Information Systems and Business Analytics
Information Systems and Business Analytics
Information Systems and Business Analytics 

Prof. Dr. Konstantin Hopf

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Portrait: Prof. Dr. Konstantin Hopf
Prof. Dr. Konstantin Hopf

Summary

Prof. Dr. Konstantin Hopf holds the Chair of Information Systems and Business Analytics at Chemnitz University of Technology. Prior to this appointment, he established the research group Machine Learning & Data Work in Organizations at the University of Bamberg. His research focuses on explainable machine learning and data-driven decision support, for example in the areas of power grid operations and higher education. The results of his work are regularly published in leading information systems journals (e.g., Journal of Information Technology, Journal of Strategic Information Systems) and presented at international academic conferences. His research has received several awards from both academia and industry.

Konstantin Hopf is an active member of the Information Systems community. He serves as a Track Chair and Associate Editor for leading conferences in the field (WI, ECIS, ICIS), is member of the editorial board of The Journal of Strategic Information Systems. In addition, he holds service roles in the academic community, including serving as auditor of Die WI e.V. and designated treasurer of the newly established AIS SIG Data.

Awards and Honors (Selection)

  • 06/2025: Recognition as AIS Distinguished Member of the Association for Information Systems
  • 03/2025: Nomination for the Heinz-Meier-Leibnitz-Preis of DFG
  • 10/2024: Urwick Memorial Cup of the Worshipful Company of Management Consultants for the Article "Organizational Implementation of AI: Craft and Mechanical Work" together with A. Shollo, T. Thiess and O. Müller
  • 10/2024: CMCE Research Award in the Category "Technology and consulting" for the Article "Organizational Implementation of AI: Craft and Mechanical Work" together with A. Shollo, T. Thiess and O. Müller
  • 09/2024: Best Paper Award of the 19. International Conference on Wirtschaftsinformatik for the Paper "Bridging Fields of Practice: How Boundary Objects Enable Collaboration in Data Science Initiatives" together with N. Rahlmeier
  • 12/2023: AIS Senior Scholars' Best Information Systems Publications Award for the Article "Shifting ML Value Creation Mechanisms: A process model of ML value creation" together with A. Shollo, T. Thiess and O. Müller
  • 09/2023: Best Paper Award of the 18. International Conference on Wirtschaftsinformatik for the Paper "Addressing Learners’ Heterogeneity in Higher Education: An Explainable AI-based Feedback Artifact for Digital Learning Environments" together with F. Haag, M. Klose, P. Handschuh, S. Günther and T. Staake
  • 06/2023: Best Associate Editor, 31. European Conference on Information Systems (ECIS), Kristiansand, June 11 - 16, 2023
  • 03/2023: Journal of Strategic Information Systems 2022 Best Paper Award for the Article "Shifting ML Value Creation Mechanisms: A process model of ML value creation" together with A. Shollo, T. Thiess and O. Müller
  • 12/2019: AIS 2018 SIGGREEN Best Journal Paper on Green IS for the Article "Enhancing Energy Efficiency in the Residential Sector with Smart Meter Data Analytics" in Electronic Markets 28(4) together with T. Staake and M. Sodenkamp

Ausgewählte wissenschaftliche Beiträge

Zeitschriftenbeiträge (peer-reviewed)

Haag, F., Hopf, K., Staake, T. (2025). Validating Explainer Methods: A Functionally Grounded Approach for Numerical Forecasting, Journal of Forecasting, DOI: 10.1002/for.70060

Hopf, K., Nahr, N., Staake, T., Lehner, F. (2025). The group mind of hybrid teams with humans and intelligent agents in knowledge-intense work. Journal of Information Technology 40(1), DOI: 10.1177/02683962241296883.

Potthoff, U., Brudermueller, T., Hopf, K., & Wortmann, F. (2025). Optimization of heating curves for heat pumps in operation: Outdoor temperature ranges for energy-efficient heating curve shifts. Applied Energy, 389(125725), 1–21. DOI: 10.1016/j.apenergy.2025.125725

Hopf, K., Müller, O., Thiess, T., Shollo, A. (2023). Organizational implementation of AI: Craft and mechanical work. California Management Review 66(1), DOI: 10.1177/00081256231197445, ausgezeichnet mit dem CMCE Research Award und dem Urwick Prize im Oktober 2024

Shollo, A., Hopf, K., Thiess, T., Müller, O. (2022). Shifting ML Value Creation Mechanisms: A process model of ML value creation. The Journal of Strategic Information Systems, 31(3), 101734. DOI: 10.1016/j.jsis.2022.101734; ausgezeichnet mit dem JSIS 2022 Best paper award im März 2023 und AIS Senior's Scholars Best Journal on IS im Dezember 2024.

Weigert, A., Hopf, K., Günther, S. A., & Staake, T. (2022). Heat pump inspections result in large energy savings when a pre-selection of households is performed: A promising use case of smart meter data. Energy Policy, 169, 113156. DOI: 10.1016/j.enpol.2022.113156

Hopf, K., Weigert, A., Staake, T. (2023). Value creation from analytics with limited data: a case study on the retailing of durable consumer goods. Journal of Decision Systems, DOI: 10.1080/12460125.2022.2059172

Hopf, K., Sodenkamp, M., Staake, T. (2018). Smart Meter Data Analytics for Enhanced Energy Efficiency in the Residential Sector. Electronic Markets, 28(4) DOI: 10.1007/s12525-018-0290-9; ausgezeichnet mit dem AIS SIGGREEN 2018 Best Journal Paper on Green IS award im Dezember 2018

Beiträge in Konferenzbänden (peer-reviewed)

Rahlmeier, N., Hopf, K. (2024). Bridging Fields of Practice: How Boundary Objects Enable Collaboration in Data Science Initiatives.19. Internationale Tagung Wirtschaftsinformatik, September 17 - 19, Würzburg. WI'24 Best Paper Award.

Hopf, K., Joshi, M., Stelmaszak, M., & Shollo, A. (2024). Crafting Ever-Changing Data Products: Towards a Human-Centered Process Model of Data Work. ECIS 2024 Proceedings. 32. European Conference on Information Systems, Paphos: Zypern.

Haag, F., Stingl, C., Zerfass, K., Hopf, K., Staake, T. (2023). Overcoming Anchoring Bias: The Potential of AI and XAI-based Decision Support, 44. International Conference on Information Systems 10. - 13. Dezember, Hyderabad: Indien

Haag, F., Günther, S. A., Hopf, K., Handschuh, P. Klose, M., Staake, T. (2023). Addressing Learners' Heterogeneity in Higher Education: An Explainable AI-based Feedback Artifact for Digital Learning Environments. 18. Internationale Tagung Wirtschaftsinformatik 18. - 21. September, Paderborn; WI'23 Best Paper Award.

Hopf, K., Hartstang, H., Staake, T. (2023). Meta-Regression Analysis of Errors in Short-Term Electricity Load Forecasting. Vorgestellt auf dem 4. International Workshop on Energy Data and Analytics im Rahmen der 14. ACM e-Energy Konferenz, 20. Juni, Orlando:Florida (USA). DOI: 10.1145/3575813.3597345 [Preprint]

Giacomazzi, E., Haag, F., Hopf, K. (2023). Short-term Electricity Load Forecasting Using the Temporal Fusion Transformer: Effect of Grid Hierarchies and Data Sources. Vorgestellt auf der 14. ACM e-Energy Konferenz, 20. Juni, Orlando:Florida (USA). DOI: 10.1145/3599733.3600248 [Preprint]

Haag, F., Hopf, K., Menelau Vasconcelos, P., Staake, T. (2022). Augmented Cross-Selling Through Explainable AI – A Case From Energy Retailing. 30. European Conference on Information Systems (ECIS'22), Timișoara: Romania [Full-text] [Preprint]

Wastensteiner, J., Weiss, T. M., Haag, F., Hopf, K. (2021).  Explainable AI for Tailored Electricity Consumption Feedback – An Experimental Evaluation of Visualizations, 29. European Conference on Information Systems (ECIS'21), Marrakesh: Morocco / Virtual, 14. – 12. Juni, [Full-text] [Preprint]

Weigert, A., Hopf, K., Weinig, N., Staake, T. (2020) Detection of heat pumps from smart meter and open data, 9. DACH+ Conference on Energy Informatics, Sierre, Schweiz,  29. – 30. Oktober, In: Energy Informatics, 3(Suppl 1):21, DOI: 10.1186/s42162-020-00124-6

Hopf, K., Riechel, S., Sodenkamp, M., Staake, T. (2017). Predictive Customer Data Analytics – The Value of Public Statistical Data and the Geographic Model Transferability.38. International Conference on Information Systems (ICIS'17), Seoul: Südkorea, 10. – 13. Dezember

Software-Bibliotheken

Hopf, K., Weigert, A., Kozlovskiy, I., Staake, T. (2020). SmartMeterAnalytics: Methods for Smart Meter Data Analysis, Bibliothek für die Statistikumgebung GNU R, https://cran.r-project.org/package=SmartMeterAnalytics

Hopf, K., Weigert, A., Weinig, N., Staake, T., (2020). ResidentialEnergyConsumption: Residential Energy Consumption Data, Bibliothek für die Statistikumgebung GNU R, https://cran.r-project.org/package=ResidentialEnergyConsumption

Vorträge und Workshops

  • From Data to Sustainability: How Machine Learning Can Optimize the Residential Energy Sector, Sino-German Frontiers of Science Symposium (SINOGFOS) Symposium der Alexander von Humboldt Stiftung, Mannheim, April 10-13, 2025
  • Panellist for the topic "Transformation Skills: Arbeit im 21. Jahrhundert“ at Bildungskonferenz 2025 of Bitkom e.V., Online, 03.04.2025
  • Crafting AI: Spannung zwischen dem Handwerk von Data Scientists und Management, Talk at the KI Navigator Conference 2024, Nürnberg, 20.11.2024
  • Panellist for the topic “Zukunft im Dialog: Nimmt Künstliche Intelligenz uns die Jobs weg?” at the Nürnberg Digital Festivals, 02.07.2024
  • KI-Evolution statt Revolution – Ein Prozessmodell für die betriebliche Wertschöpfung durch Machine-Learning-Anwendungen, Talk at Deutschen Telekom AG, Online, 08. und 15.05.2024
  • Value Creation with Machine Learning, Talk at QualityMinds GmbH, Online, 10.04.2024
  • Wegweiser für eine nachhaltige KI-Strategie: Ein Prozessmodell für Wertschöpfung durch KI in Unternehmen, Talk at the KI Navigator Conference 2023, Nürnberg, 22.11.2023
  • Artificial intelligence (AI) strategy in practice: A process model for machine learning value creation in organizations, SAP Inspiration Sessions, Online, 15.11.2023
  • Smart Meter Analytics: Machine Learning mit Stromverbrauchsdaten für eine bessere Energienutzung im Privatsektor, Smart City Talk Stadt Osnabrück, Online, 01.12.2022