Crowd Dynamics and Crowd Capital in Small Teams: Insights from three crowdsourcing exercises in higher education
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This article aims to empirically study “crowd” dynamics in small teams and complement the work presented in Tucci et al. [2016], and Tucci and Viscusi [2017]. As in previous papers, we use as theoretical lens the framework and related typology of “crowd” d ...
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This article aims to study crowd dynamics in small teams. In particular we are specifically interested to internal crowdsourcing as a venue for innovation and new ideas production, questioning the difference with regard to other cooperative models based, e ...
This 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 ...
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In this paper, we provide guidelines for strategically using crowds as part of a crowdsourcing strategy and an open innovation portfolio. We start by defining crowd organisations as sustained through a crowd of loosely coupled and equally aligned agents th ...
2016
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In this paper, we provide guidelines for strategically using crowds as part of a crowdsourcing strategy and an open innovation portfolio. We start by defining crowd organizations as sustained through a crowd of loosely coupled and mutually aligned agents t ...
2015
Machine learning applications can benefit greatly from vast amounts of data, provided that reliable labels are available. Mobilizing crowds to annotate the unlabeled data is a common solution. Although the labels provided by the crowd are subjective and no ...
