AI Summary of Scholarly Research

This page presents an AI-generated summary of a published research paper. The original authors did not write or review this article. [See full disclosure ↓]

Institutions’ contributions to OR/MS practice literature are tracked over time

Research area:software-information-systemsdigital-transformation

What the study found

The study presents a way to measure which institutions prioritize operations research and management science (OR/MS) in practice literature. It offers both a current view and a 30-year time series view of institutional contribution.

Why the authors say this matters

The authors say this continues a 30-year tradition of measuring institutional contribution to applied research in OR/MS. The findings indicate a way to track which institutions prioritize OR/MS in practice.

What the researchers tested

The article examines institutional contribution to applied research in OR/MS practice literature. It uses a current assessment and a historical time series spanning 30 years.

What worked and what didn't

The abstract states that the work provides both a current and time series view of institutional contribution. It does not describe specific comparative rankings, quantitative results, or any measures that did not work.

What to keep in mind

The available summary is brief and does not describe methods, data sources, or detailed results. It also does not state any limitations.

Key points

  • The study measures institutional contribution to applied OR/MS research.
  • It provides both a current view and a 30-year time series view.
  • The work focuses on OR/MS practice literature.
  • The abstract does not give specific rankings or numerical results.
  • No limitations are described in the available summary.

Disclosure

Research title:
Institutions’ contributions to OR/MS practice literature are tracked over time
Authors:
Michael F. Gorman
Institutions:
University of Dayton
Publication date:
2026-02-27
OpenAlex record:
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AI provenance: This post was generated by gpt-5.4-mini (OpenAI). The original authors did not write or review this post.