2021
DOI: 10.1287/isre.2020.0982
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Winning by Learning? Effect of Knowledge Sharing in Crowdsourcing Contests

Abstract: Crowdsourcing is a new way for online crowds to get involved in a company’s research and development process. Businesses can host public contests on online platforms (such as Kaggle, Topcoder, and Tongal) to seek new product ideas and technological solutions. In the contest communities, members usually have a “coopetitive” relationship: they compete against each other for the contest prize, while at the same time also cooperate with each other by sharing information and knowledge. This work investigates the ef… Show more

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Cited by 28 publications
(28 citation statements)
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“…We hypothesised this boundary condition would emerge based on cognitive diversity and this finding challenges the implicit assumption that participants in online communities benefit equally (Faraj et al, 2011; Faraj et al, 2016). This finding joins with the work of others (e.g., Jin et al, 2021) who demonstrate important contingencies on the benefits of communtition platforms. Our work clearly shows that not everyone benefits equally from the introduction of an online community.…”
Section: Discussionsupporting
confidence: 90%
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“…We hypothesised this boundary condition would emerge based on cognitive diversity and this finding challenges the implicit assumption that participants in online communities benefit equally (Faraj et al, 2011; Faraj et al, 2016). This finding joins with the work of others (e.g., Jin et al, 2021) who demonstrate important contingencies on the benefits of communtition platforms. Our work clearly shows that not everyone benefits equally from the introduction of an online community.…”
Section: Discussionsupporting
confidence: 90%
“…One of the key benefits of online communities is the learning and experience new participants develop as they engage with the community (Archak & Ghose, 2010; Chen et al, 2018; Jin et al, 2021; Mamykina et al, 2016). So, the introduction of an online community to a crowdsourcing contest platform may disproportionally benefit less experienced contestants.…”
Section: Conceptual Backgroundmentioning
confidence: 99%
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“…This helps create an atmosphere for innovation within the community, promote the knowledge exchange and sharing among users, consolidate the collaborative psychology in remix, and offer more possibilities for remix. Finally, there will be more remixes within the community, thus improving the community performance in remix ( Rodan and Galunic, 2004 ; Cao and Yang, 2015 ; Jin et al, 2021 ). However, too high knowledge endowment heterogeneity will result in an excessively heterogenous cognition and value judgment among users, a too strong conflicting psychology, and ultimately a reduction in the remix performance within the community.…”
Section: Literature Review and Research Hypothesismentioning
confidence: 99%