Knowledge Management UNIT-1 Introduction

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Presentation transcript:

Knowledge Management UNIT-1 Introduction Introduction to KM The Foundations of KM Cultural Issues Technological Applications Organizational Processes and Applications Management Aspects – DSS The evolution of KM From Information Management to KM Key challenges Ethics for KM

Introduction to KM Gartner Group’s Definition

Overview of KM

Perceptions of KM

Why Knowledge Management

Justification for KM How you justify Knowledge Management and its use? Sharing knowledge, a company creates exponential benefits from the knowledge as people learn from it Building better sensitivity to “brain drain” Reacting instantly to new business opportunities Ensuring successful partnering and core competencies with suppliers, vendors, customers, and other constituents Shortens the learning curve It is essential that organizations capture and preserve the knowledge of senior colleagues so that younger employees can make immediate use of it and improve upon it

Central Themes – Organizational Learning

Central Themes – Technology

Central Themes – Document management

KM Foundations and Solutions Knowledge Discovery Knowledge Capture Knowledge Sharing Knowledge Application KM Processes Combination Socialization Internalization Externalization Exchange Direction Routines Knowledge Discovery Systems Knowledge Capture Systems Knowledge Sharing Systems Knowledge Application Systems KM Systems KM Mechanisms Analogies and metaphors Brainstorming retreats On-the-job training Face-to-face meetings Apprenticeships Employee rotation Learning by observation …. Decision support systems Web-based discussion groups Repositories of best practices Artificial intelligence systems Case-based reasoning Groupware Web pages … KM Technologies Organization Culture Organization Structure IT Infrastructure Common Knowledge Physical Environment KM Infrastructure

KM Infrastructure KM mechanisms and technologies rely on the KM infrastructure, which reflects the long-term foundation for knowledge management In an organizational context, KM infrastructure includes five major components: Organization culture Organization structure Information technology infrastructure Common knowledge Physical environment

KM Infrastructure

Interdisciplinary Nature of KM (Kimiz Dalkir, 2005)

History of KM The history of managing knowledge goes back to the earliest civilizations (Wiig, 1997). (Kimiz Dalkir, 2005)

KM Milestones

ELEMENTS OF A KM INITIATIVE Model by Nonaka and Takeuchi, 1995

Cont. PEOPLE Refers to cultural and behavioral approach Knowledge is created by individuals In Japanese Firms, the creation and sharing of knowledge can only happen when individuals cooperate willingly.

Processes in contributing the knowledge management II. PROCESSES Processes in contributing the knowledge management 4 processes of interactions is a spiral process that takes place repeatedly b) Externalization Developing concepts and models to convert tacit knowledge to explicit knowledge Enable it to be communicated to others Socialization Sharing tacit knowledge through face-to-face communication or shared experience. eg: meeting c) Combination Combination of various elements of explicit knowledge to form more complex and systematic explicit knowledge d) Internalization Understand explicit knowledge Closely linked to learning by doing http://knowledgeandmanagement.wordpress.com/seci-model-nonaka-takeuchi/

Cont. TECHNOLOGY Refers to the network system Facilitate connections: Among knowledgeable people (by helping them find & interact with one another) Between people and sources of information Through ICT, explicit knowledge can be captured and disseminated

THE EVOLUTION OF KM The use of information technology in KM KM has undergone a paradigm shift from a static, knowledge-warehouse approach towards a dynamic communication-based or network approach focusing more on tacit knowledge. KM is a dynamic people-centric approach especiqlly on cultural problems and motivational issues in knowledge sharing. The use of information technology in KM ●Business process reengineering ● Communities & colaboration ● Tacit knowledge ● Incentives and reward

KM has evolve from the combination of 2 factors : The business world’s enthusiasm for “intelectual capital” The appearance of corporate intranet (ideal tool to link and organisation together to share and disseminate knowledge throughout scattered offices and units

INFORMATION MANAGEMENT ● Focuses on information as a resource or collection. ● Practitioners select, describe, classify, index, and abstract this information to make it more accessible within and outside the organization. ● IM is concerned to provide transparent and standardized access using technology by storing and organize information.

KNOWLEDGE MANAGEMENT ● Focuses on its users. ● Practioners summarize, contextualize, value-judge, rank, synthesize, edit and facilitate to make information and knowledge accessible between people within or outside their organization. It concerns with the social interactions with sharing and use of knowledge. ● KM is largely based on tacit interpretation that relate to human behavior and interchange.

FROM INFORMATION MANAGEMENT TO KNOWLEDGE MANAGEMENT Knowledge Management : The Information – Processing Paradigm The process of collecting, organising, classifying and dissemination of information to make it purposeful to those who need it Capture knowledge in the mind of in a central repository. Organising and analyzing information in a companies computer database. Identification of categories of knowledge needed to support overall business strategy Combining, indexing, searching and push technology to help companies organize data stored and deliver only relevant information using Intranet, groupware, data warehouse, networks, and video conferencing. Mapping knowledge and information resources both online and offline Knowledge assets are created through computerized collection, storage and sharing of knowledge

KEY DIFFERENCES BETWEEN INFORMATION MANAGEMENT AND KNOWLEDGE MANAGEMENT Interplay Between Information and Knowledge Information can easily, organized and distributed whereas knowledge resides in one’s mind (human centric) 2. IM and KM Projects: different scopes, approaches and measurement systems KM rely on the willingness of individuals whereas IM rely on technical achievement to enable knowledge sharing 3. Organizational Learning and KM Organization can learn through self-knowledge, dialogue and reuse the existing knowledge into new information 4. Broad Concepts of KM - Time, Context, transformations and dynamics, social space and knowledge culture 5. Protecting Intellectual Capital: IM and KM Perspectives IM used firewall, permission and access level whereas KM used retention policies and circulation of knowledge (senior to junior)

Tacit knowledge Explicit knowledge Ability to adapt, to deal with new an exceptional situations Ability to disseminate, to reproduce, to access and to reapply throughout the organization Expertise, know-how, know-why and care-why Ability to teach, to train Ability to collaborate, to share a vision, to transmit a culture Ability to organize, to systematize, to translate a vision into a mission statement, into operational guidelines Coaching and mentoring to transfer experiential knowledge on one-to-one, face-to-face basis Transfer of knowledge via products, services and documented processes

KM Model - Explicit Knowledge & Tacit Knowledge

KM Model Infrastructure

KM MODEL

Explicit Knowledge - Supplier

Explicit Knowledge - forms

Tacit Knowledge

Information Management to Knowledge management The Primary focus is not doing things right rather Doing the right things is important

Information Management to Knowledge management

KM- The issues to be addressed

Understanding Knowledge

Understanding Knowledge Intelligence, Expereience, common Sense

Data- Information - Knowledge

Data- Information - Knowledge

Data- Information - Knowledge

Knowledge

Kinds of Knowledge

Procedural, declarative, Semantic, episodic Knowledge Tacit – explicit Knowledge

Knowledge Chunking

Knowledge as Attribute of Expertise

Knowledge as Attribute of Expertise

Thinking and Learning in Humans

Thinking and Learning in Humans