Selection of planned supply initiatives: the role of senior management expertise
Notice bibliographique
Résumé
Purpose The purpose of this paper is to assess the selection of planned supply initiatives and the role of senior management expertise. The drivers that influence the selection of particular supply initiatives by firms are of major interest to both practitioners and academics, as choices indicate priorities for resources, potential performance gaps and needs for future research. Moreover, theory indicates that senior management expertise and firm‐level resources might influence the likelihood of selecting particular initiatives. Design/methodology/approach A synthesis of the literature supported the development of a five‐dimensional framework of major supply initiatives. Logistic regression was conducted with data from a survey of chief purchasing officers at large North American firms. The impact of firm‐level resources and senior management expertise, including background and experience, was assessed for the selection of supply initiatives. Findings After controlling for general industry‐level factors, both firm resources and senior management expertise were found to systematically affect the likelihood of a firm planning to pursue particular initiatives. First, hiring senior management from outside the firm decreased the likelihood that network‐based initiatives were planned, while senior management who last worked in supply were found to be negatively related to planned supply strategy initiatives. Second, firms with greater use of e‐business technologies favored additional investment in supply networks. Research limitations/implications This research focused on large firms in developed countries, and additional research is needed to explore the generalizability to small and medium‐sized enterprises and less‐developed countries. Moreover, additional work is needed to explore trade‐offs between planned and emergent initiatives, as only the former were empirically assessed. Originality/value Senior management expertise has received relatively little attention in prior research, yet was found to be a significant factor influencing strategic, process and network‐related supply initiatives. Moreover, the framework of supply initiatives provides a basis for assessing and benchmarking firm‐level supply chain strategy and investment patterns. Finally, empirical evidence emerged that both firm and individual‐level factors influenced the probability of selecting particular initiatives.
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.
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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 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».