Crowd Science: Measurements, Models, and Methods

作者: John Prpic , Prashant Shukla

DOI: 10.1109/HICSS.2016.542

关键词:

摘要: The increasing practice of engaging crowds, where organizations use IT to connect with dispersed individuals for explicit resource creation purposes, has precipitated the need measure precise processes and benefits these activities over myriad different implementations. In this work, we seek address salient non-trivial considerations by laying a foundation theory, measures, research methods that allow us test crowd-engagement efficacy across organizations, industries, technologies, geographies. To do so, anchor ourselves in Theory Crowd Capital, generalizable framework studying IT-mediated phenomena, put forth an empirical apparatus testable measures begin unify field crowd science.

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