Lehrstuhl Wirtschaftsinformatik 2

Priv.-Doz. Dr. Jörg Leukel

Telefon:
+49 711 459-23968
Email:
joerg.leukel [at] uni-hohenheim.de
Adresse:
Universität Hohenheim
Lehrstuhl Wirtschaftsinformatik 2
Schwerzstraße 35
70599 Stuttgart
Büro:
Zimmer 0.05
Sprechzeiten:Jederzeit nach Vereinbarung per E-Mail

Lehrveranstaltungen/Module

  • Digital Transformation of the Healthcare Industry
  • E-Health
  • Projects in Bioeconomic Research - Group Project
  • Projekt Information Systems
  • Seminar Experimentelle Wirtschaftsinformatik
  • Wissensverarbeitung

Forschungsschwerpunkte

  • Machine Learning
  • Semantische Technologien
  • Konzeptuelle Modellierung

Gremientätigkeiten

  • Prüfungsausschuss Wirtschaftsinformatik
  • Steuerungsgruppe des Forschungszentrum für Gesundheitswissenschaften
  • Studienkommission Bioeconomy

Publikationen (ab 2016)

  • Stumpe, C., Leukel, J., & Zimpel, T. (2024). Prediction of pasture yield using machine learning-based optical sensing: a systematic review. Precision Agriculture, 25(1), 430-459. https://doi.org/10.1007/s11119-023-10079-9
  • Zimpel, T., Perdana-Decker, S., Leukel, J., Scheurer, L., Dickhoefer, U., & Werner, J. (2023). P42 Estimating pasture yield using machine learning and weather data: effect of small and large prediction horizons. Animal-science proceedings, 14(4), 628-629. https://doi.org/10.1016/j.anscip.2023.04.137
  • Leukel, J., González, J., & Riekert, M. (2023). Machine learning-based failure prediction in industrial maintenance: improving performance by sliding window selection. International Journal of Quality & Reliability Management, 40(6), 1449-1462. https://doi.org/10.1108/IJQRM-12-2021-0439
  • Leukel, J., Zimpel, T., & Stumpe, C. (2023). Machine learning technology for early prediction of grain yield at the field scale: a systematic review. Computers and Electronics in Agriculture, 207, 107721. https://doi.org/10.1016/j.compag.2023.107721
  • Leukel, J., Schehl, B., & Sugumaran, V. (2023). Digital inequality among older adults: explaining differences in the breadth of internet use. Information, Communication & Society, 26(1), 139-154. https://doi.org/10.1080/1369118X.2021.1942951
  • Leukel, J., Özbek, G., & Sugumaran, V. (2022). Application of logistic regression to explain internet use among older adults: a review of the empirical literature. Universal Access in the Information Society. https://doi.org/10.1007/s10209-022-00960-1
  • Leukel, J., & Sugumaran, V. (2022). How novice analysts understand supply chain process models: an experimental study of using diagrams and texts. Journal of Enterprise Information Management, 35(3), 757-773. https://doi.org/10.1108/JEIM-11-2020-0478
  • Kösebay, M., Kirn, S., Wallrafen, S., Leukel, J., & Gierl, F. (Hrsg.) (2021). Stadt der Zukunft – Smartes Stadtmobiliar für mehr Teilhabe im Alter. medhochzwei.
  • Leukel, J., & Wallrafen, S. (2021). Situation älterer Menschen in Deutschland. In M. Kösebay, S. Kirn, S. Wallrafen, J. Leukel & F. Gierl (Hrsg.), Stadt der Zukunft – Smartes Stadtmobiliar für mehr Teilhabe im Alter (S. 77-83). medhochzwei.
  • Leukel, J., Schehl, B., & Wallrafen, S. (2021). Bürgerbefragung 65+ in Mönchengladbach. In M. Kösebay, S. Kirn, S. Wallrafen, J. Leukel & F. Gierl (Hrsg.), Stadt der Zukunft – Smartes Stadtmobiliar für mehr Teilhabe im Alter (S. 104-118). medhochzwei.
  • Leukel, J., Gonzalez, J., & Riekert, M. (2021). Adoption of machine learning technology for failure prediction in industrial maintenance: a systematic review. Journal of Manufacturing Systems, 61, 87-96. https://doi.org/10.1016/j.jmsy.2021.08.012
  • Schehl, B., & Leukel, J. (2020). Associations between individual factors, environmental factors, and outdoor independence in older adults. European Journal of Ageing, 17(3), 291-298. https://doi.org/10.1007/s10433-020-00553-y
  • Leukel, J., Schehl, B., & Sugumaran, V. (2020). To do or not to do: how socio-demographic characteristics of older adults are associated with online activities. In Q. Gao & J. Zhou (Eds.), Proceedings of the 6th International Conference on Human Aspects of IT for the Aged Population (ITAP 2020) (pp. 255-268). LNCS 12209. Springer. https://doi.org/10.1007/978-3-030-50232-4_18
  • Schehl, B., Leukel, J., & Sugumaran, V. (2019). Understanding differentiated internet use in older adults: a study of informational, social, and instrumental online activities. Computers in Human Behavior, 97, 222-230. doi: https://doi.org/10.1016/j.chb.2019.03.031
  • Leukel, J., & Sugumaran, V. (2019). Supplement to the article: how product representation influences the understanding of supply chain process models. Social Science Research Network (SSRN). http://dx.doi.org/10.2139/ssrn.3386680
  • Leukel, J., & Sugumaran, V. (2018). How product representation influences the understanding of supply chain process models. Enterprise Information Systems, 12(10), 1285-1307. https://doi.org/10.1080/17517575.2018.1533589
  • Widmer, T., & Leukel, J. (2018). Electronic service matching: Failure of incentive compatibility in Vickrey auctions. Operational Research Letters, 46(3), 318-323. https://doi.org/10.1016/j.orl.2018.03.004
  • Leukel, J., Schehl, B., Wallrafen, S., & Hubl, M. (2017). Impact of IT use by older adults on their outdoor activities. In Proceedings of the 38th International Conference on Information Systems (ICIS 2017). Seoul, Korea.
  • Leukel, J., Sugumaran, V., & Hubl, M. (2016). The role of application domain knowledge in using OWL DL diagrams: A study of inference and problem-solving tasks. In Proceedings of the 37th International Conference on Information Systems (ICIS 2016). Dublin, Irland.
  • Karaenke, P., Leukel, J., & Sugumaran, V. (2016). Using domain ontology for service replacement tasks: An empirical evaluation. In Proceedings of the 37th International Conference on Information Systems (ICIS 2016). Dublin, Irland.
  • Widmer, T., & Leukel, J. (2016). Efficiency of electronic service allocation with privately known quality. European Journal of Operational Research, 255(3), 856-868. https://doi.org/10.1016/j.ejor.2016.05.055
  • Riekert, M., Leukel, J., & Klein, A. (2016). Online media sentiment: Understanding machine learning-based classifiers. In Proceedings of the 24th European Conference on Information Systems (ECIS 2016). Istanbul, Turkey.
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