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The role of positivity and connectivity in the performance of business teams: A nonlinear dynamics model (2004)
| Venue: | American Behavioral Scientist |
| Citations: | 72 - 3 self |
BibTeX
@ARTICLE{Losada04therole,
author = {Marcial Losada and Emily Heaphy and Marcial Losada and Meta Learning and Emily Heaphy},
title = {The role of positivity and connectivity in the performance of business teams: A nonlinear dynamics model},
journal = {American Behavioral Scientist},
year = {2004}
}
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Abstract
Connectivity, the control parameter in a nonlinear dynamics model of team performance is mathematically linked to the ratio of positivity to negativity (P/N) in team interaction. By knowing the P/N ratio it is possible to run the nonlinear dynamics model that will portray what types of dynamics are possible for a team. These dynamics are of three types: point attractor, limit cycle, and complexor (complex order, or “chaotic ” in the mathematical sense). Low performance teams end up in point attractor dynamics, medium perfomance teams in limit cycle dynamics, and high performance teams in complexor dynamics. Keywords: positivity; connectivity; team performance; nonlinear dynamics Positive organizational scholars have made an explicit call for the use of nonlinear models stating that their field “is especially interested in the nonlinear positive dynamics... that are frequently associated with positive organizational phenomena ” (Cameron, Dutton, & Quinn, 2003, pp. 4-5). This article answers this call by showing how a nonlinear dynamics model, the meta learning (ML) model, developed and validated against empirical time series data of business
Keyphrases
nonlinear dynamic model business team team performance positive organizational phenomenon nonlinear dynamic positive organizational scholar medium perfomance team point attractor limit cycle dynamic complexor dynamic point attractor dynamic empirical time series data limit cycle complex order team interaction nonlinear model meta learning control parameter high performance team explicit call nonlinear positive dynamic mathematical sense low performance team
