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A Network‐Based Analysis of Team Coordination and Shared Cognition in Systems Engineering
Author(s) -
Avnet Mark S.
Publication year - 2016
Publication title -
systems engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.474
H-Index - 50
eISSN - 1520-6858
pISSN - 1098-1241
DOI - 10.1002/sys.21341
Subject(s) - knowledge management , cognition , new product development , conceptual design , pairwise comparison , cognitive ergonomics , computer science , engineering , human–computer interaction , psychology , artificial intelligence , human factors and ergonomics , marketing , neuroscience , business , medicine , poison control , environmental health
This paper presents a network‐based approach for analyzing team coordination and shared cognition in engineering design teams. The research setting is an Integrated Concurrent Engineering (ICE) laboratory in which teams of approximately 20 engineers are collocated to conduct rapid conceptual design of scientific spacecraft. A design structure matrix (DSM) of expected interactions is constructed from technical information flow data, and DSM representations of reported interactions are created using survey data from 10 ICE design teams. A comparative analysis of expected and reported interactions is used to calculate a metric of team coordination called socio‐technical congruence (STC). To examine shared cognition, pairwise shared mental models (SMMs) are measured using pre‐ and post‐session surveys on system design drivers. Shared knowledge networks (SMMs as edges) are constructed, and team learning is measured as the change in network structure over time. Analysis reveals statistically significant correlations between team learning and each of three technical attributes (system development time, launch mass, and mission concept maturity) and between team learning and team coordination. These results indicate that team members learn most from each other when working on difficult or unfamiliar problems and when expected and reported interactions are aligned. The paper concludes that team coordination and the design product in ICE are not necessarily directly related to each other but that both are related to shared cognition. Although this study focuses on conceptual design, it lays the foundation for future work examining the role of team coordination and shared cognition in full‐scale system development programs.