Agent-based model for multiple team membership
Implications for system design
Bibliographic Data
| ID | 21652237 |
|---|---|
| Authors | Sheida Etemadidavan (0000-0001-7512-900X, Old Dominion University), Andrew J Collins (0000-0002-8012-2272, Old Dominion University) |
| Year | 2025 |
| Volume | 28 |
| Issue | 3 |
| Pages | 372-394 |
| Publication date | 2025-10-17 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | International Journal of Organization Theory and Behavior (JOURNAL) |
| Journal identifiers | ISSN: 1093-4537 • E-ISSN: 1532-4273 |
| Publisher | Emerald (PUBLISHER) |
| DOI | 10.1108/ijotb-08-2023-0152 |
| OpenAlex | W4411109690 |
| Language | EN |
| References cited | 40 |
Purpose The aim of this research is to conduct a proof-of-concept agent-based simulation experiment of a large design project that incorporates the effects of Multiple Team Membership (MTM) and disjoint Multi-team Systems (MTS) approaches. By employing agent-based computational modeling, this study aims to demonstrate that the macro-level effects of MTM can be investigated using agent-based modeling. Specifically, the scenario used in this proof-of-concept research was a simple multi-team design project, and the simulation experiment determined the impacts of incorporating MTM on the overall wage cost of a project for different varying intricacy levels of the design task. This research adds to the body of organizational studies by applying the previously unutilized quantitative methods and simulation techniques to explore macro-level implications of MTM. Design/methodology/approach Computational experiment study using agent-based modeling. Findings Our research reveals that the adoption of MTM has a positive impact on project outcomes, specifically wage costs. The results derived from the different design problems confirm our discoveries, highlighting a substantial disparity between projects that employ MTM and those that do not when dealing with intricate design problems (coupled and uncoupled). By employing computational modeling techniques, we were able to examine the long-term effects, gaining valuable insights into the benefits of utilizing computational models to study multiple team memberships. This paper hopes to demonstrate that simulation experimentation can be used to study organizational structures that incorporate MTM. Originality/value Leveraging simulation experimentation, for example, agent-based modeling experiments, to demonstrate it was a potential tool for studying multiple team memberships in large design projects
Business · Knowledge management · Management science · Process management · Complex Systems and Decision Making · Computer Science · Engineering · Innovation Diffusion and Forecasting · Team Dynamics and Performance
The Origins of Order
The effects of multiple team membership on networking online and offline
The ODD Protocol for Describing Agent-Based and Other Simulation Models
Hard Work, Risk-Taking, and Diversity in a Model of Collective Problem Solving
So many teams, so little time
The dynamic relationship between multiple team membership and individual job performance in knowledge‐intensive work
Role strain and role accumulation across multiple teams
Dynamic models of segregation
| Citation velocity | historical |
|---|---|
| Highly cited | No |