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03: Decision Support

Track Description


Decision support is known to be crucial in many business contexts. Intelligent approaches will both gain momentum and become increasingly challenging through the availability of very large and heterogeneous data pools. Intelligent decision support furthermore requires understanding and modeling the value systems and behavior of decision makers in context. Transferring findings about decision-making processes into intelligent decision support systems that successfully impact both planning and operations is thus one of the major challenges in the IS discipline. The availability of big data allows a better understanding and modeling of decision support processes, but has also introduced a new challenge for IS researchers.According to a Meritalk Research survey of IT professionals, key advantages of successfully managing data and using them for business analytics include the improvement of overall efficiency, the improvement of speed and accuracy of decision making, the ability to forecast, identification of business opportunities and a greater understanding of citizens’ needs. Turning data into business value and society value will thus become one of the major challenges in the IS discipline. The close link between data and decisions to be made shall avoid the processing of irrelevant or redundant information and thus help avoid information overload while ensuring that all relevant information is processed.The networked society enables sharing information that is essential for making decisions much faster and easier. The networked society has also originated very large and heterogeneous data pools that allow for more efficient decision modelling but require novel and innovative analysis methods. Decision support is thus most likely to experience a renaissance through the networked society so that our topic is likely to attract a high number of submissions due to its prominent and future-oriented nature within the theme of the conference.

This track welcomes contributions on new and innovative methodologies, techniques, theories, and systems that allow for exploiting data to support business analytics and decision support. In more detail, we encourage authors to submit papers that address any step in the process of (i) analyzing decision behavior, (ii) modeling single-objective decisions, (iii) modeling multi-objective decisions (iv) developing and using decision support methodologies and systems and (v) evaluating decision support methodologies and systems. All methodological approaches (e.g. empirical, theoretical, analytical and design-oriented) are welcome.

Types of Contributions

Possible topics of the track include, but are not limited to

  1. Analyzing decision behavior
    • Behavioral aspects of decision-making
    • Decision-making in online environments
    • Methods for analyzing big data
    • Data and text mining in decision support contexts
  2. Modeling single-objective decisions
    • Decision analysis, including optimization models and methodologies
    • Uncertainty and risk management in decision support
    • Iterative, sequential and interdependent decisions
    • Machine learning in decision support contexts
  3. Modeling multi-objective decisions
    • Theoretical foundations of multi-objective optimization
    • Exact, Randomized, Evolutionary and Bio-inspired techniques
    • Parallel models and implementations of multi-objective optimization
    • Constraint handling techniques
    • Incorporation of preferences
  4. Developing and using decision support methodologies and systems
    • DSS for purchasing decisions
    • DSS for financial decisions
    • DSS for information technology decisions
    • DSS for education decisions
  5. Evaluating decision support methodologies and systems
    • Evaluation of decision support systems
    • Economic impact of decision support systems

Track Chairs

Michael Scholz <primary contact>

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Michael Scholz <primary contact>

Michael Scholz is assistant professor at the University of Passau. He studied Information Systems at the Martin-Luther-University of Halle/Wittenberg and received a doctorate in Information Systems from the University of Passau. His research focuses on designing e-commerce applications such as recommender systems and product configuration systems and investigating the economic impact of these applications. He is author of several papers and served as reviewer for journals such as Computer Networks, Business & Information Systems Engineering, Electronic Markets and Journal of Electronic Commerce Research. Michael Scholz frequently serves as reviewer for several international conferences such as the International Conference on Information Systems (ICIS), the European Conference on Information Systems (ECIS), the Bled eConference and the Academy of Management Meeting. He is associate editor of the track “Decision Support and Big Data” at ECIS 2014 and is also organizing workshops and served as executive committee member for the European Conference on Knowledge Management (ECKM) 2011.

Tina Comes

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Tina Comes

Tina Comes is Associate Professor at the Department of ICT, University of Agder, Norway, and Deputy Director of the Centre for Integrated Emergency Management. She studied Mathematics, literature and philosophy. After receiving her Ph.D. on distributed scenario-based multi-criteria decision support from the Karlsruhe Institute of Technology (KIT), she was head of a research group on Risk Management (2011-2013). She was heading the group on socio-economic impact assessment of the Centre for Disaster Management and Risk Reduction Technology (CEDIM) and head of the Risk Management Team at the KSRI Supply Chain Lab, to which she is still affiliated. Together with Dr. Bartel Van de Walle (Tilburg University, The Netherlands), she co-founded the Disaster Resilience Lab in 2013.Tina’s research aims at supporting decision-making and risk management in complex and dynamic situations. She focuses on the development of collaborative and distributed decision support tools.  Tina’s main research areas include modeling of supply chains and logistics networks, critical infrastructures and the impact of their disruption, crisis management, and multi-criteria decision analysis. To cover this domain, she combines her formal and analytic background in mathematics with programming skills, knowledge in economics, decision theory and cognition. Tina is author of various papers that are published in international journals and conferences. She has organized tracks at different international conferences such as HICSS or AMCIS, was Programme Chair of the ISCRAM2013 Conference, Conference Chair of ISCRAM2015 and is Chair of the ISCRAM Events Committee.

Guido Schryen

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Guido Schryen

Trained in computer science, information systems and operations research at RWTH Aachen University (Germany), Guido Schryen works in the field of decision support systems. After research visits to Stanford University and Queensland University of Technology (Brisbane, Australia), he received a doctorate in information systems from the RWTH Aachen University and earned a post-doctorate degree (habilitation/venia legendi) at the RWTH Aachen University. From May 2007 to March 2011, he held a position as Assistant Professor at the Institute of Business Information Systems, RWTH Aachen University. From September 2008 to August 2009, he joined the International Computer Science Institute (ICSI) at Berkeley (USA). From October 2009 to Juli 2010 and from October 2010 to March 2011 he was temporary professor of Information Systems Research at the University of Freiburg and at the University of Kiel (Germany), respectively. Since April 2011, Guido Schryen is professor of Information Systems Research at the University of Regensburg (Germany). From September 2013 to November 2013, he was senior visiting fellow at UNSW, Sydney. Guido Schryen is reviewer of many journals, including Journal of Information Technology (JIT), European Journal of Information Systems (EJIS), European Journal of Operational Research (EJOR), Journal of the Association for Information Systems (JAIS), Wirtschaftsinformatik / Business & Information Systems Engineering, and     IEEE Computer. He is also chair and associate editor of several minitracks and tracks at Annual Hawaii International Conference on System Sciences (HICSS), European Conference on Information Systems (ECIS), and International Conference on Wirtschaftsinformatik (WI).

Heike Trautmann

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Heike Trautmann

Heike Trautmann is Professor of Information Systems and Statistics at the University of Münster. She graduated in Statistics and, after working in a consulting company for two years, she joined the Graduate School of Production Engineering and Logistics at TU Dortmund University and received her PhD in 2004. After her habilitation in 2014 she became a Professor for Statistics within the Department of Information Systems at the University of Muenster.
Her current research activities are focused on multiobjective (evolutionary) optimisation - in particular preference incorporation, performance assessment, process chains and stopping criteria - as well as algorithm selection and benchmarking concepts. She was involved in organizing the special session "Designing Evolutionary Processes" at the Congress on Evolutionary Computation (CEC) in 2010, the "Joint Workshop on Automated Selection and Tuning of Algorithms" at Parallel Problem Solving from Nature (PPSN) in 2012 as well as the track "Multiobjective Optimization" at the Evolve Conferences in 2012 and 2014. Furthermore, she organized the 1st Workshop on COnfiguration and SElection of ALgorithms (COSEAL) in Münster in 2014. Currently, she has active collaborations with researchers in Brazil, Australia, Canada and Mexico.

Stefan Voß

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Stefan Voß

Stefan Voß is professor and director of the Institute of Information Systems at the University of Hamburg. Previous positions include full professor and head of the department of Business Administration, Information Systems and Information Management at the University of Technology Braunschweig (Germany) from 1995 up to 2002. He holds degrees in Mathematics (diploma) and Economics from the University of Hamburg and a Ph.D. and the habilitation from the University of Technology Darmstadt. His current research interests are in quantitative / information systems approaches to supply chain management and logistics including public mass transit and telecommunications. He is author and co-author of several books and numerous papers in various journals. Stefan Voß serves on the editorial board of some journals including being Editor of Netnomics and Editor of Public Transport. He is frequently organizing workshops and conferences. Furthermore, he is consulting with several companies. Stefan Voß is frequently organizing workshops and conferences. He was and is chair and co-chair of various conferences including ICCL (International Conference on Computational Logistics, 2010-2013 and beyond), INOC (International Network Optimization Conference, 2011), LM (Logistics Management, 2003, 2009), Matheuristics (2008, 2010, 2014), VEAM (Virtual Environments for Advanced Modeling, 2006). He is also organizing tracks and minitracks at various conferences including minitracks on e-logistics and telecommunications techno-economics at HICSS (Hawaii International Conference on System Sciences).

Associate Editors

  • Jörn Altmann, Seoul National University
  • Periklis Andritsos, University of Toronto
  • Christer Carlsson, Institute of Advanced Management Systems Research and Abo Akademi University
  • Verena Dorner, University of Passau
  • Benjamin Fabian, HU Berlin
  • Andreas Fink, Helmut-Schmidt-University
  • Christian Grimme, University of Münster
  • Jens Grossklags, The Pennsylvania State University
  • Adnene Guabtni, National Information Communications Technology Research Center
  • Nathalie Kliewer, FU Berlin
  • Wai Lam, The Chinese University of Hong Kong
  • Dirk Mattfeld, TU Braunschweig
  • Lars Mönch, Fernuniversität Hagen
  • Dirk Neumann, University of Freiburg
  • Jella Pfeiffer, University of Mainz
  • Fethi Rabhi, The University of New South Wales
  • Chandrasekharan Rajendran, IIT Madras
  • Manjeet Rege, University of St. Thomas
  • Günter Rudolph, TU Dortmund
  • Vicente Salas Fumás, Universidad de Zaragoza
  • Martin Schmettow, University of Twente
  • Rudolf Vetschera, University of Vienna

Additional Information

Excellent papers within the track which make a good connection to the conference theme "The Networked Society" will be short-tracked to a special issue of Netnomics. All other papers may be considered for a special issue of the Annals of Information Systems.

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