Unit 1

Knowledge management concepts – Introduction – Definitions of Knowledge – Data-information and knowledge – basic thoughts on knowledge – difference between wisdom and knowledge – information Management and knowledge Management – hierarchy model – knowledge types – explicitness – reach – abstraction level – propositionality – Earl’s schools of knowledge management.

Unit 2

Knowledge management and process – Becerra-Fernandez and Stevenson knowledge process – Nonaka’s Knowledge Spiral – dynamics of knowledge creation – knowledge management systems – knowledge management sub – processes – knowledge discovery – knowledge capture – knowledge sharing –knowledge application.

Unit 3

Organizational knowledge – Need – benefits – components and functions – Knowledge management in virtual organizations – knowledge management in professions – a study of IT and ITES business – knowledge management system requirements – Organizational knowledge measurement techniques – organizational implementation barriers.

Unit 4

Designing Enterprise Knowledge Management System architecture – Multi-layer architecture for Knowledge Management Systems – knowledge management in decentralized and heterogeneous corporations – Web based knowledge management support for document collections.

Unit 5

Recent Tools for KM – Intelligent support systems – intelligent systems and artificial intelligence – comparing artificial and neural intelligence – conventional vs. Artificial intelligence – Emerging technology – virtual reality – Intellectual capital.

Objective: To enable students to understand the basics of Knowledge Management and its applications in organizations

Course Outcomes

1. Knowledge Management – Sudhir Warier, Vikas Publications.
2. Knowledge Management Systems – Stuart Barnes, Thomson Learning. 
3. Key issues in the New Knowledge Management – J.M. Firestone, M.W. Mcelroy. 
4. Developing Expert System for Business – Chandler/Liang. 
5. Knowledge Management – Pankaj Sharma, APH Pub