Miles and Snow Typology: most influential journals, articles, authors and subject areas
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose The purpose of this paper is to find out the most influential journals, articles, authors and the subject areas where Miles and Snow typology is used. The study identifies the opportunities for future research as well. Design/methodology/approach Review is based on 196 journal articles selected through a systematic and rigorous search process from the four databases: ProQuest, Business Source Complete, Willy and Science Direct. Total Citation, threshold citations, fractional citation and citation per year techniques are used for analyses. Findings Strategic Management Journal (SMJ), Academy of Management Journal (AMJ) and Journal of Marketing (JOM) are the most influential Journals. The most influential and prolific articles on the subject are from Hambrick (1983), Conant et al. (1990), Doty et al. (1993), Sabherwal et al. (2001), Desarbo et al. (2005) and Fiss (2011). Management, strategic management and marketing are the most studied subject areas. Originality/value Although there have been many reviews of the literature on this typology, the systematic review on Miles and Snow typology to find out the most influential journals, authors, articles and subject area has not been done before.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it