Workshop’s Topic: There is scant research examining whether and to what extent interactions among crowdsourcing solvers could increase crowdsourcing effectiveness. In this paper, we study teaming - i.e., teams formed on the fly within crowdsourcing contests. We show that solvers are likely to make use of a variety of publicly available information that crowdsourcing platforms provide as quality signals in determining potential teammates for teaming. In turn, this reliance on observable quality signals will shape the self-selected teaming process and subsequent crowdsourcing effectiveness.

Time and Location: 14:00-15:00 PM (GMT+8), Room A523 (School of Management)

Language: Bilingual (Chinese and English)