E-COMMERCE AND BUSINESS INTELLIGENCE

Paper Code: 
GBCA 402
Credits: 
06
Periods/week: 
06
Max. Marks: 
100.00
Objective: 

The course will enable the students to

  1. Understand the scope of e-commerce in the realm of modern business.
  2. Acquaint with E-commerce concepts and business intelligence process.
  3. Comprehend different types of E-Commerce models and electronic payment system
  4. Be aware of the technologies used to develop and deliver e-commerce applications.

Course Outcomes (COs):

Learning Outcome (at course level)

Learning and teaching strategies

Assessment Strategies

The students will:

CO 186.Analyze the concept of E commerce, electronic market and market place.

CO 187.Categorize the business models and business standards.

CO 188.Analyze the legal and security issues in online systems.

CO 189.Explain the lifecycle of business intelligence and dataware housing.

CO 190.Analyze & Compare different BI tools in Business Application.

 

Approach in teaching:

Interactive Lectures, Discussion, Tutorials, Reading assignments, Demonstration,

Learning activities for the students: Self learning assignments, Effective questions, Simulation, Seminar presentation, Giving tasks.

Class test, Semester end examinations, Quiz, Assignments, Presentation, Peer Review

 

 

 

18.00
Unit I: 

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 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: 

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: 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.

 

18.00
Unit V: 

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

  1. Mike Biere, "Business Intelligence for the Enterprise", IBM Press,2003 - Business & Economics

 

Academic Year: 
2021-22
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