"Knowledge management (KM) is the collection of methods relating to creating, sharing, using and managing the knowledge and information of an organization."
The processes and methods that organizations use to store, organize, and retrieve knowledge.
Knowledge management (KM): The systematic approach to creating, sharing, using and managing knowledge and information within an organization.
Knowledge storage: The process of storing knowledge and information in a systematic way that can be easily accessed and retrieved when needed.
Knowledge retrieval: The process of retrieving knowledge and information that has been stored within an organization.
Information architecture: The practice of organizing, structuring, and labeling content in an effective and sustainable way for easy navigation and retrieval.
Taxonomy: A classification system used to organize and categorize knowledge and information in a logical and consistent manner.
Ontology: A formal description of concepts and relationships within a specific domain, used to represent knowledge and information in a machine-readable format.
Information retrieval (IR): The process of retrieving relevant information from a large collection of data, using various search techniques and algorithms.
Search engines: Software tools used to search and retrieve information from large databases or the internet.
Knowledge representation: The process of creating a model or framework for knowledge and information that can be easily understood and shared.
Semantic technologies: Tools and techniques used for capturing, storing, and retrieving knowledge and information based on the meaning or context of the data.
Data mining: The process of discovering patterns and insights from large datasets using statistical and computational methods.
Artificial intelligence (AI): Tools and techniques used to mimic human intelligence, including natural language processing and machine learning.
Cognitive computing: A form of AI that uses advanced algorithms and neural networks to simulate human thinking and decision-making processes.
Knowledge transfer: The process of transferring knowledge from one person or group to another, often through training, mentoring, or collaboration.
Knowledge reuse: The practice of leveraging existing knowledge and information to solve new problems or challenges, rather than reinventing the wheel.
Collaboration and social learning: The practice of working together and sharing knowledge and information through social networks, online communities, and other collaborative tools.
Intellectual property (IP) and copyright: Legal and ethical issues related to the ownership and use of knowledge and information within an organization.
Knowledge management tools and technologies: Software tools and platforms used to support knowledge storage, retrieval, and sharing within an organization.
Document Management System (DMS): A digital system that stores, manages, and tracks documents, allowing users to easily access, share, and collaborate on documents.
Content Management System (CMS): A digital system that manages, organizes, and publishes content, such as articles, images, and videos, in a centralized location.
Knowledge Management Portal (KMP): A web-based portal that provides employees with access to a wide range of organizational knowledge, including policies, procedures, and best practices.
Knowledge Management System (KMS): A system that collects and manages organizational knowledge, such as knowledge bases, manuals, and training materials.
Learning Management System (LMS): A digital platform that manages and tracks employee training and development, including online courses and certifications.
Enterprise Social Network (ESN): A social networking platform designed specifically for businesses to promote collaboration, communication, and knowledge sharing among employees.
Expert System (ES): A computer program that uses artificial intelligence (AI) and machine learning to simulate the decision-making capabilities of human experts.
Business Intelligence (BI) system: A system that analyzes and interprets data to provide business insights and support strategic decision-making.
Data Warehousing: A process that involves collecting, storing, and managing large amounts of data to support business analysis and decision-making.
Customer Relationship Management (CRM) system: A system that helps organizations manage customer relationships, track sales, and identify opportunities for growth.
Digital Asset Management (DAM) system: A system that manages and stores digital assets, such as images, videos, and audio files, in a searchable and organized manner.
Search Engine: A software system that allows users to search for specific information within a digital repository or database.
Taxonomy: A hierarchical classification system used to organize information and knowledge in a systematic manner.
Ontology: A formal representation of the relationships between concepts and categories within a specific domain of knowledge.
Natural Language Processing (NLP): A technology that enables computers to analyze and understand human language, allowing for more effective search and retrieval of information.
"An established discipline since 1991..."
"Other fields may contribute to KM research, including information and media, computer science, public health and public policy."
"Several universities offer dedicated master's degrees in knowledge management."
"Many large companies, public institutions, and non-profit organizations have resources dedicated to internal KM efforts..."
"Knowledge management efforts typically focus on organizational objectives such as improved performance, competitive advantage, innovation, the sharing of lessons learned, integration, and continuous improvement of the organization."
"These efforts overlap with organizational learning and may be distinguished from that by a greater focus on the management of knowledge as a strategic asset and on encouraging the sharing of knowledge."
"KM is an enabler of organizational learning."
"The most complex scenario for knowledge management may be found in the context of supply chain as it involves multiple companies without an ownership relationship or hierarchy between them, being called by some authors as transorganizational or interorganizational knowledge."
"That complexity is additionally increased by industry 4.0 (or 4th industrial revolution) and digital transformation, as new challenges emerge from both the volume and speed of information flows and knowledge generation."
"[KM] includes courses taught in the fields of business administration, information systems, management, library, and information science."
"...often as a part of their business strategy, IT, or human resource management departments."
"...often as a part of their business strategy..."
"KM efforts... focus on the management of knowledge as a strategic asset and on encouraging the sharing of knowledge."
"KM efforts typically focus on organizational objectives such as... innovation..."
"...as new challenges emerge from both the volume and speed of information flows and knowledge generation."
"Other fields may contribute to KM research, including information and media, computer science, public health and public policy."
"Other fields may contribute to KM research, including information and media..."
"KM efforts typically focus on organizational objectives such as improved performance..."
"KM efforts typically focus on organizational objectives such as... competitive advantage..."