A step-by-step process for bringing generative AI into case study research while keeping the researcher in charge of design, boundaries and interpretation.
Robust, reflective, resplendent, radical, relevant, righteous — how to instruct AI to produce keywords, codes and themes you can actually defend.
Yes — if the AI is familiarised with your research context and guided at every step. The published process, including what to give the AI before it sees a single transcript.
Perspectivation, Recapitulation, Integration, Crystallisation, Edification — how five analytical processes make saturation something you demonstrate, not assert.
Saturation is about how fully you use your data, not how many people you interviewed. The PRICE model gives you a defensible answer for reviewers and examiners.
Both are legitimate — but they answer different needs. If your examiners expect a theoretical contribution presented as a conceptual model, here is why a systematic, auditable process helps.
STA is a six-step process that turns qualitative data into a named conceptual model. This guide walks through every step with examples from a real published study.
A fourth research logic has been published for the age of AI — coding as a dialogue between human theory and machine discovery — and a new paradigm for exploring what we do not yet know.