Intellectual Capital In Mexican SMEs From The Perspective Of The Resource-Based And Dynamic Capabilities Views
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
<p>This paper combines the resource-based and dynamic capabilities views to examine intellectual capital in Mexican small and medium enterprises (SMEs) and its relation to competitive advantage. Following an exploratory approach, this paper relies on face-to-face interviews with managers to take an in-depth look at the three components of intellectual capital: human, organizational, and relational capital. Further, a SME typology is proposed and the examined companies are categorized accordingly. Dynamic SMEs have instituted internal and external processes to respond rapidly to change, allowing them to sense opportunities and threats and subsequently benefiting from competitive advantages. This analysis can help both managers and policymakers put appropriate programs in place to encourage SME development and growth by identifying the impact of intellectual capital. The generalizability of the results is limited by the small sample size and the focus on one geographic region in Mexico. This study contributes to the limited literature on intellectual capital in SMEs in emerging markets. Moreover, very few papers have analyzed intellectual capital from the perspective of the dynamic capabilities view.</p>
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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