Knowledge Management: Explicit and Tacit Knowledge

Questions and Answers

To increase awareness, foster learning, and speed collaboration and innovation

To capture tacit knowledge from an expert

To match a user's query to many sources of information

To document and measure flows of information among individuals and organizations Signup and view all the answers

To describe other data Signup and view all the answers

To enable a novice to perform at the level of an expert Signup and view all the answers

Problem-solving with incomplete information Signup and view all the answers

To understand visual images and approximate human perception Signup and view all the answers

A conditional statement that links conditions to actions and outcomes Signup and view all the answers

Ability to learn from experiences Signup and view all the answers

Study Notes

A range of practices focused on increasing awareness, fostering learning, speeding collaboration and innovation, and exchanging insights.

Explicit Knowledge: documented, stored, and codified knowledge, such as standard procedures, product formulas, customer contact lists, market research results, and patents.
Tacit Knowledge: know-how developed through personal experience, involving intangible factors like beliefs, perspective, and value systems.

Shadowing: a process where a novice observes an expert to learn how they perform their job.
Joint Problem Solving: a novice and expert work together to solve a problem, allowing the expert's approach to be revealed to the novice.

Community of Practice (CoP): a group of individuals sharing common goals and interests, regularly engaging in sharing and learning to achieve those goals.
Organizational Network Analysis (ONA): technology used to document and measure information flows among individuals, groups, and organizations.

Metadata: data that describes other data.
Business Rule Management System (BRMS): software used to define, execute, monitor, and maintain decision logic in operational systems and processes.
Enterprise Search: application of search technology to find information within an organization.
Enterprise Search Software: software that matches a user's query to multiple sources of information to identify the most important and relevant content.

Electronic Discovery (E-Discovery): the process of seeking, locating, securing, and searching electronic data for use as evidence in legal cases.
Artificial Intelligence (A.I.): the ability to mimic or duplicate human brain functions.
A.I. System: a comprehensive system involving people, procedures, hardware, software, data, and knowledge to develop computer systems that simulate human intelligence processes.
Intelligent Behaviour: the ability to learn, apply knowledge, handle complex situations, solve problems, and understand visual images.
Perceptive System: a system that approximates human perception, seeing, hearing, and feeling objects.
Expert System: a system that stores knowledge and makes inferences, enabling novices to perform at the level of an expert.
Rule: a conditional statement linking conditions to actions and outcomes.