A Meta-Analysis of Different Forms of Shared Leadership–Team Performance Relations
By Lauren D’Innocenzo, John E. Mathieu, Michael R. Kukenberger. 2016
554 citations recorded by the source corpus.
Subfields: Communication, Social Psychology, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/6a5463a87796cd29e6efff9e017b0f6ef783b013
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Communication
In Social Psychology
- Tamara L. Friedrich
- K. Leithwood
- Mona Weiss
- Erik Gonzalez‐Mulé
- Gudela Grote
- Kyle J. Emich
- Satish Kumar
- Michael D. Mumford
In Statistical and Nonlinear Physics
Citations in the corpus
- We can do it! Inclusive leader language promotes voice behavior in multi-professional teams (2018, background): “Shared leadership has been found to be more beneficial for team performance than hierarchical leadership (D’Innocenzo et al., 2014).”
- Collective leadership behaviors: Evaluating the leader, team network, and problem situation characteristics that influence their use (2016, background): “While the meta-analysis conducted by D'Innocenzo et al. (2014) on studies of shared leadership did find that student samples had lower effect sizes than comparable real-world samples, both meta-analyses conducted by Nicolaides et al.”
- Mapping 50 Years of Small Group Research Through Small Group Research (2020, background): “This latter approach has been found to better relate to team performance (D’Innocenzo et al., 2016).”
- Seven strong claims about successful school leadership revisited (2020, background): “The knowledge base on school leadership has also broadened to include considerations of shared leadership and team performance (D’Innocenzo, Mathieu, and Kukenberger 2016); the leadership of school-based networks (Leithwood and Azah 2016) and the well-being of those responsible for leading, at all…”
- Advancing Theory by Assessing Boundary Conditions With Metaregression: A Critical Review and Best-Practice Recommendations (2018, background): “D’Innocenzo, Mathieu, and Kukenberger (2014); Hausknecht, Halpert, Di Paolo, and Moriarty Gerrard (2007) Note: T2, between-studies variance; ME, mixed-effects model; FE, fixed-effects model; τ2res, residual heterogeneity; REML, restricted maximum likelihood; EB, empirical Bayes; HLM, hierarchical…”