Factors Influencing the Success of ERP System Implementation in the Public Sector in the Kingdom of Bahrain
Why this work is in the frame
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Bibliographic record
Abstract
<p>This study aims empirically to analyze the critical factors that impact the success of ERP system implementation in the public sector in the Kingdom of Bahrain and to clarify the benefits gained from the implementation. The study used a detailed questionnaire as a measuring instrument across the sample group to measure two main variables, the first being critical success factors (CSFs), and the second whether ERP implementation was successful or not. The CSFs are top management commitment and support, ERP system matching organization, business process re-engineering, vendor support, and training users.</p>Those factors found to have a significant impact on ERP system implementation and the results illuminate the high level of success in implementing ERP systems. While simultaneously demonstrating that an organization with a functioning ERP system does not achieve the desired benefits by default, but rather the organization requires certain Critical Success Factors (CSFs) to be present and in effect for those benefits to be achieved.
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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 | 0.000 | 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 it