Big Data and Social Media for Sustainability: Proposal for a framework and methodology to foster People Sustainable Behavior and to assess Corporate Sustainability

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Bibliographic Details
Title: Big Data and Social Media for Sustainability: Proposal for a framework and methodology to foster People Sustainable Behavior and to assess Corporate Sustainability
Authors: Barbeito Caamaño, Adriana Macarena
Contributors: University/Department: Universitat Jaume I. Escola de Doctorat
Thesis Advisors: Chalmeta, Ricardo, Pucheta-Martínez, María Consuelo
Source: TDX (Tesis Doctorals en Xarxa)
Publisher Information: Universitat Jaume I, 2025.
Publication Year: 2025
Physical Description: 135 p.
Subject Terms: Sustainable behavior, Online social networks, Big Data, Sustainability reports, Sustainable development, Sentiment analysis, Ciències econòmiques i empresarials
Description: Compendi d'articles
Description (Translated): A large part of the population is not aware of the importance of sustainable behaviours and continues engaging in behaviours like failing to recycle, littering in natural settings, wasting water, overconsuming, etc. On the other hand, to know whether a company is behaving sustainably, stakeholders usually resort to the sustainability reports issued by the corporations themselves. However, this can lead to information bias or greenwashing. This PhD theses contribute to solve two research gaps regarding individuals' lack of awareness of the need for sustainable behaviours, and the lack of an independent procedure to assess Corporate Sustainability, by (1) Proposing a guiding framework on how to use Online Social Networks (OSNs) for Sustainability Awareness and Individuals’ Behaviour, as well developing a future research agenda in the field; and (2) Developing a method to assess Corporate Sustainability with an ESG approach (environmental, social and governance) using stakeholders’ opinions on the internet.
Programa de Doctorat en Economia i Empresa
Document Type: Dissertation/Thesis
File Description: application/pdf
Language: English
Access URL: http://hdl.handle.net/10803/695606
Rights: L'accés als continguts d'aquesta tesi queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons: http://creativecommons.org/licenses/by-nc-sa/4.0/
info:eu-repo/semantics/embargoedAccess
Accession Number: edstdx.10803.695606
Database: TDX
Description
Abstract:Compendi d'articles