The Role of Positivity and Connectivity in the Performance of Business Teams
A Nonlinear Dynamics Model
Bibliographic Data
| ID | 3758090 |
|---|---|
| Authors | Marcial Losada (Meta Learning, corresponding author), Emily Heaphy (0000-0001-9716-4797, University of Michigan Business School) |
| Year | 2004 |
| Volume | 47 |
| Issue | 6 |
| Pages | 740-765 |
| Publication date | 2004-02-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | American Behavioral Scientist (JOURNAL) |
| Journal identifiers | ISSN: 0002-7642 • E-ISSN: 1552-3381 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/0002764203260208 |
| OpenAlex | W2015557099 |
| Language | EN |
| Citations received | 46 |
| References cited | 33 |
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
Attractor · Chaotic · Control (management · Control theory (sociology · Dynamics (music · Economics · Limit (mathematics · Limit cycle · Mathematical analysis · Negativity effect · Nonlinear system · Order (exchange · Physics · Point (geometry · Statistical physics · Artificial Intelligence · Cognitive Science and Mapping · Complex Systems and Decision Making · Computer Science · Mathematics · Opinion Dynamics and Social Influence · Psychology · Social Psychology
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| Unique citing works | 46 |
|---|---|
| Citations per year | 2,09 |
| Citation span | 2004 - 2026 (23) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 45 |