Best practices in e‐business process management
Why this work is in the frame
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Bibliographic record
Abstract
In formulating e‐business strategies enabled by the Internet and WWW, parallels can be drawn from the viewpoint on process enabled by desktop and centralized computing in the 1990s, and that of present day. In this paper, the cornerstone of 1990s thinking on process, Hammer and Champy's nine best practices, are analyzed to apply for e‐business process management (e‐process management). For instance, Hammer and Champy's first principle is re‐stated as “[o]rganize around business rules (some combined tasks can be performed by stakeholders using interfaces accessed via the WWW)”. One finding is that checks and controls may not need to be reduced – as Hammer and Champy espouse – if they are perceived as valuable and can be performed inexpensively using Internet technologies. This work evolves the traditional re‐engineering framework to use in current e‐business realities; it can be applied to formulate e‐business strategies that are rooted in more traditional, and vetted, management thinking.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.011 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.008 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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