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

Authors: Stefan Feuerriegel, Foster Provost, and Galit Shmueli

Published in: Dagstuhl Reports, Volume 14, Issue 8 (2025)


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.

Cite as

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)


Copy BibTex To Clipboard

@Article{feuerriegel_et_al:DagRep.14.8.24,
  author =	{Feuerriegel, Stefan and Provost, Foster and Shmueli, Galit},
  title =	{{Leveraging AI for Management Decision-Making (Dagstuhl Seminar 24342)}},
  pages =	{24--35},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2025},
  volume =	{14},
  number =	{8},
  editor =	{Feuerriegel, Stefan and Provost, Foster and Shmueli, Galit},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.14.8.24},
  URN =		{urn:nbn:de:0030-drops-229961},
  doi =		{10.4230/DagRep.14.8.24},
  annote =	{Keywords: applications, business, decision-making, management, marketing}
}
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