E-Commerce and Business Intelligence

Paper Code: 
GBCA402
Credits: 
6
Periods/week: 
6
Max. Marks: 
100.00
Objective: 

This course aims at leveraging e- commerce aspects through information technology to acquaint the students with e commerce concepts and business intelligence process.

18.00
Unit I: 
Introduction to E-Commerce:

Introduction to E-Commerce: The Scope of Electronic Commerce, Definition of Electronic Commerce, Electronic Commerce and the Trade Cycle, Electronic Markets, Internet Commerce, Advantages and limitation of E-commerce, Supply Chains, Porter’s Value Chain Model, Inter Organizational Value Chains, Porter’s Model, First Mover Advantage, Sustainable Competitive Advantage, Competitive Advantage using E-Commerce.

Other concepts: E-supply chain, Virtual value chain, and M-commerce.

18.00
Unit II: 
Business Models:

Business Models and EDI: Business Models for E-Commerce (B2B, B2C, C2B, C2C), E-business models based on relationship of transaction types: Brokerage model, aggregator model, info-mediary model, community model, manufacturer model, affiliate model.EDI: - Introduction to EDI, EDI definition, the benefit of EDI, EDI technology, standards, EDI communication, EDI implementations, EDI security. EDI trading patterns, Transactions, EDI adoptions and maturity

 

 

 

18.00
Unit III: 
EDI,Internet & Web Design:

Electronic Markets, usage of electronic markets, advantages and limitation of electronic markets, future of electronic market. Business on the internet and life cycle approach. E-payment system: online payment category, digital token based E-payment system, micropayment, smart cards, and mobile payments, e-cash, e-wallet, e-cheque. Introduction to secure electronic transaction (SET), security solutions: cryptography, authorization, digital currency and signature. Crypto currency concept, bit coin & block chain.

ERP: Overview, Integrated Management Information, Resource management, scope, benefits-of-ERP. Business Engineering and ERP: significance and principles, business engineering with information, business modeling for ERP, implementation of ERP problem, key issues, implementation guidelines and methodology. Application of SAP in financials, production data management.

18.00
Unit IV: 
Business Intelligence:

Business Intelligence: Introduction, Definition, History, Data, Information, knowledge and Intelligence, Pattern Recognition, Data Processing Chain, BI architecture, components of Business Intelligence System, mathematical model in BI, cycle of Business Intelligence analysis, phases  in the development of BI System, BI Application.

Unit V: 
Business Intelligence User Model:

Data warehouse and BI tools: Introduction to data warehouse, Definition, Data category in data warehouse: Internal, External and Personal, Online transaction processing and online Analytical Processing, comparison between OLTP and OLAP, Data warehouse architecture, Data mining: models, techniques and applications, BI tools.

 

 

ESSENTIAL READINGS: 
  1. David Whiteley, E-Commerce, Tata McGraw Hill
  2. PT Joseph, S.J., E-commerce An Indian Perspective, Third Edition, PHI
  3. T.N. Chhabra, R.K.Suri, E-Commerce new vistas for business, Dhanpat Rai & Co.
  4. Carlo Vercellis ,Business Intelligence: Data Mining and Optimization for Decision Making, John Wiley & Sons, Ltd. 2009
  5.  Anil K. Maheshwari, Business Intelligence and Data_Mining,BEP,2015
  6.  Arvind Narayanan, Joseph Bonneau, Edward Felten, Andrew Miller, Steven Goldfeder,  Bitcoin and Cryptocurrency Technologies, Princeton University Press ,2016
  7. Vinod Kumar Garg, N.K.Venkit krishnan, Enterprise Resource Planning: Concepts & practices, Second Edition,PHI.,2011.
REFERENCES: 
  1. Eframi Turban, Jae Lee, David King, K. Michale Chung, Electronic Commerce, Pearson Education
  2. Business Intelligence Strategy: A Practical Guide for Achieving Bi Excellence
  3. Mike Biere, "Business Intelligence for the Enterprise", IBM Press,2003 - Business & Economics

 

Academic Year: