The effects of absorptive capacity on competitive intelligence in a turbulent market
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
The business environment of small and medium-sized enterprises’ (SMEs) is becoming increasingly unstable and unpredictable because of fierce competition and a turbulent marketplace. This study examines the role of absorptive capacity as an antecedent of competitive intelligence and assesses the moderating effects of market turbulence and competitive intensity in this relationship. Data were collected from 140 manufacturing firms in Quebec and analysed by using partial least squares structural equation modelling (PLS-SEM). The results reveal that absorptive capacity positively influences competitive intelligence; moreover, market turbulence and competitive intensity are conditional factors that affect competitive intelligence activity. Directions for future research and managerial implications are further discussed.
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.004 |
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