Financial Innovation Strategy and Financial Performance of Deposit Taking Sacco’s in Nairobi City County
Bibliographic record
Abstract
Deposit taking SACCO’s continue to play a significant role in the lives of the poor in Kenya by responding to their needs, concerns and voices by providing easy access of financial services. Financial inclusion is seen as a solution to include on a large-scale previously excluded poorer groups without access to capital into the financial system. The objective of the study was to determine the effect of financial innovation strategy on performance of savings and credit co-operative society in Nairobi City County. The study was guided by open systems theory, financial intermediation theory and the Life cycle of saving theory. This study adopted both descriptive research design and causal research design. The study population comprised of the 40 registered deposit taking SACCO’s in Nairobi County and the study used descriptive inferential analysis of data collected. The study identified that financial innovation was significant in increasing financial performance of SACCO’s. The study concluded that firms that have not effectively implemented financial innovation may fail or collapse or otherwise can be absorbed by other well managed SACCO’s. The study recommended the need to invest in financial innovation strategy to reduce cost and increase efficiency in the sector.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 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".