Prof. Dr. Oliver Müller

Wirtschaftsinformatik, insb. Data Analytics

Leiter -

E-Mail:
oliver.mueller@uni-paderborn.de
Telefon:
+49 5251 60-5100
Büro­anschrift:
365体育_足球比分网￥投注直播官网 Str. 100
33098 Paderborn
Raum:
Q2.457

Forschung

Aktuelle Projekte

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Publikationen

Aktuelle Publikationen

Designing taxi ridesharing systems with shared pick-up and drop-off locations: Insights from a computational study

M. Stumpe, P. Dieter, G. Schryen, O. Müller, D. Beverungen, Transportation Research Part A: Policy and Practice (2024).

PDF

Not your Average Digital Nudge: Heterogeneous Effects of Personalized Nudges with CausalML

K. B?sch, O. Müller, M. Weinmann, in: Proceedings of the Symposium on Statistical Challenges in Electronic Commerce Research, 2024.


Towards Cognitive Assistance and Prognosis Systems in Power Distribution Grids – Open Issues, Suitable Technologies, and Implementation Concepts

R. Gitzel, M. Hoffmann, P. zur Heiden, A.M. Skolik, S.B. Kaltenpoth, O. Müller, C. Kanak, K. Kandiah, M.-F. Stroh, W. Boos, M. Zajadatz, M. Suriyah, T. Leibfried, D.S. Singhal, M. Bürger, D. Hunting, A. Rehmer, A. Boyaci, IEEE Access (2024) 1–1.

DOI

Getting in Contract with Large Language Models - An Agency Theory Perspective On Large Language Model Alignment

S.B. Kaltenpoth, O. Müller, in: Wirtschaftsinformatik 2024 Proceedings, 2024.


Digital Responsibility – a Multilevel Framework for Responsible Digitalization

D. Beverungen, D. Kundisch, M. Mirbabaie, O. Müller, G. Schryen, S.T.-N. Trang, M. Trier, Business & Information Systems Engineering 65 (2023) 463–474.

DOI

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Lehre


Laufende Lehrveranstaltungen

  • ?bung zu Grundlagen von Managementinformationssystemen
  • Vorlesung zu Grundlagen von Managementinformationssystemen
  • Studienarbeit Predictive Analytics
  • Methoden der Data Science - ?bung
  • Methoden der Data Science
  • Data Science for Business
  • Applied Machine Learning for Text Analysis