Assessing the Success of ICT’s from a User Perspective: Case Study of Coffee Research Foundation, Kenya
Bibliographic record
Abstract
The study was conducted to validate the application of DeLone & McLean’s Information System (IS) success model (2003) in a local setup in Kenya and to evaluate the success of an enterprise resource planning (ERP) system from a user perspective. It was carried out at Coffee Research Foundation (CRF) in Kenya. A number of past studies to measure the success of information systems in different settings were reviewed leading to the choice and use of the updated DeLone & McLean IS success model in this study. The research involved the use of questionnaires as well as interviews and focus group discussion (FGD). A number of hypotheses were formulated and tested and the results indicated that the updated DeLone & McLean’s IS success model was valid as a useful model for this particular study. The study also indicated that the variables system quality, information quality, and service quality stood out as critical determinants of how information and communication technology systems can be used to improve organizational performance.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".