities of practice(COP) – informal social networks/ people with similar work related interests and activities

  4. Knowledge Management Systems (KMS) • Manage knowledge in your organization • Enterprise-wide (general purpose; collect, store, distribute, and apply digital content and knowledge) • Knowledge work systems (specialized systems; engineers, scientists, etc; discovering and creating new knowledge) • IntelligentTechniques (data mining, expert systems, neural networks, fuzzy logic, etc.)

  5. Enterprise-wide KMS • Types of knowledge • Structured (explicit and formal) • Semistructured (email, chat rooms, etc) • Unstructured (in head – tacit) • Enterprise content management systems • Hold all three types of knowledge • 80 percent of organization’s knowledge is semistructured or unstructured • Can help create a classification scheme (taxonomy)

  6. Enterprise-wide (cont) • Digital asset management systems (work with digital objects) • Knowledge network systems (expertise location and management system; hold information from experts in the firm) • Collaboration tools and learning management systems (LMS) (tools for various types of learning and training) • Social bookmarking • Folksonomies

  7. Knowledge Work Systems • Knowledge workers (create knowledge for organization) • Knowledge work systems (specialized systems for knowledge workers) • Sufficient computing power • Require links to external knowledge bases • Give the worker quick and easy access to databases • Workstations optimized for specific tasks performed Types: • Computer aided design (CAD) • Virtual reality • Programs for web Use VRML • Augmented Reality

  8. Intelligent Techniques For Tacit knowledge Expert systems Case-based reasoning Fuzzy logic For Knowledge discovery Neural Networks Data Mining Artificial Intelligence (computer-based/attempt to emulate human behavior) Power of AI People Power App

  9. Intelligent Techniques (cont) • Expert Systems (tacit knowledge/specific and limited domain of human expertise) • Knowledge base (rules) • Inference engine (search) • Forward chaining (Info entered by user; searches rule base for conclusion) • Backward chaining (starts with hypothesis; try to confirm or disprove) • Case based reasoning (CBR) (past experiences of human specialists/organizational knowledge/stored in database/look for similar parameters)

  10. Intelligent Techniques (cont) • Fuzzy Logic (rule based/approximate or subjective values/for imprecise info) • Neural networks (look for patterns and relationships in data) • Genetic algorithms (finding optimal solution/based on evolutionary biology techniques) • Hybrid AI systems (integrate genetic algorithms, fuzzy logic, neural networks, expert systems) • Intelligent agents (software programs/work in background/carry out tasks for user) • Agent-based modeling (model behavior of humans)

More Related