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.
LibreCat: /record/50649
DOI: 10.1109/tem.2024.3352819

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.
LibreCat: /record/35893

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.
LibreCat: /record/37497

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.
LibreCat: /record/29146

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.
LibreCat: /record/29805

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.
LibreCat: /record/32363
DOI: 10.1007/978-3-658-37344-3_14

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.
LibreCat: /record/24534

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.
LibreCat: /record/22514