众包
透视图(图形)
适度
质量(理念)
趋同(经济学)
结果(博弈论)
计算机科学
清晰
认知心理学
知识管理
认知
认知负荷
社会心理学
心理学
人工智能
经济
万维网
微观经济学
神经科学
哲学
化学
认识论
生物化学
经济增长
作者
Xusen Cheng,Shixuan Fu,Triparna de Vreede,Gert-Jan de Vreede,Isabella Seeber,Ronald Maier,Barbara Weber
标识
DOI:10.1080/07421222.2020.1759344
摘要
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.
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