Michael Bücker
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Publications

Research publications, talks, and software

Google Scholar ORCID 0000-0003-0045-8460

Peer-Reviewed Journal Articles

2026
Development of a Hybrid Artificial Intelligence Framework for Pharmacotherapy Optimization
Rose, O., Clemens, S., Leiherer, A., Bücker, M., Petersson, F., Lirk, G., Mosch, C., Pachmayr, J. & Hoti, K.
International Journal of Clinical Pharmacy. doi:10.1007/s11096-026-02205-0
2026
Automating Assist Identification in Football (Soccer): A Machine Learning Approach Using Event and Tracking Data
Klemmer, M., Arnsmeyer, K., Bauer, P. & Bücker, M.
Sports Engineering, 29(1), 4. doi:10.1007/s12283-025-00533-4
2024
Artificial Intelligence to Assist Decision-Making on Pharmacotherapy: A Feasibility Study
Bücker, M., Hoti, K. & Rose, O.
Exploratory Research in Clinical and Social Pharmacy, 15, 100491. doi:10.1016/j.rcsop.2024.100491
2022
Transparency, Auditability and eXplainability of Machine Learning Models in Credit Scoring
Bücker, M., Szepannek, G., Gosiewska, A. & Biecek, P.
Journal of the Operational Research Society, 73(1), 70–90. doi:10.1080/01605682.2021.1922098
2014
Determinants, Moderators and Consequences of Organizational Interaction Orientation
Hoops, C. & Bücker, M.
Journal of Entrepreneurship Management and Innovation, 9(4), 73–100. doi:10.7341/2013944
2013
Reject Inference in Consumer Credit Scoring with Nonignorable Missing Data
Bücker, M., van Kampen, M. & Krämer, W.
Journal of Banking & Finance, 37(3), 1040–1045. doi:10.1016/j.jbankfin.2012.11.002
2012
A Hausman Test for Non-Ignorability
Bücker, M., Krämer, W. & Arnold, M.
Economics Letters, 114(1), 23–25. doi:10.1016/j.econlet.2011.08.025
2011
Probleme des Qualitätsvergleichs von Kreditausfallprognosen
Krämer, W. & Bücker, M.
AStA Wirtschafts- und Sozialstatistisches Archiv, 5(1), 39–58. doi:10.1007/s11943-011-0096-0

Peer-Reviewed Conference Papers

2027
Trend Identification for Corporate Foresight: A Review and Research Agenda
Wiethölter, J., Plattfaut, R., Bücker, M. & Kühl, L.
Proceedings of the 60th Hawaii International Conference on System Sciences (HICSS). Accepted for publication.
2027
From Signals to Meaning: Understanding Contemporary Trend Research Through Practitioner Perspectives
Wiethölter, J., Plattfaut, R., Bücker, M. & Kühl, L.
Proceedings of the 60th Hawaii International Conference on System Sciences (HICSS). Accepted for publication.
2026
Agentic AI in Marketing: From Generative Automation to Strategic, Brand-Aligned Customer Engagement
Heuser, D. N., Bücker, M., Niessing, J. & Feldmann, C.
Proceedings of the 17th International Conference on E-business, Management and Economics (ICEME 2026), ACM. In press. doi:10.1145/3847040.3847086
2026
Bridging the Gap: Real-World Use Cases of AI in Business Process Management
Feldmann, C., Bücker, M. & Hewing, M.
Proceedings of CENTERIS 2026 – International Conference on ENTERprise Information Systems. Accepted for publication.
2026
RAG Security by Design: Development of Security Design Principles for Secure RAG Applications
Meyer, J., Bücker, M., Hewing, M. & Wiethölter, J.
Proceedings of CENTERIS 2026 – International Conference on ENTERprise Information Systems. Accepted for publication.
2025
Addressing Challenges in a Dangerous World: Developing a Design Science Artifact for Advancing Open Source Intelligence (OSINT) Research
Kayser, F., Mayer, T. & Bücker, M.
Proceedings of the 58th Hawaii International Conference on System Sciences (HICSS), 5370–5379. doi:10.25974/fhms-18651
2010
Local Classification of Discrete Variables by Latent Class Models
Bücker, M., Szepannek, G. & Weihs, C.
In: Classification as a Tool for Research, Studies in Classification, Data Analysis, and Knowledge Organization. Springer, 127–135. doi:10.1007/978-3-642-10745-0_13

Monographs & Book Chapters

2027
Statistische Methoden zur Plausibilisierung und Absicherung von Ursache-Wirkungs-Zusammenhängen in Werttreiberbäumen
Bücker, M.
In: Feldmann, C. & Matthies, B. (eds.), Agile Unternehmenssteuerung mit Werttreiberbäumen. Springer Gabler. Forthcoming, ISBN 978-3-658-53489-9.
2027
Generative KI in der Marketingpraxis: Datenbasierte Zielgruppenansprache und KI-gestützte Content-Erstellung
Bücker, M. & Feldmann, C.
In: Heinbach, C. & Hüllmann, J. (eds.), Wie mittelständische Unternehmen Generative KI nutzen: Lessons Learned aus dem Münsterland. Springer. Forthcoming.
2026
AI Agents: Designing, Orchestrating, and Governing LLM-Based Systems
Bücker, M. & Hewing, M.
Monograph under contract with Springer; manuscript submitted. Expected publication: December 2026. Book website

Manuscripts & Preprints

2026
Diagnosing Reject Inference: Relevance, Exclusion, and Selective Labeling
Bücker, M.
Manuscript submitted to the Journal of the American Statistical Association (Applications and Case Studies).
2026
The Price of a Weak Shadow Variable: Inference under Nonignorable Missingness as Relevance Vanishes
Bücker, M.
Manuscript under review at the Journal of Econometrics. arXiv:2610.14695
2026
What Do Stability Measures for Rule Ensembles Measure? A Comparison, and a Transport-Based Alternative
Bücker, M.
Manuscript submitted to the Journal of Computational and Graphical Statistics.
2026
Three Conditions for Reading Rule Necessity in Rashomon Sets
Bücker, M.
Manuscript submitted to Transactions on Machine Learning Research.
2026
Applying Machine Learning in Clinical Pharmacy: Predicting Drug-Related Problems for Medication Review Prioritization
Bücker, M., Petersson, F., Clemens, S. & Rose, O.
Manuscript submitted to Informatics for Health and Social Care.
2022
Fast Learning of Dynamic Hand Gesture Recognition with Few-Shot Learning Models
Schlüsener, N. & Bücker, M.
arXiv:2212.08363
2011
Reject Inference in Consumer Credit Scoring with Nonignorable Missing Data
Bücker, M., van Kampen, M. & Krämer, W.
Discussion Paper SFB 823, No. 1/2011.
2009
Statistischer Qualitätsvergleich von Kreditausfallprognosen
Bücker, M. & Krämer, W.
Discussion Paper SFB 823, No. 30/2009.

Other Publications & Knowledge Transfer

2026
From Pilots to Pipelines: Unlocking Agentic AI's True Potential
Niessing, J., Feldmann, C. & Bücker, M.
The European Business Review, May–June 2026, 32–40. Online article

Conference Talks

2026
Inferring AI-Act-Relevant Application Contexts from Prompts for Enterprise Chatbot Governance
Bücker, M., Buchmüller, C., Wobker, J. & Rink, L.
European Conference on Data Analysis (ECDA 2026) · Stralsund University of Applied Sciences. Slides
2025
Addressing Challenges in a Dangerous World: Developing a Design Science Artifact for Advancing Open Source Intelligence (OSINT) Research
Kayser, F., Mayer, T. & Bücker, M.
58th Hawaii International Conference on System Sciences (HICSS) · Hilton Waikoloa Village, Big Island, Hawaii
2022
Machine Learning Decision Records – A Novel Approach for Decision Records in Machine Learning Operationalization
Gronhorst, M., Köhne, F. & Bücker, M.
European Conference on Data Analysis (ECDA 2022) · Università Federico II, Naples, Italy
2019
Transparency of Machine Learning Models in Credit Scoring
Bücker, M., Szepannek, G., Gosiewska, A. & Biecek, P.
Credit Scoring and Credit Control Conference XVI · University of Edinburgh, UK
2009
lcda: An R Package for Local Classification of Discrete Variables by Latent Class Models
Bücker, M.
useR! – The R User Conference 2009 · Agrocampus-Ouest, Rennes, France
2009
Local Classification of Discrete Variables by Latent Class Models
Bücker, M., Szepannek, G. & Weihs, C.
11th Conference of the International Federation of Classification Societies (IFCS) · TU Dresden

Software (R Packages)

2026
exams2ilias: ILIAS Export Interface for R/Exams
Bücker, M.
R package version 0.0.1. Website · CRAN
2026
bunddev: Discover and Call 'Bund.dev' APIs
Bücker, M.
R package. Website · CRAN
2024
MSBStatsData: Data Sets for Courses at the Münster School of Business
Bücker, M. & Schlüsener, N.
R package. Website · CRAN
2022
lcda: Latent Class Discriminant Analysis
Bücker, M.
R package version 0.3.1. Website · CRAN

Dissertation & Thesis

2011
Statistische Modelle mit nicht-ignorierbar fehlender Zielgröße und Anwendung in der Reject Inference
Bücker, M.
Doctoral dissertation, TU Dortmund. doi:10.17877/DE290R-555
2008
Lokale Diskrimination diskreter Daten
Bücker, M.
Diploma thesis, TU Dortmund.
 

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