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Motivation and performance of user-contributors: Evidence from a CQA forum

Jed DeVaro, Jin-Hyuk Kim, Liad Wagman () and Ran Wolff

Information Economics and Policy, 2018, vol. 42, issue C, 56-65

Abstract: There is an increasing number of Collaborative Question Answering (CQA) websites and a growing reliance of the online community on user-generated content. In this paper, we study users’ motivation to win social recognition contests (best answers) and how multitasking and flexible hours influence the rate of winning contests. Heterogeneity of contest motivation is estimated at the user level in a standard contest framework and used to demonstrate that, for those who are more highly motivated to win contests, multitasking across subjects is associated with a lower performance rate, while flexible hours are associated with a higher performance rate.

Keywords: User-generated content; Crowdsourcing; Contest; Multitasking (search for similar items in EconPapers)
JEL-codes: L17 L86 M15 (search for similar items in EconPapers)
Date: 2018
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