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Crowd Science: Measurements, Models, and Methods
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
Beedie School of Business, Simon Fraser University and Rotman School of Management, University of Toronto, Accenture Institute for High Performance, Boston.
2016 (English)In: 2016 49th Hawaii International Conference on System Sciences (HICSS 2016): Hawaii, USA, 5-8 January 2016 / [ed] T.X. Bui; R.H. Sprague, Piscataway, NJ: IEEE Communications Society, 2016, 4365-4374 p.Conference paper (Refereed)
Abstract [en]

The increasing practice of engaging crowds, whereorganizations use IT to connect with dispersedindividuals for explicit resource creation purposes,has precipitated the need to measure the preciseprocesses and benefits of these activities over myriaddifferent implementations. In this work, we seek toaddress these salient and non-trivial considerationsby laying a foundation of theory, measures, andresearch methods that allow us to test crowdengagementefficacy across organizations, industries,technologies, and geographies. To do so, we anchorourselves in the Theory of Crowd Capital, ageneralizable framework for studying IT-mediatedcrowd-engagement phenomena, and put forth anempirical apparatus of testable measures andgeneralizable methods to begin to unify the field ofcrowd science.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2016. 4365-4374 p.
Series
, Annual Hawaii International Conference on System Sciences. Proceedings, ISSN 1060-3425
Research subject
Industrial Marketing
Identifiers
URN: urn:nbn:se:ltu:diva-37463DOI: 10.1109/HICSS.2016.542Local ID: b7ff799d-1298-4fd7-8fda-6c3e77793e41ISBN: 978-0-7695-5670-3OAI: oai:DiVA.org:ltu-37463DiVA: diva2:1010961
Conference
Hawaii International Conference on System Sciences : 05/01/2016 - 08/01/2016
Note
Validerad; 2016; Nivå 1; 20160614 (andbra)Available from: 2016-10-03 Created: 2016-10-03Bibliographically approved

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