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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.

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Journal ArticleDOI

Let me choose what I want: The influence of incentive choice flexibility on the quality of crowdsourcing solutions to innovation problems

TL;DR: In this article , the authors investigate how providing participants with incentive choice flexibility impacts solution quality and find that participants who have an opportunity to choose their preferred incentive spend much more time developing their solutions and come up with higher quality solutions than those who are offered a single incentive option.

Methods and tools to support New Product Development tasks

TL;DR: In this paper, the authors propose a tool, namely Four Dimensions framework, that urges designers looking for new customer requirements through the mapping of General Demands, Stakeholders, Life Cycle and Systems.
Proceedings Article

Sustaining Participant Involvement in Crowdsourcing Contests through Collaboration

TL;DR: This study uses data from the Kaggle website that holds online data science competitions in which individuals submit their proposed solutions with the best solutions being rewarded and shows that individuals who receive more attention from other members tend to come back and maintain their participation in the platform.
Proceedings Article

Using Crowd-Based Data Selection to Improve the Predictive Power of Search Trend Data

TL;DR: An online word association task is developed that taps into people's "thought-collection" process when thinking about a focal term and yields predictions that are equivalent or superior to those obtained in previous studies and to predictions obtained using various benchmark data selection methods.
Journal ArticleDOI

Les stratégies de crowdsourcing pour innover : quels enjeux ? Le cas des banques françaises

TL;DR: In this paper, the enjeux du recours au crowdsourcing for innover dans le secteur bancaire are explored, e.g., for des raisons juridiques ou strategiques.
References
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