Call for Papers DEC17


The GI-conference includes invited key note speakers, workshops on specific Digital Enterprise Computing topics based on submitted competitive papers, a poster session for student research projects, as well as a PhD-workshop on current research topics. A panel discussion will address current topics and future perspectives of Digital Enterprise Computing– with leading representatives from science, business, politics and society.

Guidelines for Authors

DEC17 conference invites the submission of research results around the corresponding tracks in three formats: Full papers, position papers, and posters. Full research papers should not exceed 12 pages. Position papers should be no more than 4 pages. The presentation language is English and should comply with the highest academic standards. Acceptance is based on multiple anonymous (double-blind) reviews. Submissions should be forwarded via The GI guidelines for authors are mandatory. Please only use the Word Template. In case of acceptance, you have to submit a Word file. Accepted papers will be published in the German Informatics Society proceedings. Selected authors will be asked to publish a revised version in an associated journal.

Important Dates

  • Submission Deadline: 22nd April, 2017 (extended)
  • Notification of Acceptance by 7th May, 2017
  • Final version of Accepted Papers by 21st May,2017
  • Conference: 11th and 12th July, 2017


Roland Bernhard – President of Böblingen District

Conference Co Chairs

Alexander Rossmann – Reutlingen University  
Alfred Zimmermann – Reutlingen University

Program Committee 2017

Karlheinz Blank – T-Systems Stuttgart
Oliver Bossert – McKinsey Frankfurt

Cristobal Curio – Reutlingen University

Masud Fazal-Baqaie – S&N Invent
Eckhart Hanser – Baden-Wuerttemberg Cooperative State University Loerrach
Dieter Hertweck – Reutlingen University

Knut Hinkelmann – FHNW Switzerland

Chris Hinsch – Seidman College of Business Grand Rapids
Björn Ivens – Bamberg University

Dimitis Karagiannis – University of Vienna

Nina Krey – Rowan University
Artus Krohn-Grimberghe – University of Paderborn
Marco Kuhrmann – TU Clausthal
Frank Leymann – University of Stuttgart

Pawel Lula – Univ. Economiczny Krakowie

Jürgen Münch – Reutlingen University

Alexander Paar – TWT GmbH Science & Innovation

Ilia Petrov – Reutlingen University

Dietmar Pfahl – University of Tartu
Gunther Piller – Mainz University
Kumar Rakesh Ranjan – Indian Institute of Management Calcutta

Philipp Rauschnabel – University of Michigan

Christian M. Ringle – Hamburg University

Alexander Rossmann – Reutlingen University

Kurt Sandkuhl – University of Rostock

Marko Sarstedt – Magdeburg University

Frank Scheffler – Dibuco Germany
Rainer Schmidt – Munich University

Matthias Schulten – Furtwangen University
Christian Schweda – Reutlingen University

Krassen Stefanov – University of Sofia

Ulrike Steffens – HAW Hamburg

Vjeran Strahonja – University of Zagreb
Alexander Volland – Union IT-Services GmbH

Holger Wittges – TU Munich

Alfred Zimmermann – Reutlingen University

Track 1: Agility & Innovation

Track Chair: Jürgen Münch, Reutlingen University

  • Mixing agile and traditional software development.
  • Agile and lean practices for regulated domains such as automotive.
  • Agile transformation and organizational change.
  • Innovation management, startups, and entrepreneurship.
  • Lean and agile product management approaches.
  • Lean Startup, customer development, and experimentation.

Track 2: Digital Models & Architecture

Track Chairs: Dieter Hertweck and Alfred Zimmermann, Reutlingen University

  • Models for Digitization of Products, Services, Processes, Systems, and Enterprises
  • Digital Strategy, Governance and Management, Digital Maturity Models
  • Self-optimizing and Resilient Adaptive Systems and Architectures
  • Multi-perspective Digital Architectural Viewpoints, Methods, and Environments
  • Decision Support Processes and Architectural Frameworks
  • Digital Value Chain Architectures and simulation models

Track 3: Digital Marketing

Track Chairs: Philipp Rauschnabel, University of Michigan, Dearborn, College of Business; Alexander Rossmann, Reutlingen University

Digital Marketing refers to the use of digital technologies in marketing research and practice. Such technologies are leading to a significant change in marketing strategies. This covers the global rise of eCommerce, social media, search engine and display marketing, virtual and augmented reality, as well as the evolution of new marketing services empowered by customer co-creation, customer data, and other relevant issues. The development of the Internet of Things is fostering this development with an additional impetus. Digital marketing demands a strong interdisciplinary approach between business-, management, and IS-related domains.

  • Digital marketing strategies.
  • Consumer journey management and analytics.
  • Social media marketing, customer co-creation strategies.
  • Marketing services in the era of Internet of Things.
  • Online shops, dynamic pricing, assortment strategies.
  • Virtual and augmented reality solutions in the marketing context.
  • Search engine marketing, real time and programmatic advertising.
  • Data-based marketing solutions, performance marketing.
  • Systems and software for digital marketing.
  • Managing multiple stakeholders through digital channels
  • Digital ‘DNA” of companies

Track 4: Cognitive Computing

Track Chairs: Alexander Paar, TWT GmbH Science & Innovation; Cristobal Curio, Reutlingen University

  • Industrial applications of artificial intelligence.
  • Cognitive methods for data-intensive use cases.
  • Approaches for efficient data exploration and effective feature engineering.
  • Data models and index structures for learning systems.
  • Applications of question answering computer systems (e.g., IBM Watson, HPE Haven OnDemand).
  • Human-centered intelligent digital assistants.

Track 5: Smart Data

Track Chairs: Ilia Petrov, Reutlingen University

  • Novel database systems architectures: graph, cloud, explorative, computational, sensor, text, probabilistic, temporal and spatial, databases; Big data storage, replication, and consistency.
  • Big Data and scalable data analytics: Data mining and knowledge discovery; streaming data analysis; data models and query languages.
  • Data curation, provenance and data warehousing, OLAP, and ETL tools: Data quality and data cleansing.
  • Information extraction and integration; Information quality and usability.
  • Data and information visualization; user interfaces.
  • Data security and privacy.