2017/02/13 by John Prpić, J. Prpic, Prpic, J. +2
Computer Science · Physics and Astronomy · Social Sciences · #Complex Network Analysis Techniques #Computers and Society (cs.CY) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Knowledge Management and Sharing #Open Source Software Innovations #cs.CY #cs.HC
paper · pdf · doi:10.48550/arxiv.1702.04221
Proceedings of the Hawaii International Conference on System Sciences #49. January 2016, Kauai, Hawaii, USA. IEEE Computer Society Press
arxiv created 2017/02/13 · openalex publication_date 2017/02/13 · arxiv updated 2017/02/15 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The increasing practice of engaging crowds, where organizations use IT to connect with dispersed individuals for explicit resource creation purposes, has precipitated the need to measure the precise processes and benefits of these activities over myriad different implementations. In this work, we seek to address these salient and non-trivial considerations by laying a foundation of theory, measures, and research methods that allow us to test crowd-engagement efficacy across organizations, industries, technologies, and geographies. To do so, we anchor ourselves in the Theory of Crowd Capital, a generalizable framework for studying IT-mediated crowd-engagement phenomena, and put forth an empirical apparatus of testable measures and generalizable methods to begin to unify the field of crowd science.