THE EFFECT OF CORPORATE FRUGALITY ON CRISIS PREPAREDNESS: THE MEDIATING ROLE OF ENTREPRENEURIAL ORIENTATION
Bibliographic record
Abstract
This study explores relationships between Corporate Frugality (CF), Entrepreneurial Orientation (EO) and Crisis Preparedness (CP). CP was proposed as the surrogate measure for firm performance during actual crises. EO is also examined as a potential mediator in the CF-CP association. The hypotheses were tested using partial least squares structural equation modeling with data collected from randomly selected small businesses operating in the Tripolitania region of northwestern Libya during the current economic instability caused by civil unrest. Further, COVID-19 pandemic cases had significantly risen among the population at the time of the study. The findings show that CF can be instrumental in responding to market crisis requirements, while innovativeness only results in better CP and partially mediates the CF-CP association. These findings validate the CF construct, but entrepreneurs must cautiously proceed when exercising EO in response to crises. Furthermore, the study casts new light on how the association between EO dimensions and performance can differ across contexts. Building on the resource-based view and pecking order theory and integrating them with contingency theory, this study is the first to explore the effect of EO and its dimensions as the mediator between CF and CP.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".