Research Center for Digital Transformation

Organisational unit: Institute

Organisation profile

The Digital Transformation Research Center addresses the challenges of digitalization in economy and society. It is part of the school of business and economics and integrates researchers from several disciplines, including business administration, business psychology, economics, engineering and information systems. Research projects are carried out in cooperation with regional, national and international partners to create knowledge that is practically relevant.

  1. Published

    Dynamische Losgrößenoptimierung mit bestärkendem Lernen

    Voß, T., Bode, C. & Heger, J., 2021, In: ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb. 116, 11, p. 815-819 5 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  2. Published

    Dynamic priority based dispatching of AGVs in flexible job shops

    Heger, J. & Voß, T., 13.03.2019, In: Procedia CIRP. 79, p. 445 - 449 5 p.

    Research output: Journal contributionsConference article in journalResearchpeer-review

  3. Published

    Dynamic Lot Size Optimization with Reinforcement Learning

    Voss, T., Bode, C. & Heger, J., 01.01.2022, Dynamics in Logistics : Proceedings of the 8th International Conference LDIC 2022, Bremen, Germany. Freitag, M., Kinra, A., Kotzab, H. & Megow, N. (eds.). Cham: Springer Science and Business Media B.V., p. 376-385 10 p. (Lecture Notes in Logistics).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  4. Published

    Dynamically changing sequencing rules with reinforcement learning in a job shop system with stochastic influences

    Heger, J. & Voß, T., 14.12.2020, Proceedings of the 2020 Winter Simulation Conference, WSC 2020. Bae, K-H., Feng, B., Kim, S., Lazarova-Molnar, S., Zheng, Z., Roeder, T. & Thiesing, R. (eds.). IEEE - Institute of Electrical and Electronics Engineers Inc., p. 1608 - 1618 11 p. 9383903. (Proceedings - Winter Simulation Conference; vol. 2020-December).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  5. Published

    Dynamically adjusting the k-values of the ATCS rule in a flexible flow shop scenario with reinforcement learning

    Heger, J. & Voss, T., 2023, In: International Journal of Production Research. 61, 1, p. 147-161 15 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  6. Published

    Do sustainable institutional investors contribute to firms’ environmental performance? Empirical evidence from Europe

    Kordsachia, O., Focke, M. & Velte, P., 01.07.2022, In: Review of Managerial Science. 16, 5, p. 1409-1436 28 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  7. Published
  8. Published

    Do Nonprofessional Investors Value the Assurance of Integrated Reports? Exploratory Evidence

    Gerwanski, J., Velte, P. & Mechtel, M., 01.02.2022, In: European Management Journal. 40, 1, p. 103-126 24 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  9. Published

    Do fair value measurements affect accounting-based earnings quality? A literature review with a focus on corporate governance as moderator

    Thesing, J. & Velte, P., 09.2021, In: Journal of Business Economics : JBE. 91, 7, p. 965-1004 40 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  10. Published

    Does sustainable corporate governance have an impact on materiality disclosure quality in integrated reporting? International evidence

    Velte, P., 01.12.2022, In: Sustainable Development. 30, 6, p. 1655-1670 16 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review