Attracting Solutions in Crowdsourcing Contests: The Role of Knowledge-Distance, Identity Disclosure, and Seeker Status
Attracting Solutions in Crowdsourcing Contests: The Role of Knowledge-Distance, Identity Disclosure, and Seeker Status
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DOI：
10.1016/j.respol.2018.07.022
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发表时间：
2019-02
期刊：
影响因子：
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通讯作者：
P. Pollok;Dirk Lüttgens;F. Piller
中科院分区：
文献类型：
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作者：
P. Pollok;Dirk Lüttgens;F. Piller
我们调查的背景下，众包如何寻求者可以增加开放式创新的性能，衡量收到的解决方案的关注，通过两个战略决策：选择创新的任务，非常适合众包和选择之间的潜力，通过身份披露的状态信号与享受匿名的好处。借鉴不确定性减少理论，我们建议，一个明确的问题陈述减少潜在的解决者的不确定性，并增加他们的参与意愿。我们认为，求职者起草高质量的问题陈述的能力取决于问题域和他们目前的知识存量之间的距离。对637个众包项目的分析发现，问题寻求者的知识距离和解决者的注意力是曲线相关的，中等水平的知识距离最大限度地提高解决者的参与。然而，从事基于身份的状态信号的高地位寻求者能够从跨越问题寻求者知识距离各个级别的众包中受益。
We investigate in the context of crowdsourcing how seekers can increase open innovation performance, measured as received solver attention, by making two strategic decisions: selecting innovation tasks that are well suited for crowdsourcing and choosing between the potentials of status signalling through identity disclosure versus enjoying the benefits of anonymity. Drawing on uncertainty reduction theory, we suggest that a well-articulated problem statement reduces uncertainties of potential solvers and increases their willingness to participate. We argue that the ability of seekers to draft high-quality problem statements depends on the distance between the problem domain and their current knowledge stock. An analysis of 637 crowdsourcing projects finds that problem-seeker knowledge distance and received solver attention are curvilinear related such that moderate levels of knowledge distance maximize solver participation. However, high-status seekers who engage in identity-based status signalling are able to benefit from crowdsourcing across all levels of problem-seeker knowledge distance.