AI‑Augmented MS/OR for Digital Operations and Emerging Technologies

Call for Papers – AI‑Augmented MS/OR for Digital Operations and Emerging Technologies

Journal: Omega – The International Journal of Management Science
Publisher: Elsevier
Submission deadline: 31 December 2026

This special issue focuses on how Artificial Intelligence and emerging technologies augment Management Science / Operations Research (MS/OR) to improve digital operations. It invites work that integrates AI, machine learning, big data, IoT, blockchain, digital twins, and cyber‑physical systems with rigorous OR/MS modelling to solve complex operational and managerial challenges in digital and tech‑driven environments.

Types of research this SI invites

Guest editors (full information)

Dr Jim (Junmin) Shi, New Jersey Institute of Technology, USA
Dr Kejia Hu, University of Oxford, UK
Dr Haibing Lu, Santa Clara University, USA
Dr Jung Hee (Junghee) Lee, University of Notre Dame, USA
Dr Long He, George Washington University, USA

List of suggested topic areas

• AI‑Driven and data‑enabled modelling:

  • Hybrid ML–OR and neural‑augmented optimization

  • Prediction + prescription frameworks and deep reinforcement learning

  • Simulation‑optimization and digital‑twin‑supported decision‑making

• Cyber‑physical and digital operations:

  • IoT‑enabled forecasting, monitoring, and resource allocation

  • Sensor analytics and Industry 4.0/5.0 architectures

  • Cloud/edge analytics for real‑time operations and validation of AI‑augmented systems

• Emerging‑technology applications:

  • Blockchain for traceability, transparency, and smart contracts

  • Robotics, 3D printing, drones, and automated industrial systems

  • Electric and autonomous vehicles, intelligent transportation systems

  • Digital health operations, AgriTech, InsurTech, PropTech

• Digital platforms and tech‑enabled services:

  • FinTech (cryptocurrency, DeFi, P2P lending)

  • Platform markets, digital ecosystems, and algorithmic governance

• Responsible and trustworthy AI:

  • Explainability, interpretability, and transparency in AI‑assisted operations

  • Bias, fairness, and risk in automated decision systems

  • Data governance and ethical considerations in digital operations

Submission information

Manuscripts must be submitted by 31 December 2026 via the Omega Editorial Manager system:
https://submit.elsevier.com/OMEGA

Select article type “VSI: AI‑Augmented MS/OR” and prepare your paper according to the journal’s Guide for Authors:
https://www.sciencedirect.com/journal/omega/publish/guide-for-authors

Submissions must demonstrate strong OR/MS or analytics methodology, clear integration of AI or emerging technologies, managerial relevance, and robust empirical, analytical, or simulation‑based validation. All papers will undergo Omega’s standard peer‑review process.

For questions, contact the Guest Editor: Dr Jim Shi (jim.shi@njit.edu).

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