The world is becoming more and more 'digital'. The digital technology has transformed the entire world to a new reality. Almost all sectors like journalism, banking, finance, manufacturing, health care, education, entertainment etc are influenced by digital revolution. It is essential to examine a variety of business, technical, legal and all other related issues and seek to identify the opportunities and challenges in the movement toward being digital. We also look and understand how a number of enterprises spawned by digital technology to learn about how they function. he digital revolution. The research on digital enterprises and technology will lead us in the next generation and to have a perception on how and where digital technology is heading. The proposed conference will foresee such future. The conference will address the following topics (not limited)

Topics
E-Business
Consumer Electronics
Digital Libraries
Digital Economy
Digital Data Mining
Digital Enterprises
E-Commerce Technology
E-Business Applications and Software
E-Commerce in developing countries
Global E-Commerce
Infrastructure for E-Commerce
Marketing on the Web
Barriers to E-Business Adoption
Cryptography for enabling E-Commerce
e-Commerce Strategy & Implementation
Internet payment systems
E-Logistics
E-Government
E-Procurement
E-Services
Business-oriented E-Commerce
Consumer-oriented E-Commerce
Web advertising and Web Publishing
Mobile Commerce
Supply Chain Management & E-Fulfilment
E-Communities
Regulatory/Policy Issues
Social Issues in E-Commerce
The Regulatory Environment of E-Commerce
Trust & Security Issues in E-Commerce
Web Services
Cloud Technology
Security Issues in E-Commerce
Multidimensional modelling and queries
Online Analytical Processing (OLAP)
Operating Systems
Green Computing/ Mobile Technologies
Artificial Neural Networks
High Performance Computing for BI
Semantic Web and Ontology for BI
Databases for business
Digital Business Ecosystems and BI
Text Mining and Web Mining
Wireless and Mobile Technologies
Enterprise Engineering
Data Warehousing Technology
Data Management
Data Modeling