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Innovations in Enterprise Information Systems Management and Engineering

5th International Conference, ERP Future 2016 - Research, Hagenberg, Austria, November 14, 2016, Revised Papers

  • Felix Piazolo
  • Verena Geist
  • Lars Brehm
  • Rainer Schmidt
Conference proceedings ERP Future 2016

Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 285)

Table of contents

  1. Front Matter
    Pages I-VIII
  2. Introduction of Enterprise Systems

    1. Front Matter
      Pages 1-1
    2. Christoph Weiss, Manfred Kofler, Johannes Keckeis, Robert Friedemann
      Pages 17-25
  3. Business Processes

    1. Front Matter
      Pages 27-27
    2. Peter Bollen
      Pages 29-41
    3. Christa Illibauer, Christine Natschläger
      Pages 57-65
  4. Production Processes

    1. Front Matter
      Pages 67-67
    2. Christian Salomon, Rudolf Ramler, Albert Mayrhofer, Gerhard Sperrer
      Pages 69-76
    3. Christine Natschläger, Felix Kossak, Christian Lettner, Verena Geist, Andreas Denkmayr, Beate Käferböck
      Pages 87-95
  5. IT-Trends

  6. Back Matter
    Pages 147-147

About these proceedings

Introduction

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.

 

Keywords

enterprise information systems enterprise architecture enterprise computing BPM - Business Process Management information systems process mining business intelligence data quality big data

Editors and affiliations

  • Felix Piazolo
    • 1
  • Verena Geist
    • 2
  • Lars Brehm
    • 3
  • Rainer Schmidt
    • 4
  1. 1.Andrassy University Budapest BudapestHungary
  2. 2.Software Competence Center Hagenberg HagenbergAustria
  3. 3.Munich University of Applied Sciences MunichGermany
  4. 4.Munich University of Applied Sciences MunichGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-58801-8
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-58800-1
  • Online ISBN 978-3-319-58801-8
  • Series Print ISSN 1865-1348
  • Series Online ISSN 1865-1356
  • Buy this book on publisher's site