000267862 001__ 267862
000267862 005__ 20190708134234.0
000267862 037__ $$aPOST_TALK
000267862 245__ $$aCrowd Dynamics and Crowd Capital: Insights from Five Years of contests in Higher Education
000267862 260__ $$c2019-06-30
000267862 269__ $$a2019-06-30
000267862 336__ $$aPosters
000267862 513__ $$aPosters
000267862 520__ $$aThis article aims to study “crowd” dynamics in small teams on the basis of the work presented in Tucci et al. [2016; 2017] and discussed below. Another goal of the study is to provide the setting for experiments in business domains to investigate how crowd characteristics may lower or increase “crowd capital,” here defined as the total number of crowd units having a demonstrated effectiveness in idea generation or task achievement [Tucci et al. 2016]. In particular, the definition focuses on the internal resources of an organization rather than its inner context as “structure, corporate culture, and political context within the firm through which ideas for change have to proceed”[Pettigrew 1987, p.657]. The above definition of crowd capital adopts a more outcome-oriented perspective compared to other definitions emerging from this research stream [Lenart-Gansiniec 2016], complementing the early conceptualization by Prpić et al.,[Prpić and Shukla 2013; Prpić et al. 2015]. Finally, the article aims to contribute to the research on coordination in temporary groups [Valentine and Edmondson 2014] as well as on how to dynamically assemble and manage paid experts from the crowd through flash teams [Retelny et al. 2014]. The paper is structured as follows. First, the theoretical background of the research is discussed. Then, the four studies are outlined. We conclude with a discussion of the main results and final remarks.
000267862 542__ $$fCC BY
000267862 6531_ $$aCrowdsourcing
000267862 6531_ $$aCrowd capital
000267862 6531_ $$aCollective intelligence
000267862 6531_ $$aFlash teams
000267862 700__ $$0247871$$aViscusi, Gianluigi$$g242706
000267862 700__ $$0243638$$aTucci, Christopher$$g162370
000267862 7112_ $$aCollective Intelligence 2019 (CI2019)$$cCarnegie Mellon University, Pittsburgh, USA$$dJune 13-14, 2019
000267862 8560_ $$fgianluigi.viscusi@epfl.ch
000267862 909C0 $$zPanes, Mathilde$$xU10935$$pCSI$$malexandra.vonschack@epfl.ch$$0252251
000267862 909CO $$ooai:infoscience.epfl.ch:267862$$pposter$$ppresentation$$pCDM
000267862 960__ $$agianluigi.viscusi@epfl.ch
000267862 961__ $$apierre.devaud@epfl.ch
000267862 973__ $$aEPFL$$sPUBLISHED
000267862 980__ $$aPOST_TALK
000267862 981__ $$aoverwrite