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Crowd Science: Measurements, Models, and Methods

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  • Prpić, John

Abstract

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. Prpić, J., & Shukla, P. (2016). Crowd Science: Measurements, Models, and Methods. Proceedings of the Hawaii International Conference on System Sciences #49. January 2016, Kauai, Hawaii, USA. IEEE Computer Society Press.

Suggested Citation

  • Prpić, John, 2017. "Crowd Science: Measurements, Models, and Methods," SocArXiv ujx8j_v1, Center for Open Science.
    • Handle: RePEc:osf:socarx:ujx8j_v1
    DOI: 10.31219/osf.io/ujx8j_v1
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    1. Hristos Doucouliagos & Mehmet Ali Ulubaşoğlu, 2008. "Democracy and Economic Growth: A Meta‐Analysis," American Journal of Political Science, John Wiley & Sons, vol. 52(1), pages 61-83, January.
    2. Prpić, John & Shukla, Prashant P. & Kietzmann, Jan H. & McCarthy, Ian P., 2015. "How to work a crowd: Developing crowd capital through crowdsourcing," Business Horizons, Elsevier, vol. 58(1), pages 77-85.
    3. Lars Bo Jeppesen & Karim R. Lakhani, 2010. "Marginality and Problem-Solving Effectiveness in Broadcast Search," Organization Science, INFORMS, vol. 21(5), pages 1016-1033, October.
    4. repec:reg:rpubli:460 is not listed on IDEAS
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