1. Published

    Heuristic approximation and computational algorithms for closed networks: A case study in open-pit mining

    Daduna, H., Krenzler, R., Ritter, R. & Stoyan, D., 03.2018, In: Performance Evaluation. 119, p. 5-26 22 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  2. Published

    How Big Does Big Data Need to Be?

    Stange, M. & Funk, B., 06.2016, Enterprise Big Data Engineering, Analytics, and Management. Atzmueller, M., Oussena, S. & Roth-Berghofer, T. (eds.). Hershey: Business Science Reference, p. 1-12 12 p.

    Research output: Contributions to collected editions/worksContributions to collected editions/anthologiesResearchpeer-review

  3. Published

    How does Enterprise Architecture support the Design and Realization of Data-Driven Business Models? An Empirical Study

    Rashed, F. & Drews, P., 01.01.2021, Innovation Through Information Systems - Volume III: A Collection of Latest Research on Management Issues. Ahlemann, F., Schütte, R. & Stieglitz, S. (eds.). Cham: Springer Nature Switzerland AG, p. 662-677 16 p. (Lecture Notes in Information Systems and Organisation; vol. 48 LNISO).

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

  4. Published

    How Much Home Office is Ideal? A Multi-Perspective Algorithm

    Colley, M., Jansen, P., Matthiesen, J., Hoberg, H., Reger, C. & Thiermann, I., 20.09.2023, Proceedings of the 2nd Annual Meeting of the Symposium on Human-Computer Interaction for Work, CHIWORK 2023. Boll, S., Cox, A., Ludwig, T. & Cecchinato, M. E. (eds.). New York: Association for Computing Machinery, Inc, 12 p. 8. (ACM International Conference Proceeding Series).

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

  5. Published

    How Much Tracking Is Necessary? - The Learning Curve in Bayesian User Journey Analysis

    Stange, M. & Funk, B., 29.05.2015, Proceedings of the Twenty-Third European Conference on Information Systems. AIS eLibrary, 13 p.

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

  6. Published

    How to Predict Mood? Delving into Features of Smartphone-Based Data

    Becker, D., Bremer, V., Funk, B., Asselbergs, J., Riper, H. & Ruwaard, J., 08.2016, Proceedings of the AMCIS 2016. AIS eLibrary, 10 p. (Proceedings of the Americas Conference on Information Systems (AMCIS); vol. 2016).

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

  7. Published

    How to stay agile while growing: (re-)designing the IT landscape of a digital gazelle in the online marketing industry

    Tschoppe, N. J., Tänzler, J. & Drews, P., 23.02.2023, Cases on Digital Entrepreneurship: How Digital Technologies are Transforming the Entrepreneurial Process in Existing Businesses and Start-ups . Landoli, L. & Gibaldi, C. (eds.). Edward Elgar Publishing, p. 130-144 15 p.

    Research output: Contributions to collected editions/worksContributions to collected editions/anthologiesResearchpeer-review

  8. Published

    Human-Value-Oriented Digital Social Innovation: A Multilevel Design Framework

    Gebken, L., Kurtz, C., Drews, P., Schirmer, I. & Böhmann, T., 2021, ICIS 2021 Proceedings: Building sustainability and resilience with IS: A call for action. Association for Information Systems, 17 p. 1654

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

  9. Published

    Humanzentrierte Assistenzsysteme: Prädiktive Situationserkennung in unsicheren Domänen auf Basis dynamischer Selbstadaption

    Busch, B-H. & Welge, R., 2011, Tagungsband des ESE-Kongress 2011: 5. bis 9. Dezember 2011, Sindelfingen. Sindelfingen: Microconsult, p. 548-555 6 p.

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

  10. Published

    HyperUCB: Hyperparameter optimization using contextual bandits

    Tavakol, M., Mair, S. & Morik, K., 28.03.2020, Machine Learning and Knowledge Discovery in Databases: International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I. Cellier, P. & Driessens, K. (eds.). Cham: Springer Nature AG, Vol. 1. p. 44-50 7 p. ( Communications in Computer and Information Science; vol. 1167).

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