KNOWLEDGE MANAGEMENT

Course Code: MMS 209 Credit Units: 03

Course Objective:Information Systems (IS) enables new approaches to improve efficiency and efficacy of business models. This

course will equip the students with understanding of role, advantages and components of an Information System.

The objective of the course is to help students integrate their learning from functional areas, decision making

 process in an organization and role of Information Systems to have a vintage point in this competitive world.

Pre-requisite:For studying this course a student should have through understanding of information technology and information

system and should know the various technologies used in organization for information flow

Course Contents:

Module I: Information Systems In Business and Decision Support Process in BusinessBusiness Process, and role of Information Systems in Business Processes , Types of Management Support Systems,(

Transaction Processing System, Management Information System, Decision Support Systems, Executive Support

Systems and Strategic Information Systems, Components of Information Systems, Centralized and Decentralized

Information Systems .Role of Information in Decision Making Process, Steps in Decision Making , Levels of

Decision Making , Types of Decision (Structured , Semi structured & Non Structured Decisions ) . 

Module II: Knowledge Management Concepts 

Introduction to KM, KM myths, understanding knowledge , Types of knowledge, Knowledge management system

life cycle , Introduction to the models of knowledge management . Concept and Characteristics of Knowledge Based

Organizations. Managing Knowledge for organizational effectiveness- Process and Methods; Concept of Intellectual

Capital and Learning Orientation in the Organizations; Knowledge and Role related issues

Module III: KM and technology related with it

Technology behind KM, Implementation of KM in an organizations, Various parameters of implementation, Expert

Systems, various knowledge capturing techniques. Knowledge transfer in e-world and its related concepts .

Module IV: Data warehouse: Architecture to implementationIntroduction to DWH, Data in data warehouse, Architecture of DWH, Data warehouse design, Justifying the data

warehouse, Implementation of DWH, Business intelligence, Data warehouse and MIS Case study on data ware

house to store and transfer knowledge

Learning outcomes: Upon successful completion of this course, the student will be able to:

•  Identify and understand role of knowledge to make and organization profitable

•  Through understanding of various ways for protecting human capital, intellectual capital and structural capital in

 business.

•  Information system and information technology

•  Understand function of business by learning trends and techniques like DHW & Data mining

Examination Scheme:

Components CPA TP Q/S A ME EE

Weightage (%) 5 5 5 5 10 70

Text & References:

•  Jawadekar, WS (2009); Management Information System; Tata Mc Graw Hill Publication

•  Mclead R & Schell G (2009), Management Information Systems; Pearson Prentice Hall

•  O’Brein, JA (2009); Introduction to Information Systems; Tata Mc Graw Hill Publication

•  Lauden KC & Lauden JP (2010), Management Information Systems – Managing the Digital Firm, Pearson

Prentice Hall

•  Oz E (2009), Management Information Systems, Cengage Learning

•  Turban E, Earonson J et al. (2006), Decision Support and Business Intelligence Systems, Prentice Hall of India

•  Fernandz !B & Sabherwal R (2010); Knowledge Management – systems and Processes; PHI Learning.