Conference Paper


Unstructured big-data predictive modelling for fashion sustainable consumption behaviour

Abstract

This research is a pilot study investigating the most critical factors influencing Fashion Sustainable Consumption (FSC), taking advantage of AI technologies and extensive unstructured Big-Data availability to analyse Social-Media and online discussions and evaluate the application of the Self Determination Theory (SDT). Furthermore, the research intends to extend the SDT conducting a deep learning exploratory analysis with Natural Language Processing to identify dominant sentiment associations that underpin the design of an FSC predictive model. 

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Authors

Chiariello, Michele
Nikhashemi, S.R.
Laurie, Sally

Oxford Brookes departments

Oxford Brookes Business School

Dates

Year of publication: 2024
Date of RADAR deposit: 2024-09-12

Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License

Related resources

This RADAR resource is Part of Academy of Marketing conference 2024 paper proceedings

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