TY - JOUR
T1 - Exploring the dynamic interactions and cognitive characteristics of NSF innovation corps (I-Corps) teams
AU - Jablokow, Kathryn Weed
AU - Sonalkar, Neeraj
AU - Avdeev, Ilya
AU - Thompson, Brian D.
AU - Megahed, Mohamed M.
AU - Pachpute, Pratik Subhash
N1 - Publisher Copyright:
© American Society for Engineering Education, 2018.
PY - 2018/6/23
Y1 - 2018/6/23
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85051214679&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85051214679&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85051214679
SN - 2153-5965
VL - 2018-June
JO - ASEE Annual Conference and Exposition, Conference Proceedings
JF - ASEE Annual Conference and Exposition, Conference Proceedings
T2 - 125th ASEE Annual Conference and Exposition
Y2 - 23 June 2018 through 27 December 2018
ER -