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Enregistrement W129927066

The Impact of Path-Goal Leadership Styles on Work Group Effectiveness and Turnover Intention

2010· article· en· W129927066 sur OpenAlexaboutno aff
Marva L. Dixon, Laura Kozloski Hart

Notice bibliographique

RevueJournal of managerial issues · 2010
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueGender Diversity and Inequality
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésLeadership styleWorkforcePopulationDiversity (politics)Job satisfactionPsychologyPublic relationsMarketingManagementSocial psychologyBusinessSociologyPolitical scienceEconomicsEconomic growth
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Globalization and the demand for a skilled, educated, and expeditious workforce pressure organizations to leverage their diverse workforces to gain competitive advantage (Harris, 1996). Throughout the next decade, the U.S. workforce is forecasted to become even more diverse, with 75 percent of the immigrant population arriving in the United States from Asia and Latin America, with only five percent coming from Canada and Europe. Women and minorities were projected to represent 70 percent of the U.S.'s 2008 workforce (Lockwood, 2005). To maintain financial competitiveness in this diverse landscape, organizational leaders must embrace the leadership styles that are most effective in motivating the diverse groups in which many employees work. Diversity in work groups can generate significant benefits for organizations, including enhanced innovation, creativity, and productivity (Valentine, 2001). Capturing these benefits takes the right type of leadership style and skills (Jung and Sosik, 2002; Silverthorne, 2001; Waldman et al., 2001; Kim and Organ, 1986; House, 1971; Fiedler, 1967). Despite recognition that an appropriate leader can enhance a work group's performance, increase group members' job satisfaction, and reduce turnover intentions, there is scant research assessing the impact of specific leadership styles on diverse work group effectiveness and turnover intention (Duemer et al., 2004). To help fill this gap, we analyze the relationships among three Path-Goal leadership styles, diversity, work group effectiveness and work group members' turnover intention. The following section discusses the important literature about diverse work groups, work group effectiveness, turnover intention, and Path-Goal leadership styles. Then, the methods and results of our data collection and analysis are presented. Finally, the conclusions and implications of this study's findings for organizational leaders and the fields of leadership and management are explained. REVIEW OF THE LITERATURE Work Groups and Work Group Diversity Work groups are comprised of individuals who are interdependent and/ or interact with each other to complete tasks and projects that contribute to organizational productivity, innovation, and creativity. The exchange of information and know-how among work group members as they achieve common goals generates social bonds that enhance productivity and organizations' financial performance (Gil et al., 2005; Blanchard and Miller, 2001; Beck et al., 1999; Anakwe and Greenhaus, 1999; Nonaka and Takeuchi, 1995). Diverse work groups exist when members' individual attributes differ (Mannix and Neale, 2005; Hobman et al., 2004, 2003). Researchers often focus on two dimensions of group member diversity. The first is dissimilarity, which includes explicit characteristics such as age, race/ethnicity, and gender, and the second is dissimilarity, which includes relative characteristics such as functional background, educational background, and seniority (Hobman et al., 2004, 2003; Chattopadhyay, 2003; Chatman and Flynn, 2001; Williams and O'Reilly, 1998). When individuals interact with people whom they perceive as different, they tend to classify themselves and those people into social categories (Cox and Nkomo, 1990). Research has found that, early in the life of a work group, members focus on the visible aspects of diversity such as gender, race/ethnicity, and age. As group members interact, they redirect their attention to other members' non-visible features such as personality, education, expertise, values, and communication styles (Cunningham and Sagas, 2004; Hobman et al., 2004, 2003; Salomon and Schork, 2003; Richard et al., 2002; Caudron, 1994). Employees with more perceived value/informational dissimilarity with their leaders tend to be less satisfied with them and have weaker organizational attachment that those with high perceived similarity (Lankau et al. …

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)0,003
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,544
Score d'incertitude au seuil0,205

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
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 Opus0,077
Tête enseignante GPT0,333
Écart entre enseignants0,256 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
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

Citations56
Publié2010
Routes d'admission1
Résumé présentoui

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