Unpacking the relationship between entrepreneurial marketing activities and small firm performance
Notice bibliographique
Résumé
Purpose A question remains unresolved in existing cross-disciplinary research at the marketing/entrepreneurship interface (MEI). This features circumstances when employing a combination of market-oriented and entrepreneurially-oriented activities, known as entrepreneurial marketing (EM) behavior, is likely to lead to positive performance outcomes. Earlier mixed findings provide the need to unpack the nuances of EM practices, in terms of their boundary conditions, regarding circumstances where this behavior does or does not lead to performance-enhancing outcomes. Consequently, the purpose of this study is to examine the complexities of the association between EM activities and small firm performance by assessing quadratic and moderating effects. Design/methodology/approach This study was underpinned by resource-based theory (RBT). Survey responses were collected from 214 smaller-sized companies in the United Kingdom. The statistical data passed all major checks for reliability, different forms of validity, common method variance and endogeneity bias. Findings EM activities had a quadratic connection with small firm performance, with this relationship being enhanced (in terms of a positive two-way interaction effect) by market dynamism (a counter-intuitive result regarding environmental conditions). Surprisingly, through a post-hoc test, coopetition (cooperation among competitors to leverage assets and overcome resource constraints) did not play any influential part in helping owner-managers to overcome the potential downsides of EM practices, like the time and cost implications of identifying and exploiting opportunities (i.e., a non-significant three-way interaction effect). Originality/value Unique insights outline how decision-makers in smaller-sized organizations can harness the potential benefits, and minimise the likely drawbacks, of employing EM activities. However, owner-managers should be cautious when implementing these organization-wide practices, since they are likely to enhance performance, but only up to a fixed point. Indeed, excessive forms of EM activities can weaken small firms’ performance. A counter-intuitive positive moderation effect regarding market dynamism challenges certain earlier findings. Specifically, in some dynamic market conditions, EM activities could be performance-enhancing, since certain environmental-level forces might assist owner-managers to amplify the merits of behavior at the MEI when implemented effectively.
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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 | 0,004 | 0,002 |
| 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 | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| 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 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 ».