The Speed of Knowledge | KnowledgeVision In talking with a business executive the other day, the topic of the best way to communicate with employees came up. This particular business has locations around the US and in Canada, the UK and Australia. One of their real challenges has been communicating their evolving strategy in a consistent way – getting everyone reading from the same playbook. For most large companies, getting an idea out fast often means sacrificing quality of delivery or impact. You can send a PowerPoint deck with a script, but then you hope someone reads it. You can send video files or a link to something streaming, but sent files clog up your email server, and good quality video takes a while to produce – not the timeliest approach. So we spent some time talking with him about trying out the KnowledgeVision platform to create a compelling message to worldwide staff. Voltaire once wrote, “The perfect is the enemy of the good,” reminding us that speed is a powerful market force.
Knowledge Management Definition Based on the discussion in the previous section, my knowledge management definition is as follows: Knowledge management is the systematic management of an organization's knowledge assets for the purpose of creating value and meeting tactical & strategic requirements; it consists of the initiatives, processes, strategies, and systems that sustain and enhance the storage, assessment, sharing, refinement, and creation of knowledge. Knowledge management (KM) therefore implies a strong tie to organizational goals and strategy, and it involves the management of knowledge that is useful for some purpose and which creates value for the organization. Expanding upon the previous knowledge management definition, KM involves the understanding of: From this knowledge management definition we can see that it depends upon the management of the organization's knowledge creation and conversion mechanisms; organizational memory and retrieval facilities; organizational learning; and organizational culture.
EFQM Excellence Model and Knowledge Management Implications KM and your business model. Dilip Bhatt, takes a close look at the model developed by the European Foundation for Quality Management, and using the "hybrid skills" he has honed since serving as a geophysicist in the 70's and 80's, links knowledge management strategies directly to business policies and strategies. Bhatt is currently a Principal Consultant with ICL ltd. located in the U.K. where he provides strategic KM consultancy to banks, government agencies, as well as to other business organizations. He's actively assisting in developing ICL's own KM strategy and capacities associated with their cultural changes. EFQM Excellence Model and Knowledge Management Implications by Dilip Bhatt Introduction In spite of all the discussions and publications about Knowledge Management, many business executives are still asking, “What does it mean?” Management by Processes & Facts People Development & Involvement Continuous Learning, Innovation & Improvement Partnership Development
Knowledge management Processing of knowledge to accomplish organizational goals Knowledge management (KM) is the set of procedures for producing, disseminating, utilizing, and overseeing an organization's knowledge and data. It alludes to a multidisciplinary strategy that maximizes knowledge utilization to accomplish organizational goals. Courses in business administration, information systems, management, libraries, and information science are all part of knowledge management, a discipline that has been around since 1991. In 1999, the term personal knowledge management was introduced; it refers to the management of knowledge at the individual level.[3] The ISO 9001:2015 quality management standard released in September 2015 introduced a specification for 'organizational knowledge' as a complementary aspect of quality management within an organisation.[6] Other knowledge management strategies and instruments for companies include:[41][20][26] Knowledge management (KM) technology can be categorised: [edit]
KL-ONE There is a whole family of KL-ONE-like systems. In KL-ONE descriptions are separated into two basic classes of concepts: primitive and defined. Primitives are domain concepts that are not fully defined. This means that given all the properties of a concept, this is not sufficient to classify it. They may also be viewed as incomplete definitions. The slot-concept is called roles and the values of the roles are role-fillers. See also[edit] Ontology language References[edit] This article is based on material taken from the Free On-line Dictionary of Computing prior to 1 November 2008 and incorporated under the "relicensing" terms of the GFDL, version 1.3 or later. Knowledge Management - Systems and Processes, 2 edition - The Largest Open Book Storage on PDFTorrents.eu Technical Details Vote for Torrent Health Trackers Knowledge Management - Systems and Processes, 2 edition Details: Knowledge Management: Systems and Processes, 2 editionEnglish | 2014 | ISBN: 0765639157 | 382 pages | PDF | 3 MB This text serves as a complete introduction to the subject of knowledge management, incorporating technical, and social aspects of knowledge management, as well as practical examples, traditional approaches, and emerging topics.
Community Knowledge Management I've created a concept map for my latest research topic of; Community Knowledge Management Systems for Development (CKMS4D). ABSTRACT: This article describes the resources and approach required to build a Community Knowledge Management System (CKMS) in rural developing communities. The increased availability of Information and Communication Technology (ICT) through telecentres, cellular telephones, rural wireless networks and community schools have increased the likelihood of partnerships successfully creating community repositories of indigenous knowledge. Through the use of free open source software (FOSS), access to the multimedia of video recorders, audio recorders and digital photography combined with the increasing knowledge of how to use these technologies makes a CKMS within reach for many developing communities.
Limits to Information Transfer: The Boundary Problem | Ariadne Printer-friendly version Send to friend Since the early 1980s the aim of knowledge management researchers and practitioners has been to develop technologies and systems to codify and share explicit knowledge efficiently through electronic means. With the growing appreciation of the importance of tacit knowledge [1], we have a new problem: how to facilitate other forms of systematic organisational learning and knowledge exchange where knowledge cannot be codified. In this article we take a further step by looking at the problem of analysing and managing complex knowledge in organisations that have multiple specialised knowledge communities. Three Approaches to Knowledge Integration across Boundaries There is a trend towards increasing specialisation both in academia and practice. Knowledge-intensive firms consist of multiple communities with specialised technologies and knowledge domains. Carlile [3] [4] developed a useful framework for managing knowledge across boundaries. Summary Jon E.
PKM - Prof. Paul Dorsey What is PKM? Overview of Personal Knowledge Management By Professor Paul A. Dorsey The concept of Personal Knowledge Management, as outlined below, was developed by Professor Paul Dorsey and elaborated and made concrete in a web site called PKMNet by Jonathon Goade, a Millikin University graduate (2000) and Scovill Award winner (1999), who completed PKMNet as part of his James Millikin Scholar project. Jason Frand of the Anderson School of Management at UCLA has used the concept of Personal Knowledge Management to describe a more limited set of information and knowledge management practices that are integrated into the Anderson School MBA Program. Dorsey has had extensive discussions with Frand as part of his work in developing the PKM concept. Personal Knowledge Management should be viewed as a set a problem-solving skills that have both a logical or conceptual as well as physical or hands-on component. (1) Retrieving information. (2) Evaluating information. (3) Organizing information.