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Knowledge-Structuring Practices: Using Semantic Network Analysis to Assess the Influence of Design Team Structure on Knowledge Emergence

Sat, May 27, 9:30 to 10:45, Hilton San Diego Bayfront, Floor: 4, Sapphire 411 AB


Communication is a central process of groups and effective communication is associated with high performing teams (Caldwell & Everhart, 1998; Marks, Mathieu, & Zaccaro, 2001), yet most research on teams overlooks the discursive data of teams and how it illustrates knowledge emergence. In this paper, we use a collection of semantic analysis tools, including machine learning, natural language processing, concordance analysis, network visualization, and semantic network analysis to examine the conceptual and relational elements of knowledge development in design teams. These computational approaches to discourse data illustrate differences in the ontologies of design teams that use structured, compared to unstructured, processes of design. In the following, we briefly describe our methods.