Exploring Idea Convergence and Conceptual Combination in Open Innovative Crowdsourcing from a Cognitive Load Perspective

Shixuan Fu, Xusen Cheng, Triparna de Vreede, Gert-Jan de Vreede, Isabella Seeber, Ronald Maier, Barbara Weber

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Abstract

Open innovative crowdsourcing has received increasing attention. This study sets out to investigate idea convergence and generation in open innovative crowdsourcing communities from a cognitive load perspective to explore aspects of cognitive idea processing. We have conducted a laboratory experiment to investigate the ef ects of three manipulations (task complexity, idea presentation, and procedural guidance) on three types of cognitive load and the following idea convergence and generation quality. We have also examined the influencing mechanisms of cognitive loads on satisfaction with process and satisfaction with outcome. Our results show that the three cognitive loads have significant ef ects: Higher intrinsic cognitive load significantly leads to lower satisfaction with process and outcome. Higher extraneous cognitive load significantly leads to satisfaction with process. Higher germane cognitive load significantly leads to higher convergence quality and lower new idea generation quality
Original languageEnglish
Title of host publicationProceedings of the 52nd Hawaii International Conference on System Sciences 2019
Publication date2019
Pages315-24
ISBN (Print)978-0-9981331-2-6
DOIs
Publication statusPublished - 2019
Event52nd Hawaii International Conference on System Sciences 2019 - Grand Wailea, Maui, United States
Duration: 8 Jan 201911 Jan 2019

Conference

Conference52nd Hawaii International Conference on System Sciences 2019
LocationGrand Wailea
CountryUnited States
CityMaui
Period08/01/201911/01/2019

Cite this

Fu, S., Cheng, X., de Vreede, T., de Vreede, G-J., Seeber, I., Maier, R., & Weber, B. (2019). Exploring Idea Convergence and Conceptual Combination in Open Innovative Crowdsourcing from a Cognitive Load Perspective. In Proceedings of the 52nd Hawaii International Conference on System Sciences 2019 (pp. 315-24) https://doi.org/http://hdl.handle.net/10125/59472