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Intelligent Enterprise Systems

Contemporary enterprises have to constantly expand their operational limits and capabilities to earn profit, thrive and prosper. Building on advanced information and communication technologies today's enterprise systems become increasingly intelligent. Clearly, intelligence benefits in all its current facets – incorporating so-called advanced analytical technologies – have facilitated to generate significant interest within the scientific and business community. However, contemporary enterprise systems process data faster than human beings and organizations can make sense of it. Surveys estimate that, compared to the year of 2009, data production will be 44 times greater in 2020 and there will be a 650% increase in enterprise data in the next five years (CSC, 2012). Further, many machines and other devices will receive an IP address in the (near) future and connect to the web in the 'internet of things' offering even more accessible data. Certainly, this ubiquitous computerization of business and society has tremendously progressed our ability to gather, transmit and transform data creating unprecedented access to data. However, human cognitive ability to interpret this avalanche of data, that is, to extract meaning from data, has evolved much more slowly (if at all). Thus, the consumption of information is restricted by the cognitive resources of human decision makers, particularly as they reside in real-time environments where speed is fundamental. As a consequence, organizations need a clear understanding of how organizational capabilities should look like in order to create greater business value from these systems. Hence, this reversal demands that we pursue our efforts towards becoming more effective consumers, rather than producers of information. To achieve this, we need to comprehend how to enhance our ability to consume information in complex, real-time technological environments. Hence, we are investigating next-generation enterprise systems enabling intelligent and real-time business process execution.  A key challenge in this area is designing the human-machine communication in a sense that humans can effectively use the capabilities provided by advanced enterprise systems.

Head of Area

Mario Nadj Dr. Mario Nadj
Phone: +49 721 608-41584


Michael Knierrim Michael Knierim
+49 (721) 608-41583
Raphael Rissler Raphael Rissler
+49 721 608-41583
  Dr. Norbert Koppenhagen Dr. Norbert Koppenhagen
+49 721 608-41587


  • Business Intelligence & Analytics
  • Real-Time Decision Support Systems
  • Self-Service Business Intelligence
  • Flow Research in Intelligent Enterprise Systems
  • Flow Computing
  • Process Visibility / Process Analytics
  • Group Flow


  • Behavioral experiments in the lab, the field, and online
  • Machine Learning
  • Design Science Research
  • Surveys
  • SLR / Meta Analysis
  • Electrophysiology (ECG - Heart Rate, EEG - Brain Activity)


  • Smart Process Applications
  • Future of Work
  • Self-Service Business Intelligence
  • Process Analytics
  • Tax Analytics

Prototypes Neuro-Information Systems

(Wearable)Physiological sensing to detect flow using threshold levels and machine-learning based classification to:

  • Reduce detrimental IT-system user interruptions
  • Support self-regulation through (bio/neuro-)feedback



Cooperation Partners



Selected Publication of the Research Group

Got Flow? Using Machine Learning on Physiological Data to Classify Flow.
Rissler, R.; Nadj, M.; Li, M. X.; Knierim, M. T.; Maedche, A.
2018. Proceedings of the Conference on Human Factors in Computing Systems (CHI), Montréal, Canada, 21st - 26th April 2018, Art.Nr. LBW612, ACM, New York (NJ). doi:10.1145/3170427.3188480
Flow-Erfassung am Arbeitsplatz: Aktueller Stand der Forschung und innovative Anwendungsszenarien.
Rissler, R.; Nadj, M.; Maedche, A.; Koppenhagen, N.
2017. Wirtschaftsinformatik & Management, 9 (6), 12-21. doi:10.1007/s35764-017-0116-0
The psychophysiology of flow: A systematic review of peripheral nervous system features.
Knierim, M. T.; Rissler, R.; Dorner, V.; Maedche, A.; Weinhardt, C.
2017. Information Systems and Neuroscience - Gmunden Retreat on NeuroIS 2017. Ed.: F. D. Davis, 109-120, Springer, Cham. doi:10.1007/978-3-319-67431-5_13
The impact of IT-mediated interruptions on flow and task performance.
Rissler, R.
2017. Doctoral Consortium Proceedings of the 25th European Conference on Information Systems (ECIS), Guimarães, Portugal, 5-10 June 2017
Towards an integrative theoretical framework of IT-mediated interruptions.
Rissler, R.; Nadj, M.; Adam, M.; Mädche, A.
2017. Proceedings of the 25th European Conference on Information Systems (ECIS), Guimarães, Portugal, 5-10 June 2017, 1950-1967, AIS Electronic Library (AISeL), Atlanta
Towards a Taxonomy of Real-Time Business Intelligence Systems.
Nadj, M.; Schieder, C.
2017. 25th European Conference on Information Systems (ECIS 2017), Guimarães, P, June 5-10, 2017. Proceedings, Tap Portugal, Lissabon
Flow in Information Systems Research: Review, Integrative Theoretical Framework, and Future Directions.
Rissler, R.; Nadj, M.; Adam, M. T. P.
2017. 13th International Conference on Wirtschaftsinformatik, Wirtschaftsinformatik 2017 (WI-2017), St. Gallen, 12-15 February 2017, 1051-1065
Process Intelligence for the Digital Age – Process Visibility Meets Process Mining.
Volmering, T.; Nadj, M.; Trump, R.; Maedche, A.
2016. Proceedings of the 14th International Conference, BPM 2016, Rio de Janeiro, Brazil, September 18-22, 2016, 1-13, Springer, Cham
A Situation Awareness Driven Design for Predictive Maintenance Systems: The Case of Oil and Gas Pipeline Operations.
Nadj, M.; Jegadeesan, H.; Maedche, A.; Hoffmann, D.; Erdmann, P.
2016. Proceedings of the 24th European Conference on Information Systems, Istanbul, Turkey, June 12-15, 2016, 1-10
Quo Vadis Real-Time Business Intelligence? A Descriptive Literature Review and Future Directions.
Nadj, M.; Schieder, C.
2016. Proceedings of the 24th European Conference on Information Systems, Istanbul, Turkey, June 12-15, 2016, 1-21
Real-Time Business Intelligence: Eine systematische Identifikation aktueller Forschungsbedarfe.
Blaser, F.; Nadj, M.; Schieder, C.
2016. Multikonferenz Wirtschaftsinformatik (MKWI) 2016: Research-in-Progress- und Poster-Beiträge, Technische Universität Ilmenau, 09.-11. März 2016. Hrsg.: V. Nissen, 1367-1378, Universitätsverlag Ilmenau, Ilmenau
Designing a supply network artifact for data, process, and people integration.
Koppenhagen, N.; Müller, B.; Mädche, A.; Li, Y.; Hiller, S.
2016. Information systems and e-business management, 14 (3), 613-636. doi:10.1007/s10257-015-0296-1
The Smart Mobile Application Framework (SMAF) - Exploratory Evaluation in the Smart City Contex.
Nadj, M.; Haeußler, F.; Wenzel, S.; Maedche, A.
2016. Multikonferenz Wirtschaftsinformatik (MKWI) 2016, Technische Universität Ilmenau, 09.-11. März 2016, Band 3. Hrsg.: V. Nissen, 1367-1378, Universitätsverlag Ilmenau, Ilmenau
The Effect of Recommender Systems on Users’ Situation Awareness and Actions.
Kretzer, M.; Nadj, M.; Mädche, A.
2015. ICIS 2015 Proceedings : 36th International Conference on Information Systems: Exploring the Information Frontier, Fort Worth, United States, December 13-16, 2015, 1-12, Association for Information Systems, Atlanta (GA)
Towards a Situation-Awareness-Driven Design of Operational Business Intelligence & Analytics Systems.
Nadj, M.; Morana, S.; Mädche, A.
2015. At the Vanguard of Design Science: First Impressions and Early Findings from Ongoing Research. 10th International Conference on Design Science Research in Information Systems and Technology (DESRIST), Dublin, Ireland, 20-22 May 2015. Ed.: B. Donnellan, 33-40, University College, Cork
Design Principles for Supply Network Systems. Dissertation.
Koppenhagen, N.
2013. Universitätsbibliothek Mannheim, Mannheim
Design Science Research in Action - Anatomy of Success Critical Activities for Rigor and Relevance.
Koppenhagen, N.; Gaß, O.; Müller, B.
2012. 20th European Conference on Information Systems (ECIS 2012), Barcelona, Spain, June 10-13, 2012
How Do Procurement Networks Become Social? Design Principles Evaluation in a Heterogeneous Environment of Structured and Unstructured Interactions.
Koppenhagen, N.; Katz, N.; Mädche, A.; Müller, B.
2012. International Conference on Information Systems (ICIS), Shanghai, China, 4-7 December 2011. Vol. 5, 3635-3653, Curran, Red Hook (NY)
Anatomy of knowledge bases used in design science research : A literature review.
Gaß, O.; Koppenhagen, N.; Biegel, H.; Maedche, A.; Müller, B.
2012. Design Science Research in Information Systems. Advances in Theory and Practice : 7th International Conference (DESRIST), Las Vegas, USA, May 14-15, 2012. Ed.: K. Peffers, 328-344, Springer, Berlin. doi:10.1007/978-3-642-29863-9_24
Towards Collaborative Procurement Network Enterprise Systems - A Design Science Research Project.
Koppenhagen, N.; Mädche, A.
2010. Pre-ICIS, Workshop on Enterprise Systems, Saint Louis, USA, 11.12.2010
Das Schließen des Kreislaufs im Einkauf mit mySAP SRM.
Koppenhagen, N.; Thome-Fix, V.
2007. Elektronische Beschaffung : Stand und Entwicklungstendenzen. Hrsg.: W. Brenner, 161-189, Springer, Berlin. doi:10.1007/978-3-540-34018-8_8