Journal ArticleDOI
Crowdsourcing New Product Ideas Over Time: An Analysis of Dell's Ideastorm Community
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TLDR
Studying Dell's IdeaStorm community, serial ideators are found to be more likely than consumers with only one idea to generate an idea the organization finds valuable enough to implement, but they are unlikely to repeat their early success once their ideas are implemented.Abstract:
Several organizations have developed ongoing crowdsourcing communities that repeatedly collect ideas for new products and services from a large, dispersed “crowd” of non-experts (consumers) over time. Despite its promises, little is known about the nature of an individual’s ideation efforts in such an online community. Studying Dell’s IdeaStorm community, serial ideators are found to be more likely than consumers with only one idea to generate an idea the organization find valuable enough to implement, but are unlikely to repeat their early success once their ideas are implemented. As ideators with past success attempt to again come up with ideas that will excite the organization, they instead end up proposing ideas similar to their ideas that were already implemented (i.e., they generate less diverse ideas). The negative effects of past success are somewhat mitigated for ideators with diverse commenting activity on others’ ideas. These findings highlight some of the challenges in maintaining an ongoing supply of quality ideas from the crowd over time.read more
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Dissertation
Innover avec la foule : une étude du processus d'adoption du crowdsourcing
TL;DR: In this paper, the authors investigate the influence of facteurs on the adoption of crowdsourcing for innover in six entreprises, and identify the facteur who vont influencer le processus.
Journal ArticleDOI
Understanding Solvers' Continuance Intention in Crowdsourcing Contest Platform: An Extension of Expectation-Confirmation Model
Meng Meng Wang,Jian Jun Wang +1 more
TL;DR: Empirical results show that satisfaction, perceived benefits, and platform trust, which are positively associated with confirmation, are three significant antecedents of solvers’ continuance intention.
Journal ArticleDOI
How Firms Can Get Ideas from Users for Sustainable Business Innovation
Chanwoo Cho,Sungjoo Lee +1 more
TL;DR: In this paper, a typology of user innovation models, which consist of four types including workshop-based, consortiumbased, crowdsourcing-based and platform-based is proposed.
Book ChapterDOI
Fostering Collaboration by Location-Based Crowdsourcing
TL;DR: A typology for LBCS is suggested as a means for fostering collaboration with the crowd through three types of LBCs: confirmation- based, digital good-based, and physical-based which is underpinned with exemplary applications.
Journal ArticleDOI
Finding the diamond in the rough: Exploring communication and platform in crowdsourcing performance
Kristen Guth,Daren C. Brabham +1 more
TL;DR: The Peer Vetted Ideas model is proposed as an explanation of elements that affect performance in crowdsourcing for creative ideation solutions and indicates that crowdsourcing is not always a meritocratic process to produce the objective “best” ideas, but rather depends on subjective communicative, temporal, and platform factors.
References
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Journal ArticleDOI
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