Please use this identifier to cite or link to this item:
http://hdl.handle.net/10773/32549
Title: | Multivariate sustainability profile of Global Fortune 500 companies using GRI-G4 database |
Author: | Jiménez-Hernández, Mónica Vicente-Galindo, Purificación Tejedor-Flores, Nathalia Freitas, Adelaide Galindo, Purificación |
Issue Date: | 2021 |
Publisher: | IGI Global |
Abstract: | The main objective of this research is to find the sustainability gradients of Global Fortune 500 companies and sort them as a function of economic, environmental, and social components using multivariate statistical methods to establish the foundations for better knowledge of the trends and sustainability reporting habits. A combined approach, comprising principal coordinates analysis (PCoA) and logistic regression model (LRM), is proposed to build an external logistics biplot (ELB). Moreover, HJ-Biplot and parallel coordinates are applied. This chapter helps to understand why many companies view their corporate social responsibility (CSR) reports as a way to guarantee the credibility of the published information. In particular, based on the Global Reporting Initiative, the sustainability gradients of the Global Fortune 500 companies are obtained and statistically exploited to analyze how the companies can make improvements in terms of sustainability. |
Peer review: | yes |
URI: | http://hdl.handle.net/10773/32549 |
DOI: | 10.4018/978-1-7998-6985-6.ch003 |
ISBN: | 9781799869856 |
Appears in Collections: | CIDMA - Capítulo de livro PSG - Capítulo de livro |
Files in This Item:
File | Description | Size | Format | |
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2021Jiménez-HernándezEtAl_ChapterIGIGlobal_Multivariate-Sustainability-Profile-of-Global-Fortune-500-Companies-Using-GRI-G4-Database.pdf | 1.74 MB | Adobe PDF |
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