TQM and Performance Linkage in the Microfinance Institutions: The Mediating Role of IT Capability
Bibliographic record
Abstract
The link between Total Quality Management (TQM) and organizational performance measures has become of great interest to both researchers and practitioners alike during the last decade. However, a thorough literature review has revealed such relationship is not being studied in the microfinance institutions and, furthermore, on the effect on Information Technology (IT) capability of such relationship. This paper is written based on a study done to examine the nature of such relationship that revealed the mediating effect of IT capability in the relationship between TQM and the performance of Microfinance banks in Yemen. The study was conducted in 2014 using a questionnaire survey covering 78 branch managers. Using Smart Partial Least Squares (PLS), the results provide a significant relationship between TQM and microfinance institutional performance and also a significant mediating effect of IT capability on the relationship. The elements representing the variables under study are presented and some practical suggestions and contributions are highlighted in the conclusion.
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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 | 0.007 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".