From entrepreneurship-theory-and-practice-skills
Helps design and defend research methods for Entrepreneurship Theory and Practice (ETP) manuscripts, addressing selection bias, survivorship, and process observation issues in new venture studies.
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/entrepreneurship-theory-and-practice-skills:etp-methodsThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
- You are choosing a design and unsure it can observe the entrepreneurial process you theorize
ETP publishes strong quantitative, qualitative, and mixed-methods work; it has no single preferred method. The constant is that the design must let you build or test entrepreneurship theory and that it confronts the inference problems that are endemic to studying new ventures. Choose the design that can actually observe the mechanism, then design against the entrepreneurship-specific threats below — these are the things ETP referees reflexively probe.
| Entrepreneurial question / claim | Fitting design |
|---|---|
| How ventures/opportunities emerge; sensemaking; identity work | Inductive qualitative (Gioia, process), longitudinal cases |
| Founder decision logic / cognition under uncertainty | Experiments, conjoint / policy-capturing, verbal protocols |
| Antecedents/consequences across many ventures | Archival venture panels (Crunchbase, PitchBook, GEM, PSED/KFS, registries) |
| Founding, exit, IPO, failure, time-to-event | Survival / event-history models |
| Financing signals (VC, angels, crowdfunding) | Field/natural experiments; panels with funding events |
| Family-firm behavior (SEW) | Survey + archival; sometimes dyadic/family data |
| Theory-building plus generalization | Mixed methods (qual to build, quant to test) |
For inductive work, ETP expects a visible trustworthiness apparatus: a clear data structure (1st-order codes → 2nd-order themes → aggregate dimensions), an audit trail, representative quotations tied to informants, and a process model as the output. Sampling logic (theoretical, not convenience) and saturation should be argued. A rich story without this scaffolding reads as journalism to a methods-attentive ETP reviewer.
A study claims that founders' prior startup failure causes faster pivoting in their next venture, using a panel of funded startups.
An ETP methods reviewer sees three traps at once. Survivorship: the panel only includes ventures that secured funding and survived long enough to be observed pivoting — failures that died before pivoting are invisible, so "failure speeds pivoting" may be an artifact of who survived. Selection: founders who start again after failure differ systematically from those who quit; the comparison is not random. Temporal precedence: pivoting must be measured after the prior-failure exposure, not concurrently.
The design fix moves the frame upstream to a nascent/registry panel (PSED-style) that captures ventures from formation regardless of survival, models the founding/restart decision (Heckman or a design-based shock to who restarts), and times the pivot measurement strictly after the failure.
Only then does the antecedent claim survive — and the analysis hands off to an event-history model in etp-data-analysis.
【Journal】Entrepreneurship Theory and Practice
【Question→design fit】design + why it observes the entrepreneurial mechanism
【Selection】founding-choice strategy (model / design-based / N/A + why)
【Survivorship/attrition】sampling-frame handling
【Temporal precedence】how constructs are ordered in time
【Construct validity】scale + reliability + discriminant evidence
【Qual rigor】data structure / audit trail / saturation (if applicable)
【Next skill】etp-data-analysis
npx claudepluginhub brycewang-stanford/awesome-journal-skills --plugin entrepreneurship-theory-and-practice-skillsGuides research design for Journal of Business Venturing manuscripts, matching methods to entrepreneurial questions and addressing selection, survivorship, and novel-dataset issues.
Guides users in selecting and justifying research design for Organization Studies manuscripts, covering qualitative/ethnographic/process/historical/quantitative methods with rigor standards required by OS reviewers.
Matches research design to MIS Quarterly manuscript tradition: behavioral, economics-of-IS, design science, or qualitative. Plans evaluation strategies and guards against validity threats.