Farmers’ strategic responses to competitive intensity and the impact on perceived performance
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
Abstract A large percentage of small- and medium-sized farms have ceased operations in the last 2 decades in part due to their inability to respond to increased competitive intensity. Consequently, the strategic responses farmers adopt to competitive intensity are important to understand as they may influence performance and ultimately their survival. Based on a sample of 388 randomly selected farmers in Sweden and using structural equation modelling, we find that as perceptions of competitive intensity increase, so does their market orientation (MO) and lean production orientation (LPO), but not entrepreneurial orientation (EO). Moreover, we find that farmers who indicate greater (in order of importance) MO and LPO report better overall performance, while increased EO surprisingly contributes negatively to performance. Our findings contribute to the limited body of research on strategic responses to competitive intensity in the agricultural sector and subsequent payoff on farm performance.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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