Market orientation and market strategy profiling: an empirical test of environment‐behaviour‐action coalignment and its performance implications
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
Organizational performance is greatly influenced by employee behaviours and the resulting market orientation that they possess. Market orientation is a behavioural culture that affects strategy formulation and strategy implementation, and how an organization interacts with its environment and adjusts to changes within that context. The relationship between market orientation and performance is robust across several environmental contexts that are characterized by varying degrees of market turbulence, competitive intensity, and products/services introduction rates. This study identifies co‐aligned market orientation and strategy profiles corresponding to unique competitive contexts that represent best practices for an organization seeking to maximize performance in a high technology environment. This relationship becomes dynamic when one considers the assertion that organization culture is synonymous with strategy and the evidence that the external environment affects organizational culture. As a result, the ability to profile ideal orientations will have significant strategic and performance implications for organizations that will contribute to the development of a sustainable competitive advantage.
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 | 0.000 | 0.000 |
| 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) | 0.002 | 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