Knowledge Management — Channel Summaries
AI-powered summaries of 27 videos about Knowledge Management.
27 summaries
Introduction to KM
Knowledge management hinges on a simple but consequential shift: raw data becomes actionable knowledge only when it’s applied in a specific context....
Process and models of KM cycle.
Knowledge management cycles turn scattered know-how into a usable organizational asset—so firms can retrieve it fast, apply it correctly, and reuse...
KM System Life Cycle (KSLC)
A knowledge management system is defined less by storing information and more by turning usable know-how into an organizational asset—so it can be...
Introduction to KM (Contd.)
Knowledge management hinges on a practical insight: valuable decisions and performance depend on how well organizations move between tacit and...
Knowledge creation and architecture.
Knowledge creation is the make-or-break stage in knowledge management because organizations can’t compete without generating new knowledge. The...
Why KM
Knowledge management is positioned as a business process that captures and applies the knowledge an organization needs to operate more...
Aligning KM and business strategy
Knowledge management strategy has to be tied directly to business strategy—otherwise knowledge work stays disconnected from competitiveness,...
Capturing tacit knowledge
Capturing tacit knowledge hinges on one practical step: converting hard-to-explain expertise held by people into explicit, codified knowledge that...
Knowledge Infrastructure
Knowledge infrastructure is the technological backbone of a knowledge management system, and it determines whether captured knowledge can be stored,...
Process and models of KM cycle(CONTD)
Wiig’s KM cycle frames knowledge management around two linked problems: where knowledge is built and used (individual, team, organization) and how...
Knowledge Audit
Knowledge audit is the step that decides whether the right knowledge—accurate, consistent, relevant, and usable—gets built into a knowledge...
Managerial issues
Workplace knowledge management runs into a cluster of ethical, legal, and managerial problems that can’t be treated as afterthoughts. Managers and...
Knowledge codification (Contd.)
A knowledge management cycle becomes useful only after organizations turn scattered know-how into an explicit knowledge map—and then make that...
Knowledge Portals
Data mining only delivers trustworthy results when organizations treat data quality, sampling, modeling assumptions, and business purpose as...
Capturing tacit knowledge (contd.)
Capturing tacit knowledge from experts depends less on asking more questions and more on designing an interview and decision process that produces...
System development: system testing and deployment
Testing and deployment become the make-or-break phase after a knowledge management system has already captured knowledge from databases and codified...
Evaluation of KM effectiveness: Tools and
Evaluating whether a knowledge management (KM) system is effective comes down to two linked tasks: quantify the return on KM investments and make...
Analysis, design of KM system
A knowledge management system blueprint is essentially a roadmap for building and steadily improving a KM setup—down to the architecture, components,...
Data mining
Data mining turns large, unused repositories of data into actionable knowledge that supports business decisions—especially in competitive...
Knowledge Infrastructure (Contd.)
Tagging knowledge with well-defined attributes is the linchpin for making search work in a knowledge management system. Because retrieval relies on...
System development: system testing and deployment (cond.)
User acceptance testing and evaluation criteria come first, but the real through-line is how a knowledge management system earns trust before it ever...
Inferences from data.
Knowledge management systems turn stored data into business value by drawing inferences—through learning tools, data mining, and validation...
Metrics
Benchmarking turns goals into measurable standards—then tests whether performance beats those targets, not just whether it looks “average.” The core...
Legal issues
Measuring knowledge management systems is only half the job; legal, ethical, and managerial constraints determine whether knowledge can be captured,...
Developing the KM system
Building a knowledge management (KM) system means assembling multiple layers so users can reliably reach content, security stays intact, and...
Analysis, design of KM system (contd.)
Collaborative filtering in knowledge management hinges on how well people’s preferences and trust-based relationships can be leveraged—either through...
Data Management
Data management is presented as a layered decision system: databases and data warehouses feed exploration and analytics, which then produce patterns...