Yes, Knowledge Management Systems (KMS) are generally IT-based because they use technology to capture, store, organize, and share knowledge within an organization. These systems often take the form of databases, collaboration platforms, intranets, or AI-driven tools that make information easy to access and apply. By relying on IT, businesses can improve decision-making, productivity, and innovation. Solutions like mindkeeper are great examples of how technology supports effective knowledge management.
Knowledge-based systems
Knowledge management systems in the enterprise help capture, store, and share knowledge within the organization. These systems enable employees to access relevant information quickly, improve collaboration, and make better decisions based on the available knowledge. They also help in preserving institutional knowledge and fostering a culture of continuous learning and innovation.
Databases in IT systems E-mail messages Photographs Web pages Maps
All the technological systems and software across an organization can be compiled into a database.
Knowledge-based refers to systems or processes that rely on specialized knowledge or expertise to function effectively. This can include decision-making, problem-solving, or other activities that require specific information or understanding in order to be successful.
Enterprise-wide knowledge management systems and knowledge work systems
There is a large amount of information on Wikipedia in regards to queue managements systems. There also two videos uploaded to Youtube by Mike Wheble which describe what queue management systems are and detail how they can be used.
Digital document management is a computer based system that is used to store, track and index paper and electronic documents. The two types of digital document managements are vendor-run applications and client-server systems.
Aladdin Knowledge Systems's population is 464.
Aladdin Knowledge Systems was created in 1985.
Douglas B. Lenat has written: 'Building large knowledge-based systems' -- subject(s): Artificial intelligence, Expert systems (Computer science), Knowledge representation (Information theory), System design
Mohammad Nazir Ahmad has written: 'Ontology-based applications for enterprise systems and knowledge management' -- subject(s): Expert systems (Computer science), Business enterprises, Ontology, Knowledge management, Computer networks