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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".