Bibliographic record
Abstract
Strategy influences characteristics of organization such as structure, resources, customers, or suppliers.Manager-oriented social capital can be one of the important resources of an organization and without it, other resources will not be effective.The purpose of the present study is to investigate the effect of strategic orientations on manager-oriented external social capital.The sample of this study consisted of 140 active companies in hygiene and cellulose products that were selected according to the companies in 22 nd Tehran International Exhibition.The construct validity of the questionnaire was investigated by exploratory factor analysis and Cronbach's alpha was used to investigate reliability.For data analysis, descriptive and inferential statistics as well as SPSS and Smart Pls2.M3 were used.The findings showed that there is a significant positive relationship between strategic orientations and manager-oriented social capital.In other words, the effects of strategic orientations in formation and utilization of manager-oriented social capital are different.Environmental uncertainty and competition intensity as moderators were investigated.The moderating effect of competition intensity was confirmed regarding the effect of strategic orientation of competitors on manager-oriented social capital.Also, the effect of environmental uncertainty as moderator was confirmed on above relationships in learning and customer orientations.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.960 | 0.963 |
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; the direct Gemma label and the distilled Codex classifier 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".