Managing an entrepreneurial marketing orientation in turbulent competitive business environments
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
Mixed prior findings exist concerning the relationship between an entrepreneurial marketing orientation (EMO) and small-to-medium-sized enterprises’ (SMEs’) performance. This is a problem, since the performance-enhancing circumstances remain unclear concerning the utility of decision-makers employing EMO behaviours. This study unpacks the relationship between an EMO and SMEs’ performance under the moderating role of market dynamism. Survey responses were collected from 916 SMEs in Malaysia, and all major robustness checks were addressed. The findings showed that consistent with much of the existing research, an EMO drove SMEs’ performance. In contrast, this link was positively moderated by market dynamism (a counter-intuitive result). Consequently, this investigation offers unique insights regarding the circumstances where effectively managing an EMO is likely to assist SMEs to yield enhanced performance across dynamic markets. Furthermore, improved evidence is provided about the outside-the-firm perspective of resource-based theory, as a lens to conceptualise the nuances of EMO practices in turbulent environments.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| 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