Benchmarking Internet Promotion of Renewable Energy Enterprises: Is Sustainability Present?

Abstract

Sustainability constitutes a broad discipline that focuses on the social, economic and environmental impact of human activities. Many policies and strategies have been developed for the pursuit of environmental sustainability and the guidance to a green society. Many enterprises have taken meaningful steps to improve their own environmental performance through corporate sustainability and environmental management. Environmental management contributes to significant improvements to environmental performance of the enterprises. This paper aims to evaluate the Renewable Energy Enterprises performance in the Internet in Thessaloniki Prefecture regarding the characteristics of sustainability using Multi-criteria Decision Analysis. TOPSIS method was used to provide a ranking of the Renewable Energy Enterprises according to their sustainability and finally conclude to a benchmark. According to the results of the research, the Renewable Energy Enterprises achieve a good level of sustainability but not the optimum. However, the entrepreneurs should adopt modern environmental policy, sustainable marketing, green network framework and certified environmental management system in order to consider their enterprise sustainable.

Assessing the ICT exploitation in EU energy policy: a multicriteria evaluation

“…The exploitation of ICT for international sustainable development is moving forward into the next phase (Heeks, 2008;Koliouska et al, 2020). The last decades, sustainability attracts a great attention worldwide because of the increasing number of pressing environmental problems (Andreopoulou and Koliouska, 2018;Segura-Salazar and Tavares, 2018). The full transformation of the EU energy sector is expected to be realized by 2050.…”

Model proposition for predicting sustainability classes using multicriteria decision support and artificial intelligence

“…The reading of these reports was aided with the use of mining text software, KH Coder, version 3.Beta.01a (Higuchi, 2001), through the use of options (Word) Frequency list, searched words and its respective frequency of occurrence, Word association, words strongly associated with other words, KWIC (Key Words in Context) concordance, how the searched words are used in the text, and Co-occurrence network, a net with syntagmatic relations between words (Higuchi, 2001;Zhai & Massung, 2016). This way, in case it found a keyword associated to the indicator in a certain paragraph of the RSA report, and if this paragraph was associated to the description of the indicator, "1" was computed to the indicator (Andreopoulou & Koliouska, 2018). At the end, it obtained a general corporate governance indicator through adding the values 0 or 1 of the respective indicators.…”