Exploring the dynamic interactions and cognitive characteristics of NSF innovation corps (I-Corps) teams

Kathryn Weed Jablokow, Neeraj Sonalkar, Ilya Avdeev, Brian D. Thompson, Mohamed M. Megahed, Pratik Subhash Pachpute

Research output: Contribution to journalConference articlepeer-review

4 Scopus citations

Abstract

In this pilot study, we used the Interaction Dynamics Notation (IDN), originally designed for use with engineering design teams, to explore the dynamic interactions of five NSF I-Corps" teams engaged in a simple design activity. Our aim was to relate these interaction data to selected cognitive characteristics of the team members, as well as team design outcomes and individual perceptions related to the experience. The individual cognitive characteristics we assessed focused on cognitive style, as measured by the Kirton Adaption-Innovation inventory (KAI), while team outcomes included the novelty, usefulness, and feasibility of each team's design solutions, as well as their success within and beyond the NSF I-Corps" program. Our findings show that the Interaction Dynamics Notation (IDN) can be readily extended to the study of entrepreneurial teams, with important insights gained from the combined study of interaction dynamics, individual cognitive characteristics as measured by KAI, and team outcomes. The results of this study demonstrate the feasibility and value of this approach for investigating the dynamic interactions of NSF I-Corps" teams, as well as product-focused design teams in general.

Original languageEnglish (US)
JournalASEE Annual Conference and Exposition, Conference Proceedings
Volume2018-June
StatePublished - Jun 23 2018
Event125th ASEE Annual Conference and Exposition - Salt Lake City, United States
Duration: Jun 23 2018Dec 27 2018

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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