Sustainable Analytics
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TY - JOUR AU - Ngo, Thanh PY - 2026 DA - 2026/01/13 TI - Sustainable Analytics: The New Era JO - Sustainable Analytics T2 - Sustainable Analytics JF - Sustainable Analytics VL - 1 IS - 1 SP - 1 EP - 3 DO - 10.62762/SA.2025.763349 UR - https://www.icck.org/article/abs/SA.2025.763349 KW - Sustainable Analytics KW - Inaugural Issue KW - Data-driven KW - Human-centric KW - Resilience AB - Sustainable analytics is important in helping decision-makers to understand their human-centric role in maintaining the resilience of their businesses and developing toward sustainability in the new era of Industry 5.0. The inaugural editorial of Sustainable Analytics introduces the journal’s missions to advancing the application of analytical techniques and methodologies to promote sustainability across various sectors. It aims to foster interdisciplinary collaboration and innovative solutions to global sustainability challenges. The journal aspires to become a platform for communication and a valuable repositor of resources for researchers in the relevant fields of environmental management, energy, agriculture, urban planning, and supply chain optimization regarding the topics of (big) data-driven decision-making, sustainability metrics, risk and performance management, and the integration of ESG factors. SN - pending PB - Institute of Central Computation and Knowledge LA - English ER -
@article{Ngo2026Sustainabl,
author = {Thanh Ngo},
title = {Sustainable Analytics: The New Era},
journal = {Sustainable Analytics},
year = {2026},
volume = {1},
number = {1},
pages = {1-3},
doi = {10.62762/SA.2025.763349},
url = {https://www.icck.org/article/abs/SA.2025.763349},
abstract = {Sustainable analytics is important in helping decision-makers to understand their human-centric role in maintaining the resilience of their businesses and developing toward sustainability in the new era of Industry 5.0. The inaugural editorial of Sustainable Analytics introduces the journal’s missions to advancing the application of analytical techniques and methodologies to promote sustainability across various sectors. It aims to foster interdisciplinary collaboration and innovative solutions to global sustainability challenges. The journal aspires to become a platform for communication and a valuable repositor of resources for researchers in the relevant fields of environmental management, energy, agriculture, urban planning, and supply chain optimization regarding the topics of (big) data-driven decision-making, sustainability metrics, risk and performance management, and the integration of ESG factors.},
keywords = {Sustainable Analytics, Inaugural Issue, Data-driven, Human-centric, Resilience},
issn = {pending},
publisher = {Institute of Central Computation and Knowledge}
}
Copyright © 2026 by the Author(s). Published by Institute of Central Computation and Knowledge. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. 
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