Track 7: Sustainability, Energy and Mobility


Economic, social and ecological sustainability ranks top in the ’Grand Challenges‘ of the 21st century. Mankind’s resources must be preserved on a long-term basis and generation fairness requires that the next generations will have not worse, but if possible better economic, social and ecological living conditions. Intelligent information systems (IS), information technologies (IT) and information processes (IP) make an important contribution to reach the goals of sustainability. Target groups and users are companies, politics, and also each individual citizen. Safety and stabil-ity of the IS, IT and IP as well as privacy of personal data also can be addressed, if the focus is on the track topics sustainability, energy and mobility.

The German and global energy system transformation ('Energiewende’) with its goal conversion to renewable sources of energy leads to dramatic changes, e.g., today in the electric power supply system. Today’s electric power generation in large power plants is aligned to the given demand. But, in the future it is necessary to adapt the demand to the volatile supply of renewable energy generation. Within this transfor-mation not only technological aspects play an important role, but also the integration of consumer and “prosumer” aspects. Challenges are thereby not only limited to the domain “electric power”. Challenges also include gas and heat supply and mobility demands which must be analyzed with integrated approaches. Intelligent IS, IT and IP are the backbone of the energy system transformation. Technology acceptance, cost-benefit analyses, and financing, e.g., must be investigated interdisciplinary.

’New mobility’, e.g., car sharing, an intermodal mobility-mix of individual and public, short- and long-distance traffic for both people and goods or new, renewable fuels as in electric vehicles, rises various challenges for intelligent IS, IT and IP which must support or enable this ’new mobility‘. Apart from different technological aspects it must be investigated, how (and why) IS and IT can support decision making for mo-bility demanding people and companies. Smartphones, e.g., can find mobility alter-natives or, integrated into the Car IT, support drivers in energy efficient driving. In-telligent back-office systems are also interesting which, e.g., inform about mobility offers, utilization, and energy consumption and optimize customers’ comfort.

For Information Systems Research with a Management or Applied Computer Science perspective there are many practically relevant problems and research questions. Scientifically valid research methods are, e.g., prototype tests, case studies, laboratory or field studies and experiments, user and expert questionnaires or technology acceptance models. Adequate are, e.g., also medium- and long-term scenario, sensitivity, robustness and safety analyses. In general new, scientifically valid results, theories and models as well as prototypes from science and practice can be discussed and valuable recommendations and strategies have to be outlined.

Topics
  • Analyses of Cause and Effect Laws and Interdependencies for the Development of IS, IT and IP as well as for Theory and Model Building,
  • Reference and Process Models for Sustainability Improvement and Usage of Renewable Energies and ’New Mobility’,
  • Software, Decision Support Systems (DSS), and Technology Acceptance Models for Scenario, Sensitivity, Robustness and Safety Analyses,
  • Cost-Benefit and Value Contribution Analyses (‘IS success‘) of IS, IT and IP,
  • Intelligent, Efficient IS, IT and IP to support and enable Sustainability including ’Green IT‘ and ’Green by IT’,
  • Political Decision Support Systems (PDDS),
  • Safety, Security, Stability, Risk Management and Privacy,
  • Energy, Resources and Sustainability Management,
  • Concepts for IS, IT, IP and DSS to support and enable Market Mechanisms in the Energy Sector, Acceptance of Market Players, and Incentive Systems with Tariff Models, Price Mechanisms or Revenue Management,
  • Load Balancing in Electric Power Networks, especially ’Smart Grids‘, ’Smart Homes’, ‘Smart Cars’, ‘Smart Companies’, and ‘Smart People‘,
  • Multi-Agent Systems, Autonomous Systems, Distributed Artificial Intelligence as well as Self-Organization Algorithms with a focus on Sustainability, Energy, and Mobility,
  • IS and DSS for ‘New Mobility‘ and
  • Usage of smartphones, tablet PCs, browser-based portal solutions and iOS, Android, and Win-dows apps.
Track Chairs
Prof. Dr. Michael H. Breitner, Leibniz Universität Hannover,
Prof Dr. Christof Weinhardt, Karlsruher Institut für Technologie

Program committee
Prof. Dr. Dr. h.c. Hans-Jürgen Appelrath, Carl von Ossietzky University of Oldenburg, Germany
Prof. Dr. Hans-Ulrich Buhl, University of Augsburg and Fraunhofer FIT Project Group WI, Germany
Dipl.-Ök. Kenan Degirmenci, Schaufenster Elektromobilität Hannover, Germany
Prof. Dr. Carsten Felden, TU Freiberg, Germany
Prof. Dr.-Ing. Ulrich Greveler, Rhine-Waal University of Applied Sciences, Germany
Dr. Nadine Guhr, Leibniz Universität Hannover, Germany
Prof. Dr. Lutz Kolbe, Georg-August Universität Göttingen, Germany
Prof. Dr. Sebastian Lehnhoff, Carl von Ossietzky Universität Oldenburg, Germany
Prof. Dr. Reinhard Madlener, RWTH Aachen, Germany
Prof. Dr. Hans-Jörg von Mettenheim, Leibniz Universität Hannover, Germany
Prof. Dr. Andreas Möller, Leuphana Universität Lüneburg, Germany
Prof. Dr. Stefan Naumann, Trier University of Applied Sciences - Environmental Campus Birkenfeld, Germany
Prof. Dr. Andreas Rausch, Clausthal University of Technology, Germany
Dr. Martin Sachenbacher, Technische Universität München, Germany
Prof. Dr. Matthias Schumann, Georg-August Universität Göttingen, Germany
Prof. Dr. Thorsten Staake, University of Bamberg, Germany
Prof. Dr. Alfred Taudes, Vienna University of Economics and Business, Austria
Jens Tiekenheinrich, Wi.-Ing. B.Sc./M.Sc., Avacon Salzgitter, Germany
Prof. Dr. Anke Weidlich, Offenburg University of Applied Sciences, Germany
Prof. Dr. Volker Wohlgemuth, Hochschule für Technik und Wirtschaft Berlin, Germany
Prof. Dr. Rüdiger Zarnekow, Technische Universität Berlin, Germany
 
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