Research and Practical Issues of Enterprise Information Systems II Volume 1

Ifip Tc 8 Wg 8.9 International Conference on Research and Practical Issues of Enterprise Information Systems (Confenis 2007), October 14-16, 2007, Beijing, China
2008. Auflage 2007
ISBN: 978-0-387-75901-2
Verlag: Springer

Buch, Englisch, Band 254, 806 Seiten, Format (B × H): 162 mm x 244 mm, Gewicht: 1309 g

Reihe: IFIP Advances in Information and Communication Technology

Research and Practical Issues of Enterprise Information Systems II, Volume 1 presents work from the IFIP TC 8 WG 8.9 International Conference on the Research and Practical Issues of Enterprise Information Systems (CONFENIS 2007).Enterprise information systems (EIS) have become increasingly popular over the last 15 years. EIS integrate and support business processes across functional boundaries in a supply chain environment. In recent years, more and more enterprises world-wide have adopted EIS such as Enterprise Resource Planning (ERP) for running their businesses. Previously, information systems such as CAD, CAM, MRPII and CRM were widely used for partial functional integration within a business organization. With global operation, global supply chain, and fierce competition in place, there is a need for suitable EIS such as ERP, E-Business or E-Commerce systems to integrate extended enterprises in a supply chain environment with the objective of achieving efficiency, competency, and competitiveness. As an example, the global economy has forced business enterprises such as Dell and Microsoft to adopt ERP in order to take the advantage of strategic alliances within a global supply chain environment. Today, not only the large companies, but also the medium companies are quickly learning that a highly integrated EIS is more and more a required element of doing business. Businesses all over the world are investing billions of dollars in acquiring and implementing EIS in particular ERP systems by SAP and Oracle. As a result, there is a growing demand for researching EIS to provide insights into challenges, issues, and solutions related to the design, implementation and management of EIS.

Zielgruppe

Research

Autoren/Hrsg.

Xu, Li D

Tjoa, A Min

Chaudhry, Sohail S

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik Systemverwaltung & Management
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik

Inhaltsverzeichnis

A Hybrid Approach for Business Process Verification.- Grid-Based Information Aggregation Architecture for Supply Chain Coordination.- What is Business Process Management: A Two Stage Literature Review of an Emerging Field.- Grid-VirtuE: A Layered Architecture for Grid Virtual Enterprises.- Value Network Positioning of Expected Winners: Analysis of the Top Software Business Start-ups.- A Review on the Relationship Between New Variables and Classical TAM Structure.- A Study on Self-adaptive Heterogeneous Data Integration Systems.- Design and Implementation of Enterprise Spatial Data Warehouse.- A Study on the Relationship Between ERP Logic and Direct Consume Coefficient of I/O Table.- On Bill of Knowledge Resources during ERP Implementation.- Dynamic Ontology for Supply Chain Information Integration.- An Enterprise Content Management Solution Based on Open Source.- A Quality Control Model for Extended Enterprises and Its Implementation.- Analysis of the Interaction Design for Mobile TV Applications Based on Multicriteria.- Function Point Metrics Improvement and Application in E-Commerce.- How to Resolve Conflict in Strategic Alliance: A Cognitive-Map-Based Approach.- Optimizing Supply Chains through Service-Oriented Architecture.- A Research on the Authorization Model Based on Organizational Management in E-Gov.- A Case Study of Enterprise Application Integration Based on Workflow Management System.- An SVR-Based Data Farming Technique for Web Application.- Enterprise Business Intelligence Data Preparation Using RDF Data Sources.- Modeling Enterprise Intelligence Component Based on Multi-Agents.