The resource‐based view revisited: Comparative firm advantage, willingness‐based isolating mechanisms and competitive heterogeneity
Bibliographic record
Abstract
Abstract We take a step beyond the resource‐based view that resource characteristics (i.e., valuable, rare, inimitable and non‐substitutable) are the sole basis for isolating mechanisms. Instead, we apply Ricardo's principle of Comparative Advantage in a two‐firm, two‐product scenario to show how additional isolating mechanisms can result from economic incentives that provide managers with distinct strategic choices. Specifically, our analysis indicates that managers' strategic decisions based on comparative firm advantage (CFA) affect their willingness to imitate competitors, even when their firms are fully capable of such imitation. This willingness, in turn, helps to determine the direction of firm expansion. We discuss how Ricardo's CFA logic can provide specific guidance for managers regarding effective firm strategies in specific comparative advantage situations by factoring in both internal efficiencies and competitive pressures when designing and implementing rent‐seeking strategies.
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.
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 | 0.009 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.008 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".