Teamwork Approach: An Investigation on Iranian Teamwork Attitudes
Bibliographic record
Abstract
Purpose – The purpose of this article is to address the main problems in Iranian working teams and study the Iranian teamwork attitudes.Design/methodology/approach – The authors have examined several factors which affect teamwork performance. Besides, the Iranians attitudes and approaches in teamwork have been discussed and analyzed. Moreover, using Hofstede cultural dimensions, the teamwork characteristics of Iranians have been further discussed and compared with other countries in terms of cultural perspectives. Findings – Most common Iranian Teamwork Problems and Conflicts, as well their symptoms, results, and suggestions to resolve them have been discussed in the paper. Originality/value – The authors found out that the Hofstede’s studies about different cultural dimensions cannot explain the teamwork performance level of different countries. Rather, there are other factors such as the work environment which affect the quality of teamwork. Keywords: Teamwork; Iranian culture; Virtual teams; Team performance Resume: Objectif - L'objectif de cet article est de resoudre les problemes principaux des equipes de travail iraniennes et d'etudier les attitudes de travail d'equipe iraniennes.Conception / methodologie / approche - Les auteurs ont examine plusieurs facteurs qui affectent la performance de travail d'equipe. De plus, les attitudes des Iraniens et les approches dans le travail d'equipe ont ete discutees et analysees. En outre, en utilisant les dimensions culturelles de Hofstede, les caracteristiques du travail d'equipe des iraniens ont ete etudiees davantage et comparees avec d'autres pays en termes de perspectives culturelles.Resultats - La plupart des problemes communs et des conflits de travail d'equipe iraniens, ainsi que leurs symptomes, les resultats et les suggestions pour les resoudre ont ete discutes dans l'article.Originalite / valeur - Les auteurs ont constate que les etudes de Hofstede sur les differentes dimensions culturelles ne pouvaient pas expliquer le niveau de performance de travail d'equipe des differents pays. Au contraire, il existe d'autres facteurs, tel que l'environnement de travail, qui affectent la qualite de travail d'equipe.Mots-cles: travail d'equipe； culture iranienne； equipes virtuelles； performance de l'equipe
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".