jbv-methods
Use when designing or defending the research design for a Journal of Business Venturing (JBV) manuscript — matching a methodologically pluralistic but theory-first approach (venture panels, experiments, qualitative process work, mixed methods) to an entrepreneurial question, and handling selection, survival, and novel-dataset issues. Designs the study; it does not estimate it (jbv-data-analysis) or frame the contribution (jbv-contribution-framing).
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jbv-methods --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.
# Methods & Research Design (jbv-methods) ## When to trigger - You are choosing a design and unsure which fits a venture-creation question - The design may not let you observe the entrepreneurial process you theorize - A reviewer flags selection into entrepreneurship, survivorship bias, or sample novelty - You are weighing qualitative process work, experiments, archival venture panels, or mixed methods ## JBV is methodologically pluralistic — but theory-first JBV prizes a clear, substantive **theoretical contribution to entrepreneurship** over any single method. Well-executed qualitative, conceptual, quantitative, and mixed-method studies are equally welcomed; the unifying demand is that the work advance theory about the entrepreneurial phenomenon, not merely apply a method. Choose the design that can actually test or build your theory: | Entrepreneurial question / claim | Fitting design | |----------------------------------------------------------|-------------------------------------------------------------------| | Process of how ventures emerge / sensemaking | Inductive qualitative (Gioia, process), longitudinal case studies | | Entrepreneurial judgment / cognition under uncert
- When to trigger
- JBV is methodologically pluralistic — but theory-first
- Design issues specific to the entrepreneurial setting
- Co-submission of method artifacts
- Execution bridge (StatsPAI / Stata MCP)
- Checklist
- Design referee-pushback patterns and the JBV-specific fix
- Worked micro-example (illustrative)
- Calibration anchors (hedged)
- Anti-patterns
- Output format
What does the jbv-methods skill do?
Use when designing or defending the research design for a Journal of Business Venturing (JBV) manuscript — matching a methodologically pluralistic but theory-first approach (venture panels, experiments, qualitative process work, mixed methods) to an entrepreneurial question, and handling selection, survival, and novel-dataset issues. Designs the study; it does not estimate it (jbv-data-analysis) or frame the contribution (jbv-contribution-framing).
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jbv-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.