An Assessment of Resource-Based Theorizing on Firm Growth and Suggestions for the Future
Why this work is in the frame
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Bibliographic record
Abstract
Together, Penrosean and Barnean resource-based logic make up the dominant theoretical approach to understanding firm growth. While extant literature focuses on a common lineage between Penrosean theory and the resource-based view (RBV), we explicate divergence at these origins of resource-based theorizing and subject the growth implications of each to meta-analytic testing. RBV’s central tenets concern resources that meet valuable, rare, inimitable, and nonsubstitutable (VRIN) criteria, while Penrose’s theory discusses the versatility of resources. Theoretically, VRIN resources allow firms to exploit unique opportunities, while versatile resources allow firms to recombine resources in novel ways to create growth. Using meta-analytic techniques, we find that versatile resources are associated with higher levels of growth, whereas VRIN resources are not. We offer novel insights into alternative characteristics of resources derived from the same conceptualization of the firm, add greater specificity to the performance construct, and open up avenues for new theorizing on firm growth that is more closely aligned with Penrose’s theory.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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