| name | msom-topic-selection |
| description | Use when shaping or stress-testing a research question for Manufacturing & Service Operations Management (M&SOM) — confirming an operations decision is central, choosing the analytical-vs-empirical lane, and matching the question to the right editorial Department before any modeling or data work begins. |
Topic Selection & M&SOM Fit (msom-topic-selection)
When to trigger
- You have a problem idea but are unsure it belongs in M&SOM versus a general OR or strategy venue
- A senior co-author asks "where is the operations decision here?"
- You must pick which of the six editorial Departments your work targets
- You are deciding whether to pursue this as an analytical model or an empirical study
The operations-centrality gate
M&SOM's defining screen is that an operations decision or problem is central to the contribution, not a backdrop. The journal covers the design, procurement, production, delivery, and recovery of goods and services. A strong analytics, pricing, marketing, or finance paper that merely uses an operational setting is routinely desk-screened. Before anything else, write one sentence: "The operational decision is ___, the tradeoff is ___, and the operational lever is ___." If you cannot, the topic is not yet M&SOM-ready.
Choose the lane (and the journal will route by it)
M&SOM publishes both analytical/stochastic modeling (optimization, queueing, stochastic models, game theory, revenue management) and empirical OM / data-driven analytics. Pick the lane that the decision demands:
- Analytical when the contribution is a tractable model yielding structural insight about an operational policy (e.g., base-stock structure, threshold pricing, equilibrium contract).
- Empirical when the contribution is a credibly identified operational effect or a data-driven policy validated on real operations.
Match to a Department (this is fit)
Map the question to one of the six departments — Manufacturing & Supply Chain Operations; Services, Platforms & Revenue Management; Environment, Health & Society; Operational Innovation; Analytics in OM; or the Practice Platform. A field-driven or practice-based study may target the Practice Platform; a thought-leadership perspective is an OM Forum piece (an identifying banner), not a standard research article. Your topic should clearly belong to one department, because the manuscript's fate hinges on that match.
Checklist
Anti-patterns
- A pricing/finance/ML paper dressed in operations vocabulary with no real operational lever.
- "We apply method X to an operations dataset" with no operations decision improved.
- Targeting M&SOM generically without picking a department.
Fit pass for Manufacturing & Service Operations Management
Run this as a concrete capability pass. First lock the process bottleneck, decision policy, queue/inventory/service mechanism, and implementation constraint; then test whether the manuscript addresses operations reviewers who look for service/manufacturing process insight, implementable policies, and operational performance evidence.
- Primary move: Score fit, novelty, evidence readiness, and audience ownership; reject prestige-only targeting when a sibling venue owns the contribution more directly.
- Decision ledger: return
claim / evidence / blocker / next edit rows so the next pass can patch the manuscript directly.
- Sibling comparison: compare against Management Science for broader OR/MS reach, Production and Operations Management for wider OM readership, Operations Research for method-first theory; if the neighboring outlet has the stronger audience claim, recommend re-routing before polishing.
- Verification floor: before submission-ready advice, re-open
resources/official-source-map.md for volatile rules and name the one unresolved fact that could change the recommendation.
Fit screen before you commit (illustrative)
Vignette: a team has scanner data and wants to study whether a loyalty program raises sales — as stated, a marketing question that would be desk-screened. Reshaped it becomes fit: does the program change the store's replenishment decision by making demand more forecastable, and what is the optimal safety-stock adjustment? Now the lever (safety stock) and the tradeoff (holding cost vs. stockout) are central. The same reshaping rescues "does advertising raise demand?" (→ how does demand shaping change the inventory decision?) and "we apply deep learning to logistics data" (→ which staffing decision does it improve?).
Referee-pushback patterns and the venue fix
- "Strong paper, but the operations decision is a backdrop." → Promote the operating lever to the primary contribution or re-route to a general OR/MS venue.
- "Which department is this for?" → Commit to one of the six departments at topic stage; an undeclared target reads as unfocused. Choose the lane the decision demands (structure to characterize, or an effect to identify), not the lane you are most comfortable in.
Output format
【Operations decision】lever / tradeoff ...
【Lane】analytical / empirical — why ...
【Department】primary + second choice ...
【So-what】managerial implication ...
【Verdict】M&SOM-fit: yes / reshape / wrong venue
【Next step】msom-theory-development
