Crowdsourcing in real time. Number of workers and Expected Waiting Time: the trade-off in the Retainer Model.

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dc.contributor.advisor Ferretti, Paola it_IT
dc.contributor.author Furlanetto, Giovanni <1988> it_IT
dc.date.accessioned 2013-10-09 it_IT
dc.date.accessioned 2013-12-03T12:20:47Z
dc.date.available 2015-01-17T09:36:16Z
dc.date.issued 2013-10-28 it_IT
dc.identifier.uri http://hdl.handle.net/10579/3902
dc.description.abstract Crowdsourcing, as a “participative online activity in which an individual, an institution, a non-profit organization, or company proposes to a group of individuals of varying knowledge, heterogeneity, and number, via a flexible open call, the voluntary undertaking of a task” (Estellés-Arolas and González-Ladrón-de-Guevara, 2012), is becoming more and more popular. The application of crowdsourcing in real time is something that the crowdsourcing world is studying and trying to solve, knowing its potentialities concerning the future of marketing, security and some phone applications that would simplify everyday life. If crowdsourcing is the encounter between different intelligences, realtime crowdsourcing represents the desire that this meeting produces a response in the shortest possible time. This thesis wants to study the characteristics of the Retainer Model, a model that mathematically analyzes crowdsourcing in real time, analyzing and studying the function of total cost of hiring some workers and the Expected Waiting Time for a new incoming task. It wants to identify the reasons of the existence of a minimum stationary point that represents the minimum number of workers optimizing the Retainer Model’s trade-off, as much as an algorithm to automatically find this optimal number. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Giovanni Furlanetto, 2013 it_IT
dc.title Crowdsourcing in real time. Number of workers and Expected Waiting Time: the trade-off in the Retainer Model. it_IT
dc.title.alternative it_IT
dc.type Bachelor Thesis it_IT
dc.degree.name Economia - economics it_IT
dc.degree.level Laurea magistrale it_IT
dc.degree.grantor Dipartimento di Economia it_IT
dc.description.academicyear 2012/2013, sessione autunnale it_IT
dc.rights.accessrights openAccess it_IT
dc.thesis.matricno 838665 it_IT
dc.subject.miur MAT/05 ANALISI MATEMATICA it_IT
dc.description.note it_IT
dc.degree.discipline it_IT
dc.contributor.co-advisor it_IT
dc.provenance.upload Giovanni Furlanetto (838665@stud.unive.it), 2013-10-09 it_IT
dc.provenance.plagiarycheck Paola Ferretti (ferretti@unive.it), 2013-10-21 it_IT


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