Production And Operations Management

---
name: production-and-operations-management
description: Use when targeting Production and Operations Management (POM) or deciding whether a broad operations-management analytical or empirical manuscript fits this venue. Encodes the journal's fit, framing, method-and-evidence bar, house style, official-submission re-check, and desk-reject heuristics.
---

# Production and Operations Management (production-and-operations-management)

## Journal positioning

Production and Operations Management (POM) is the journal of the Production and Operations Management Society (POMS) and one of OM's broad-tent flagships. It publishes the full range of OM scholarship — analytical models and empirical studies alike — across supply chain, operations strategy, sustainability operations, healthcare operations, service operations, and the operations–marketing and operations–finance interfaces. Where M&SOM leans analytical and JOM leans empirical, POM is deliberately methods-broad and welcomes both, judged on the importance of the operations problem and the rigor of the contribution. The readership is the broad POMS community.

This skill is a **fit / venue-selection / re-framing** tool. It does not replace the journal's current official submission guidelines. Before submitting, re-check the live author instructions on the POMS / publisher site and the editorial submission system.

## When to trigger

- The author names POM / POMS (or the broad OM elite) as the target venue.
- An analytical or empirical OM paper — including sustainability, healthcare, or interface operations — needs a broad OM flagship.
- A paper at the operations–marketing or operations–finance interface needs an OM home.
- The author needs POM's desk-reject risks and a credible OM / MS / OR alternative list before submitting.

## Scope & topic fit

- Supply chain management, operations strategy, and global operations.
- Sustainability and socially responsible operations; closed-loop and green supply chains.
- Healthcare operations and service operations.
- Operations interfaces with marketing, finance, and information systems; behavioral and empirical OM.

## Method & evidence bar

- Analytical papers need a correct, non-trivial model with proofs and a clear operations insight; assumptions must be defensible.
- Empirical papers need credible identification (DiD/IV/RDD/experiments) or a defensible structural model, with appropriate data.
- Behavioral OM needs adequate power, sound design, and replicability.
- Whatever the method, the operations problem must be important and the contribution generalizable.

## Structure & house style

- The introduction frames the operations problem, states the contribution and method early, and situates the paper in the OM literature.
- Analytical papers lead with structure and intuition; proofs and extensions go to an online appendix.
- Empirical papers report and interpret operational magnitudes, not only significance.
- POM accommodates topical areas/sections; framing the paper for the right area helps fit.

## Official-submission checklist

- Before giving submission-ready advice, read `../../resources/source-basis.md` and `../../resources/official-source-map.md`; start from the official source anchors for this journal family, then cite the current journal-specific page you checked.
- Search the live site for "Production and Operations Management author guidelines / submission guidelines" and follow the current POMS/publisher version, including any departmental/area structure.
- Re-check word/length limits, abstract format, anonymization for double-blind review, and reference style.
- Re-check the current open-science, data/code availability, and disclosure/ethics policies.
- If the live official instructions conflict with this skill, the official instructions win.

## Pre-submission self-check

- [ ] One sentence stating the operations contribution and why it matters to the POMS community.
- [ ] The contribution is stated as a model result / identification / operational mechanism, not as significance.
- [ ] Modeling assumptions are defensible, or the empirical identification is credible and robust.
- [ ] Results report operational magnitudes; the discussion states theory and practice contributions.
- [ ] Length, abstract, anonymization, references, and open-science policy match the current POM guide.

## Common desk-reject triggers

- A model with no operations insight or with implausible assumptions; an empirical study with no identification.
- A descriptive or atheoretical study with no contribution to OM understanding.
- A pure OR methodology paper with no OM payoff, or a non-OM paper framed as operations.
- Significant coefficients without operational magnitude or mechanism.

## Re-routing decision

- Analytical OM theory and models with an INFORMS audience → `manufacturing-and-service-operations-management`.
- Survey-based, behavioral, or theory-testing empirical OM → `journal-of-operations-management`.
- Broad management insight or empirics across subfields → `management-science` (choose the right department).
- OR methodology / optimization for its own sake → `operations-research`; computational → `informs-journal-on-computing`.

## Output format

```text
[Fit] High / Medium / Low (one-line reason)
[Target] Production and Operations Management
[Topic tags] <2–3 closest topics>
[Method/evidence] <does the operations contribution + rigor clear POM's bar?>
[Top risk] <the single most likely reason for rejection>
[Official items to re-check] <submission system / area / blinding / open-science / data-code>
[Re-route suggestion] <if not a fit, a better-matched venue>
```