The increasing availability of data and advances in data processing and analysis methods have led to a flourishing of data science. This not only constitutes new research efforts in business informatics (e.g. artificial intelligence, processing of unstructured data, visualization), but also has a significant impact on established topics in business informatics such as business intelligence and decision support systems.
In this track, we welcome the entire diversity of business informatics research efforts in the fields of data science and business analytics. Possible research topics involve, for example: The generation, collection and representation of (big) data, the development of innovative theories, methods and procedures from the fields of data science and business analytics to solve business and social problems, the development of specific applications of descriptive, predictive and prescriptive analytics, and the adoption and integration of these approaches in companies. In addition, the track invites contributions from the fields of Business Intelligence and Decision Support Systems. Research on the development of new statistical and machine learning methods is welcome, as long as a clear relation to the solution of a business or societal problem is shown. We encourage the submission of relevant and original contributions to Data Science and Business Analytics, making full use of the methodological breadth of the research area.
University of St.Gallen
Ivo Blohm is Assistant Professor for Data Science and Management at the Institute for Wirtschaftsinformatik at the University of St.Gallen. Ivo studied technology and management-oriented business administration with a minor in electrical engineering at the Technical University of Munich, where he also received his doctorate in business informatics. His research interests include business analytics, digital platforms, crowdsourcing and crowd work. His research has been published in numerous renowned journals such as Information Systems Research, Journal of Management Information Systems and California Management Review.
Technical University of Chemnitz
Barbara Dinter holds the professorship Wirtschaftsinformatik – Business Process and Information Systems at the Chemnitz University of Technology. She studied and received her doctorate in computer science at the Technical University of Munich. She completed her habilitation at the University of St.Gallen. Within the scope of many years of consulting activities, she worked with numerous companies. Her current research interests include business analytics, business intelligence, data management, data-driven innovation and industry 4.0. She has served as a track chair on ECIS, HICSS, AMCIS and WI and has published in renowned journals such as Decision Support Systems, Journal of Database Management and Journal of Decision Systems as well as at conferences such as ICIS, ECIS and WI.
Freie Universität Berlin
Natalia Kliewer is Professor of Wirtschaftsinformatik at the Freie Universität Berlin. Her research interests include the design of decision support systems in transport and logistics as well as network models and algorithms for applications in the aviation industry, public transport and revenue management. Natalia is Department Editor for Decision Analytics & Data Science at Business & Information Systems Engineering and Associate Editor at Public Transport Journal and INFORMS Transportation Science.
• Paul Alpar, University of Marburg
• Rainer Alt, University of Leipzig
• Bastian Amberg, Freie Universität Berlin
• Henning Baars, University of Stuttgart
• Tobias Brandt, Erasmus University of Rotterdam
• Jan Fabian Ehmke, University of Vienna
• Andreas Fink, Helmut Schmidt University of Hamburg
• Christoph Flath, University of Würzburg
• Burkhard Funk, University of Lüneburg
• Kai Heinrich, Technical University of Dresden
• Sarah Hönigsberg, Technical University of Chemnitz
• Christian Janiesch, University of Würzburg
• Ralf Knackstedt, University of Hildesheim
• Heiner Lasi, Ferdinand-Steinbeis-Institut der Steinbeis-Stiftung
• Stefan Lessmann, Humbold University of Berlin
• Oliver Müller, University of Paderborn
• Boris Otto, Technical University of Dortmund and Fraunhofer-Institut für Software- und Systemtechnik
• Bodo Rieger, University of Osnabrück
• Roman Rietsche, University of St. Gallen
• Christian Schieder, Ostbayerische Technische Hochschule Amberg-Weiden
• Daniel Schnurr, University of Passau
• Guido Schryen, University of Paderborn
• Benjamin Spottke, University of St. Gallen
• Lena Wolbeck, Freie Universität Berlin
• Lin Xie, Leuphana University of Lüneburg