Determinants of Culture: An Analytical Study of Business Organizations Working in Faisalabad, Pakistan
Bibliographic record
Abstract
This study was aimed at investigating basic determinants of culture that contribute to differentiate culture of export-based textile organizations from one another. For this concern, different factors (degree of frankness, language, attire, working hours, work experience, activities other than work, infrastructure, procrastination, group orientation, and organizational behavior) were identified and their degree of contribution to culture of export based organizations is examined. For this purpose, Faisalabad city was selected as universe and a sample of 100 respondents from textile organizations was analyzed. After collecting information certain statistical tools (mean, bivariate, multivariate and Pearson correlation) were applied to evaluate the intensity of cultural determinants. This study indicates that the degree of frankness, procrastination, infrastructure, working hours, group orientation, work experience, and activities other than work are the strong predictors of culture. Attire and language were less significant to determine the culture of export-based textile organization. Open communication and management style contributed and effected the intensity of determinants of culture and helped to understand overall culture of organization.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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".