Teammate invitation networks: The roles of recommender systems and prior collaboration in team assembly

Marlon Twyman, Daniel A. Newman, Leslie DeChurch, Noshir Contractor

Research output: Contribution to journalArticlepeer-review

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 et al.’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 (this effect replicates across samples). This study highlights technology-enabled team assembly from a network perspective.

Original languageEnglish (US)
Pages (from-to)84-96
Number of pages13
JournalSocial Networks
Volume68
DOIs
StatePublished - Jan 2022

Keywords

  • Exponential random graph models
  • Invitation networks
  • Recommender systems
  • Team assembly
  • Team formation

ASJC Scopus subject areas

  • Anthropology
  • Sociology and Political Science
  • Social Sciences(all)
  • Psychology(all)

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