Shared economy development model with economic development approach in Iran's sports industry
Notice bibliographique
Résumé
This study aimed to develop a model for developing a shared economy with an economic development approach in the Iranian sports industry. The research method was a two-stage exploratory combination of instrument making. In the qualitative part, the purposeful sampling method and theoretical saturation technique were performed. The tools used were to identify semi-structured interviews (with focus groups) and study documents. To ensure the validity and reliability of the study, the Lincoln and Guba evaluation methods were used. In the quantitative part, the research method was a descriptive survey. The statistical population was the economic activists in sports and sports marketing students. According to Cochran’s sample size determination formula, 384 people were considered as the sample. to collect data from the questionnaire of the framework model of the shared economy model in sports with an economic development approach that includes 43 items that have been extracted according to the theoretical foundations and the qualitative part of the research. Eight professors of sports management were used to evaluate the face validity and the carcass model was used for the content validity of the questionnaire questions. (CVR=0.86) and content validity was confirmed. Cronbach's approved alpha was also used. Descriptive statistics and structural equation modeling were used to analyze the data to evaluate the fit of the research model. The results of the research in the qualitative section showed that after examining the Delphi method and performing the first stage, 31 items were identified. In the second stage, 40 items were identified, and in the third stage; Finally, 50 items were identified. The three dimensions of human ecology, fiscal policy, and value-oriented processes emerged as a framework for the model of a shared economy in sports with an economic development approach. And in the quantitative part, the human ecology dimension with a value of 0.71 affects the value-oriented process dimension with a value of 0.65 and the fiscal policy dimension with a value of 0.63 affects the framework for the development of a shared economy in sport. The results also showed that the research model has a good fit. Therefore, it is suggested that the sports organizations' managers pay attention to the factors of this research to implement economic development by emphasizing a shared economy.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,002 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».