Caudal autotomy as a managerial tool in the change processes involved in organizational behavior
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
This study uses the metaphor of caudal autotomy - the ability of some animals to shed their tails to evade predators - to investigate the role of strategic flexibility in managing organizational change. The research explores the concept of 'organizational autotomy', where parts of a company are selectively detached to enhance overall survival and adaptability amidst turbulent market environments. We examine diverse organizations and their responses to significant industry shifts, economic challenges, or internal crises. This study was based on the studies of El Kadi & Pelekais (2014) and Nelson, Quick, Armstrong, Roubecas, Condie. (2020). The findings indicate that successful 'organizational autotomy' relies on three key factors: Proactive identification of detachable elements, efficient execution of detachment, and a robust regrowth plan for post-detachment sustainability. This paper, thus, presents a novel perspective on organizational adaptability and resilience, providing valuable insights for leaders, managers, and change agents. Future research directions include quantifying the impacts of 'organizational autotomy' and establishing best practice guidelines for its implementation.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.014 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.003 |
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