Organizational change and job redesign in integrated manufacturing: A macro organizational to micro-organizational perspective
Bibliographic record
Abstract
Summary form only given. Integrated manufacturing's (IM) specific flexibility provides a spectrum of alternatives for its utilization in organizations. This article presents some of the relationships between IM and macro/micro organizational characteristics. One of the most important elements is the definition of a coherent strategy at the highest organizational levels. In the case of a dependent organization, the IM strategy must be organically linked with the corporate strategy. In spite of being evident, studies show that this approach to IM is not always followed. The IM implementation strategy, defined along the lines of the corporate strategy, would attempt to estimate the magnitude of the changes needed in the organization, their costs and time of implementation based on present organizational characteristics, such as: size, performance, culture, structure, human resource practices, skill level of employees and other factors (presence of unions, for example). As organic structures can amplify the flexibility and speed of response of an organization, management should consider the flexibility-oriented design strategy as a better alternative for the IM implementation than control oriented paradigms.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".