Meine Forschungsschwerpunkte sind:

• Digitale Plattformen
• Smart Grid
• Standortbasierte Analyse
• Kontext in Design Science 

Bartelheimer, C.; zur Heiden, P.; Lüttenberg, H. et al. Systematizing the Lexicon of Platforms in Information Systems: A Data-driven Study (2022). In: Electronic Markets, (online first), doi.org/10.1007/s12525-022-00530-6.

Hoffmann, M.W.; Wildermuth, S.; Gitzel, R.; Boyaci, A.; Gebhardt, J.; Kaul, H.; Amihai, I.; Forg, B.; Suriyah, M.; Leibfried, T.; Stich, V.; Hicking, J.; Bremer, M.; Kaminski, L.; Beverungen, D.; zur Heiden, P.; Tornede, T. (2020): Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions. In: Sensors, 20(7), 2099, doi.org/10.3390/s20072099.

zur Heiden, P.; Priefer, J.; Beverungen, D. (2023): Location-Based Service and Location-Contextualizing Service: Conceptualizing the Co-creation of Value with Location Information. In: Proceedings of the 56th Conference on System Sciences, Maui, HI, 2022. https://hdl.handle.net/10125/103254

zur Heiden, P.; Beverungen, D. (2022): A Renaissance of Context in Design Science Research. In: Proceedings of the 55th Hawaii International Conference on System Sciences, Honolulu, HI, 2022. http://hdl.handle.net/10125/80042

Herwix, A.; zur Heiden, P. (2022): Context in Design Science Research: Taxonomy and Framework. In: Proceedings of the 55th Hawaii International Conference on System Sciences, Honolulu, HI, 2022. http://hdl.handle.net/10125/80045

zur Heiden, P.; Priefer, J.; Beverungen, D. (2022): Utilizing Geographic Information Systems for Condition-Based Maintenance on the Energy Distribution Grid. In: Proceedings of the 55th Hawaii International Conference on System Sciences, Honolulu, HI, 2022. http://hdl.handle.net/10125/80031

zur Heiden, P.; Priefer, J. (2021): Transitioning to Condition-Based Maintenance on the Distribution Grid: Deriving Design Principles from a Qualitative Study. In: Proceedings of the 16th International Congress on Wirtschaftsinformatik, Pre-Conference Workshop on Energy Informatics and Electro Mobility ICT. Edt.: Breitner, M.H.; Lehnhoff, S.; Nieße, A.; Staudt, P.; Weinhardt, C.; Werth, O.. BIS-Verlag der Carl von Ossietzky Universität Oldenburg. http://oops.uni-oldenburg.de/5084/

zur Heiden, P.; Winter, D. (2021): Discovering Geographical Patterns of Retailers' Locations for Successful Retail in City Centers. In: Proceedings of the 16th International Conference on Wirtschaftsinformatik. Duisburg. aisel.aisnet.org/wi2021/UDigitalRetail/Track06/1/

zur Heiden, P.; Berendes, C.I.; Beverungen, D. (2020): Designing City Center Area Recommendation Systems. In: Proceedings of the 15th International Conference on Wirtschaftsinformatik. Potsdam. doi:doi.org/10.30844/wi_2020_e1-heiden

Berendes, C.I.; zur Heiden, P.; Niemann, M.; Hoffmeister, B.; Becker, J. (2020): Usage of Local Online Platforms in Retail: Insights from retailers' expectations. In: Proceedings of the Twenty-Eighth European Conference on Information Systems (ECIS2020) – A Virtual AIS Conference. https://aisel.aisnet.org/ecis2020_rip/46

zur Heiden, P. (2020): Considering Context in Design Science Research: A Systematic Literature Review. In: Hofmann S., Müller O., Rossi M. (eds) Designing for Digital Transformation. Co-Creating Services with Citizens and Industry. DESRIST 2020. Lecture Notes in Computer Science, vol 12388. Springer, Cham. doi.org/10.1007/978-3-030-64823-7_21

zur Heiden, P.; Priefer, J.; Beverungen, D.: Smart Service für die prädiktive Instandhaltung zentraler Komponenten des Mittelspannungs-Netzes (2022). In: Bruhn, M., Hadwich, K. (eds) Smart Services. Forum Dienstleistungsmanagement. Springer Gabler, Wiesbaden. https://doi.org/10.1007/978-3-658-37344-3_14

Schulz, M.; Neuhaus, U.; Kaufmann, J.; Kühnel, S.; Alekozai, E.M.; Rohde, H.; Hoseini, S.; Theuerkauf, R.; Badura, D.; Kerzel, U.; Lanquillon, C.; Daurer, S.; Günther, M.; Huber, L.; Thiée, L.-W.; zur Heiden, Philipp, Passlick, J.; Dieckmann, J.; Schwade, F.; Seyffarth, T.; Badewitz, W.; Rissler, R.; Sackmann, S.; Gölzer, P; Welter, F.; Röth, J.; Seidelmann, J.; Haneke, U.: DASC-PM v1.1 - Ein Vorgehensmodell für Data-Science-Projekte (2022). NORDAKADEMIE gAG Hochschule der Wirtschaft, Hamburg. https://dasc-pm.org