Influence of Culture in Handling Conflict Situation-With Special Reference to Indian Sub Cultural Diversity
Bibliographic record
Abstract
Personality is said to be the product of genes and environmental factors. Amid several environmental factors, culture seems to play an imperative role in shaping ones behavior. Studying the influence of culture on organizational behavior from heterogeneity perspective has become a predominant factor among the eminent researchers and academicians. Since it has been frequently stated that Indian studies are seems to be contradictory and inconsistent in its cultural study, this paper tries to address the difference between South Indian managers and other than south Indian Managers on their value systems and their Conflict management Style. T test and one way Anova are the statistical tests used to infer the collected data. Result shows that there is no major significant differences with respective to individual values exist between the south Indian and other than south Indian Managers except with the value system of Conformity at 1 per cent level of significance, where south Indian manager are seems to be somewhat traditional when compare to managers hail from other than south India and more over they are seems to be having withdrawal style of conflict management. There is no significant difference seems to exist among these managers with respect to other conflict management styles. Influence of years of stay away from birth place has also been analyzed where it shows external exposure has its influence on individual value.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".