Team Resilience in Complex and Turbulent Environments: The Effect of Size and Density of Social Interactions Metadata

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Title

  • Main Title Team Resilience in Complex and Turbulent Environments: The Effect of Size and Density of Social Interactions

Creator

  • Author: Giannoccaro, Ilaria
    Creator Type: Personal
    Creator Info: Politecnico di Bari
  • Author: Massari, Giovanni F.
    Creator Type: Personal
    Creator Info: Politecnico di Bari
  • Author: Carbone, Giuseppe
    Creator Type: Personal
    Creator Info: Politecnico di Bari; University of North Texas

Publisher

  • Name: Hindawi Publishing Corporation
    Place of Publication: Cairo, Egypt

Date

  • Creation: 2018-07-24
  • Submission Date: 2017-10-27
  • Acceptance Date: 2018-06-12

Language

  • English

Description

  • Content Description: This article addresses the question of how teams cope with environmental threats by investigating two drivers of team resilience: the team size and the density of social interactions among team members.
  • Physical Description: 11 p.

Subject

  • Keyword: team resilience
  • Keyword: complex system approach
  • Keyword: organizational resilience

Source

  • Grant: Complexity, 2018. Cairo, Egypt: Hindawi Publishing

Citation

  • Publication Title: Complexity
  • Volume: 2018
  • Page Start: 1
  • Page End: 11
  • Peer Reviewed: True

Collection

  • Name: UNT Scholarly Works
    Code: UNTSW

Institution

  • Name: UNT College of Arts and Sciences
    Code: UNTCAS

Rights

  • Rights Access: public
  • Rights License: by

Resource Type

  • Article

Format

  • Text

Identifier

  • DOI: 10.1155/2018/1923216
  • Archival Resource Key: ark:/67531/metadc1234365

Degree

  • Academic Department: Center for Nonlinear Science

Note

  • Display Note: Abstract: How are teams able to cope with environmental threats? Why are some teams better than others in facing this challenge? This paper addresses these questions by investigating two drivers of team resilience: the team size and the density of social interactions among team members. We adopt a complex system approach and employ a model of team decision-making where collective dynamics of team members are governed by a continuous-time Markov process. The model simulates team performance in complex and turbulent environments. It is used to measure the resilient ability of team to quickly adapt to disturbance and secure a new more desirable condition. Scenarios characterized by increasing levels of complexity and turbulence are simulated, and the resilience performance is calculated and compared. Results show that the team size negatively affects the team resilience, whilst the density of social interactions plays a positive influence, especially at a high level of complexity. We also find that both the magnitude and the frequency of disturbance moderate the relationship between team size/density and the team resilience.