This document discusses several theories of knowledge management. It introduces the multi-perspective theory, which views knowledge management from technical, organizational, and personal perspectives. It also describes the triology model, which includes the OODA loop model, SECI model, and Oinas-Kakkonen model for understanding knowledge management processes. Finally, it discusses the KISARD model and knowledge management hypercube strategy.
The document provides an introduction to the topic of knowledge management (KM) through several presentations. It discusses the history and definitions of KM, elements of a KM initiative including people, processes and technology, and the importance of KM for competitive advantage. It also covers the evolution of KM, the differences between information management and KM, and addresses explicit and tacit knowledge as well as ethics in KM.
The document discusses several major knowledge management models:
- The Nonaka and Takeuchi Knowledge Spiral Model describes how tacit and explicit knowledge can be transformed within an organization through four modes of knowledge conversion.
- The von Krogh and Roos Model distinguishes between individual and social knowledge and analyzes how knowledge is acquired and shared in organizations.
- The Choo Sense-Making KM Model focuses on sense making, knowledge creation, and decision making to help organizations adapt strategically.
- The Wiig Model emphasizes organizing knowledge for usefulness and outlines types and degrees of internalization of knowledge.
- The Boisot KM model conceptualizes knowledge as an "information good" that spreads differently depending on its
This document defines knowledge management and discusses its benefits. Knowledge management involves capturing, sharing, and leveraging an organization's knowledge resources. It benefits organizations by leveraging competencies, accelerating innovation, empowering employees, improving decision-making and competitiveness. The document also discusses knowledge management systems which utilize various mechanisms and technologies to support knowledge management processes like application, capture, sharing and discovery of knowledge. Some key issues with knowledge management initiatives are also highlighted.
The document discusses the role of human resources and training teams in institutionalizing knowledge management in organizations. It defines knowledge management as capturing, distributing, and using knowledge effectively. The central theme is leveraging existing knowledge resources so people reuse best practices rather than reinventing processes. HR can help by focusing on collaborative teams, corporate education, developing a knowledge sharing culture, and making knowledge management part of training programs.
Knowledge Management System & TechnologyElijah Ezendu
Knowledge management systems (KMS) aim to support knowledge generation, codification, and transfer in organizations. Various technologies can provide value-adding capabilities to boost and entrench knowledge management, including information technology, communication technology, and media technology. While information technology alone is not knowledge management, different technologies can fulfill deliverables that support knowledge management processes within an organization. Properly identifying an organization's required and applicable knowledge management activities facilitates effective mapping of knowledge management processes, which then determines a fitting knowledge management system.
The document provides an introduction to the topic of knowledge management (KM) through several presentations. It discusses the history and definitions of KM, elements of a KM initiative including people, processes and technology, and the importance of KM for competitive advantage. It also covers the evolution of KM, the differences between information management and KM, and addresses explicit and tacit knowledge as well as ethics in KM.
The document discusses several major knowledge management models:
- The Nonaka and Takeuchi Knowledge Spiral Model describes how tacit and explicit knowledge can be transformed within an organization through four modes of knowledge conversion.
- The von Krogh and Roos Model distinguishes between individual and social knowledge and analyzes how knowledge is acquired and shared in organizations.
- The Choo Sense-Making KM Model focuses on sense making, knowledge creation, and decision making to help organizations adapt strategically.
- The Wiig Model emphasizes organizing knowledge for usefulness and outlines types and degrees of internalization of knowledge.
- The Boisot KM model conceptualizes knowledge as an "information good" that spreads differently depending on its
This document defines knowledge management and discusses its benefits. Knowledge management involves capturing, sharing, and leveraging an organization's knowledge resources. It benefits organizations by leveraging competencies, accelerating innovation, empowering employees, improving decision-making and competitiveness. The document also discusses knowledge management systems which utilize various mechanisms and technologies to support knowledge management processes like application, capture, sharing and discovery of knowledge. Some key issues with knowledge management initiatives are also highlighted.
The document discusses the role of human resources and training teams in institutionalizing knowledge management in organizations. It defines knowledge management as capturing, distributing, and using knowledge effectively. The central theme is leveraging existing knowledge resources so people reuse best practices rather than reinventing processes. HR can help by focusing on collaborative teams, corporate education, developing a knowledge sharing culture, and making knowledge management part of training programs.
Knowledge Management System & TechnologyElijah Ezendu
Knowledge management systems (KMS) aim to support knowledge generation, codification, and transfer in organizations. Various technologies can provide value-adding capabilities to boost and entrench knowledge management, including information technology, communication technology, and media technology. While information technology alone is not knowledge management, different technologies can fulfill deliverables that support knowledge management processes within an organization. Properly identifying an organization's required and applicable knowledge management activities facilitates effective mapping of knowledge management processes, which then determines a fitting knowledge management system.
This document provides an overview of knowledge management. It defines key terms like data, information, and knowledge. It also describes different types of explicit and tacit knowledge. Several knowledge management models are introduced, including the Nonaka/Takeuchi knowledge spiral model and the Choo sense-making KM model. The document also discusses why organizations invest in knowledge management, such as enabling better decision making and avoiding duplicating mistakes.
Knowledge Management Lecture 1: definition, history and presenceStefan Urbanek
1. Knowledge management aims to leverage collective wisdom to increase organizational responsiveness and innovation through the continuous flow of knowledge to the right people at the right time.
2. It involves strategies, tools, and techniques for managing both explicit knowledge that is recorded as well as tacit knowledge that resides within people.
3. Knowledge management has its roots in the recognition that much of an organization's valuable knowledge walks out the door, and emerged as a field in the 1980s with the proliferation of information technology.
1st know the features & functions of information systemsBronte666
This document discusses the key features and functions of information systems. It describes the components of an information system including data, people, hardware, software, and telecommunications. It then explains the functions of input, storage, processing, and output. Information systems can be either closed systems with predefined outputs or open systems that provide more flexibility in output formats.
The document describes the Bukowitz & Williams knowledge management model, which consists of eight stages: Get, Use, Learn, Contribute, Assess, Build, Divest, and Knowledge. It is a cyclical process that helps organizations strategically manage knowledge by seeking, applying, learning from, sharing, evaluating, growing, releasing if needed, and building their knowledge base. The model emphasizes both tacit and explicit knowledge and stresses the importance of learning from experiences, contributing to communal knowledge, and assessing intellectual capital needs over time.
Knowledge management is important for organizations today for three main reasons: globalization, leaner organizations with increased workloads, and corporate amnesia due to increased workforce mobility. Effective knowledge management involves capturing knowledge (tacit and explicit), sharing knowledge through communities of practice, and embedding knowledge management systems into organizational processes. Key technologies that support knowledge management include intranets, groupware, document management systems, and knowledge bases. Case studies of knowledge management in Indian companies like NTPC, PowerGrid, and IT industries demonstrate how capturing tacit knowledge, collaborating, disseminating best practices, and driving innovation can provide benefits at the individual, community, and organizational levels.
Data is raw facts and events that are recorded, information is processed data that is meaningful and relevant, and intelligence emerges from information that has been analyzed and from which conclusions have been drawn. Management information systems process data into useful information reports and dashboards to help managers make effective decisions. There are three main categories of information technology - functional IT that supports tasks, network IT that enables collaboration, and enterprise IT that structures interactions across the organization.
1) The document discusses knowledge management systems and knowledge-based expert systems. It describes key capabilities like leveraging existing knowledge and creating new knowledge to position companies favorably in markets.
2) Important reasons for actively managing knowledge are to facilitate decision-making, build learning organizations, and stimulate cultural change and innovation.
3) Expert systems provide high quality performance solving difficult problems like human experts through vast domain knowledge and explanation capabilities.
This document discusses strategic knowledge management. It explains that strategic knowledge management involves developing, implementing, and maintaining an effective organizational knowledge management system. It requires attention to five areas: planning, people, processes, products, and performance. The document also outlines phases of knowledge development including sourcing, abstraction, conversion, diffusion, and refinement. It describes how knowledge management infrastructure, knowledge workers, knowledge objects, and intellectual property play roles in strategic knowledge management.
Knowledge management in theory and practicethewi025
The document provides an overview and summary of the key concepts from the book "Knowledge Management in Theory and Practice" by Kimiz Dalkir. It discusses several knowledge management cycles and models. It also examines topics like knowledge capture and codification, knowledge sharing through communities of practice, knowledge application at individual and group levels, the role of organizational culture, and tools and strategies for knowledge management. The future challenges of knowledge management are also addressed.
The document provides an introduction to management information systems (MIS). It defines MIS as a computer-based system that presents both internal and external information to support the decision-making process. MIS utilizes hardware, software, and manual procedures to analyze, plan, control, and make decisions. While MIS does not make decisions itself, it assists managers by providing consistent, accurate, timely, and relevant information as an input to the decision-making process. The document also discusses the components, functions, uses, and types of information systems.
1) The document discusses definitions of data, information, knowledge, and knowledge management. It defines knowledge management as capturing a company's expertise and distributing it to maximize value.
2) It describes two approaches to knowledge management systems - codification and personalization. Codification identifies and stores knowledge while personalization focuses on connecting experts.
3) The document outlines challenges to implementing knowledge management initiatives, including behavioral resistance to sharing and lack of management support. It provides some strategies to address these challenges.
This document discusses how information systems can provide strategic advantages for businesses. It outlines different competitive strategies like cost leadership, differentiation, innovation, and growth. It also explains the strategic role of information systems in developing products and services that give competitive advantages. Finally, it describes how information systems can be used in business to improve operations, promote innovation, lock in customers and suppliers, create switching costs, and raise barriers to entry.
Management is what managers do. The document discusses the importance of knowledge management in modern organizations. It defines knowledge management as processes to generate, capture, codify and transfer knowledge across an organization to achieve competitive advantage. Key benefits include facilitating decision-making, building learning organizations, and stimulating cultural change and innovation. Successful knowledge management requires participation from employees, appropriate technology solutions, and standardized processes for knowledge contribution and retrieval. It also outlines six key knowledge assets in an organization.
The document discusses Knowledge Management (KM) and Wipro's KM framework and initiatives.
[1] KM involves managing an organization's intellectual capital through processes that capture, maintain, and reuse key information and expertise to improve business performance.
[2] Wipro's KM framework aims to connect people to content and people through various applications and communities, foster a collaborative culture through rewards and guidelines, and leverage tools, technology and business processes to enable knowledge sharing.
[3] Key KM applications at Wipro include document repositories, reusable component databases, discussion groups and expertise directories that help employees and customers access the knowledge needed.
This document discusses knowledge conversion through social practices. It begins by introducing organizational knowledge creation theory and defining tacit and explicit knowledge. It then explains how tacit knowledge forms the foundation of social practices and can be acquired through participation, observation, and intuition. Knowledge conversion involves transforming knowledge between tacit and explicit forms through four models: socialization, externalization, combination, and internalization. Converting knowledge is important for organizations to innovate, tap into practices, acquire tacit knowledge, and represent practical circumstances. Knowledge management systems and expert judgement can also facilitate knowledge conversion.
The document discusses various methods for measuring knowledge management (KM), including benchmarking, the balanced scorecard, and the house of quality. It describes benchmarking as comparing an organization's KM processes to those of industry leaders to identify best practices. The balanced scorecard is presented as a framework that translates an organization's strategy into performance indicators across four dimensions: financial, customer, internal processes, and learning and growth. The house of quality is described as a tool to show connections between customer requirements, product/service quality characteristics, and internal business processes.
This document provides an overview of knowledge management. It defines key terms like data, information, and knowledge. It also describes different types of explicit and tacit knowledge. Several knowledge management models are introduced, including the Nonaka/Takeuchi knowledge spiral model and the Choo sense-making KM model. The document also discusses why organizations invest in knowledge management, such as enabling better decision making and avoiding duplicating mistakes.
Knowledge Management Lecture 1: definition, history and presenceStefan Urbanek
1. Knowledge management aims to leverage collective wisdom to increase organizational responsiveness and innovation through the continuous flow of knowledge to the right people at the right time.
2. It involves strategies, tools, and techniques for managing both explicit knowledge that is recorded as well as tacit knowledge that resides within people.
3. Knowledge management has its roots in the recognition that much of an organization's valuable knowledge walks out the door, and emerged as a field in the 1980s with the proliferation of information technology.
1st know the features & functions of information systemsBronte666
This document discusses the key features and functions of information systems. It describes the components of an information system including data, people, hardware, software, and telecommunications. It then explains the functions of input, storage, processing, and output. Information systems can be either closed systems with predefined outputs or open systems that provide more flexibility in output formats.
The document describes the Bukowitz & Williams knowledge management model, which consists of eight stages: Get, Use, Learn, Contribute, Assess, Build, Divest, and Knowledge. It is a cyclical process that helps organizations strategically manage knowledge by seeking, applying, learning from, sharing, evaluating, growing, releasing if needed, and building their knowledge base. The model emphasizes both tacit and explicit knowledge and stresses the importance of learning from experiences, contributing to communal knowledge, and assessing intellectual capital needs over time.
Knowledge management is important for organizations today for three main reasons: globalization, leaner organizations with increased workloads, and corporate amnesia due to increased workforce mobility. Effective knowledge management involves capturing knowledge (tacit and explicit), sharing knowledge through communities of practice, and embedding knowledge management systems into organizational processes. Key technologies that support knowledge management include intranets, groupware, document management systems, and knowledge bases. Case studies of knowledge management in Indian companies like NTPC, PowerGrid, and IT industries demonstrate how capturing tacit knowledge, collaborating, disseminating best practices, and driving innovation can provide benefits at the individual, community, and organizational levels.
Data is raw facts and events that are recorded, information is processed data that is meaningful and relevant, and intelligence emerges from information that has been analyzed and from which conclusions have been drawn. Management information systems process data into useful information reports and dashboards to help managers make effective decisions. There are three main categories of information technology - functional IT that supports tasks, network IT that enables collaboration, and enterprise IT that structures interactions across the organization.
1) The document discusses knowledge management systems and knowledge-based expert systems. It describes key capabilities like leveraging existing knowledge and creating new knowledge to position companies favorably in markets.
2) Important reasons for actively managing knowledge are to facilitate decision-making, build learning organizations, and stimulate cultural change and innovation.
3) Expert systems provide high quality performance solving difficult problems like human experts through vast domain knowledge and explanation capabilities.
This document discusses strategic knowledge management. It explains that strategic knowledge management involves developing, implementing, and maintaining an effective organizational knowledge management system. It requires attention to five areas: planning, people, processes, products, and performance. The document also outlines phases of knowledge development including sourcing, abstraction, conversion, diffusion, and refinement. It describes how knowledge management infrastructure, knowledge workers, knowledge objects, and intellectual property play roles in strategic knowledge management.
Knowledge management in theory and practicethewi025
The document provides an overview and summary of the key concepts from the book "Knowledge Management in Theory and Practice" by Kimiz Dalkir. It discusses several knowledge management cycles and models. It also examines topics like knowledge capture and codification, knowledge sharing through communities of practice, knowledge application at individual and group levels, the role of organizational culture, and tools and strategies for knowledge management. The future challenges of knowledge management are also addressed.
The document provides an introduction to management information systems (MIS). It defines MIS as a computer-based system that presents both internal and external information to support the decision-making process. MIS utilizes hardware, software, and manual procedures to analyze, plan, control, and make decisions. While MIS does not make decisions itself, it assists managers by providing consistent, accurate, timely, and relevant information as an input to the decision-making process. The document also discusses the components, functions, uses, and types of information systems.
1) The document discusses definitions of data, information, knowledge, and knowledge management. It defines knowledge management as capturing a company's expertise and distributing it to maximize value.
2) It describes two approaches to knowledge management systems - codification and personalization. Codification identifies and stores knowledge while personalization focuses on connecting experts.
3) The document outlines challenges to implementing knowledge management initiatives, including behavioral resistance to sharing and lack of management support. It provides some strategies to address these challenges.
This document discusses how information systems can provide strategic advantages for businesses. It outlines different competitive strategies like cost leadership, differentiation, innovation, and growth. It also explains the strategic role of information systems in developing products and services that give competitive advantages. Finally, it describes how information systems can be used in business to improve operations, promote innovation, lock in customers and suppliers, create switching costs, and raise barriers to entry.
Management is what managers do. The document discusses the importance of knowledge management in modern organizations. It defines knowledge management as processes to generate, capture, codify and transfer knowledge across an organization to achieve competitive advantage. Key benefits include facilitating decision-making, building learning organizations, and stimulating cultural change and innovation. Successful knowledge management requires participation from employees, appropriate technology solutions, and standardized processes for knowledge contribution and retrieval. It also outlines six key knowledge assets in an organization.
The document discusses Knowledge Management (KM) and Wipro's KM framework and initiatives.
[1] KM involves managing an organization's intellectual capital through processes that capture, maintain, and reuse key information and expertise to improve business performance.
[2] Wipro's KM framework aims to connect people to content and people through various applications and communities, foster a collaborative culture through rewards and guidelines, and leverage tools, technology and business processes to enable knowledge sharing.
[3] Key KM applications at Wipro include document repositories, reusable component databases, discussion groups and expertise directories that help employees and customers access the knowledge needed.
This document discusses knowledge conversion through social practices. It begins by introducing organizational knowledge creation theory and defining tacit and explicit knowledge. It then explains how tacit knowledge forms the foundation of social practices and can be acquired through participation, observation, and intuition. Knowledge conversion involves transforming knowledge between tacit and explicit forms through four models: socialization, externalization, combination, and internalization. Converting knowledge is important for organizations to innovate, tap into practices, acquire tacit knowledge, and represent practical circumstances. Knowledge management systems and expert judgement can also facilitate knowledge conversion.
The document discusses various methods for measuring knowledge management (KM), including benchmarking, the balanced scorecard, and the house of quality. It describes benchmarking as comparing an organization's KM processes to those of industry leaders to identify best practices. The balanced scorecard is presented as a framework that translates an organization's strategy into performance indicators across four dimensions: financial, customer, internal processes, and learning and growth. The house of quality is described as a tool to show connections between customer requirements, product/service quality characteristics, and internal business processes.
Knowledge Management And The Technical Writermdanda
The document discusses knowledge management (KM) and the role technical writers can play in KM initiatives. It provides definitions of KM, outlines its history and challenges. It describes how technical writers are well-suited to focus on content, organization and workflows when capturing institutional knowledge. The document advocates that technical writers can facilitate knowledge sharing and help tailor knowledge assets to end users.
Knowledge is created through teamwork as teams compare experiences to outcomes, translating experiences into knowledge. Knowledge is then transferred to other teams via codification and reuse.
Nonaka's model of knowledge conversion includes tacit to tacit knowledge through socialization like team meetings, tacit to explicit through externalization via team dialogs, explicit to tacit through internalization by learning from reports, and explicit to explicit through combination like emailing reports.
A knowledge architecture includes people as the core, a technical core layer with user interfaces, applications, transport and physical repositories, and a content layer identifying knowledge centers in areas like marketing, HR, R&D and more.
Lecture 3 - KNOWLEDGE CREATION AND KNOWLEDGE MANAGEMENT ARCHITECTUREMobi Marketing
The document discusses knowledge creation and knowledge architecture. It covers challenges in building knowledge management systems, compares knowledge management system life cycles, and outlines an 8 stage knowledge management system life cycle. It also discusses knowledge creation, infrastructure, architecture, and whether to build or buy a knowledge management system. Finally, it presents models for knowledge conversion and a 7 layer knowledge management system architecture.
The document discusses knowledge management architecture, which consists of four main elements: knowledge components, knowledge management processes, information technology, and organizational aspects. It defines each of these elements and provides examples. For knowledge components, it includes knowledge definition and categories. For processes, it lists the typical steps like knowledge discovery, organization, sharing, reuse, creation and acquisition. It also outlines characteristics of a successful KM architecture like availability, accuracy, effectiveness and accessibility of knowledge.
This document provides an overview of knowledge management. It defines data, information, and knowledge and describes explicit and tacit knowledge. It discusses the history of knowledge management from the 1970s to present. It also outlines several common knowledge management models and describes the typical stages in the knowledge management life cycle including information mapping, storage, retrieval, use, and auditing. Finally, it discusses some key terms used in knowledge management.
This document provides an introduction to knowledge management (KM) and discusses its key concepts and evolution. It addresses:
1) KM gaining attention across disciplines as the economy shifts to knowledge-based. Effective KM drives innovation.
2) Knowledge is intangible and difficult to measure but critical to organizational survival. KM aims to increase useful knowledge through communication, learning opportunities, and knowledge sharing.
3) A KM initiative requires a focus on people, processes, and technology to create, share, and apply both explicit and tacit knowledge across the organization.
The document provides an overview of knowledge management concepts including definitions of data, information and knowledge. It discusses why knowledge management is important for organizations in today's economy. Some key approaches and concepts in knowledge management are explained such as tacit vs explicit knowledge and the knowledge management life cycle. The role of information technology in knowledge management systems is also summarized.
The document discusses key topics related to knowledge management (KM) including:
1. The history, definitions, and antecedents of KM.
2. An overview of the current state of KM and its evolution from information management.
3. The important elements of a KM initiative including people, processes, and technology.
4. The importance of KM for gaining a competitive edge in the knowledge economy.
5. The differences between explicit and tacit knowledge as well as the knowledge infrastructure.
6. The relationship between KM and ethics.
This document discusses key aspects of knowledge management. It defines knowledge management as leveraging existing organizational knowledge to avoid reinventing solutions. Knowledge management systematically transfers knowledge from individuals to benefit the entire organization. It also maximizes the returns from an organization's knowledge assets. The document outlines different types of knowledge, knowledge management systems, techniques for capturing and codifying knowledge, and provides an example of a knowledge management initiative at Tata Steel.
This document discusses key aspects of knowledge management. It defines knowledge management as leveraging existing organizational knowledge to avoid reinventing solutions. Knowledge management systematically transfers knowledge from individuals to benefit the entire organization. It also maximizes the returns from an organization's knowledge assets. The document then covers types of knowledge, knowledge management systems, techniques for capturing and codifying knowledge, and provides an example of a knowledge management initiative at Tata Steel.
This document provides an introduction to knowledge management, including definitions of key concepts like tacit vs explicit knowledge, the history of KM, and why KM is important for individuals, communities, and organizations. It outlines the learning objectives, subtopics, and concepts that will be covered in sessions about KM. The document defines KM, explores its multidisciplinary nature, and discusses how knowledge assets have become more valuable than physical assets for organizations.
Introduction
Why knowledge and knowledge management
What is KM
Knowledge Evolution Process
Types of Knowledge
KM Approaches – Overview
Knowledge Creation Model
The document discusses strategies for effective knowledge management. It outlines timeless business principles like increasing productivity and reducing costs. It also discusses identifying, creating, storing, sharing and using knowledge. Modern tools like web portals and semantic technologies can help manage knowledge better and increase productivity of knowledge workers substantially. The key challenges are to share knowledge globally and continuously create and innovate using the best strategies and technologies.
Gives an overview on knowledge and knowledge management. Discusses the various knowledge management processes and systems necessary for effective knowledge management practice.
This document provides an agenda and details for the Knowledge Management Australia 2016 conference to be held August 2-4, 2016 in Melbourne. The conference will feature keynote speakers from NASA, the Irish Defence Forces, and other organizations, as well as case studies, workshops, and discussions on various topics related to knowledge management. Over 2000 people have attended the annual conference over the last four years.
The document discusses the origins and importance of knowledge management, explaining that knowledge has become the primary factor of production and driver of value creation and competitive advantage. It outlines different approaches to knowledge management, including focusing on explicit versus tacit knowledge, and discusses how leading companies like Hewlett-Packard, Unilever, and Microsoft effectively manage knowledge. The document also examines strategic options for knowledge-based organizations in either focusing on professional values or organizational growth.
1) The document discusses the four dimensions of knowledge management: communication, collaboration, knowledge management processes, and creating and innovating.
2) It provides an overview of different frameworks for knowledge management from organizations like the APO, British Standards Institute, NASA, and others.
3) The document advocates that knowledge management principles should be integrated into organizational culture and everyday work practices to better share knowledge.
This document provides an introduction to knowledge management (KM) in theory and practice. It discusses KM from multiple perspectives, including:
1. As a business activity that treats knowledge as an explicit concern, reflected in strategy and practice.
2. As a collaborative approach to creating, capturing, organizing, accessing, and using an enterprise's intellectual assets.
3. As drawing upon diverse fields like organizational science, cognitive science, and information technologies to manage both explicit and tacit knowledge.
The document outlines the multidisciplinary nature of KM and identifies key attributes like generating, accessing, using, and measuring knowledge. It also discusses drivers of KM, intellectual capital, and challenges in content management,
This document provides an introduction to knowledge management (KM) in theory and practice. It discusses KM from multiple perspectives, including:
1. As a business activity that treats knowledge as an explicit concern, reflected in strategy and practice.
2. As a collaborative approach to creating, capturing, organizing, accessing, and using an enterprise's intellectual assets.
3. As drawing upon diverse fields like organizational science, cognitive science, and information technologies to manage both explicit and tacit knowledge.
The document outlines the multidisciplinary nature of KM and identifies key attributes like generating, accessing, using, and measuring knowledge. It also discusses drivers of KM, intellectual capital, and challenges in content management,
The concept of managing knowledge or knowledge management has attracted much attention in recent years. Knowledge is not new, but over the last decade or so the concept has grown from a convergence of ideas and existing practice.
This document provides an overview of knowledge management (KM) principles and practices. It discusses the history and evolution of KM, from early informal knowledge sharing between individuals to modern formalized approaches. Key aspects of KM covered include the distinction between explicit and tacit knowledge, protecting knowledge assets, dimensions of knowledge, and the KM cycle of vision, generation, acquisition, capture, transformation, transfer and application of knowledge. The goal of KM is to harness expertise and continuously develop individual and organizational learning to achieve business objectives.
This document provides an overview of knowledge management (KM) principles and practices. It discusses the history and evolution of KM, from early informal knowledge sharing between individuals to modern formalized approaches. Key aspects of KM covered include the distinction between explicit and tacit knowledge, protecting knowledge assets, dimensions of knowledge, and the KM cycle of vision, generation, acquisition, capture, transformation, transfer and application of knowledge. The goal of KM is to harness expertise and continuously develop individual and organizational learning to achieve business objectives.
The document discusses barriers to organizational improvement in the public sector, including knowledge management (KM). It provides definitions of explicit and tacit knowledge. It then discusses how KM has been applied across the Canadian public sector, with many departments and agencies trying KM but with limited long-term success due to factors like political drivers, mobility of managers, myths, costs, and lack of focus. Lessons learned from applying KM are also discussed.
2. KNOWLEDGE MANAGEMENT THEORIES
Knowledge is becoming as intellectual asset, valuable commodity,
product and key to control the many emerging problems.
Knowledge Characteristics
Knowledge is tacit.
Knowledge is action-oriented.
Knowledge is supported by rules.
Knowledge is constantly changing.
Use of Knowledge doesn’t consume it.
Transferal of Knowledge doesn’t result in losing it.
Knowledge is abundant, but the ability to use is scarce.
Much of the Organization’s valuable knowledge walks out the
door at the end of the day.
3. KNOWLEDGE DIVIDE LINKAGES
1. Lab-to-Lab
This will involve organizing a consortium of scientific
institutions and data providers.
2. Lab to Land
This will involve symbolic linkages between the providers
of information and the users
3. Land to Lab
Traditional Knowledge and wisdom among rural and tribal
families concerning sustainable management of natural
resources, land, water.
4. Land to Land
Lateral learning among rural families; such learning has
high credibility because the knowledge coming from a
fellow farm woman or man.
4. INTELLECTURAL CAPITAL MANAGEMENT
Internet and the World Wide Web have made unlimited
sources of knowledge.
ICM are of business value to the Organization.
Intellectual Capital Assets viz., Patents, Intellectual
Property
Know-how, Know-why, experience and expertise (Klenin,
1998; Stewart, 1997)
Representative of a person’s real thinking – contextual
information, opinions, stories…
KM both the capturing and storing the K Perspectives
KM is the deliberate and systematic technology, people,
processes and structure of innovation.
Creating, sharing, applying knowledge and feeding
lessons.
5. INTELLECTUAL CAPITAL GROWS WITH USE
Today’s Intellectual Capital Future Intellectual Capital
Knowledge Management Knowledge Management
Social
Capital
Human
Capital
Structural
Capital
Social
Capital Human
Capital
Structural
Capital
ORGANIZATIONAL
LEARNING
6. INTER DISCIPLINARHY NATURE OF KM
1. Organizational Science
2. Cognitive Science
3. Linguistics and Computational linguistics
4. Information Technologies – Knowledge based Systems,
Document & Information Management, Electronic
performance Support Systems, Date base
Technologies.
5. Information and Library Science
6. Technical Writing and Journalism
7. Anthropology and Sociology
8. Education and Training
9. Storytelling and Communication Studies
10. Collaborative Technologies – Computer Supported
Collaborative work, Groupware, Intranets, Extranets,
Portals and other web technologies
7. ADVANTAGE OF KNOWLEDGE MANAGEMENT
Multidisciplinary nature of KM represents a double-edged
sword.
Journalist can quickly adapt his skill set to the capture of
knowledge from experts.
KM cannot said to be a separate discipline with a unique
body of knowledge.
Knowledge is more subjective based on the individual
values, perceptions and experiences.
Data: Content that is directly observable or verifiable
Information: Content that represents analyzed data
Knowledge: Information Management is the ability of KM to
address knowledge in all forms, notably tacit knowledge
and explicit knowledge.
8.
9. IDENTIFICATION OF KEY ATTRIBUTIES OF KM
Generating New Knowledge
Accessing valuable knowledge from outside sources
Using accessible knowledge in decision making
Embedding knowledge in processes, products and/or
services
Representing knowledge in documents, databases
and software
Facilitating knowledge growth through culture and
incentives
Transferring existing knowledge into other parts of the
organization
Measuring the value of knowledge assets and/or
Impact of knowledge management
Tacit Knowledge resides within individuals & difficult
to articulate
Notion of added value that can be codified and
disseminated ( Polanyi, 1966)
10. DEVELOPMENT PHASES IN KM HISTORY
• 1800 – Industrialization
• 1850 – Transportation
• 1900 – Communication
• 1950 – Computerization
• 1980 – Virtualization
• 2000 + + Personalization
• Birth of the Internet 1969
• Launch of ARPANET allowed Scientist and Researcher to
communicate large data sets.
• Internet and World Wide Web
11.
12. KNOWLEDGE MANAGEMENT MILESTONES
YEAR ENTITY EVENT
1980 – DEC,CMU XCON Expert System
1986 – Dr.K.Wiig Coined KM concept at UN
1989 – Consulting firms start Internal KMProjects
1991 – HBR article Nonaka & Takeuchi
1993 – Dr.K.Wiig First KM Book Published
1994 – KM Network First KM Conference
Mid- 1990s – Consulting firms start offering KM
Services
Late 1990s – Key vertical Industries Implement KM
start seeing benefits
2000 – 2003 Academia KM Courses/Programs in
Universities with KM texts
13. FROM PHYSICAL ASSETS TO KNOWLEDGE ASSETS
Traditionally Airline Organization’s asset included
in the Physical Inventory.
Software enables seat reservation system not
only logistics but “yield management system”
Non-Physical Assets such as Just-in-time (JIT)
inventory systems are more value.
Intellectual Capital
1.Competence-Skills to achieve high performance
2. Capability-Strategic Skills to integrate
competencies
3. Technologies-Tools & Methods to produce
physical results
14. ORGANIZATION PERSPECTIVES ON KM
1.Business Perspective – Why, Where and to what
extent the organization exploit knowledge in order
to consider the strategies, products, services,
alliances, acquisition etc.
2.Management Perspective – determining,
organizing, directing, facilitating and monitoring
knowledge-related practices to fulfill the
objectives.
3.Hand-on Perspective – applying the expertise to
conduct explicit knowledge related work or tasks.
15. WHY IS KM IMPORTANT TODAY?
1.Globalization of Business- Organization are more global-
multisite, multilingual & multicultural in nature.
2.Leaner Organization – Faster performance due to smarter
Knowledge workers increased workload
3. Corporate Amnesia – Problems of Knowledge places
continuous learning demands of the knowledge worker do
not spend his time in the same organization.
4.Technological Advances – IT measured in minutes, not
weeks. Filtering over 200 emails, faxes, voicemail daily
.“Pavlovian Reflex” – exhibit new mail or ringing of the
phone demands immediate attention.
Knowledge workers are increasingly being asked to “to
think on their feet”
16. KM FOR INDIVIDUALS, COMMUNITIES AND ORGANIZATIONS
For the Individual KM
Helps jobs, save time, decision making and Problem
solving, Keep up to date, contribute Challenges &
Opportunities
For the Community KM
Develops Professional skill, peer-to-peer mentoring,
networking, code of ethics and common language.
For the Organization KM
Drive Strategy, Cross-fertilizes ideas, builds organization
memory
17. KM FOR INDIVIDUALS, COMMUNITIES AND ORGANIZATIONS
For the Individual KM
Helps jobs, save time, decision making and Problem
solving, Keep up to date, contribute Challenges &
Opportunities
For the Community KM
Develops Professional skill, peer-to-peer mentoring,
networking, code of ethics and common language.
For the Organization KM
Drive Strategy, Cross-fertilizes ideas, builds organization
memory
18. KNOWLEDGE MANAGEMENT THEORIES
1.Multi Perspective Theory
2. Triology Model
2.1.OODA Loop Model
2.2. SECI Model
2.3. Oinas-Kakkonen Model
3. KISARD Model
4. Knowledge Management Hypercube Strategy
19. 1. MULTI PERSPECTIVE THEORY (TOP)
Technical Perspective (T)
KMS strategy is mainly discussed in information
technology and communication area comprising of
network infrastructure, intelligent systems, technology
equipment and internet/intranet tools
Organizational Perspective (O)
KMS research is described by social science and business
management discipline related to the context.
Business direction and process within its environment that
supported KMS technology.
Personal Perspective (P)
KMS is concerned on the issues related to human factor
within the context comprising psychology and sociology
aspects.
It helps researcher to understand the complex human
issues of the organization
21. 2. TRIOLOGY MODEL
2.1.OODA Loop Model
Not much is understood about how knowledge is created
in organizations or how the knowledge creation process
can be managed (Tsoukas and Mylonopoulos, 2004).
However, some tend to believe that a single model devised
to work on knowledge creation is enough to work in all
situations, similar to the theorems developed in
Mathematics.
Knowledge is regarded as important for creating
organizational value and enhancing organizational
competitiveness, especially in an unpredictable
environment (Nonaka, 1994).
Same is very true for learning organizations. Today, in the
age of knowledge economy and knowledge is the key to
success of the individual, the organization and even the
nation as a whole.
22. 2. TRIOLOGY MODEL
The focus here is to understand three models of
Knowledge Management sectors of society at different
times.
2.1.The OODA Loop Model (for Observe, Orient, Decide and
Act), a concept applied to the combat operations process,
often at tactical, operational tactical and grand strategic
level in the military is also adapted today by commercial
operations.
2.2.The SECI Model (Socialization, Externalization,
Combination and Internalization) was developed in 1991 by
Professor Ikujiro Nonaka of Japan Institute of Science and
Technology and
2.3.Oinas-Kakukonen Model (Comprehension,
Communication, Conceptualilization and Collaboration)
was proposed in 2004 by Harri Oinas-Kukkonen of the
University of Oulu, Finland and Stanford University, USA.
23. 2.1. OODA LOOP MODEL
• John Boyd emphasized that learning is a product of
decision making process within the mind of the person.
Thus, understanding this process and creating a shorter
and better way to create learning must be the main focus,
in order for the organization to ensure that learners will be
able to demonstrate their learning at the fastest rate
possible and gain advantage against the enemy. In our
case the enemy is time.
• According to John Boyd, this decision making process
within the person’s mind can be classified into a Process
Loop. This means that a human being can learn and come
up with his best decision using a single process loop. He
called this as OODA Loop, which is derived from, Observe,
Orient, Decide and Act (OODA).
24. 2.1. OODA LOOP MODEL
Observe
• John Boyd Theory contends that the very first step to this
process is for the person to observe the variables around
him. These variables can be events and information that
the person notices around him. He notes it in order to the
preposition his thinking to the next phase of the process,
which is orientation.
Orient
• After noticing the various informations around him, the
learner now positions himself by taking into account his
own previous knowledge, culture and traditions, and new
information. The learner then analyses the new information
versus his own previous knowledge, and connects them
through synthesis. This is the phase where the learner
understands what is going on around him. At this point, the
learner has not created new knowledge, but readies
himself for the next phase of the process, which is to
decide.
25. 2.1. OODA LOOP MODEL
Decide
• At this point, the learner has gained significant level of
understanding regarding the new information around him,
he now understands what is going on and prepares himself
to adapt towards the new situation. So, the next step is to
decide, based on his new experience, if he is going to
make the new experience a part of his new knowledge.
Should the learner decide to neglect the new experience,
his next process is to get back into the observation phase
and restart the process. If the learner accepts the new
experience as part of his new knowledge, he is now
prepared to demonstrate his new learning to his
environment.
Act
• After deciding the best course of action to the given
situation, the learner quickly moves into putting that
decision into action. This is the time that learner
demonstrates his understanding of the given situation to
the best of his ability and knowledge constructed within
his mind.
26. 2.2.SECI MODEL
• According to Professor Ikujiro Nonaka, knowledge creation is a
spiraling process of interactions between explicated and tacit
knowledge. The interactions between the explicit and tacit
knowledge lead to the creation of new knowledge. The
combination of the two categories makes it possible to
conceptualize four conversion patterns. Nonaka also suggests a
different approach which facilitates the knowledge conversion
for his SECI Knowledge Creation Model.
Socialization
• This mode enables the conversion of tacit knowledge through
interaction between individuals. One important point to note
here is that an individual can acquire tacit knowledge without
language. Apprentices work with their mentors and learn
craftsmanship, not through language but by observation,
limitation and practice. In a business setting, on-the-job training
uses the same principle. The key to acquiring tacit knowledge is
experience. Without some form of shared experience, it is
extremely difficult for people to share each other’s thinking
process.
28. 2.2.SECI MODEL
Externalization
• Externalization requires the expression of tacit knowledge and
its translation into comprehensible forms that can be
understood by others. In philosophical terms, the individual
transcends the inner and other boundaries of the self.
• During the externalization stage of the knowledge creation
process, individual commits to the group, and thus becomes
one with the group. The sum of the individual’s intentions and
ideas fuse and become integrated with the group’s mental
world.
• In practice, externalization is supported by two keys factors.
First, the articulation of tacit knowledge, that is, the conversion
of tacit into explicit knowledge, involves techniques that help to
express one’s ideas or images as words, concepts, Figurative
language (such as metaphors, analogies or narratives) and
visuals. Dialogues, listening and contributing to the benefit of all
participants, strongly support externalization.
29. 2.2.SECI MODEL
Combination
• Combination involves the conversion of explicit knowledge into
more complex sets of explicit knowledge. In this stage, the key
issues are communication and diffusion processes and the
systemization of knowledge. Here, new knowledge generated in
the externalization stage transcends the ground in analogues or
digital signals.
Internalization
• Internalization of newly created knowledge is the conversion of
explicit knowledge into the organization’s tacit knowledge. This
requires the individual to identify the knowledge relevant for
one’s self within the organizational knowledge. That again
requires finding one’s self in a larger entity. Learning by doing,
training and exercise allows the individual to access the
knowledge realm of the group and the entire organization.
• In practice, internalization relies on two dimensions: First,
explicit knowledge has to be embodied in action and practice.
Thus, the process of internalizing explicit knowledge actualizes
concepts or methods about strategy, tactics, innovation or
improvement. For example, training programmes in larger
organizations help the trainees to understand the organization
and themselves in the whole.
30. 2.3.OINAS-KUKKONEN MODEL
According to Harri Oinas-Kukkonen, there are four phases or sub-
processes in the knowledge creation process.
Comprehension
• The author contends that learning begins with comprehension.
He defines it as a process of surveying and interacting with the
external environment, integrating the resulting intelligent with
other project knowledge on an ongoing basis in order to
identify problems, needs and opportunities, embodying explicit
knowledge in tacit knowledge, learning by processes. New
concepts or methods can thus be learned in virtual situation.
Communication
• The Oinas-Kukkonene Model says that communication is a
process of experiences between people and thereby creating
tacit knowledge in the form of mental models and technical
skills. It produces dialog records, which emphasize the needs
and opportunities, integrating the dialog slang with resulting
decisions with other project knowledge an ongoing basis. At
this stage, the learner gains new information through
communication with other people, these results in creation of
tacit knowledge that is shared by the people around the learner.
31. 2.3.OINAS-KUKKONEN MODEL
Conceptualization
• According to the Oinas-Kukkonen Model, conceptualization is a
collective reflection process articulating tacit knowledge to form
explicit concepts and systemizing the concepts into a
knowledge system. It produces knowledge products of a project
team, which form a more or less comprehensive picture of the
project in hand, and are iteratively and collaboratively
developed; may include proposals, specifications, descriptions
work breakdown structures, milestones, timeliness, staffing,
facility requirements, budgets etc rarely a one-shot effort.
Collaboration
• With new explicit knowledge, the learners are now ready to work
together into putting their conceptualized information together,
using teamwork, and demonstrate the new knowledge they have
successfully created. All of this revolves around, and is a
product of, collective intelligence of the learners involved.
• In other words, the learners now create their own product,
thereby converting their developed tacit knowledge into explicit
knowledge. The learners can effectively concretize their
understanding in a piece of paper or project.
• Educational model has been derived from the integration of the
OODA Loop Model, SECI Model and Oinas-Kukkonen Model.
32. 2.3.OINAS-KUKKONEN MODEL
Integration of Three Models
• Based on the integration of the three models on knowledge
creation process, a conceptual knowledge creation model
is proposed that is tailored for classroom instructional
application. Knowledge Creation process can be simplified
into three phases. Thus, the new model would be able to
simplify the concepts and processes specially designed for
classroom learning.
• In the workplace environment, people have the mindset to
perform their jobs and earn living. They expect to work and
not learn the way they did in school. That is why they don’t
carry textbooks, notebooks, calculators and other learning
materials paraphernalia and they do not expect professors
or teachers to lecture them on a certain subject. Workers
are oriented to work. That is why, in order to make the
workplace environment a learning organization, orientation
or externalization was included in the business
organization and the academic world today.
33. Integration of Three Models
• The new Trilogy Model of Knowledge is composed of three
processes the learner must undergo before he can develop
and demonstrate his new knowledge. These are the
observation and orientation, adaptation and absorption
and manifestation and substantiation.
• Source: DJ.Collis and Montgomery, Competing on
Resources, HBR, July-August, 1995.
Observation and Orientation
Adaptation and Absorption
Manifestation and Substantiation
35. 3.KISARD MODEL
• AKIS system integrates farmers,
Agricultural Educators, Researchers,
Extensionists to harness the Knowledge
and Information from various sources for
better farming and better livelihood.
• The reality can be emphasized in
“Knowledge Triangle”. Teaching, Research
and Extension are three important
integrating aspect for better performance
among these actors as well as support
systems that facilitate the relationship to
achieve the target of responsibilities.
37. 3. KISARD MODEL
An Idealized AKIS Model
Support Systems
Policy Advocacy
Credit Facilitation
Market Outlet
Price Negotiation
Information Dissemination
Political Empowerment
Exchange of Experience
Supply of Inputs
Supply of Animal Health Services
Supply of Artificial Insemination
Breeding Stocks
38. 4. HYBERCUBE STRATEGY
DIMENSION 7
BUSINESS
PROCESS FOCUS
•Single Process
• Selected Process
• All Process
DIMENSION 1
ORGANIZATIONAL
FOCUS
•Internal Knowledge
• External Knowledge
DIMENSION 6
TARGET GROUPS
•Selected Group
• All Employees
DIMENSION 2
SOCIO TECHNOLOGICAL
FOCUS
•Codification
• Personalization
DIMENSION 3
SPEED LEARNING
•Slow Learning
• Fast Learning
DIMENSION 4
ORGANISATIONAL
KNOWLEDGE BASE
•Narrow Knowledge base
•Broad Knowledge base
DIMENSION 5
DEGREE OF
INNOVATION
•Exploitation
• Exploration
KNOWLEDGE
MANAGEMENT
STRATEGY
39. 4. HYBERCUBE STRATEGY
DIMENSION 1
Internal- Readily available within organization
External – Publications, Universities, Govt.
departments, Vendors
DIMENSION 2
Codification- Knowledge is codified and stored
in databases
Personalization-knowledge is tied to the person
who developed
DIMENSION 3
Slow Learning- Integration of different
knowledge threads
Fast Learning – one singly knowledge thread
40. 4. HYBERCUBE STRATEGY
DIMENSION 4
Narrow Based Knowledge – can lead to core rigidity
Broad Based Knowledge – combination of different knowledge
threads
DIMENSION 5
Exploitation – Incremental Learning
Exploration – Radical Learning
DIMENSION 6
Selected Groups – Target group are the Agricultural Farmers in
particular regions.
All Employees – Employees altogether
DIMENSION 7
Single – Individual’s Responsibility handling of knowledge
Selected – Patents, Operational Management, Customer relations,
Structural Knowledge assets
All Process – Integrated within the overall business strategy in
parallel with other strategies