Bibliographic record
Abstract
This paper presents research findings on Competitive Strategy Implementation which compared the levels of strategy implementation achieved by different generic strategy groups, comprising firms inclined towards low cost leadership, differentiation or dual strategic advantage. The study sought to determine the preferences for use of implementation armaments and compared how such armaments related to the level of implementation achieved. Respondents comprised 71 top executives from 59 companies among the top 300 private sector firms in Kenya. SPSS software was used to conduct t-test, ANOVA, and multiple linear regression analysis, to within 95% confidence interval or 5% statistical significance. The results indicated that there was no significant difference between the levels of strategy implementation achieved by any pair set of the three strategic groups. The study revealed that the predictors of strategy implementation include the firm’s capacity to overcome resistance to change, having incentives based on meeting strictly quantitative targets, adopting a win-lose competitive posture, its effectiveness in strategy implementation, and the environmental rate of change. The results also indicated that there was no significant difference between the preferences for use of either win-lose or win-win competition by any pair set of the strategic groups.
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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 | 0.003 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".