Exploring Idea Convergence and Conceptual Combination in Open Innovative Crowdsourcing from a Cognitive Load Perspective
Files
Date
2019-01-08
Contributor
Advisor
Department
Instructor
Depositor
Speaker
Researcher
Consultant
Interviewer
Narrator
Transcriber
Annotator
Journal Title
Journal ISSN
Volume Title
Publisher
Volume
Number/Issue
Starting Page
Ending Page
Alternative Title
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 effects 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 effects: 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.
Description
Keywords
Creativity: Research and Practice, Collaboration Systems and Technologies, Cognitive load, Idea convergence, Conceptual combination, Open innovative crowdsourcing, Mass collaboration
Citation
Extent
10 pages
Format
Geographic Location
Time Period
Related To
Proceedings of the 52nd Hawaii International Conference on System Sciences
Related To (URI)
Table of Contents
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International
Rights Holder
Local Contexts
Collections
Email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.