From jbv-skills
Guides research design for Journal of Business Venturing manuscripts, matching methods to entrepreneurial questions and addressing selection, survivorship, and novel-dataset issues.
How this skill is triggered — by the user, by Claude, or both
Slash command
/jbv-skills:jbv-methodsThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
- You are choosing a design and unsure which fits a venture-creation question
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 uncertainty | Experiments, conjoint/policy-capturing, vignettes (Prolific/lab) |
| Antecedents/consequences across many ventures | Archival venture panels (Crunchbase, PitchBook, GEM, KFS, PSED) |
| Founding choice, exit, IPO, failure | Survival/event-history; selection models |
| Financing signals (VC, crowdfunding) | Field/natural experiments, panel with funding events |
| Theory-building plus generalization | Mixed methods (qual to build, quant to test) |
The Editorial Manager workflow lets you attach a MethodsX article (detailed protocol) or Data in Brief descriptor on the "Attach files" page — useful for novel measures, hand-coded datasets, or experimental protocols.
| Pushback at the design stage | JBV-specific fix |
|---|---|
| "Cross-sectional, yet you theorize a venturing process." | Re-design with staged measurement or a pre/post shock; a single wave cannot carry a process claim. |
| "The construct is general-management ability relabeled." | Anchor the manipulation/measure to a venture primitive and show discriminant validity from it. |
| "Your sample is whoever survived to be observed." | Push the frame upstream to nascent/registry data capturing pre-founding and failed ventures. |
| "A novel hand-coded dataset — why trust the frame?" | Document construction, inter-coder reliability, and coverage; consider a MethodsX/Data in Brief co-submission. |
A hypothetical JBV study claims perceived environmental uncertainty causes founders to evaluate ambiguous opportunities more favorably. Design reasoning:
【Question→design fit】design chosen + why it fits the entrepreneurial claim ...
【Selection】founding-choice strategy ...
【Survivorship/attrition】sampling-frame handling ...
【Data novelty】construction + coverage + frame ...
【Temporal precedence】how ordered in time ...
【Artifacts】MethodsX / Data in Brief? ...
【Next step】jbv-data-analysis
npx claudepluginhub brycewang-stanford/awesome-journal-skills --plugin jbv-skillsHelps design and defend research methods for Entrepreneurship Theory and Practice (ETP) manuscripts, addressing selection bias, survivorship, and process observation issues in new venture studies.
Runs and reports statistical analysis for JBV entrepreneurship manuscripts, selecting estimators (survival, selection, panel, experiment) and addressing survivorship, attrition, and endogeneity.
Guides selection and defense of research designs for Organization Science manuscripts, matching qualitative, quantitative, experimental, or simulation methods to the research question and level of analysis. Addresses reviewer demands for causal inference.