MétaCan
Menu
Retour à la cohorte
Enregistrement W1560404117

The Relationship between Market Orientation and Performance under Different Environmental Conditions: The Moderating Effect of the Top Management Team's Risk Taking Behavior

2009· article· en· W1560404117 sur OpenAlexaboutno aff
Ram Subramanian, Kamalesh Kumar, Karen Strandholm

Notice bibliographique

RevueAcademy of strategic management journal/Academy of Strategic Management journal · 2009
Typearticle
Langueen
DomaineBusiness, Management and Accounting
ThématiqueInnovation and Knowledge Management
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésOperationalizationMarket orientationConstruct (python library)MarketingOrganizational performancePsychologySocial psychologyBusinessComputer science
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

ABSTRACT The literature on orientation finds support for its positive relationship with organizational performance. However, it is important to know what conditions moderate this relationship. Using a sample of 166 Canadian companies (in a post-NAFTA environment), we find evidence to suggest that the risk propensity of the firm's top management team (TMT) plays a critical role in translating orientation to improved performance. The moderating effect of the TMT's risk propensity varies across various environmental conditions such as turbulence, competitive intensity, and technological turbulence. The implications of these findings are discussed. INTRODUCTION The construct of orientation captures the interface between the organization and its external environment. Ever since the construct was operationalized in the 1990s (Narver and Slater, 1990; Kohli and Jaworski, 1990), a vast and growing body of literature has found support for a positive relationship between orientation and organizational performance (e.g. Kirca, Jayachandran, and Bearden, 2005; Verhees and Meulenberg, 2004; Baker and Sinkula, 1999; Jaworski and Kohli, 1993; Pulendran, Speed and Widing, 2000, Matsuno, Mentzer and Ozomer, 2002; Pelham and Wilson, 1996; Kumar, Subramanian and Yauger, 1998 ; Slater and Narver, 1994b; Slater and Narver, 2000; Subramanian and Gopalakrishna , 2001). From a behavioral point-of-view, orientation focuses on intra organizational activities that relate to the collection, dissemination, and response to external environment stimuli. However, for orientation to have a palpable payoff, the organization has to develop norms and behaviors (i.e., the culture) that encourage decision makers to make use of the information to strategically position the organization. One of the main challenges facing firms pursuing a market-orientation is avoiding the tyranny of the market (Hamel and Prahalad, 1991). Market intelligence may uncover important trends that indicate that the current is crowded, there is a trend toward commoditization of the product, and that the heightened intensity of competitive rivalry has resulted in a zero-sum fight for share. The same intelligence may provide a siren call to identify blue oceans (Kim and Mauborgne, 2004), the virgin space that is bereft of competition. To take advantage of this opportunity, the firm's managers must be willing to take the risk of entering such uncharted markets. Risk averse managers may not be willing to do this, instead steering the organization to stay the course. Without managers who are willing to take risks, the organization may take a conservative approach and be content to satisfy the expressed needs of current customers in existing markets. Thus it has been argued that in order to successfully pursue a orientation, it is necessary to have a management team willing to take risk (Jaworski and Kohli, 1 993 ; Pulendran, Speed, and Widing, 2000). In fact, Narver, Slater, and MacLachlan (2004) refer to this concept as proactive orientation, as opposed to one that is merely responsive. PURPOSE OF THIS STUDY Research that has explored the relationship between the top management team's (TMT) level of risk aversion and orientation has been equivocal (e.g. Jaworski and Kohli, 1993; Pulendran et al 2000). These mixed results may be due to the failure of these studies to include the environmental context. In other words, the importance of being wedded to the served may be more pronounced in stable markets, while dynamic conditions may favor exploiting blue ocean arenas. The industry as a whole and the various niches in it are typically well-defined in stable markets. It behooves firms in these markets to concentrate on the served rather than seek uncharted territories. In dynamic contexts, on the other hand, the industry definition and its boundaries are constantly in flux, thus encouraging and necessitating firms to look for new spaces. …

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Études des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,538
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0050,000
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0030,001
Communication savante0,0010,001
Science ouverte0,0020,001
Intégrité de la recherche0,0000,002
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,049
Tête enseignante GPT0,288
Écart entre enseignants0,239 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations34
Publié2009
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueAcademy of strategic management journal/Academy of Strategic Management journalMême sujetInnovation and Knowledge ManagementTravaux en français237 207