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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Mach, M., Ferreira, A. I. & Abrantes, A. C. M. (2022). Transformational leadership and team performance in sports teams: A conditional indirect model. Applied Psychology: An International Review . 71 (2), 662-694
Exportar Referência (IEEE)
M. Mach et al.,  "Transformational leadership and team performance in sports teams: A conditional indirect model", in Applied Psychology: An Int. Review , vol. 71, no. 2, pp. 662-694, 2022
Exportar BibTeX
@null{mach2022_1730766199738,
	year = "2022",
	url = "https://doi.org/10.1111/apps.12342"
}
Exportar RIS
TY  - GEN
TI  - Transformational leadership and team performance in sports teams: A conditional indirect model
T2  - Applied Psychology: An International Review 
VL  - 71
AU  - Mach, M.
AU  - Ferreira, A. I.
AU  - Abrantes, A. C. M.
PY  - 2022
SP  - 662-694
SN  - 0269-994X
DO  - 10.1111/apps.12342
UR  - https://doi.org/10.1111/apps.12342
AB  - This study tests how transformational leadership fosters
team performance through team cohesion and
how that relationship is moderated by previous team
performance and leadership consensus. We computed
a moderated-mediation model based on a sample of
690 professional players in 59 top professional teams in
interactive team sports leagues (basketball, handball,
roller hockey, and indoor football/soccer) in Spain. Our
findings suggest that transformational leadership indirectly
influences objective team performance through
the mediation role of team cohesion and that this indirect
effect is more prominent when the level of previous
performance is higher. We also found that the
indirect effect of transformational leadership on team
performance via cohesion is stronger in teams with
higher consensus regarding their coaches' leadership.
Overall, our results demonstrate the importance of
integrating dispersion and contextual variables into
research models, in particular, previous performance
and leadership consensus.
ER  -