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Motivations and solution appropriateness in crowdsourcing challenges for innovation

机译：创新众包挑战的动机和解决方案拟施

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Crowdsourcing challenges are fast emerging as an effective tool for solving complex innovation problems. The main strength of the crowdsourcing model is that it brings together a large number of diverse people from all over the world to focus on solving a problem. This openness, however, results in a large number of solutions that are not appropriate, and this inhibits organizations from leveraging the value of crowdsourcing efficiently and effectively. It is therefore essential to identify ways to increase the appropriateness of solutions generated in a crowdsourcing challenge. This paper takes a step towards that by exploring what motivates the crowd to participate in these challenges and how these motivations relate to solution appropriateness. Drawing on data from InnoCentive, one of the largest .crowdsourcing platforms for innovation problems, this paper shows that the various types of motivation driving crowd members to participate were related in different ways to the appropriateness of the solutions generated. In particular, intrinsic and extrinsic motivation were positively related to appropriateness whereas for learning and prosocial motivation the relationship was negative. The association between social motivation and appropriateness was not significant. The results have important implications for how to better design crowdsourcing challenges.
机译：众群挑战是一种快速的新兴，作为解决复杂创新问题的有效工具。众包模型的主要优势在于它汇集了来自世界各地的大量不同的人，专注于解决问题。然而，这种开放性导致大量不合适的解决方案，这禁止组织利用有效且有效地利用众包的价值。因此，必须确定增加众包挑战所产生的解决方案的适当性的方法。本文通过探索促进人群参与这些挑战以及这些动机如何与解决方案适当性有关的措施来迈出一步。本文绘制了来自Innocentive的数据，其中一个最大的创新问题的平台之一。表明，各种类型的动机驱动人群成员以不同的方式与产生的解决方案的适当性有关。特别地，内在和外在的动机与适当性呈正相关，而对于学习和女性激励这种关系是消极的。社会动机与适当性之间的关联并不重要。结果对如何更好地设计众包挑战具有重要意义。

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