Agent skill · Design & Presentation

jom-methods

Use when choosing and defending the research design for a Journal of Operations Management (JOM) empirical study — matching survey, archival/secondary, field, case, experimental, or intervention-based research to the operations question, anticipating the Empirical Research Methods Department's method check, and keeping the design observation-grounded rather than analytical.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jom-methods --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 7 KB
Bundled scripts: none
Path: Journal-of-Operations-Management-Skills/skills/jom-methods/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Research Design for Empirical OM (jom-methods) ## When to trigger - You must pick a design that can actually test your operations hypotheses - A reviewer questions whether the method fits the operations phenomenon or the level of analysis - You are weighing a behavioral lab experiment vs. archival panel vs. survey vs. field/intervention - You anticipate the **Empirical Research Methods Department** method check on incoming submissions ## JOM's empirical-only design space JOM publishes empirical OM research and **does not** publish purely analytical models or optimization techniques. Every design must rest on **observation**. The native JOM design families are: | Operations question / claim | Design | |--------------------------------------------------------------|---------------------------------------------------------------| | Perceptions, practices, constructs across firms/plants | **Survey** (validated multi-item scales; multi-respondent) | | Cause–effect on operational outcomes from secondary data | **Archival/secondary** panel (recalls, inventory, supply ties)| | Human operational decisions, biases, incentives | **Behavioral-OM experiment** (lab/online, manipulation checks)

What's inside
Steps it walks through
  1. When to trigger
  2. JOM's empirical-only design space
  3. Match design to claim and level
  4. Intervention Based Research (a JOM-distinctive genre)
  5. Pre-empt the Empirical Research Methods check
  6. Execution bridge (StatsPAI / Stata MCP)
  7. Anti-patterns
  8. Design-defense checklist the methods check applies
  9. Desk-reject and return triggers on design
  10. Worked vignette: archival vs. field for a quality-practice question
  11. Design objections and the JOM-grounded response
  12. Output format
More from Awesome-Journal-Skills
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About this skill
What does the jom-methods skill do?

Use when choosing and defending the research design for a Journal of Operations Management (JOM) empirical study — matching survey, archival/secondary, field, case, experimental, or intervention-based research to the operations question, anticipating the Empirical Research Methods Department's method check, and keeping the design observation-grounded rather than analytical.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jom-methods --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going