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Highlights• A KM background and a discussion of failure factors associated to KM are presented. •A set of requirements that any KM model or initiative should met is defined. •A comprehensive KM model based on the defined requirements is depicted. •An architecture for distributed organizational memory is developed. •Semantic treatment of knowledge sources by information retrieval strategies is proposed. AbstractKnowledge Management (KM) models proposed in the literature do not take into account all necessary aspects for effective knowledge management. First, to address this issue, this paper presents a set of requirements that any KM model or initiative should take into account to cover all aspects implied in knowing processes. These requirements were identified through a critical and evolutionary analysis of KM. Second; the paper presents a new distributed KM Conceptual Model whose building blocks are the knowledge activities involved in knowing processes. These activities are: knowledge creation, knowledge sharing, and knowledge representation and retrieval. This model provides a holistic view of KM whose purpose is helping managers understand the scope of this initiative, and supplying a guide for research and implementation in organizations. In this sense, the model presents KM as a highly social rather than technological process. Third; the paper briefly describes an architecture to provide a technological support for knowledge representation and retrieval activities of the proposed KM Conceptual Model. This architecture allows implementing a distributed organizational memory that helps to represent the knowledge context through an ontological model, providing a local perspective of each knowledge domain within the organization. Strategies for knowledge annotation, knowledge retrieval, and ontology evolution are briefly described and results of preliminary performance analysis are shown. Finally; based on the available literature, a comparative analysis of different KM models shows their adequacy for previously presented requirements. KeywordsKnowledge management Knowledge management model Distributed organizational memory Semantic information retrieval Ontology evolution Cited by (0)Copyright © 2014 Elsevier B.V. All rights reserved. Knowledge management is the process by which an enterprise gathers, organizes, shares and analyzes its knowledge in a way that is easily accessible to employees. This knowledge includes technical resources, frequently asked questions, training documents and people skills. Knowledge management involves data mining and some method of operation to push information to users to make it easily accessible. A knowledge management plan involves a survey of corporate goals and a close examination of the tools -- both traditional and technical -- to address the needs of a company. The challenge of selecting a knowledge management system is to purchase or build software that fits the context of the overall plan and encourages employees to use the system and share information. What is the goal of knowledge management?Improving organizational efficiency and saving knowledge in an easily accessible form are the main goals of knowledge management. Knowledge management aims to put the right information in front of someone at the right time. This is done by:
Knowledge management enables businesses to break down siloes by putting information in a place easily accessible to all employees. It provides a place for people to put knowledge they have acquired over time, preventing a business from losing that information when individuals leave the company. Types of knowledgeKnowledge is an understanding of information that an organization or individual acquires through education and experience. That information comes from data -- raw facts and figures that have been contextualized. This knowledge triangle shows the process by which data becomes knowledge.There are three types of knowledge -- explicit, tacit and embedded. However, the two most important distinctions are explicit and tacit.
Examples of knowledge management systemsA knowledge management system is a type of content management system that houses and retrieves organizational knowledge. It is commonly known as a knowledge base and helps present information to users in various ways, including:
Some knowledge management systems include:
The knowledge management processThere are four key knowledge management processes. These include:
Benefits and challenges of knowledge managementKnowledge management can reduce business operation costs and increase employee productivity. It does this in the following ways:
There are, however, also some challenges to knowledge management. Challenges include:
Knowledge management best practicesBusinesses may approach knowledge management in different ways, but implementing these best practices can put organizations on the road to success:
Creating and implementing a knowledge management frameworkIt's necessary to have a plan before implementing a knowledge management framework. Businesses can take these steps to ensure a smooth business rollout:
This was last updated in January 2021 Continue Reading About knowledge management (KM)
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What are the 4 types of knowledge management?The best four components of knowledge management are people, process, content/IT, and strategy.
What are the 4 key processes of knowledge management?The Knowledge Management Process. Step 1: Collecting. This is the most important step of the knowledge management process. ... . Step 2: Organizing. The data collected need to be organized. ... . Step 3: Summarizing. ... . Step 4: Analyzing. ... . Step 5: Synthesizing. ... . Step 6: Decision Making.. What are the 5 components of knowledge management?The assessment should cover the five core knowledge management components: people, processes, technology, structure and culture.
What are the 4 spheres of knowledge management?There are four stages of knowledge management.. Data. Raw data consists of the facts that are available in databases that you and your IT team use on a daily basis. ... . Information. ... . Knowledge. ... . Wisdom. ... . Knowledge Management Strategy. ... . Knowledge Transfer. ... . Information Management. ... . |