Family Matters: Dual Network Embeddedness, Resource Acquisition, and Entrepreneurial Success of Small Tourism Firms in Rural China
Bibliographic record
Abstract
Small tourism firms (STFs) established and operated by local families can be an engine of sustainable rural tourism. This paper stresses the intimate intertwining of family and business in rural STFs and conceptualizes their entrepreneurial success as a combination of business performance and family well-being. Integrating the resource-based view and network embeddedness theory, relationships among the STF owners’ dual social networks (family and industry networks), entrepreneurial resource acquisition, and entrepreneurial success are proposed and tested with a sample of 276 STFs in rural China. The empirical analyses reveal that (1) compared with tangible and knowledge-based resources, the owners’ acquisition of psychic resources has the strongest effect on entrepreneurial success; and (2) although industry networks provide more diverse access to entrepreneurial resources, family networks are superior in facilitating psychic resource acquisition, thus are especially important to the entrepreneurial success of rural STFs. Theoretical and practical implications are discussed.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".