Influence of Financial Flexibility on Performance of State-Owned Sugar Manufacturing Corporation Projects in Western Kenya
Bibliographic record
Abstract
This study examined the influence of financial flexibility on performance of State sugar manufacturing corporations in Kenya. The study was guided by Modigliani and Miller’s capital structure model mainly (trade-off, pecking order and agency cost) theories, and was based on pragmatic paradigm which provides for the use of both qualitative and quantitative research methodologies. It targeted a population of 1,145 people, drawn from employees of State sugar corporations, and used a sample size of 291, obtained from Krejcie and Morgan's (1970) Table. A structured questionnaire and interview guide were used to collect data. SPSS version 25 was used to analyse data and Hypothesis was tested at a=0.05 significance level. Pearson’s correlation and linear regression analysis showed a positive correlation between the variables (p = 0.000 < 0.05), implying that financial flexibility significantly influences the performance of State sugar firms. It was recommended that, to enhance financial flexibility in State sugar corporations, the Government should focus on strategies that help reduce costs, improve revenue generation, and strengthen financial management practices.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".