Case of Civic Company: The Implementation of Enterprise Resource Planning
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<p>Many researches before has been completed their research on this topic and many researcher point out this question of misfits between company processes and enterprise systems. This research will look like a slice of the puzzle. When companies should modify their ERP and when companies should modify their processes of business. We are using theorical framework (existing) to impact of technology over companies, this discussion will go towards business strategy and technology fits and misfits. On enterprise resource planning before researches has been conducted, but this research will contribute in-depth study of Enterprise resource planning and it will help and provide advices to managers and academics, would dismiss (local level) complaint of ERP (enterprise resource planning)-driven process changes out of hand. And this article is applying theory (Rockart &amp; Scott Morton Model) for the purpose of evaluating the knowledge of ERP-driven changes to Processes of Company’s business.</p>
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| 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