Untitled Flashcards Set

What is Organizational Knowledge?

Organizational knowledge refers to the understanding and insights gained through experience within an organization, enabling it to create, store, transfer, and apply knowledge effectively.

What are the three major types of knowledge in an enterprise?

Structured, explicit knowledge; Semi-structured knowledge; Unstructured, tacit knowledge.

What is tacit knowledge?

Tacit knowledge is difficult to transfer through writing or speaking and is gained through personal experience.

What is explicit knowledge?

Explicit knowledge can be easily articulated, accessed, and transmitted to others.

What is Knowledge Management?

A set of business processes developed to create, store, transfer, and apply knowledge within an organization.

Why is Knowledge Management important?

It is important because a significant part of a firm's market value is related to intangible assets like knowledge, brands, and unique business processes.

What are the four stages of Knowledge Management?

1. Knowledge Acquisition 2. Knowledge Storage 3. Knowledge Dissemination 4. Knowledge Application.

What are Enterprise-Wide Knowledge Management Systems?

Systems that collect, store, distribute, and apply digital content and knowledge across the entire organization.

What is a Learning Management System (LMS)?

A system that provides tools for management, delivery, tracking, and assessment of employee learning and training.

What is the role of collaboration tools?

To facilitate communication, document storage, project management, and decision-making within teams.

What are Knowledge Work Systems?

Systems designed to help knowledge workers create new knowledge and integrate it into business operations.

What are Expert Systems?

Computer systems that capture tacit knowledge in specific domains to aid in decision-making.

What is Case-Based Reasoning?

A methodology that uses past cases to help solve new problems based on similarities to previous cases.

What are Genetic Algorithms?

Optimization techniques based on the principles of evolution to find optimal solutions by exploring a large number of possible solutions.

What are Intelligent Agents?

Software programs that perform repetitive tasks autonomously using limited knowledge or learned information.

What are the challenges in AI development?

Challenges include data quality issues, integration of data, speed of development, and the need for regular performance training and validation.