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Knowledge-based decision making model [1] Knowledge-Based Decision-Making (KBDM) in management is a decision-making process [2] that uses predetermined criteria to measure and ensure the optimal outcome for a specific topic. KBDM is used to make decisions by establishing a thought process and reasoning behind a decision. [3]
Knowledge retention is part of knowledge management. It helps convert tacit form of knowledge into an explicit form. It is a complex process which aims to reduce the knowledge loss in the organization. [67] Knowledge retention is needed when expert knowledge workers leave the organization after a long career. [68]
2.0 import and export, support for DMN 1.3, collaborative BPMN & DMN editing, REST & Java APIs, OpenAPI documentation, orchestration of RPA bots, reporting on processes executed by Camunda or by an external tool Camunda Platform BPMN model snippet: 2013-08-31 2024-11-01 [10] Apache License 2.0: Enterprise Architect: Sparx Systems: 2000 2024-09 ...
SCAMPER ("substitute, combine, adjust, modify, put to other uses, eliminate, reverse") is an acronym that provides a structured way of assisting students to think out of the box and enhance their knowledge. [1] It is thought to protect students' creativity as they mature. [2]
S.M.A.R.T. (or SMART) is an acronym used as a mnemonic device to establish criteria for effective goal-setting and objective development. This framework is commonly applied in various fields, including project management, employee performance management, and personal development.
Critical thinking is primarily concerned with judging the true value of statements and seeking errors whereas lateral thinking focuses more on the "movement value" of statements and ideas. A person uses lateral thinking to move from one known idea to new ideas. Edward de Bono defines four types of thinking tools:
Knowledge-Centered Service (KCS; previously known as Knowledge-Centered Support) is a service delivery method that focuses on knowledge as a key asset of the organization implementing it. Development began in 1992 by the Consortium for Service Innovation , [ 1 ] a non-profit alliance of service organizations.
The classifier can also provide consistency checking on a knowledge base (which in the case of KL-ONE languages is also referred to as an Ontology). [11] Another area of knowledge representation research was the problem of common-sense reasoning. One of the first realizations learned from trying to make software that can function with human ...