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Dataset in support of the Southampton Doctoral Thesis 'Perspectives of Academics, Prosecutors, Law enforcement agents, Journalists and other stakeholders on the trends of illegal investments in the UK real estate sector'

Dataset in support of the Southampton Doctoral Thesis 'Perspectives of Academics, Prosecutors, Law enforcement agents, Journalists and other stakeholders on the trends of illegal investments in the UK real estate sector'
Dataset in support of the Southampton Doctoral Thesis 'Perspectives of Academics, Prosecutors, Law enforcement agents, Journalists and other stakeholders on the trends of illegal investments in the UK real estate sector'
The data collected for this academic investigation involves 22 semi-structured interviews conducted with academics who had international expertise and practitioners that were prosecutors, law enforcement agents, experts in financial investigations, lawyers, real estate community, investigative journalists, asset recovery experts, Non-governmental organisations (NGO), policy institutes/’think tanks’. Before the data gathering started, relevant information on potential interviewees was collected via the internet, mass media publications, scholarly articles, and the websites of international organisations to select individuals who were directly or indirectly linked to the research topic from a legislative/criminological standpoint in order to create a matrix. The process of selecting interviewees was based on purposive sampling and snowball sampling. In the case of purposive sampling the interviewees were chosen as eligible for this study due to their rich knowledge of the investments of criminal proceeds in the UK real estate market. Snowball sampling, on the contrary, enabled me to access other groups of interviewees, through my initial participants. The participants in this study were accessed via e-mails/telephone calls/LinkedIn, through personal networks (through my legal and academic background) and through events such as conferences. The interviews were audio-recorded as part of their consent. The average length of interviews lasted from 35-45 minutes. In this study the process involved collecting data from two different countries, the UK and Italy, through semi-structured interviews with multiple actors with first-hand knowledge on this research topic. The interviews were transcribed and uploaded on NVivo software for coding aim.
organised crime; organised crime mobility abroad; Italian organised crime groups; Russian organised crime groups; organised crime infiltration; the UK real estate sector; money laundering schemes; crime enablers, the UK real estate legislation; the UK anti-money laundering legislation; socio-economic consequences; law enforcement strategy/operations
University of Southampton
Sclafani, Emanuele
27857d0e-6716-46a6-a4d0-51e354ac26f7
Fleming, Jenny
61449384-ccab-40b3-b494-0852c956ca19
Lavorgna, Anita
6e34317e-2dda-42b9-8244-14747695598c
Sclafani, Emanuele
27857d0e-6716-46a6-a4d0-51e354ac26f7
Fleming, Jenny
61449384-ccab-40b3-b494-0852c956ca19
Lavorgna, Anita
6e34317e-2dda-42b9-8244-14747695598c

Sclafani, Emanuele (2022) Dataset in support of the Southampton Doctoral Thesis 'Perspectives of Academics, Prosecutors, Law enforcement agents, Journalists and other stakeholders on the trends of illegal investments in the UK real estate sector'. University of Southampton doi:10.5258/SOTON/D2396 [Dataset]

Record type: Dataset

Abstract

The data collected for this academic investigation involves 22 semi-structured interviews conducted with academics who had international expertise and practitioners that were prosecutors, law enforcement agents, experts in financial investigations, lawyers, real estate community, investigative journalists, asset recovery experts, Non-governmental organisations (NGO), policy institutes/’think tanks’. Before the data gathering started, relevant information on potential interviewees was collected via the internet, mass media publications, scholarly articles, and the websites of international organisations to select individuals who were directly or indirectly linked to the research topic from a legislative/criminological standpoint in order to create a matrix. The process of selecting interviewees was based on purposive sampling and snowball sampling. In the case of purposive sampling the interviewees were chosen as eligible for this study due to their rich knowledge of the investments of criminal proceeds in the UK real estate market. Snowball sampling, on the contrary, enabled me to access other groups of interviewees, through my initial participants. The participants in this study were accessed via e-mails/telephone calls/LinkedIn, through personal networks (through my legal and academic background) and through events such as conferences. The interviews were audio-recorded as part of their consent. The average length of interviews lasted from 35-45 minutes. In this study the process involved collecting data from two different countries, the UK and Italy, through semi-structured interviews with multiple actors with first-hand knowledge on this research topic. The interviews were transcribed and uploaded on NVivo software for coding aim.

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READ_ME_FILE_FOR_Perspectives_of_Academics_Prosecutors_Law_enforcement_agents_Journalists_and_other_stakeholders_on_the_trends_of_illegal_investments_in_the_UK_real_estate_sector_.txt - Dataset
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Perspectives_of_Academics_Prosecutors_Law_enforcement_agents_Journalists_and_other_stakeholders_on_the_trends_of_illegal_investments_in_the_UK_real_estate_sector.docx - Dataset
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Consent_Form.docx - Dataset
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Participant_information_sheet.docx - Dataset
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More information

Published date: November 2022
Keywords: organised crime; organised crime mobility abroad; Italian organised crime groups; Russian organised crime groups; organised crime infiltration; the UK real estate sector; money laundering schemes; crime enablers, the UK real estate legislation; the UK anti-money laundering legislation; socio-economic consequences; law enforcement strategy/operations
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Identifiers

Local EPrints ID: 471636
URI: http://eprints.soton.ac.uk/id/eprint/471636
DOI: doi:10.5258/SOTON/D2396
PURE UUID: 6a3a0c04-ea5d-477c-8b8e-7eace7486b63
ORCID for Emanuele Sclafani: ORCID iD orcid.org/0000-0002-8670-7511
ORCID for Jenny Fleming: ORCID iD orcid.org/0000-0002-7913-3345
ORCID for Anita Lavorgna: ORCID iD orcid.org/0000-0001-8484-1613

Catalogue record

Date deposited: 15 Nov 2022 17:51
Last modified: 17 Nov 2023 02:48

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Contributors

Creator: Emanuele Sclafani ORCID iD
Research team head: Jenny Fleming ORCID iD
Research team head: Anita Lavorgna ORCID iD

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