Dataset supporting thesis titled: "Criminal couture: consumer demand for luxury fashion sourced from the illegal wildlife trade"
Dataset supporting thesis titled: "Criminal couture: consumer demand for luxury fashion sourced from the illegal wildlife trade"
This record comprises three datasets associated with the doctoral thesis Criminal Couture: Consumer Demand for Luxury Fashion Sourced from the Illegal Wildlife Trade. The datasets include:
1) Seizure data obtained from UK Border Force, detailing animal and plant contraband relevant to the illegal wildlife trade.
2) Survey data capturing consumer attitudes toward luxury fashion products made from exotic skins, alongside psychological and personality attributes.
3) Interview transcripts from semi-structured interviews with luxury consumers discussing ethical consumption and perceptions of exotic skin products.
University of Southampton
Awasthi, Arjun
f6868e60-6497-46e0-9667-2c1ddf65ac11
Awasthi, Arjun
f6868e60-6497-46e0-9667-2c1ddf65ac11
Awasthi, Arjun
(2025)
Dataset supporting thesis titled: "Criminal couture: consumer demand for luxury fashion sourced from the illegal wildlife trade".
University of Southampton
doi:10.5258/SOTON/D3731
[Dataset]
Abstract
This record comprises three datasets associated with the doctoral thesis Criminal Couture: Consumer Demand for Luxury Fashion Sourced from the Illegal Wildlife Trade. The datasets include:
1) Seizure data obtained from UK Border Force, detailing animal and plant contraband relevant to the illegal wildlife trade.
2) Survey data capturing consumer attitudes toward luxury fashion products made from exotic skins, alongside psychological and personality attributes.
3) Interview transcripts from semi-structured interviews with luxury consumers discussing ethical consumption and perceptions of exotic skin products.
Text
SurveyDataJulyR.csv
- Dataset
Restricted to Registered users only
Text
Transcripts_Interviews.pdf
- Dataset
Spreadsheet
FinalBFData.xlsx
- Dataset
Text
Arjun_Awasthi_Thesis_Criminal_Couture_dataset_readme.txt
- Dataset
More information
Published date: 2025
Identifiers
Local EPrints ID: 506267
URI: http://eprints.soton.ac.uk/id/eprint/506267
PURE UUID: f9ba728b-8202-452a-85e0-f98eb5f89844
Catalogue record
Date deposited: 31 Oct 2025 17:48
Last modified: 01 Nov 2025 02:59
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Contributors
Creator:
Arjun Awasthi
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