Performance Of Shoe Export Firms Located In Agra Cluster: An Empirical Study With Reference To Certain Environmental Factors
Bibliographic record
Abstract
The aim of the investigation is to study the influence of environmental factors on the performance of Shoe export firms located in Agra cluster. Descriptive method was employed to study the influence of certain environmental factors (socio-cultural, economic, political and technological factors) on performance of of shoe export firms. Investigator selected five (05) reputed Shoe firms located in Agra cluster though purposive sampling method and through random sampling method, total 100 participants were selected as sample units in this study.Self made instruments were used for assessing the influence of environmental factors and another instrument was used for assessing the performance of Shoe firms. Data collected were analyzed using linear regression analysis. The findings of the analysisshows that the Environmental factors (Socio-cultural Economic, Political and Technological) significantly influenced the firm performance (market share, increase sales, profit and achievement of corporate goal etc). As a result, Firms should do routine environmental scans, especially when entering global markets.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".