A Knowledge-Based Framework to Manage Flexibility in ERP Systems
Why this work is in the frame
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Bibliographic record
Abstract
The need for flexibility in organisations and information systems has long been recognised. Much research has been conducted to understand the flexibility concept in various types of information systems. Comparatively less research has been conducted to understand the process of managing flexibility in enterprise resource planning (ERP) systems. This paper focuses on developing a conceptual framework for managing flexibility in ERP systems emphasising the need for a match between external and internal flexibilities. The application of the framework is illustrated with a case example. The framework is intended to understand ERP systems' flexibility enabled organisational performance. The framework will provide a basis to assess the impact of ERP systems' flexibility on organisations, to measure the internal and external flexibilities of ERP systems and to develop guidelines to manage flexibilities for ERP systems.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it