Bibliographic record
Abstract
Abstract In strategic management, an impressive body of literature on turnaround has accumulated over the last three decades; however, the topic remains largely idiosyncratic and open‐ended. Based mainly on the tenets of the life‐cycle family of process theory, this paper presents a composite four‐stage model that unfolds the dynamics of turnaround and provides a basis for the development of a theory on which to draw further. By categorizing the elements of turnaround as three critical requirements–incidents, events, and concepts–the model explains how the elements germane to each stage, when combined, facilitate the progression from a crippling deterioration in performance to an enduring success or to an eventual death. An analysis of the turnaround of Chrysler Corporation provides preliminary support for the model. The model's implications for theory, research, and practice are also given. Résumé Au cours des trois dernières décennies, un nombre impressionant d'études portant sur le redressement des entreprises ont été menées en gestion stratégique. Toutefois, ces études demeurent dans l'ensemble très subjectives et manquent un encadrement méthodique très rigoureux. La présente étude, en prenant pour base certains postulats de la théorie du processus de la famille du cycle de vie, propose un modèle à quatre étapes pour analyser le processus de redressement d'entreprise. Ce modèle pose les premiers jalons d'une théorie qui peut faire l'objet d'études ultérieures plus approfondies. En définissant les trois étapes constitutives d'un redressement, à savoir les incidents, les événements, et les concepts, notre modèle explique comment les éléments propres à chaque étape, une fois combinés, facilitent le passage d'une performance médiocre à un succès stable, ou à une mort éventuelle dè l'entreprise. L'étude du redressement de la compagnie Chrysler constitue l'illustration préliminaire du modèle. Enfin, nous discutons l'apport possible du modèle pour la théorie, la recherche et la mise en pratique des redressements d'entreprise.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.009 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 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 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".