How Philip Kotler has helped to shape the field of marketing
Notice bibliographique
Résumé
Abstract Purpose – Philip Kotler is one of the pioneers who has contributed to the broadening of academic inquiry in the field of marketing. He has had a significant role in shaping how marketing is taught to and practised by students and managers of marketing. By examining the personal and macroenvironmental influences that have come to shape his work, this paper seeks to explore how Philip Kotler has achieved such influence in the field of marketing. Design/methodology/approach – The research was driven by a desire to understand the context in which Kotler developed his work, including the personal influences on his life as well as the macroenvironmental forces within which his work has emerged. To this end, the reseaerch employed qualitative techniques to analyze a number of data sources including depth interviews with Philip Kotler and nine of his colleagues, participant observation at Kotler's 75th birthday celebration hosted by the Kellogg School, a review of marketing textbooks, and a review of relevant literature. Findings – The research reveals the keys to Philip Kotler's success are his ability to learn from the people around him and the events of the times, and his ability to integrate this knowledge into succinct, well‐communicated, timely lessons for others to follow. Kotler's work emerged within a period of time that has witnessed a thrust towards marketing as a science and the rise of the managerial school of thought. Given this context, the significance of Kotler's work is that it has contributed to the legitimacy of the field of marketing as both a rigorous academic discipline and a managerial domain of strategic importance within organizations. Practical implications – Gaining an understanding of Philip Kotler and his work contributes to our understanding of how the marketing field has been shaped, including the kinds of academic inquiry marketers deem legitimate and the nature of how we teach students to practice marketing management. Originality/value – Little attention has been paid to the factors that have influenced the work of Philip Kotler and how he has, in turn, come to shape the field of marketing. This research allows the reader to see the man behind the work and the influences on his thinking.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,007 | 0,020 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,007 | 0,020 |
| Communication savante | 0,014 | 0,014 |
| Science ouverte | 0,001 | 0,006 |
| Intégrité de la recherche | 0,005 | 0,008 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,003 |
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 source (Gemma direct ou Codex distillé), 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 ».