ABSTRACT Open innovation crowdsourcing enables online crowds to quickly generate a plethora of creative ideas. A key challenge is the convergence of ideas for further consideration from massive numbers of candidate ideas with diverse quality. Based on Cognitive Load Theory, we executed a laboratory experiment to test the associations between three types of cognitive load manipulations and idea convergence outcomes. Our findings show that germane cognitive load positively correlates with idea convergence quality, satisfaction with process, and satisfaction with outcome. Intrinsic cognitive load is negatively associated with satisfaction with process and satisfaction with outcome, while extraneous cognitive load negatively correlates only with satisfaction with outcome. We further identified the positive moderation role of knowledge self-efficacy, perceived goal clarity, and need for cognition on the relationships between germane cognitive load and idea convergence quality. Our findings can inform open innovation organizers when designing tasks and interventions to improve convergence outcomes.

中文翻译：

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开放式创新众包中的理念融合质量：认知负荷视角

摘要 开放式创新众包使在线人群能够快速产生大量创意。一个关键的挑战是从大量具有不同质量的候选想法中融合想法以供进一步考虑。基于认知负荷理论，我们执行了一项实验室实验，以测试三种类型的认知负荷操作与想法收敛结果之间的关联。我们的研究结果表明，密切的认知负荷与想法收敛质量、过程满意度和结果满意度呈正相关。内在认知负荷与过程满意度和结果满意度呈负相关，而外在认知负荷仅与结果满意度呈负相关。我们进一步确定了知识自我效能感的正向调节作用，感知目标清晰度，以及对相关认知负荷和想法收敛质量之间关系的认知需求。我们的发现可以在设计任务和干预措施以改善融合结果时为开放式创新组织者提供信息。