Approach to the Impact of Digital Technologies on Sustainability Reporting through Structural Equation Modeling and Artificial Neural Networks
Electronics
; 12(9):2048, 2023.
Article
in English
| ProQuest Central | ID: covidwho-2317166
ABSTRACT
The motivation for study derives from the requirements imposed by the European Union Corporate Sustainability Reporting Directive, which increases the sustainability reporting scope and the need for companies to use emerging digital technologies. The research aim is to evaluate the digital transformation impact of the European Union companies on sustainability reporting expressed through three sustainable performance indicators (economic, social, and ecological) based on a conceptual model. The data were collected from Eurostat for 2011–2021. The study proposes a framework for sustainable performance analysis through linear regression models and structural equations. Additionally, a hierarchy of digitization indicators is created by modeling structural equations, depending on their impact on sustainability performance indicators, which is validated using neural networks. The results indicate that the company's digital transformation indicators positively influence economic and social performance and lead to an improved environmental protection (a decrease in pollution), proving the established hypotheses' validity. The proposed model can be the basis for companies to create their dashboards for analyzing and monitoring sustainable performance. This research can be the basis of other studies, having a significant role in establishing economic and environmental strategies to stimulate an increase of companies that carry out sustainability reporting.
Electronics; sustainability reporting; digital transformation; modeling structural equations; artificial neural networks; European Union; digital technologies; cloud computing; Sustainability; Modelling; Structural equation modeling; Regression models; Indicators; Climate change; COVID-19; Transformations (mathematics); Big Data; Artificial intelligence; Sustainable development; Environmental protection; Pandemics; Decision making; Neural networks; Society; Accounting; Multivariate statistical analysis; Digitization; Industry 4.0; Coronaviruses; Digital technology; Europe
Full text:
Available
Collection:
Databases of international organizations
Database:
ProQuest Central
Type of study:
Experimental Studies
Language:
English
Journal:
Electronics
Year:
2023
Document Type:
Article
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