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Team Faultline Measures: Rescaling the Weights of Diversity Attributes

Bahmani, Keivan and Semnani –Azad, Zhaleh and Lewis, Michael and Sycara, Katia (2018) Team Faultline Measures: Rescaling the Weights of Diversity Attributes. In: Proceedings of the 51st Hawaii International Conference on System Sciences, 3-6 Jan 2018, Kona, HI.

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Abstract

Faultline, or subgroup formation based on the alignment of diversity attributes, can cause conflicts and low coordination in diverse teams. While researchers understand the importance of faultlines in team process and negotiations, current computational faultline measures are highly vulnerable to subjective weight assignment of diversity attributes. Therefore, there is limited understanding of which diversity attributes have more impact on faultline formation. In this paper we report 1) a pilot study illustrating the susceptibility of the current faultline measures to subjective evaluations, and 2) an online study illustrating how people’s surface (e.g. age, gender, race) and deep (e.g. personality, cultural norms) level diversity attributes impact their preference and selection of team members, as a proxy of faultline formation. We find while various surface and deep-level attributes predict selection of members, most of these attributes are highly correlated with members’ age, suggesting the importance of this attribute. We discuss future directions for faultline measures with objective rescaling of diversity weights.

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Details

Item Type: Conference or Workshop Item (Paper)
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Bahmani, Keivan
Semnani –Azad, Zhaleh
Lewis, Michaelml@sis.pitt.educmlewis0000-0002-1013-9482
Sycara, Katia
Date: January 2018
Date Type: Publication
Journal or Publication Title: Proceedings of the 51st Hawaii International Conference on System Sciences
Page Range: pp. 379-387
Event Title: Proceedings of the 51st Hawaii International Conference on System Sciences
Event Dates: 3-6 Jan 2018
Event Type: Conference
Schools and Programs: School of Computing and Information > Information Science
Refereed: Yes
Date Deposited: 06 Jul 2018 15:58
Last Modified: 06 Jul 2018 15:58
URI: http://d-scholarship.pitt.edu/id/eprint/34585

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