Strategic Approach of Saudi Small and Medium-Sized Enterprises: More of Emergent or Deliberate?
Bibliographic record
Abstract
The impact of the strategic planning, especially in promising economies are significant indicators of success for the small and medium-sized enterprises (SMEs). Globally, the SMEs sector suffers from a very high failure rate and the most important reason for this is poor capacity in strategic management. The practice of SMEs in unstable environments, especially in oil-based economy like Saudi Arabia (SA), creates the need for more flexibility in building strategies. Therefore, as the aim of this study was to structurally examine the type of strategic management in SMEs, the adaptation of a high flexibility strategic theoretical framework based on the emergent strategy model by Mintzberg might be more suitable for SMEs’ needs and capabilities. In this research, forty-six SMEs were surveyed in SA. Unlike most previous research, whose variables focused on external issues (such as funding issues or government policies), this study focuses on internal issues (such as internal capabilities) that influence the choice of strategy in SMEs. Correlation and factor analysis were used because the data set was appropriate for factor analysis as the KMO value was greater than 0.50. The research concluded that SMEs tend to adopt a deliberate strategy more than the emerging strategy.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".