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iERP - INTELLIGENT ERP SYSTEMS Research Conference in conjunction with ERP Future 2017

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Category artificial intelligence; enterprise systems; big data; business process management

Deadline: April 03, 2017 | Date: May 30, 2017

Venue/Country: Munich, Germany

Updated: 2017-03-09 23:36:58 (GMT+9)

Call For Papers - CFP



Research Conference in conjunction with ERP Future 2017

Date and Venue:

30th of May 2017 - Munich/Germany


Enterprise Resource Planning System (ERP Systems) are the core of information systems in many enterprises. They are the central IT-System to implement the core business processes and manage the critical data assets of enterprises.

In recent years, several technological advances such Advanced Analytics, Cloud-Computing, Mobile and Social-Computing created potentials to extend the proven capabilities of ERP systems. Advanced Analytics methods and capabilities such as prescriptive and predictive analytics and deep learning increase the capability of iERP Systems to gain knowledge about customers and products. Hereby they enable enterprises to make decisions quicker and more precise. Cloud-Computing is used by iERP Systems in two ways. First, cloud-computing enables them to provide their functions in a scalable and efficiently way. Second, cloud-computing is an important platform to integrate customers, suppliers, and mobile employees. Mobile technologies extend the reach of iERP Systems significantly. They enable the integration of mobile customers, products and employees. Social computing captures the actions, opinions, etc. of customers outside transactions and makes them accessible for analysis.

The iERP - Research Conference provides a platform for scientific discussion from a business and computer science point of view regarding Intelligent Enterprise Resource Planning (iERP) covering Methods for Intelligent Enterprise Resource Planning, Business Process Support, Decision Support resp. Decision Automation, Knowledge Mining, Applications of Enterprise Resource Planning, and Technological Foundations. Other related topics are highly welcome.

List of topics:

Methods for Intelligent Enterprise Resource Planning

- Enterprise Architecture Management (EAM) and ERP Systems

- Strategic Management and ERP Systems

- Future Architecture of ERP Systems

- Critical Success Factors of intelligent ERP Systems

- Lean Management for intelligent ERP Systems

Business Process Support

- Business Management and ERP Systems

- Business Process Management

- Process Intelligence and ERP Systems

- Process Mining in Enterprise Systems

- Intelligent Process Monitoring and Controlling in Enterprise Systems

Decision Support resp. Decision Automation

- Business Intelligence

- Artificial Intelligence as Decision Support

Knowledge Mining

- Knowledge Mining for Product Innovations

- Knowledge Mining from Social Media and ERP Systems

Applications of Enterprise Resource Planning

- Industry 4.0 and Enterprise Systems

- Smart Factory and Enterprise Systems

- Intelligent ERP Systems in Automotive, Retail or Logistics

- Intelligent ERP Systems in the Public Sector, NGOs and NPOs

Technological Foundations

- Big Data and ERP Systems

- In-Memory Technology for intelligent ERP Systems

- ERP System as SaaS (Software as a Service) Solutions

- ERP Systems and “Cloud” Intelligence

- Enterprise Information Systems Integration

- Agile and Intelligent Software Development for ERP Systems

- Intelligent Security Engineering and ERP Systems

- Mobile Applications in intelligent ERP Systems

Program Committee:

· Martin Adam (University of Applied Sciences Kufstein, Austria)

· Rogerio Atem de Carvalho (Instituto Federal Fluminense, Brasil)

· Dagmar Auer (Johannes Kepler University Linz, Austria)

· Irene Barba Rodriguez (University of Seville, Spain)

· Josef Bernhart (EURAC Bozen / Bolzano, Italy)

· Miklós Biró (Software Competence Center Hagenberg GmbH, Austria)

· Goetz Botterweck (Lero – The Irish Software Engineering Research Centre, Ireland)

· Lars Brehm (Munich University of Applied Sciences, Germany)

· Ruth Breu (University of Innsbruck, Austria)

· Oliver Christ (Zurich University of Applied Sciences, Switzerland)

· Jörg Courant (HTW Berlin, Germany)

· Maya Daneva (University of Twente, Netherlands)

· Jörg Dörr (Fraunhofer IESE, Germany)

· Dirk Draheim (University of Innsbruck, Austria)

· Sandy Eggert (Berlin School of Economics and Law, Germany)

· Kerstin Fink (University of Innsbruck, Austria)

· Kai Fischbach (University of Bamberg, Germany)

· Johann Gamper (Free University of Bozen-Bolzano, Italy)

· Norbert Gronau (University of Potsdam, Germany)

· Hans H. Hinterhuber (University of Innsbruck, Austria)

· Hans-Joachim Hof (University of Applied Sciences Ingolstadt, Germany)

· Sami Jantunen (Lappeenranta University of Technology, Finland)

· Oliver Krancher (University of Bern, Switzerland)

· Asmamaw Mengistie (Sholla Computing, USA)

· David Meyer (University of Applied Sciences Technikum Wien, Austria)

· Christine Natschläger (Software Competence Center Hagenberg GmbH, Austria)

· Selmin Nurcan (Université de Paris 1 Panthéon - Sorbonne, France)

· Wolfgang Ortner (Joanneum University of Applied Sciences, Austria)

· Kurt Promberger (University of Innsbruck, Austria)

· Manfred Reichert (University of Ulm, Germany)

· Friedrich Roithmayr (Johannes Kepler University Linz, Austria)

· Kurt Sandkuhl (University of Rostock, Germany)

· Rainer Schmidt (Munich University of Applied Sciences, Germany)

· Matthias Schumann (University of Göttingen, Germany)

· Stéphane S. Somé (University of Ottawa, Canada)

· Kai Spohrer (University of Mannheim, Germany)

· Alfred Taudes (WU Vienna University of Economics and Business, Austria)

· Frank Termer (Bitkom e.V., Germany)

· Victoria Torres Bosch (Polytechnic University of Valencia, Spain)

· Alfred Zimmermann (Reutlingen University, Germany)

Organising Commitee:

- Prof. Dr. Lars Brehm, Munich University of Applied Sciences, Germany

- Dr. Verena Geist, Software Competence Center Hagenberg GmbH, Austria

- Assoc. Prof. Dr. Felix Piazolo, Andrássy, University Budapest, Hungary

- A.Univ.-Prof. Mag. Dr. Kurt Promberger, University of Innsbruck, Austria

- Prof. Dr. Rainer Schmidt, Munich University of Applied Sciences, Germany

Organizers and Partners:

University of Innsbruck

Munich University of Applied Sciences

Andrássy University Budapest

Software Competence Center Hagenberg GmbH

ACM - German Chapter

Deadline for submission:

03.04.2017 (via EasyChair:


Please feel free to forward this information.

Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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