scholarly journals Teamwork in Healthcare Management

2021 ◽  
Author(s):  
Mercè Mach ◽  
António C.M. Abrantes ◽  
Ceferí Soler
Keyword(s):  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Team Effectiveness ◽  
Healthcare Management ◽  
Capture Process ◽  
System Perspective ◽  
Organizational Settings ◽  
Research Designs ◽  
Complex Adaptive ◽  
Process Output

Groups are pervasive in healthcare institutions and take on a variety of shapes. This paper uses a typology that allows us to understand the distinctive characteristics of team operations, based on interdependence and interactive dimensions. It looks at factors that influence team effectiveness in organizational settings. We review different frameworks that shed light in explaining the conditions that lead to group effectiveness. From the classical input-process-output (IPO) model to the input-mediator-output-input (IMOI) model of team effectiveness; the taxonomy of team process and emergent estates, as well as the teams understood as complex adaptive systems and also studied from the multiteam system perspective. We also report the need for more robust research designs to contribute to the field’s further advancement. There is consensus among scholars demanding further conceptual frameworks, as well as powerful research designs that capture process-oriented theory and research on team effectiveness. Some future directions and recommendations are suggested.

Exploring the processing of product returns from a complex adaptive system perspective

2019 ◽  
Vol 30 (3) ◽  
pp. 699-722
Author(s):  
Jennifer A. Espinosa ◽  
Donna Davis ◽  
James Stock ◽  
Lisa Monahan
Keyword(s):  
Supply Chain ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Dynamic Environment ◽  
Reverse Supply Chain ◽  
Product Returns ◽  
Individual Agent ◽  
System Perspective ◽  
Content Type ◽  
Complex Adaptive

Purpose The purpose of this paper is to explore the processing of product returns at five case companies using a complex adaptive systems (CAS) logic to identify agent interactions, organization, schema, learning and the emergence of adaptations in the reverse supply chain. Design/methodology/approach Using a multiple-case study design, this research applies abductive reasoning to examine data from in-depth, semi-structured interviews and direct researcher observations collected during site visits at case companies. Findings Costly or high-risk returns may require agents to specialize the depth of their mental schema. Processing agents need freedom to interact, self-organize and learn from other agents to generate emergent ideas and adapt. Practical implications Limiting the depth of individual agent schema allows managers to better allocate labor to processing product returns during peak volume. To boost adaptability, managers need to craft a dynamic environment that encourages agents with diverse schema to interact, anticipate, and self-organize to brainstorm new ideas. Managers need to resist the urge to “control” the dynamic environment that ensues. Originality/value This paper builds on existing research that studies the key decision points in the analysis of product returns by exploring how processing-agent behaviors can create adaptability in the reverse supply chain. Additionally, this research follows in the tradition of Choi et al. (2001) and Surana et al. (2005) and proposes the application of CAS to a specific part of the supply chain – the processing of product returns.

scholarly journals A Complex Adaptive Systems Approach to Real-Life Team Interaction Patterns, Task Context, Information Sharing, and Effectiveness

2019 ◽  
Vol 45 (1) ◽  
pp. 3-42 ◽  
Author(s):  
Marcella A. M. G. Hoogeboom ◽  
Celeste P. M. Wilderom
Keyword(s):  
Information Sharing ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Team Effectiveness ◽  
Nonlinear Dynamical Systems ◽  
Real Life ◽  
Interaction Patterns ◽  
Team Interaction ◽  
Effective Teams ◽  
Complex Adaptive

Interaction dynamics are considered to be key characteristics of complex adaptive systems (CAS). Taking a CAS approach, this study examines how three team interaction patterns affect team effectiveness. Specifically, we analyze recurring, heterogeneous, and participative patterns of team interaction in routine and nonroutine team-task contexts. Fine-grained coding of video-based footage plus nonlinear dynamical systems (NDS) statistics are used to identify the interaction patterns in a sample of 96 real-life teams, comprising 1,395 team members. We establish that recurring patterns of team interaction reduce perceived team information sharing and, in turn, team effectiveness and that these harmful effects are more pronounced in teams doing nonroutine work than in those engaged in routine work. Participative team interaction was found to be positively related to a high level of perceived team information sharing and effectiveness. Heterogeneous team interaction was not associated with perceived team information sharing and effectiveness. Post hoc analyses, in which the behavioral content of the interaction patterns of the 15 most effective and least effective teams is compared, revealed primarily task-directed patterns in the most effective teams. We offer practical recommendations for team development and call for more CAS research on the communicative behaviors within teams of knowledge workers.

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