Inter-firm Collaboration in the Forest Products Industry: A Literature Review
Notice bibliographique
Résumé
International competition, particularly in the forest products industry, is constantly increasing; even the largest companies have had to adapt to keep their market share. A successful strategy, for enterprises to remain competitive, is to establish collaborations with other business entities in order to access new markets and satisfy customer demand. The goal of this paper is to investigate the relevance of collaboration in the forest products industry via a systematic literature review method and explore the proposed collaboration mechanisms, main drivers, benefits, facilitators, and challenges of collaboration. A total of 70 articles were reviewed and results demonstrate the importance of collaboration in the forest products industry. Joint practices and contractual and economic practices are among the most popular collaboration mechanisms identified. Furthermore, lack of trust and developing a win–win collaboration condition seem to be the key challenges in this industry. On the other hand, cost based strategy, sustainability and environmental performance, and competition are among the principal drivers and benefits faced by the sector. Finally, financial incentives, bonuses and subsidies are the most important facilitators. A framework for inter-firm collaboration in the forest products supply chain is proposed in order to help firms identify the best-fit collaborative mechanisms for their particular collaborative initiative. International competition, particularly in the forest products industry, is constantly increasing; even the largest companies have had to adapt to keep their market share. A successful strategy, for enterprises to remain competitive, is to establish collaborations with other business entities in order to access new markets and satisfy customer demand. The goal of this paper is to investigate the relevance of collaboration in the forest products industry via a systematic literature review method and explore the proposed collaboration mechanisms, main drivers, benefits, facilitators, and challenges of collaboration. A total of 70 articles were reviewed and results demonstrate the importance of collaboration in the forest products industry. Joint practices and contractual and economic practices are among the most popular collaboration mechanisms identified. Furthermore, lack of trust and developing a win–win collaboration condition seem to be the key challenges in this industry. On the other hand, cost based strategy, sustainability and environmental performance, and competition are among the principal drivers and benefits faced by the sector. Finally, financial incentives, bonuses and subsidies are the most important facilitators. A framework for inter-firm collaboration in the forest products supply chain is proposed in order to help firms identify the best-fit collaborative mechanisms for their particular collaborative initiative.
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) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,010 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 ».