The role of spirituality in Islamic business networks: The case of internationalizing Turkish SMEs
Bibliographic record
Abstract
This paper sets out to investigate the role of religion and spirituality in a business network context, with an empirical focus on the international business development of Turkish SMEs. By drawing on the concept of homophily and tie strength, we argue that, while religion can act as a bridge and thus create a multitude of weak ties within a business network, spirituality can deepen these ties and make them stronger through increased emotional intensity, intimacy and reciprocal service. The data were collected from participants in two Islamic business associations in Turkey. The results suggest that spirituality indeed drives members’ commitment to the network and the presence of spirituality has a distinctive effect on members’ contributions to and demands on the network. More specifically, members who treat their network membership as an extension of their spiritual practice tend to mainly benefit from intangible resources, while members who view their shared religion as an entry point into the network seem to benefit from both tangible and intangible network resources. The findings have several theoretical and practical implications, including the introduction of the spirituality concept into the discussion of homophily and tie strength in business networks, and the role of home networks in the internationalization of SMEs.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".