Vision Crisis and Change Management in a Rapidly Changing World
Bibliographic record
Abstract
The purpose of this study is to investigate and discuss current literature on crisis management within organisational settings. The key characteristic of a crisis is that you cannot control it that’s why they call it crisis “management”. In order to be able to manage crises effectively and it sets out a framework for the decision-making process should understand the steps of effective crisis management. The results of this paper indicate that the impact of the global crisis is being driven by the country’s high dependence on management of a financial crisis which led to regulation is rising and is creating new challenges that need managing. It is hoped that the study will be able to fill the gap in research in the area of crisis vision and change management regulation due to the limited literature on this area in emerging countries. Knowledge of effective crisis management policy is a significant in terms of providing an in-depth understanding of how decision-making can deal with crises. Further study in this area would be beneficial in helping management organisations to manage crises effectively.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.014 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".