Crowdsourcing: Analysis of the phenomenon, empirical evidences in Firms

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dc.contributor.advisor Vaia, Giovanni it_IT
dc.contributor.author Dominici, Nicola <1993> it_IT
dc.date.accessioned 2019-10-06 it_IT
dc.date.accessioned 2020-05-08T05:13:19Z
dc.date.issued 2019-11-05 it_IT
dc.identifier.uri http://hdl.handle.net/10579/15896
dc.description.abstract The present work aims at studying the characteristics of Crowdsourcing, a business model in which the development of a project, a service or a product is delegated to a group of people not already organized in a team, the Crowd, through the Internet, by an individual, a company or an institution, the Crowdsourcer. The thesis is composed of three chapters. In the first, given the difficulty of defining and categorizing the theme, we start from the distinction of Crowdsourcing from other similar concepts that are often confused with it, explaining differences. Then we analyze the sector in which the Crowdsourcing is currently used, from the point of view of the intermediation platforms between Crowd and Crowdsourcer. In particular, the various aspects of the phenomenon is divided into four different kinds of platforms. The second chapter analyzes the Crowdsourcing business model, focusing on its strengths and weaknesses, in order to understand its potential application, through the use of the Canvas Business Model and a Swot analysis. The third chapter is about the case study: Roamler, we analyze how this firm use Crowdsourcing as a core business, and analyze a model in which other business could leverage on crowdsourcing to gain a competitive advantage. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Nicola Dominici, 2019 it_IT
dc.title Crowdsourcing: Analysis of the phenomenon, empirical evidences in Firms it_IT
dc.title.alternative Crowdsourcing: Analysis of the phenomenon it_IT
dc.type Master's Degree Thesis it_IT
dc.degree.name Economia e gestione delle aziende it_IT
dc.degree.level Laurea magistrale it_IT
dc.degree.grantor Dipartimento di Management it_IT
dc.description.academicyear 2018/2019, sessione autunnale it_IT
dc.rights.accessrights closedAccess it_IT
dc.thesis.matricno 867897 it_IT
dc.subject.miur SECS-P/08 ECONOMIA E GESTIONE DELLE IMPRESE it_IT
dc.description.note it_IT
dc.degree.discipline it_IT
dc.contributor.co-advisor it_IT
dc.date.embargoend 10000-01-01
dc.provenance.upload Nicola Dominici (867897@stud.unive.it), 2019-10-06 it_IT
dc.provenance.plagiarycheck Giovanni Vaia (g.vaia@unive.it), 2019-10-21 it_IT


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