dc.contributor.author | Zagaria, Nicola | |
dc.date.accessioned | 2023-05-16T12:48:22Z | |
dc.date.available | 2023-05-16T12:48:22Z | |
dc.date.issued | 2021-11-11 | |
dc.identifier.uri | http://elea.unisa.it/xmlui/handle/10556/6588 | |
dc.identifier.uri | http://dx.doi.org/10.14273/unisa-4653 | |
dc.description | 2018 - 2019 | it_IT |
dc.description.abstract | In the study, we saw that criminal organizations commit crimes for many
reasons but the most important of them is to make a profit and get value or money.
These crimes are "predicate offenses" for money laundering and cover any crime
that generates illegal proceeds. The criminal's ultimate goal is to conceal the illegal
origin of these proceeds through a series of money laundering techniques designed
to "clean up" the earnings and re-insert them into the real economy.
In particular, in this research work, we have studied the phenomenon of
recycling from a triple point of view: the legal one, that of the protagonists of the
phenomenon, and finally that of the best techniques and/or technologies to be
adopted to combat it. At the moment, an articulated national and/or international
control system has been created, supported by a legislative base and based on
economic and non-economic operators, without however equipping it with
adequate support of research, technology, and specialized professionals. The new
frontier of recycling is the internet, understood in all its forms and possible
applications. .. [edited by Author] | it_IT |
dc.language.iso | it | it_IT |
dc.publisher | Universita degli studi di Salerno | it_IT |
dc.subject | Riciclaggio | it_IT |
dc.subject | Antiriciclaggio | it_IT |
dc.subject | Big data | it_IT |
dc.title | Riciclaggio e nuove tecnologie: fenomeno globale tra prevenzione integrata e strumenti repressivi innovativi | it_IT |
dc.type | Doctoral Thesis | it_IT |
dc.subject.miur | ING-IND/17 IMPIANTI INDUSTRIALI MECCANICI | it_IT |
dc.contributor.coordinatore | Antonelli, Valerio | it_IT |
dc.description.ciclo | XXXII ciclo | it_IT |
dc.contributor.tutor | Agostino, Rosa Maria | it_IT |
dc.identifier.Dipartimento | Scienze Aziendali, Management & Innovation Systems | it_IT |