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• W4364377879 startingPage "103790" @default.
• W4364377879 abstract "In crowdsourcing contests, seekers face a decision about how to strategically provide feedback to solvers, thereby impacting solvers’ submission behavior. Despite considerable interest in seeker feedback, extant literature lacks a thorough understanding of it. This study, in particular, examines how rating feedback can encourage the submission behavior of solvers from three aspects: the level of rating, the dispersion of rating, and the first rating timing. Based on a sample of 37,881 unique observations from 99design.com, empirical analysis indicates that the level of rating has a curvilinear effect on a solver's submission behavior, suggesting that seekers can benefit the most from a moderate level of ratings in crowdsourcing contests. This study further finds that solvers who receive a large dispersion of ratings are more likely to contribute submissions in a contest. Finally, results show that providing a lower position of first rating is positively related to submission behavior. These results contribute some implications in both theory and practice." @default.
• W4364377879 created "2023-04-12" @default.
• W4364377879 creator A5043296112 @default.
• W4364377879 creator A5052123112 @default.
• W4364377879 date "2023-07-01" @default.
• W4364377879 modified "2023-09-23" @default.
• W4364377879 title "The role of rating feedback and its implications for solver submission behavior in crowdsourcing contests" @default.
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• W4364377879 doi "https://doi.org/10.1016/j.im.2023.103790" @default.
• W4364377879 hasPublicationYear "2023" @default.
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