Predictive Maintenance on the Energy Distribution Grid—Design and Evaluation of a Digital Industrial Platform in the Context of a Smart Service System
P. zur Heiden, J. Priefer, D. Beverungen, IEEE Transactions on Engineering Management 71 (2024) 3641–3655.

Location-Based Service and Location-Contextualizing Service: Conceptualizing the Co-creation of Value with Location Information
P. zur Heiden, J. Priefer, D. Beverungen, in: Proceedings of the 56th Conference on System Sciences, Maui, Hawaii, 2023.

Geographic Information Systems in Information Systems Research - Review and Research Prospects
J. Priefer, in: T.X. Bui, R.H. Sprague (Eds.), Proceedings of the 56th Hawaii International Conference on System Sciences, 2023.

City 5.0: Citizen involvement in the design of future cities
J. Becker, F. Chasin, M. Rosemann, D. Beverungen, J. Priefer, J. vom Brocke, M. Matzner, A. del Rio Ortega, M. Resinas, F. Santoro, M. Song, K. Park, C. Di Ciccio, Electronic Markets 33 (2023).

Utilizing Geographic Information Systems for Condition-Based Maintenance on the Energy Distribution Grid
P. zur Heiden, J. Priefer, D. Beverungen, in: T.X. Bui (Ed.), Proceedings of the 55th Hawaii International Conference on System Sciences, Honolulu, HI, 2022.

Designing a GIS-AHP-Based Spatial Decision Support System for Discovering and Visualizing Suitable Locations for Electric Vehicle Charging Stations
J. Priefer, L. Steiger, in: Wirtschaftsinformatik 2022 Proceedings, 2022.

Smart Service für die prädiktive Instandhaltung zentraler Komponenten des Mittelspannungs-Netzes
P. zur Heiden, J. Priefer, D. Beverungen, in: M. Bruhn, K. Hadwich (Eds.), Forum Dienstleistungsmanagement, Springer Fachmedien Wiesbaden, Wiesbaden, 2022, pp. 435–457.

Transitioning to Condition-Based Maintenance on the Distribution Grid: Deriving Design Principles from a Qualitative Study
P. zur Heiden, J. Priefer, in: M.H. Breitner, S. Lehnhoff, A. Nieße, P. Staudt, C. Weinhardt, O. Werth (Eds.), Pre-Conference 16th International Congress on Wirtschaftsinformatik at Universität Duisburg-Essen, BIS-Verlag der Carl von Ossietzky Universität Oldenburg, Oldenburg, 2021.

Quantifying the Impact of Location Data for Real Estate Appraisal – A GIS-based Deep Learning Approach
J.-P. Kucklick, J. Müller, D. Beverungen, O. Müller, in: European Conference on Information Systems, 2021.