Strengthening Organizational Change Processes
Bibliographic record
Abstract
Although the existing organizational change literature identifies the steps in organizational change, it has not conceptualized those steps to provide a comprehensive process model. In particular, the relationships between the change process at the organizational level and the change processes at the inherent individual and group levels have not been fully described. Using a case study and related data from a major organizational change effort in a corporate audit department of a U.S. bank, this article explores change processes by answering two questions: (a) What constitutes a comprehensive change process as initiatives move from the organizational level to the group and individual levels of implementation? and (b) What does an analysis of the individual and group change processes in large scale organizational change add to our understanding of organizational change processes? This article proposes a more detailed and complete change process model and provides further insight into the differences and transition among the change processes at the individual, group, and organizational levels.
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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 | 0.047 | 0.105 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.006 | 0.011 |
| Scholarly communication | 0.012 | 0.013 |
| Open science | 0.003 | 0.017 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".