Understanding Supply Chains: Concepts, Critiques and Futures
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Notice bibliographique
Résumé
The Supply Chain concept is one of the most important ideas to emerge in management research and practice in the last twenty five years. Organizations do not exist in isolation. Any organization, whether a large corporation, public body, or small business, which aims to meet the needs of its various customers and stakeholders will need resources in order to do this, and will acquire many of its materials, equipment, and supplies from other organizations. The performance of an organization is thus influenced to a greater or lesser degree by the actions of the organizations that make up the Supply Chain. There is no doubt that the emergence of Supply Chain Management has been a major development in management thinking and practice. It has become an established feature of management education, and a professional field with its own magazines and journals - a field with its own distinctive perspectives. However, many writers observe that it is a field characterized by imprecise terminology, sloppily applied metaphors, and conflated or confused concepts. The slightest skim of the many literatures that use the term reveals a wide range of interpretations, hundreds of different formulations, nuances, and taxonomies for the 'Supply Chain', and dozens of near synonyms. The purpose of this volume is to bring together insights from the leading researchers and thinkers on supply chain management to help move the field forward. It provides a survey of the key theoretical concepts which underpin the field, and presents critical evaluations of the underlying ideas and approaches. It will be an important resource for those active in researching in or applying the ideas of supply chain management, and for advanced students and their teachers. Contributors to this volume - John Bessant, Cranfield School of Management. Nigel Caldwell, Centre for Research in Strategic Purchasing and Supply, School of Management, University of Bath. Ani Calinescu, Oxford University Computing Laboratory. Martin Christopher, Cranfield School of Management, Cranfield University. Paul Cousins, Queen's School of Management and Economics, Queen's University, Belfast. Simon Croom, Warwick Business School, University of Warwick. Stephen Disney, Cardiff Business School, Cardiff University. Janet Efstathiou, Department of Engineering Science, University of Oxford. Mihalis Giannakis, Middlesex University Business School. Christine Harland, Centre for Research in Strategic Purchasing and Supply, School of Management, University of Bath. Luisa Huaccho Huatuco, Department of Engineering Science, University of Oxford. P. Fraser Johnson, Richard Ivey School of Business, University of Western Ontario. Robert D. Klassen, Richard Ivey School of Business, University of Western Ontario. Louise Knight, Centre for Research in Strategic Purchasing and Supply, School of Management, University of Bath. Richard Lamming, School of Management, University of Southampton. Mohamed Naim, Cardiff Business School, Cardiff University. Guido Nassimbeni, Dipartimento Di Ingegneria Elettrica Gestionale E Meccanica (DIEGM) via delle Scienze, University of Udine. Steve New, Said Business School, University of Oxford. Wendy Phillips, Centre for Research in Strategic Purchasing and Supply, School of Management, University of Bath. Nigel Slack, Warwick Business School, University of Warwick. Suja Sivadasan, RAND Europe. Denis Towill, Cardiff Business School, Cardiff University. Roy Westbrook, Said Business School, University of Oxford.
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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 | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,000 | 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 découle