jbv-topic-selection
Use when shaping or stress-testing a research question for the Journal of Business Venturing (JBV) — confirming the entrepreneurial phenomenon is central, picking a multidisciplinary lens, and checking fit before investing in theory or data. Defines the question; it does not build the mechanism (jbv-theory-development) or frame the contribution (jbv-contribution-framing).
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jbv-topic-selection --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Topic Selection & JBV Fit (jbv-topic-selection) ## When to trigger - You have an idea or a dataset but are unsure it belongs in JBV rather than a general management or strategy outlet - A co-author asks "is this really an entrepreneurship paper?" - You want to pick which disciplinary lens (economics, psychology, sociology) drives the question - A desk reject said the work is "off-topic" or "entrepreneurship is incidental" ## The JBV fit test JBV publishes research on the **entrepreneurial phenomenon in its myriad of forms** — the antecedents, mechanisms, and consequences of entrepreneurship. Before anything else, pass this gate: - **Centrality**: Is the creation of new ventures or new economic activity (or entrepreneurial cognition, behavior, financing, teams, social/sustainable/international entrepreneurship, or ecosystems) the heart of the contribution? If entrepreneurship is merely the empirical setting for a general theory of organizations, JBV is the wrong venue — that distinction is the single most common desk-reject reason at this FT50 flagship. - **Phenomenon, not method**: The question must matter for understanding entrepreneurship, not exist to showcase a dataset or tec
- When to trigger
- The JBV fit test
- Sharpening the question
- Domain sweep (common JBV territories)
- Checklist
- Fit triage and venue routing
- Worked micro-example: a fit decision (illustrative)
- Calibration anchors (hedged)
- Anti-patterns
- Output format
What does the jbv-topic-selection skill do?
Use when shaping or stress-testing a research question for the Journal of Business Venturing (JBV) — confirming the entrepreneurial phenomenon is central, picking a multidisciplinary lens, and checking fit before investing in theory or data. Defines the question; it does not build the mechanism (jbv-theory-development) or frame the contribution (jbv-contribution-framing).
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jbv-topic-selection --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.