What Is Knowledge Management?

Knowledge management is the systematic process by which organizations capture, integrate, share, use, and maintain knowledge to improve performance and support informed decision-making. It encompasses both the human practices through which expertise is made visible and transferable, and the technical infrastructure that stores, retrieves, and delivers knowledge to those who need it. As a discipline, knowledge management draws on organizational behavior, information science, cognitive science, and information systems engineering.

The field distinguishes between two fundamental categories of knowledge. Tacit knowledge is embedded in individual experience and professional practice and cannot be directly transcribed without interpretation; it includes the judgment, skills, and contextual awareness that practitioners develop over time. Explicit knowledge has been codified into documents, procedures, databases, or structured formats and can be transferred without direct person-to-person interaction.

Knowledge Creation and Capture

The most widely cited theoretical framework for organizational knowledge creation is the SECI model developed by Nonaka and Takeuchi, which describes knowledge generation as a spiral cycling through four conversion modes. As detailed in PMC research on SECI model operationalization, these modes are: socialization (tacit-to-tacit transfer through shared experience), externalization (tacit-to-explicit conversion through documentation and discussion), combination (merging explicit sources into new explicit forms), and internalization (explicit-to-tacit absorption through training and practice). Knowledge capture initiatives typically focus on the externalization mode, since converting tacit expertise into documented, searchable form is where organizations most often lose value when experts retire or leave.

Knowledge Storage and Retrieval

Storing captured knowledge in a way that makes it findable and usable is an information architecture challenge. Knowledge repositories, intranets, document management systems, and enterprise search platforms form the technical backbone. Semantic Web technologies, including RDF (Resource Description Framework) and OWL (Web Ontology Language), allow knowledge to be structured in machine-interpretable ways that support richer queries than conventional keyword search. The ACM Digital Library contains extensive research on retrieval models, ontology-based search, and hybrid systems that combine semantic reasoning with statistical ranking. Management information systems provide the organizational layer through which knowledge repositories connect to business processes.

Knowledge Sharing and Competitive Intelligence

Effective knowledge management requires that knowledge be stored and that it flow across organizational boundaries, teams, and time. Communities of practice, after-action reviews, and expert directories are organizational mechanisms designed to facilitate sharing. Competitive intelligence is a knowledge management application that systematically gathers, analyzes, and distributes information about the competitive environment to decision-makers. The Taylor & Francis knowledge management reference situates knowledge sharing within the broader context of organizational learning, where the goal is to ensure that knowledge gained in one project or team benefits others across the organization.

Applications

Knowledge management has applications across many sectors, including:

• Enterprise search and internal documentation platforms
• Competitive intelligence and strategic planning support
• Engineering knowledge reuse in product development and design
• Healthcare quality improvement through clinical practice repositories
• Customer service and support systems with structured knowledge bases
• Reliability management through lessons-learned databases in safety-critical industries