TIES, LEADERS, AND TIME IN TEAMS: STRONG INFERENCE ABOUT NETWORK STRUCTURE'S EFFECTS ON TEAM VIABILITY AND PERFORMANCE. Academy of Management Journal, Feb2006, Vol. 49 Issue 1, p49-68, 20p; (AN 20785500)
Scientists have been arguing for years about what
constitutes high-quality research and scientific advancement
(Popper, 1959). One way to evaluate
scientific advancement is to see whether alternative
explanations for phenomenona of interest have
been proposed and tested against each other (Platt,
1964). When the empirical testing of alternative
explanations leads to the rejection of one explanation,
subsequent research can build on the validated
explanation (Priem & Rosenstein, 2000). This
meta-analysis provides evidence that network analysis
has reached such an advanced state, as alternative
explanations have been proposed that might
have kept the effects we observed from coming to
light, or perhaps even steered them in a different
direction.
