The Path of Most Persistence: An Evolutionary Perspective on Path Dependence and Dynamic Capabilities
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 paper extends the dynamic capability view and research on organizational path dependence by arguing that path dependence can be a property of capabilities when a contingently-triggered capability path is subject to self-reinforcement (i.e. a set of positive and negative mechanisms that increases the attractiveness of a path relative to others). The paper introduces an evolutionary perspective, which specifies the underlying selection mechanisms of the property of path dependence in internal and external firm environments. This theorization sheds new light on three paradoxes that currently blur the theoretical contribution of path dependence to research at the managerial, organizational, and industry levels: (1) the problematic coexistence of path irreversibility and managerial intentionality; (2) the ambivalent strategic value of lock-in with regard to competitive advantage; and (3) the relative homogeneity in observed dynamic capabilities, despite their (possible) path dependence that should lead to a wider variety of outcomes owing to the presence of contingency. We highlight the contributions of this perspective to strategic management research and evolutionary theories.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it