Chair of Information Management









HENRIK LECHTE






Research Fields and Interests



  • Smart Mobility

  • Machine Learning















Academic Experience






  • currently

    Doctoral student, Smart Mobility Research Group - Chair of Information Management, University of Goettingen, Germany



  • 09/2018 - 07/2020

    Master's Program in Business Informatics, University of Mannheim, Germany



  • 10/2015 - 09/2018

    Bachelor of Science in Business Information Systems focused on Software Engineering, Cooperative State University Mannheim (DHBW), Germany

















Practical Experience






  • Since 08/2020

    Research Associate, Smart Mobility Research Group - Chair of Information Management, University of Goettingen, Germany



  • 10/2018 – 07/2020

    Program for graduate students – Software development in the area of SAP S/4HANA Procurement, SAP SE, Walldorf, Germany



  • 09/2015 – 09/2018

    Dual study program in Business Information Systems focused on Software Engineering, SAP SE, Walldorf, Germany

















Im Optimalfall taucht hier das richtig verlinkte Bild auf.

Contact


Henrik Lechte

Chair of Information Management

Smart Mobility Research Group (SMRG)



Platz der Göttinger Sieben 5

8. Floor

37073 Göttingen





henrik.lechte@uni-goettingen.de


Consulting hours by appointment













Publications






  • 2023


      ▶ Menck, J.H.D.; Lechte, H.; Lembcke, T.-B.; Brendel, A.B.; Kolbe, L.M. (2023): Towards Design Principles for Experimental Simulations in Virtual Reality – Learning from Driving Simulators, Proceedings of the Hawaii International Conference on System Sciences (HICSS), Maui, USA. [VHB 3: C] (forthcoming)





  • 2022


      ▶ Loske, D.; Menck, J. H. D.; Lechte, H.; Lembcke, T.-B. Modica, T.; Klumpp, M. (2022): The Colors of Performance – Assessing the Impact of Color-Coding on Worker Behavior in Retail Order Picking, Proceedings of the International Conference on Information Systems (ICIS), Kopenhagen, DNK. [VHB 3: A]


      ▶ Klumpp, M.; Severin, B.; Lechte, H.; Menck, J. H. D.; Keil, M.; Straub, S.M.; Milke, V.; Hagemann, V.; Ruiner, C.; Hesenius, M. (2022): Driving Big Data – Integration and Synchronization of Data Sources for Artificial Intelligence Applications with the Example of Truck Driver Work Stress and Strain Analysis, Proceedings of the International Conference on Information Systems (ICIS), Kopenhagen, DNK. [VHB 3: A]


      ▶ Menck, Jannes Heinrich Diedrich; Lechte, Henrik; and Kolbe, Lutz M., "Design of an Information System for Safety-Briefings along Planned Routes" (2022). AMCIS 2022 Proceedings. 2.
      https://aisel.aisnet.org/amcis2022/sig_green/sig_green/2


      ▶ Lechte, Henrik; Menck, Jannes Heinrich Diedrich; Lembcke, Tim-Benjamin; and Kolbe, Lutz M., "Replicating IoT-Privacy Studies in Virtual Reality" (2022). PACIS 2022 Proceedings. 339.
      https://aisel.aisnet.org/pacis2022/339 (Emergent Research Forum)


      ▶ Braun, Marvin; Harnischmacher, Christine; Lechte, Henrik; and Riquel, Johannes, "LET'S GET PHYSIC(AI)L – TRANSFORMING AI-REQUIREMENTS OF HEALTHCARE INTO DESIGN PRINCIPLES" (2022). ECIS 2022 Research-in-Progress Papers. 47.
      https://aisel.aisnet.org/ecis2022_rip/47 (Short paper)





  • 2021


      ▶ Fredershausen S, Lechte H, Willnat M, Witt T, Harnischmacher C, Lembcke T-B, Klumpp M, Kolbe L. (2021): Towards an Understanding of Hydrogen Supply Chains: A Structured Literature Review Regarding Sustainability Evaluation. Sustainability [VHB 3: C]


      ▶ Lembcke, T.-B.; Willnat, M.; Lechte, H.; Greve, M.; Heinsohn, J.; Brendel, A.B. (2021): Mobility Need-Adaptive Housing Platforms: The Benefit of a Commute Time Search Feature, Sustainability [VHB: C]



















Projects














Teaching
















Thesis Topics



  • An overview of current topics can be found here.











Application: If you are interested in writing your thesis about any topic relating to my research, please get in touch with me via e-mail. Please also send me your CV and grade sheet from FlexNow (a simple printout) to help us better match the precise topic to your area of interest.