Knowledge Management (KM) System
A Knowledge Management (KM) System is an information management system that systematically creates, captures, organizes, and disseminates knowledge assets throughout an organization to support decision-making processes and organizational learning.
- AKA: KM System, Knowledge System, Organizational Knowledge Platform, Enterprise Knowledge System.
- Context:
- It can typically facilitate the sharing of KM explicit knowledge (such as KM documents, KM databases, and KM procedures) and KM tacit knowledge (such as KM expertise, KM experiences, and KM best practices) across an organization.
- It can typically support KM Knowledge Processes including KM knowledge creation, KM knowledge capture, KM knowledge organization, KM knowledge storage, KM knowledge sharing, and KM knowledge application.
- It can typically provide KM Search Functionality using KM search algorithms, KM metadata schemas, and KM taxonomy systems to enable efficient KM information retrieval.
- It can typically include KM Centralized Repository for storing various KM knowledge types in structured KM content formats with appropriate KM metadata tags.
- ...
- It can often implement KM Collaboration Tools that enable KM team members to collectively develop, review, and refine KM content through KM discussion forums, KM shared workspaces, and KM co-creation environments.
- It can often incorporate KM Analytics Capability to track KM usage patterns, measure KM knowledge utilization, and identify KM knowledge gaps through KM data visualization and KM reporting dashboards.
- It can often provide KM Personalization Features that deliver relevant KM content based on KM user profiles, KM user behavior, and KM user preferences.
- It can often support KM Mobile Access allowing KM users to interact with KM content through KM mobile applications and KM responsive interfaces regardless of KM user location.
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- It can range from being a Simple Knowledge Management (KM) System to being a Comprehensive Knowledge Management (KM) System, depending on its KM feature scope.
- It can range from being a Centralized Knowledge Management (KM) System to being a Distributed Knowledge Management (KM) System, depending on its KM architectural approach.
- It can range from being a General-Topic Knowledge Management (KM) System to being a Domain-Specific Knowledge Management (KM) System, depending on its KM subject specialization.
- ...
- It can implement KM Workflow Integration to embed KM processes within everyday KM business operations through KM automated triggers, KM task assignments, and KM approval workflows.
- It can incorporate KM Artificial Intelligence to enhance KM content discovery, KM knowledge extraction, and KM recommendation through KM machine learning algorithms and KM natural language processing.
- It can utilize KM Version Control to track changes in KM content, maintain KM revision history, and compare different KM document versions.
- It can provide KM Access Control through KM permission settings and KM role-based security to protect sensitive KM information while enabling appropriate KM knowledge sharing.
- It can include KM Expertise Locator functionality to identify KM subject matter experts based on their KM knowledge contributions, KM skill profiles, and KM experience records.
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- Examples:
- Knowledge Management (KM) System Deployment Contexts, such as:
- Corporate Knowledge Management (KM) Systems, such as:
- Enterprise-Wide Knowledge Management (KM) System integrating KM departmental knowledge, KM business process documentation, and KM corporate memory across the entire organization.
- Corporate Knowledge Portal centralizing KM company documents, KM training materials, and KM best practices for KM employee access and KM knowledge contribution.
- Innovation Management KM System capturing KM research findings, KM product development insights, and KM market trend analysis to support KM innovation process.
- Academic Knowledge Management (KM) Systems, such as:
- University Knowledge Management (KM) System supporting KM academic research, KM educational content development, and KM administrative processes.
- Academic Research Repository storing KM research papers, KM datasets, and KM publications for KM research collaboration and KM knowledge dissemination.
- Educational Content KM System organizing KM course materials, KM learning resources, and KM assessment tools for KM educational delivery.
- Government Knowledge Management (KM) Systems, such as:
- Corporate Knowledge Management (KM) Systems, such as:
- Knowledge Management (KM) System Functional Types, such as:
- Content-Centric Knowledge Management (KM) Systems, such as:
- Document-Based Knowledge Management (KM) System focusing on KM document organization, KM content categorization, and KM version management.
- Wiki-Based Knowledge Management (KM) System enabling collaborative KM content creation and KM knowledge editing through KM hyperlinked documents.
- Process-Oriented Knowledge Management (KM) Systems, such as:
- People-Focused Knowledge Management (KM) Systems, such as:
- Content-Centric Knowledge Management (KM) Systems, such as:
- Knowledge Management (KM) System Specialized Applications, such as:
- Domain-Specific Knowledge Management (KM) Systems, such as:
- Legal Knowledge Management (KM) System organizing KM case law, KM legal statutes, and KM legal opinions for KM legal research.
- Medical Knowledge Management (KM) System managing KM clinical guidelines, KM patient records, and KM medical research for KM healthcare decision support.
- Engineering Knowledge Management (KM) System storing KM technical specifications, KM design documents, and KM project knowledge for KM engineering practice.
- Domain-Specific Knowledge Management (KM) Systems, such as:
- ...
- Knowledge Management (KM) System Deployment Contexts, such as:
- Counter-Examples:
- Document Management System, which focuses primarily on document storage, document retrieval, and document lifecycle management without the broader KM knowledge sharing, KM knowledge discovery, and KM organizational learning capabilities.
- Content Management System, which manages web content publication, digital asset organization, and website information structure rather than comprehensive KM organizational knowledge and KM tacit knowledge capture.
- Enterprise Resource Planning (ERP) System, which integrates business process management, operational data tracking, and administrative functions without the emphasis on KM knowledge creation, KM knowledge transfer, and KM collaborative learning.
- Customer Relationship Management (CRM) System, which focuses on managing customer interactions, sales processes, and service delivery rather than capturing and leveraging KM organizational knowledge assets across all KM business functions.
- See: Information Management System, Learning Management System, Enterprise Search System, Knowledge Base, Organizational Learning, Digital Transformation, Information Architecture, Knowledge Engineering.
References
2024
- Perplexity
- A Knowledge Management (KM) System is an information management system designed to effectively handle an organization's knowledge assets. These systems play a crucial role in modern organizations by facilitating knowledge collection, organization, knowledge storage, and dissemination.
- Key Components of a KM System
- Knowledge Base: At the core of a KM system is the knowledge base, which serves as a centralized repository for an organization's collective knowledge. This includes:
- Explicit knowledge: Documented information such as reports, manuals, and procedures
- Tacit knowledge: Undocumented expertise and experiences of employees
- Knowledge Processes: KM systems support various knowledge-related processes:
- Knowledge Creation: Facilitating the generation of new knowledge
- Knowledge Capture: Identifying and collecting valuable information
- Knowledge Organization: Structuring and categorizing knowledge for easy retrieval
- Knowledge Storage: Securely maintaining knowledge assets
- Knowledge Sharing: Enabling the distribution of knowledge across the organization
- Knowledge Application: Supporting the use of knowledge in decision-making and problem-solving
- Knowledge Base: At the core of a KM system is the knowledge base, which serves as a centralized repository for an organization's collective knowledge. This includes:
- Benefits of KM Systems: Implementing a KM system can provide numerous advantages to an organization:
- Improved decision-making through access to relevant information
- Enhanced innovation by fostering knowledge sharing and collaboration
- Increased efficiency by reducing duplication of efforts
- Preservation of institutional knowledge, mitigating the impact of employee turnover
- Faster onboarding of new employees
- Technologies in KM Systems
- Modern KM systems leverage various technologies to enhance their functionality:
- Artificial Intelligence: For intelligent search and knowledge discovery
- Machine Learning: To improve knowledge categorization and recommendation
- Natural Language Processing: For better understanding and processing of textual information
- Cloud Computing: Enabling scalable and accessible knowledge storage
- Collaboration Tools: Facilitating knowledge sharing and team communication
- Modern KM systems leverage various technologies to enhance their functionality:
- By effectively managing an organization's knowledge assets, KM systems contribute significantly to organizational learning, innovation, and overall performance.
2024
- (Wikipedia, 2024) ⇒ https://en.wikipedia.org/wiki/Knowledge_management Retrieved:2024-8-27.
- Knowledge management (KM) is the collection of methods relating to creating, sharing, using and managing the knowledge and information of an organization. It refers to a multidisciplinary approach to achieve organizational objectives by making the best use of knowledge.
An established discipline since 1991,[1] KM includes courses taught in the fields of business administration, information systems, management, library, and information science. 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 organisations have resources dedicated to internal KM efforts, often as a part of their business strategy, IT, or human resource management departments. Several consulting companies provide advice regarding KM to these organizations.[2]
Knowledge management efforts typically focus on organisational objectives such as improved performance, competitive advantage, innovation, the sharing of lessons learned, integration, and continuous improvement of the organisation. 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. [3] 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.
- Knowledge management (KM) is the collection of methods relating to creating, sharing, using and managing the knowledge and information of an organization. It refers to a multidisciplinary approach to achieve organizational objectives by making the best use of knowledge.
2014
- (Wikipedia, 2014) ⇒ http://en.wikipedia.org/wiki/Knowledge_management Retrieved:2014-2-18.
- Knowledge management (KM) is the process of capturing, developing, sharing, and effectively using organisational knowledge.[1] It refers to a multi-disciplined approach to achieving organisational objectives by making the best use of knowledge.[2]
An established discipline since 1991 (see Nonaka 1991), KM includes courses taught in the fields of business administration, information systems, management, and library and information sciences .[3] [4] More recently, other fields have started contributing to KM research; these include information and media, computer science, public health, and public policy.[5] Columbia University and Kent State University offer dedicated Master of Science degrees in Knowledge Management.[6] [7]
Many large companies and non-profit organisations have resources dedicated to internal KM efforts, often as a part of their business strategy, information technology, or human resource management departments.[8] Several consulting companies provide strategy and advice regarding KM to these organisations.
Knowledge management efforts typically focus on organisational objectives such as improved performance, competitive advantage, innovation, the sharing of lessons learned, integration and continuous improvement of the organisation.[9] KM efforts overlap with organisational learning and may be distinguished from that by a greater focus on the management of knowledge as a strategic asset and a focus on encouraging the sharing of knowledge. [10] It is seen as an enabler of organisational learning [11] and a more concrete mechanism than the previous abstract research.[12] [13]
- Knowledge management (KM) is the process of capturing, developing, sharing, and effectively using organisational knowledge.[1] It refers to a multi-disciplined approach to achieving organisational objectives by making the best use of knowledge.[2]
- ↑ Davenport, Thomas H. (1994). "Saving IT's Soul: Human Centered Information Management". Harvard Business Review 72 (2): 119–131.
- ↑ "Introduction to Knowledge Management". University of North Carolina at Chapel Hill. http://www.unc.edu/~sunnyliu/inls258/Introduction_to_Knowledge_Management.html. Retrieved 18 April 2013.
- ↑ Nonaka, Ikujiro (1991). "The knowledge creating company". Harvard Business Review 69 (6): 96–104.
- ↑ Nonaka, Ikujiro; von Krogh, Georg (2009). "Tacit Knowledge and Knowledge Conversion: Controversy and Advancement in Organizational Knowledge Creation Theory". Organization Science 20 (3): 635–652. doi:10.1287/orsc.1080.0412.
- ↑ Bellinger, Gene. "Mental Model Musings". Systems Thinking Blog. http://www.systems-thinking.org. Retrieved 18 April 2013.
- ↑ "Columbia University’s M.S. in Information and Knowledge Strategy". http://ce.columbia.edu/information-and-knowledge-strategy. Retrieved 21 November 2013.
- ↑ "Kent’s KM Master of Science". http://iakm.kent.edu/knowledge-management/km-masters-of-science/. Retrieved 21 November 2013.
- ↑ Addicot, Rachael; McGivern, Gerry; Ferlie, Ewan (2006). "Networks, Organizational Learning and Knowledge Management: NHS Cancer Networks". Public Money & Management 26 (2): 87–94. doi:10.1111/j.1467-9302.2006.00506.x.
- ↑ Gupta, Jatinder; Sharma, Sushil (2004). Creating Knowledge Based Organizations. Boston: Idea Group Publishing. ISBN 1-59140-163-1.
- ↑ Maier, R. (2007). Knowledge Management Systems: Information And Communication Technologies for Knowledge Management (3rd edition). Berlin: Springer.
- ↑ Sanchez, R (1996) Strategic Learning and Knowledge Management, Wiley, Chichester
- ↑ Sanchez, R. (1996). Strategic Learning and Knowledge Management. Chichester: Wiley.
- ↑ "Bloomfire". CrunchBase. http://www.crunchbase.com/company/bloomfire. Retrieved 17 April 2013.