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Call for Papers: Decision Analysis for Policy Interventions Using Nonexperimental Evidence
- Tony Cox
  Corresponding Author
  Tony Cox
  [email protected]
  https://orcid.org/0000-0001-7858-9140
  University of Colorado Denver, Denver, Colorado 80204
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  ,
- Vicki Bier
  Vicki Bier
  [email protected]
  University of Wisconsin–Madison, Madison, Wisconsin 53706
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- Allison Reilly
  Allison Reilly
  [email protected]
  University of Maryland, College Park, Maryland 20742
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Published Online:June 15, 2026
Explainability in Human-AI Collaboration under Information Asymmetry – The Case of Surgical Duration Planning
- Franziska Heinlein
  Corresponding Author
  Franziska Heinlein
  [email protected]
  http://orcid.org/0009-0008-2041-4063
  Universität Augsburg, Augsburg, 86159, Germany
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- Milena Grieger
  Milena Grieger
  [email protected]
  Universität Augsburg, Augsburg, BY, Germany
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- Sebastian Schiffels
  Sebastian Schiffels
  [email protected]
  Universität Augsburg, Augsburg, BY, Germany
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- Jens Otto Brunner
  Jens Otto Brunner
  [email protected]
  Technical University of Denmark, Lyngby, Capital Region of Denmark, Denmark; and University of Augsburg, Augsburg, BY, Germany
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Published Online:June 15, 2026
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As the integration of artificial intelligence (AI) into medical decision-making continues to expand, understanding its impact on decision-making performance is crucial. In the healthcare domain, inaccurate surgical duration forecasting poses challenges to ...
Cyber Risk in Supply Chains: Strategic Interactions and Optimal Coordination
- Jomon A. Paul
  Corresponding Author
  Jomon A. Paul
  [email protected]
  https://orcid.org/0000-0002-2853-2151
  Department of Economics, Finance, and Quantitative Analysis, Kennesaw State University, Kennesaw, Georgia 30144
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- Abhra Roy
  Abhra Roy
  [email protected]
  Department of Economics, Finance, and Quantitative Analysis, Kennesaw State University, Kennesaw, Georgia 30144
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Published Online:June 10, 2026
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Abstract
We develop a model of cybersecurity in a supply chain economy populated by multiple firms organized into two tiers of suppliers and retailers—and by cybercriminals. Suppliers and retailers form a network in which each supplier may be linked to several ...
From the Editor: Eight New Associate Editors and the 2025 Clemen–Kleinmuntz Decision Analysis Best Paper Award
- Jun Zhuang
  Jun Zhuang
  [email protected]
  https://orcid.org/0000-0003-4830-6570
  Department of Industrial and Systems Engineering, University at Buffalo, Buffalo, New York 14260
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Published Online:June 5, 2026
Voting by Mail: A Markov Chain Model for Managing the Security Risks of Absentee Voting
- Carmen A. Haseltine
  Carmen A. Haseltine
  [email protected]
  Department of Electrical & Computer Engineering, Morgan State University, Baltimore, Maryland 21251
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- Laura A. Albert
  Corresponding Author
  Laura A. Albert
  [email protected]
  https://orcid.org/0000-0001-7079-4473
  Department of Industrial & Systems Engineering, University of Wisconsin-Madison, Madison, Wisconsin 53706
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Published Online:June 3, 2026
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Abstract
The scrutiny surrounding vote-by-mail (VBM) in the United States has increased in recent years, highlighting the need for a rigorous quantitative framework to evaluate the resilience of the absentee voting infrastructure. This paper addresses these issues ...

EDITOR-IN-CHIEF

Jun Zhuang

Frequency: Quarterly

ISSN: 1545-8490 (Print)

ISSN: 1545-8504 (Online)

2024 Impact Factor: 1.5

5-year Impact Factor: 1.6

Winner of the 2025 Clemen–Kleinmuntz Decision Analysis Best Paper Award

Ali Abbas, Gordon Hazen

Finalist for the Clemen–Kleinmuntz Decision Analysis Best Paper Award

N. Onur Bakır

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