The Use of Bayesian Acyclic Network to Assess the Impact of Digital Technology Attributes on Sustainability Pillars

2021 Fifth World Conference on Smart Trends in Systems Security and Sustainability (WorldS4): Proceedings 2021
Egils Ginters, Dilara Basdogan

Sustainability forecasting of digital technologies is based on the assessment of the regularities of the impact of technology attributes on business, society and the environment. The authors of the article offer a universal approach based on the general attributes of digital technology and use of a two-level hierarchical Bayesian acyclic network structure for impacts probabilities propagation assessment.

Keywords
digital technology, sustainability assessment, Bayesian network, simulation
DOI
10.1109/WorldS451998.2021.9514060
Hyperlink
https://ieeexplore.ieee.org/document/9514060

Ginters, E., Basdogan, D. The Use of Bayesian Acyclic Network to Assess the Impact of Digital Technology Attributes on Sustainability Pillars. In: 2021 Fifth World Conference on Smart Trends in Systems Security and Sustainability (WorldS4): Proceedings, United Kingdom, London, 29-30 July, 2021. Piscataway: IEEE, 2021, pp.25-29. ISBN 978-1-6654-0096-1. e-ISBN 978-1-6654-0097-8. Available from: doi:10.1109/WorldS451998.2021.9514060

Publication language
English (en)