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Authors = Mohammad Reza Entezarian

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16 pages, 1028 KiB  
Article
Information Content Measurement of ESG Factors via Entropy and Its Impact on Society and Security
by Hossein Hassani, Stephan Unger and Mohammad Reza Entezarian
Information 2021, 12(10), 391; https://doi.org/10.3390/info12100391 - 23 Sep 2021
Cited by 8 | Viewed by 4778
Abstract
We conducted a singular and sectoral vulnerability assessment of ESG factors of Dow-30-listed companies by applying the entropy weight method and analyzing each ESG factor’s information contribution to the overall ESG disclosure score. By reducing information entropy information, weaknesses in the structure of [...] Read more.
We conducted a singular and sectoral vulnerability assessment of ESG factors of Dow-30-listed companies by applying the entropy weight method and analyzing each ESG factor’s information contribution to the overall ESG disclosure score. By reducing information entropy information, weaknesses in the structure of a socio-technological system can be identified and improved. The relative information gain of each indicator improves proportionally to the reduction in entropy. The social pillar contains the most crucial information, followed by the environmental and governance pillars, relative to each other. The difference between the social and economic pillars was found to be statistically not significant, while the differences between the social pillar, respective to the economic and governance pillars were statistically significant. This suggests noisy information content of the governance pillar, indicating improvement potential in governance messaging. Moreover, we found that companies with lean and flexible governance structures are more likely to convey information content better. We also discuss the impact of ESG measures on society and security. Full article
(This article belongs to the Special Issue Data Modeling and Predictive Analytics)
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29 pages, 549 KiB  
Article
Big Data and the United Nations Sustainable Development Goals (UN SDGs) at a Glance
by Hossein Hassani, Xu Huang, Steve MacFeely and Mohammad Reza Entezarian
Big Data Cogn. Comput. 2021, 5(3), 28; https://doi.org/10.3390/bdcc5030028 - 28 Jun 2021
Cited by 72 | Viewed by 21759
Abstract
The launch of the United Nations (UN) 17 Sustainable Development Goals (SDGs) in 2015 was a historic event, uniting countries around the world around the shared agenda of sustainable development with a more balanced relationship between human beings and the planet. The SDGs [...] Read more.
The launch of the United Nations (UN) 17 Sustainable Development Goals (SDGs) in 2015 was a historic event, uniting countries around the world around the shared agenda of sustainable development with a more balanced relationship between human beings and the planet. The SDGs affect or impact almost all aspects of life, as indeed does the technological revolution, empowered by Big Data and their related technologies. It is inevitable that these two significant domains and their integration will play central roles in achieving the 2030 Agenda. This research aims to provide a comprehensive overview of how these domains are currently interacting, by illustrating the impact of Big Data on sustainable development in the context of each of the 17 UN SDGs. Full article
(This article belongs to the Special Issue Big Data and UN Sustainable Development Goals (SDGs))
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