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dc.contributor.authorSmaldone, Francesco
dc.date.accessioned2023-02-23T09:44:55Z
dc.date.available2023-02-23T09:44:55Z
dc.date.issued2021-11-02
dc.identifier.urihttp://elea.unisa.it:8080/xmlui/handle/10556/6434
dc.identifier.urihttp://dx.doi.org/10.14273/unisa-4506
dc.description2019 - 2020it_IT
dc.description.abstractIn the current scenario, the increasing attention to big data realities is causing firms to develop new tools for corporate management, touching several realities from the marketing compart to the HR management. In the context of today’s rapid technological development and its application in a growing array of fields, the role of big data is simultaneously evolving. The present doctoral thesis provides insights into the current expectations of employers seeking to hire individuals. Profiling was conducted by harvesting relevant data from job ads published in a US employment website, which currently attracts the US market's highest recruitment traffic. This research aims to identify the skills, experience, and qualifications sought by employers in several industries and for several professionals, also indicating to candidates the tangible parameters that would increase their employability in such a role. [edited by Author]it_IT
dc.language.isoenit_IT
dc.publisherUniversita degli studi di Salernoit_IT
dc.subjectBig data analyticsit_IT
dc.subjectCorporate profilingit_IT
dc.subjectText miningit_IT
dc.titleCorporate profiling: text analytics for employability skills miningit_IT
dc.typeDoctoral Thesisit_IT
dc.subject.miurSECS-P/08 ECONOMIA E GESTIONE DELLE IMPRESEit_IT
dc.contributor.coordinatoreAntonelli, Valerioit_IT
dc.description.cicloXXXIII cicloit_IT
dc.contributor.tutorPellicano, Marcoit_IT
dc.identifier.DipartimentoScienze aziendali - Management & information systemsit_IT
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