Abstract:
:Teammate invitation networks are foundational for team assembly, and recommender systems (similar to dating websites, but for selecting potential teammates) can aid the formation of such networks. This paper extends Hinds, Carley, Krackhardt, and Wholey's (2000) influential model of team member selection by incorporating online recommender systems. Exponential random graph modeling of two samples (overall N = 410; 63 teams; 1,048 invitations) shows the invitation network is predicted by online recommendations, beyond previously-established effects of prior collaboration/familiarity, skills/competence, and homophily. Importantly, online recommendations are less heeded when there is prior collaboration (effect replicates across samples). This study highlights technology-enabled team assembly from a network perspective.
journal_name
Soc Networksjournal_title
Social networksauthors
Twyman M,Newman DA,DeChurch L,Contractor Ndoi
10.1016/j.socnet.2021.04.008keywords:
["exponential random graph models","invitation networks","recommender systems","team assembly","team formation"]subject
Has Abstractpub_date
2022-01-01 00:00:00pages
84-96eissn
0378-8733journal_volume
68pub_type
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