Spanning the boundaries through creative deployment of social capital
Bibliographic record
Abstract
This paper examines the role played by the structural dimension of organizational social capital in exploring developmental opportunities available to Russian SMEs. The study presents an analysis of horizontal and vertical relational ties established and maintained by traditional small and medium-sized firms in order to grow their business. Statistical analysis of 71 SMEs shows that horizontal bridging relations support and enhance SME development, and increase the likelihood of SME internationalization. Environmental uncertainty also contributes to SMEs involvement in building extensive business networking. Supplementary follow-up interviews were conducted with the owners and managers of SMEs to advance the results of hypotheses testing. The findings indicate that the boundary-spanning effect of bridging ties is consistent across both emerging and developed economies. SMEs use their bridging relations as resource-accumulating tool that may gradually lead to internationalization. Horizontal ties support collaboration with business partners and customers, and vertical ties provide stability in risky and uncertain environment. This study contributes to the growing body of social capital research highlighting the important role played by bridging connections in supporting SME resourcing and development across multiple industry settings, and in various types of economic conditions.
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How this classification was reachedexpand
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.026 | 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; both teacher heads agree on what is shown here.
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".