Buch, Englisch, Band 285, 147 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 2467 g
5th International Conference, ERP Future 2016 - Research, Hagenberg, Austria, November 14, 2016, Revised Papers
Buch, Englisch, Band 285, 147 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 2467 g
Reihe: Lecture Notes in Business Information Processing
ISBN: 978-3-319-58800-1
Verlag: Springer International Publishing
This book constitutes revised and peer reviewed contributions from the Research part of the ERP Future 2016 conference held in Hagenberg, Austria, in November 2016.
The ERP Future Research conference is set up as a platform for scientific discussion on enterprise resource planning (ERP) systems, business intelligence (BI) systems, business process management (BPM) systems and information technology systems. The conference acts as a discussion and communication platform for business and technological topics covering ERP systems.
The 7 full and 5 short papers presented in this volume were carefully reviewed and selected from 29 submissions. They were organized in the following topical sections: introduction of enterprise systems; business processes; production processes; and IT-trends.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Introduction of Enterprise Systems.- Key Factors for Successful ERP Implementation: Case Studies from Private and Public Organizations in Thailand.- Qualitative Analysis of different ERP Evaluation Models. -Business Processes.- A Fact-Based Meta Model for BPMN. - Elicitation of Processes in Business Process Management in the Era of Digitization - The same techniques as decades ago.- Towards Flexible Business Processes by Supporting Self-Organizing Groups.- Production Processes.- Towards Information Management Support in Test and Piloting of Complex Mechatronic Systems: An Industry Case Study. - Security Aspects and Models in Cooperative Production Processes. -A Practical Approach for Process Mining in Production Processes. - IT-Trends.-Master Data Quality in the Era of Digitization - Toward Inter-organizational Master Data Quality in Value Networks: A Problem Identification.- Towards Differentiating Business Intelligence, Big Data, Data Analytics and Knowledge Discovery. - Significanceof Quality 4.0 in Post Merger Process Harmonization.- Understanding the Flexibility of Cloud ERP Software.
