Leveraging AI for Management Decision-Making (Dagstuhl Seminar 24342)

Authors Stefan Feuerriegel, Foster Provost, Galit Shmueli and all authors of the abstracts in this report



PDF
Thumbnail PDF

File

DagRep.14.8.24.pdf
  • Filesize: 1.79 MB
  • 12 pages

Document Identifiers

Author Details

Stefan Feuerriegel
  • Ludwig-Maximilians-Universität München, DE
Foster Provost
  • New York University, US
Galit Shmueli
  • National Tsing Hua University - Hsinchu, TW
and all authors of the abstracts in this report

Cite As Get BibTex

Stefan Feuerriegel, Foster Provost, and Galit Shmueli. Leveraging AI for Management Decision-Making (Dagstuhl Seminar 24342). In Dagstuhl Reports, Volume 14, Issue 8, pp. 24-35, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025) https://doi.org/10.4230/DagRep.14.8.24

Abstract

Artificial intelligence (AI) is transforming decision-making across industries and management functions, which leads to increased operational efficiency and creates significant economic impact. A recent surge in attention to AI in business decision-making has been driven by new AI technologies - such as deep learning, causal machine learning, generative AI and explainable AI - and their applications in areas like operations, marketing, information systems, and quality management. Yet, the potential of AI to optimize business decisions also introduces ethical, legal, and societal challenges, particularly in high-stakes business settings. This motivates our Dagstuhl Seminar, which aimed to foster interdisciplinary collaboration between scholars in management and computer science, as well as practitioners from industry. As a result, the seminar generated new suggestions for the field to evolve in the future by identifying new research opportunities with managerial relevance.

Subject Classification

ACM Subject Classification
  • Computing methodologies → Artificial intelligence
  • Social and professional topics → Computing and business
  • Computing methodologies → Machine learning
  • Information systems
Keywords
  • applications
  • business
  • decision-making
  • management
  • marketing

Metrics

  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    0
    PDF Downloads
Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail