TITLE:
Digital Transformation and ESG Investing as the Driving Force for Sustainable Development
AUTHORS:
Athanasios Nasis, Ioanna Siouziou, Kanellos Toudas
KEYWORDS:
Digital Transformation, Sustainability, ESG Factors
JOURNAL NAME:
Theoretical Economics Letters,
Vol.14 No.5,
October
31,
2024
ABSTRACT: The digital revolution is clearly shown to have reshaped industries, economies, and societies all over the world. The digitalization that took place in relation to the enterprises’ operations increased the complexity of the entrepreneurial environment, as digital services have consisted communication and data sharing much easier. Recent developments like AI, IoT, big data have enabled significant changes to the production processes and structure of enterprises, while the co-ordination of their activities have not stayed intact. Today, the globe has faced a series of topics of growing concern such as protection of environment, workplace diversity, right of stakeholders and transparency. These challenges have been confronted by organizations incorporating environmental, social, and corporate governance (ESG) factors and digital transformation in their innovation business strategies. Digital technologies increase as the consumption of energy becomes vast, and high generation of electronic waste leads to environmental degradation. Knowing the connection between digital transformation and E.S.G. factors is important as can be seen from these changes. There is enjoyment of enhanced financial performance and resilience by companies that have demonstrated good ESG performance. This has made the connection between the two variables a concerned research area since it sheds light on the key considerations toward attaining the best performance level. The research is meant to investigate the relationship between digitalization and ESG factors using a research sample with countries from different regions. Quantitative research data collection was done by world bank while statical analysis was performed using the methodology of OLS regression. The study gives empirical insights into the improvement of the area, letting the major stakeholders know strategies that would lead to the best performance of individual industries and government departments in the different regions.